From e4c72fd7c8018d9dfc6043e7304275e2fffac89f Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Tue, 7 Mar 2023 19:09:27 +0100 Subject: Adding upstream version 11.3.0. Signed-off-by: Daniel Baumann --- .github/workflows/python-publish.yml | 14 +- docs/search.js | 2 +- docs/sqlglot.html | 2 +- docs/sqlglot/dataframe/sql.html | 40 +- docs/sqlglot/dialects/bigquery.html | 1262 +- docs/sqlglot/dialects/clickhouse.html | 2 + docs/sqlglot/dialects/databricks.html | 2 + docs/sqlglot/dialects/dialect.html | 262 +- docs/sqlglot/dialects/drill.html | 2 + docs/sqlglot/dialects/duckdb.html | 556 +- docs/sqlglot/dialects/hive.html | 2 + docs/sqlglot/dialects/mysql.html | 2 + docs/sqlglot/dialects/oracle.html | 615 +- docs/sqlglot/dialects/postgres.html | 598 +- docs/sqlglot/dialects/presto.html | 2 + docs/sqlglot/dialects/redshift.html | 2 + docs/sqlglot/dialects/snowflake.html | 1707 +- docs/sqlglot/dialects/spark.html | 2 + docs/sqlglot/dialects/sqlite.html | 2 + docs/sqlglot/dialects/starrocks.html | 2 + docs/sqlglot/dialects/tableau.html | 2 + docs/sqlglot/dialects/teradata.html | 486 +- docs/sqlglot/dialects/trino.html | 2 + docs/sqlglot/dialects/tsql.html | 2 + docs/sqlglot/executor/python.html | 2 + docs/sqlglot/expressions.html | 19511 +++++++++++---------- docs/sqlglot/generator.html | 7854 +++++---- docs/sqlglot/lineage.html | 2 +- docs/sqlglot/optimizer/merge_subqueries.html | 118 +- docs/sqlglot/optimizer/optimizer.html | 2 +- docs/sqlglot/optimizer/pushdown_projections.html | 277 +- docs/sqlglot/parser.html | 14698 ++++++++-------- docs/sqlglot/tokens.html | 2565 +-- sqlglot/__init__.py | 2 +- sqlglot/dataframe/sql/column.py | 8 +- sqlglot/dataframe/sql/dataframe.py | 2 +- sqlglot/dataframe/sql/functions.py | 8 +- sqlglot/dialects/bigquery.py | 4 + sqlglot/dialects/clickhouse.py | 3 + sqlglot/dialects/dialect.py | 5 +- sqlglot/dialects/duckdb.py | 6 + sqlglot/dialects/hive.py | 4 + sqlglot/dialects/mysql.py | 3 + sqlglot/dialects/oracle.py | 17 +- sqlglot/dialects/postgres.py | 7 +- sqlglot/dialects/snowflake.py | 41 +- sqlglot/dialects/teradata.py | 19 +- sqlglot/expressions.py | 38 +- sqlglot/generator.py | 81 +- sqlglot/optimizer/merge_subqueries.py | 24 +- sqlglot/optimizer/pushdown_projections.py | 6 +- sqlglot/parser.py | 179 +- sqlglot/tokens.py | 8 + tests/dialects/test_dialect.py | 12 +- tests/dialects/test_duckdb.py | 4 +- tests/dialects/test_oracle.py | 5 + tests/dialects/test_postgres.py | 41 + tests/dialects/test_redshift.py | 6 + tests/dialects/test_snowflake.py | 68 +- tests/dialects/test_teradata.py | 21 +- tests/fixtures/identity.sql | 12 +- tests/fixtures/optimizer/optimizer.sql | 45 + 62 files changed, 26498 insertions(+), 24780 deletions(-) diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index ae4ecfc..b73681a 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -19,6 +19,13 @@ jobs: python -m pip install --upgrade pip pip install setuptools wheel twine make install-dev + - name: Build and publish + env: + TWINE_USERNAME: __token__ + TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} + run: | + python setup.py sdist bdist_wheel + twine upload dist/* - name: Update documentation run: | make docs @@ -30,10 +37,3 @@ jobs: uses: ad-m/github-push-action@master with: github_token: ${{ secrets.GITHUB_TOKEN }} - - name: Build and publish - env: - TWINE_USERNAME: __token__ - TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} - run: | - python setup.py sdist bdist_wheel - twine upload dist/* diff --git a/docs/search.js b/docs/search.js index b1013bc..ac4a22c 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();oSQLGlot\n\n

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.

\n\n

It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.

\n\n

You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.

\n\n

Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.

\n\n

Contributions are very welcome in SQLGlot; read the contribution guide to get started!

\n\n

Table of Contents

\n\n\n\n

Install

\n\n

From PyPI:

\n\n
pip3 install sqlglot\n
\n\n

Or with a local checkout:

\n\n
make install\n
\n\n

Requirements for development (optional):

\n\n
make install-dev\n
\n\n

Get in Touch

\n\n

We'd love to hear from you. Join our community Slack channel!

\n\n

Examples

\n\n

Formatting and Transpiling

\n\n

Easily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\n
\n\n

SQLGlot can even translate custom time formats:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\n
\n\n

As another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL, and then transpile it to Spark, which uses backticks for identifiers and FLOAT instead of REAL:

\n\n
\n
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\n
\n\n
\n
WITH `baz` AS (\n  SELECT\n    `a`,\n    `c`\n  FROM `foo`\n  WHERE\n    `a` = 1\n)\nSELECT\n  `f`.`a`,\n  `b`.`b`,\n  `baz`.`c`,\n  CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n  ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n  ON `f`.`a` = `baz`.`a`\n
\n
\n\n

Comments are also preserved in a best-effort basis when transpiling SQL code:

\n\n
\n
sql = """\n/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), # comment 3\n  y               -- comment 4\nFROM\n  bar /* comment 5 */,\n  tbl #          comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n
\n\n
\n
/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), /* comment 3 */\n  y /* comment 4 */\nFROM bar /* comment 5 */, tbl /*          comment 6 */\n
\n
\n\n

Metadata

\n\n

You can explore SQL with expression helpers to do things like find columns and tables:

\n\n
\n
from sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n    print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n    for projection in select.expressions:\n        print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n    print(table.name)\n
\n
\n\n

Parser Errors

\n\n

When the parser detects an error in the syntax, it raises a ParserError:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\n
\n\n
sqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n  select foo( FROM bar\n              ~~~~\n
\n\n

Structured syntax errors are accessible for programmatic use:

\n\n
\n
import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n
\n
\n\n
\n
[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n
\n
\n\n

Unsupported Errors

\n\n

Presto APPROX_DISTINCT supports the accuracy argument which is not supported in Hive:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\n
\n\n
\n
APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\n
\n\n

Build and Modify SQL

\n\n

SQLGlot supports incrementally building sql expressions:

\n\n
\n
from sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n
\n\n
\n
'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\n
\n\n

You can also modify a parsed tree:

\n\n
\n
from sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n
\n\n
\n
'SELECT x FROM y, z'\n
\n
\n\n

There is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:

\n\n
\n
from sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n    if isinstance(node, exp.Column) and node.name == "a":\n        return parse_one("FUN(a)")\n    return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n
\n\n
\n
'SELECT FUN(a) FROM x'\n
\n
\n\n

SQL Optimizer

\n\n

SQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:

\n\n
\n
import sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n    optimize(\n        sqlglot.parse_one("""\n            SELECT A OR (B OR (C AND D))\n            FROM x\n            WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n        """),\n        schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n    ).sql(pretty=True)\n)\n
\n
\n\n
\n
SELECT\n  (\n    "x"."a" OR "x"."b" OR "x"."c"\n  ) AND (\n    "x"."a" OR "x"."b" OR "x"."d"\n  ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n  CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\n
\n\n

AST Introspection

\n\n

You can see the AST version of the sql by calling repr:

\n\n
\n
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n
\n\n
\n
(SELECT expressions:\n  (ALIAS this:\n    (ADD this:\n      (COLUMN this:\n        (IDENTIFIER this: a, quoted: False)), expression:\n      (LITERAL this: 1, is_string: False)), alias:\n    (IDENTIFIER this: z, quoted: False)))\n
\n
\n\n

AST Diff

\n\n

SQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:

\n\n
\n
from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n
\n\n
\n
[\n  Remove(expression=(ADD this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Insert(expression=(SUB this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Move(expression=(COLUMN this:\n    (IDENTIFIER this: c, quoted: False))),\n  Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n  ...\n]\n
\n
\n\n

See also: Semantic Diff for SQL.

\n\n

Custom Dialects

\n\n

Dialects can be added by subclassing Dialect:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n\nprint(Dialect["custom"])\n
\n
\n\n
<class '__main__.Custom'>\n
\n\n

SQL Execution

\n\n

One can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:

\n\n
\n
from sqlglot.executor import execute\n\ntables = {\n    "sushi": [\n        {"id": 1, "price": 1.0},\n        {"id": 2, "price": 2.0},\n        {"id": 3, "price": 3.0},\n    ],\n    "order_items": [\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 2, "order_id": 1},\n        {"sushi_id": 3, "order_id": 2},\n    ],\n    "orders": [\n        {"id": 1, "user_id": 1},\n        {"id": 2, "user_id": 2},\n    ],\n}\n\nexecute(\n    """\n    SELECT\n      o.user_id,\n      SUM(s.price) AS price\n    FROM orders o\n    JOIN order_items i\n      ON o.id = i.order_id\n    JOIN sushi s\n      ON i.sushi_id = s.id\n    GROUP BY o.user_id\n    """,\n    tables=tables\n)\n
\n
\n\n
\n
user_id price\n      1   4.0\n      2   3.0\n
\n
\n\n

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation:

\n\n
make docs-serve\n
\n\n

Run Tests and Lint

\n\n
make check  # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\n

Benchmarks

\n\n

Benchmarks run on Python 3.10.5 in seconds.

\n\n\n\n\n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n
Querysqlglotsqlfluffsqltreesqlparsemoz_sql_parsersqloxide
tpch0.01308 (1.0)1.60626 (122.7)0.01168 (0.893)0.04958 (3.791)0.08543 (6.531)0.00136 (0.104)
short0.00109 (1.0)0.14134 (129.2)0.00099 (0.906)0.00342 (3.131)0.00652 (5.970)8.76E-5 (0.080)
long0.01399 (1.0)2.12632 (151.9)0.01126 (0.805)0.04410 (3.151)0.06671 (4.767)0.00107 (0.076)
crazy0.03969 (1.0)24.3777 (614.1)0.03917 (0.987)11.7043 (294.8)1.03280 (26.02)0.00625 (0.157)
\n\n

Optional Dependencies

\n\n

SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:

\n\n
\n
x + interval '1' month\n
\n
\n\n
\n"}, "sqlglot.pretty": {"fullname": "sqlglot.pretty", "modulename": "sqlglot", "qualname": "pretty", "kind": "variable", "doc": "

Whether to format generated SQL by default.

\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "

\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "

Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • **opts: other sqlglot.parser.Parser options.
  • \n
\n\n
Returns:
\n\n
\n

The resulting syntax tree collection.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "

Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • into: the SQLGlot Expression to parse into.
  • \n
  • **opts: other sqlglot.parser.Parser options.
  • \n
\n\n
Returns:
\n\n
\n

The syntax tree for the first parsed statement.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "

Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to transpile.
  • \n
  • read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • identity: if set to True and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.
  • \n
  • error_level: the desired error level of the parser.
  • \n
  • **opts: other sqlglot.generator.Generator options.
  • \n
\n\n
Returns:
\n\n
\n

The list of transpiled SQL statements.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "

PySpark DataFrame SQL Generator

\n\n

This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.

\n\n

Currently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.

\n\n

How to use

\n\n

Instructions

\n\n
    \n
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
  • \n
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
  • \n
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>).\n
      \n
    • The column structure can be defined the following ways:\n
        \n
      • Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
          \n
        • Ex: {'cola': 'string', 'colb': 'int'}
        • \n
      • \n
      • PySpark DataFrame StructType similar to when using createDataFrame.\n
          \n
        • Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
        • \n
      • \n
      • A string of names and types similar to what is supported in createDataFrame.\n
          \n
        • Ex: cola: STRING, colb: INT
        • \n
      • \n
      • [Not Recommended] A list of string column names without type.\n
          \n
        • Ex: ['cola', 'colb']
        • \n
        • The lack of types may limit functionality in future releases.
        • \n
      • \n
    • \n
    • See Registering Custom Schema for information on how to skip this step if the information is stored externally.
    • \n
  • \n
  • Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\n
      \n
    • In most cases a single SQL statement is returned. Currently the only exception is when caching DataFrames which isn't supported in other dialects.
    • \n
    • Spark is the default output dialect. See dialects for a full list of dialects.
    • \n
    • Ex: .sql(pretty=True, dialect='bigquery')
    • \n
  • \n
\n\n

Examples

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n  'employee_id': 'INT',\n  'fname': 'STRING',\n  'lname': 'STRING',\n  'age': 'INT',\n})  # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))  # Spark will be the dialect used by default\n
\n
\n\n
SELECT\n  `employee`.`age` AS `age`,\n  COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n  `employee`.`age`\n
\n\n

Registering Custom Schema Class

\n\n

The step of adding sqlglot.schema.add_table can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema abstract class and then assigning that class to sqlglot.schema.

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n  ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\n
\n\n

Example Implementations

\n\n

Bigquery

\n\n
\n
from google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n  result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n    print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\n
\n\n

Snowflake

\n\n
\n
import os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n    user=os.environ["SNOWFLAKE_USER"],\n    password=os.environ["SNOWFLAKE_PASS"],\n    account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n    .sql(dialect="snowflake")\n)\n\ntry:\n    for sql in sql_statements:\n        cs.execute(sql)\n    results = cs.fetchall()\n    for row in results:\n        print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n    cs.close()\nctx.close()\n
\n
\n\n

Spark

\n\n
\n
from pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n    df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\n
\n\n

Unsupportable Operations

\n\n

Any operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.

\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140512212685136'>], List[<MagicMock id='140512212685136'>], Tuple]],\tschema: Optional[<MagicMock id='140512212632768'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "

\n", "signature": "(\tspark: <MagicMock id='140512217589712'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140512217372640'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "

\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.sort": {"fullname": "sqlglot.dataframe.sql.DataFrame.sort", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sort", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.union": {"fullname": "sqlglot.dataframe.sql.DataFrame.union", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.union", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionByName", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionByName", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame,\tallowMissingColumns: bool = False):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersect": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersect", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersect", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersectAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersectAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.exceptAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.exceptAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.distinct": {"fullname": "sqlglot.dataframe.sql.DataFrame.distinct", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.distinct", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropDuplicates", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropDuplicates", "kind": "function", "doc": "

\n", "signature": "(self, subset: Optional[List[str]] = None):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropna": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropna", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.fillna": {"fullname": "sqlglot.dataframe.sql.DataFrame.fillna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.fillna", "kind": "function", "doc": "

Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column

\n\n

Possibility for improvement: Use typeof function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.

\n", "signature": "(\tself,\tvalue: <MagicMock id='140512213181888'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='140512213212256'>], <MagicMock id='140512213212256'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolName: str,\tcol: sqlglot.dataframe.sql.column.Column) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumnRenamed", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumnRenamed", "kind": "function", "doc": "

\n", "signature": "(self, existing: str, new: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.drop": {"fullname": "sqlglot.dataframe.sql.DataFrame.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.limit": {"fullname": "sqlglot.dataframe.sql.DataFrame.limit", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.limit", "kind": "function", "doc": "

\n", "signature": "(self, num: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.hint": {"fullname": "sqlglot.dataframe.sql.DataFrame.hint", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.hint", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*parameters: Union[str, int, NoneType]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.repartition": {"fullname": "sqlglot.dataframe.sql.DataFrame.repartition", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.repartition", "kind": "function", "doc": "

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='140512211332416'>],\t*cols: <MagicMock id='140512211476032'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

\n", "signature": "(self, numPartitions: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.cache": {"fullname": "sqlglot.dataframe.sql.DataFrame.cache", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.cache", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.persist": {"fullname": "sqlglot.dataframe.sql.DataFrame.persist", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.persist", "kind": "function", "doc": "

Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html

\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression: Union[<MagicMock id='140512213723520'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140512211539456'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='140512211530224'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140512211656352'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='140512211702864'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140512211833936'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140512211366576'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140512211984032'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "

\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "

\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "

\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "

Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string

\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "

\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "

\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140512212096848'>, Iterable[<MagicMock id='140512212096848'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140512212218784'>,\tupperBound: <MagicMock id='140512212292832'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='140512212334048'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "

\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140512209413808'>, List[<MagicMock id='140512209413808'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140512209283600'>, List[<MagicMock id='140512209283600'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140512209559296'>, List[<MagicMock id='140512209559296'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140512209618832'>, List[<MagicMock id='140512209618832'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "

\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "

Dialects

\n\n

While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.

\n\n

The base sqlglot.dialects.dialect.Dialect class implements a generic dialect that aims to be as universal as possible.

\n\n

Each SQL variation has its own Dialect subclass, extending the corresponding Tokenizer, Parser and Generator\nclasses as needed.

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n
\n
\n\n

This is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS mapping.

\n\n
\n"}, "sqlglot.dialects.bigquery": {"fullname": "sqlglot.dialects.bigquery", "modulename": "sqlglot.dialects.bigquery", "kind": "module", "doc": "

Supports BigQuery Standard SQL.

\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.except_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse": {"fullname": "sqlglot.dialects.clickhouse", "modulename": "sqlglot.dialects.clickhouse", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.clickhouse.ClickHouse": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Parser", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.databricks.Databricks": {"fullname": "sqlglot.dialects.databricks.Databricks", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark"}, "sqlglot.dialects.databricks.Databricks.Parser": {"fullname": "sqlglot.dialects.databricks.Databricks.Parser", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialects": {"fullname": "sqlglot.dialects.dialect.Dialects", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects", "kind": "class", "doc": "

An enumeration.

\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "

\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "

\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "

Helper used for time expressions.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
  • \n
  • dialect: target sql dialect.
  • \n
  • default: the default format, True being time.
  • \n
\n\n
Returns:
\n\n
\n

A callable that can be used to return the appropriately formatted time expression.

\n
\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "

In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "

\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "

\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "

\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb": {"fullname": "sqlglot.dialects.duckdb", "modulename": "sqlglot.dialects.duckdb", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.duckdb.DuckDB": {"fullname": "sqlglot.dialects.duckdb.DuckDB", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Tokenizer", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Parser", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.hive.Hive": {"fullname": "sqlglot.dialects.hive.Hive", "modulename": "sqlglot.dialects.hive", "qualname": "Hive", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.hive.Hive.Tokenizer": {"fullname": "sqlglot.dialects.hive.Hive.Tokenizer", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.hive.Hive.Parser": {"fullname": "sqlglot.dialects.hive.Hive.Parser", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"fullname": "sqlglot.dialects.hive.Hive.Generator.with_properties", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties):", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.datatype_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.mysql.MySQL": {"fullname": "sqlglot.dialects.mysql.MySQL", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"fullname": "sqlglot.dialects.mysql.MySQL.Tokenizer", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.mysql.MySQL.Parser": {"fullname": "sqlglot.dialects.mysql.MySQL.Parser", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.setitem_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.set_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.set_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.oracle": {"fullname": "sqlglot.dialects.oracle", "modulename": "sqlglot.dialects.oracle", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.oracle.Oracle": {"fullname": "sqlglot.dialects.oracle.Oracle", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.oracle.Oracle.Parser": {"fullname": "sqlglot.dialects.oracle.Oracle.Parser", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.table_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.table_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Table, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.xmltable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.XMLTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"fullname": "sqlglot.dialects.oracle.Oracle.Tokenizer", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres": {"fullname": "sqlglot.dialects.postgres", "modulename": "sqlglot.dialects.postgres", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.postgres.Postgres": {"fullname": "sqlglot.dialects.postgres.Postgres", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"fullname": "sqlglot.dialects.postgres.Postgres.Tokenizer", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres.Postgres.Parser": {"fullname": "sqlglot.dialects.postgres.Postgres.Parser", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.presto.Presto": {"fullname": "sqlglot.dialects.presto.Presto", "modulename": "sqlglot.dialects.presto", "qualname": "Presto", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.presto.Presto.Tokenizer": {"fullname": "sqlglot.dialects.presto.Presto.Tokenizer", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.presto.Presto.Parser": {"fullname": "sqlglot.dialects.presto.Presto.Parser", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.transaction_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.redshift.Redshift": {"fullname": "sqlglot.dialects.redshift.Redshift", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres"}, "sqlglot.dialects.redshift.Redshift.Parser": {"fullname": "sqlglot.dialects.redshift.Redshift.Parser", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres.Tokenizer"}, "sqlglot.dialects.redshift.Redshift.Generator": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

Converts VALUES... expression into a series of unions.

\n\n

Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be\nvery slow.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.with_properties", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.with_properties", "kind": "function", "doc": "

Redshift doesn't have WITH as part of their with_properties so we remove it

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.renametable_sql", "kind": "function", "doc": "

Redshift only supports defining the table name itself (not the db) when renaming tables

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type\nwithout precision we convert it to VARCHAR(max) and if it does have precision then we just convert\nTEXT to VARCHAR.

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake": {"fullname": "sqlglot.dialects.snowflake", "modulename": "sqlglot.dialects.snowflake", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.snowflake.Snowflake": {"fullname": "sqlglot.dialects.snowflake.Snowflake", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Parser", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.ilikeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILikeAny) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.values_sql", "kind": "function", "doc": "

Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.

\n\n

We also want to make sure that after we find matches where we need to unquote a column that we prevent users\nfrom adding quotes to the column by using the identify argument when generating the SQL.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.select_sql", "kind": "function", "doc": "

Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also\nthat all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need\nto unquote a column that we prevent users from adding quotes to the column by using the identify argument when\ngenerating the SQL.

\n\n

Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the\nexpression. This might not be true in a case where the same column name can be sourced from another table that can\nproperly quote but should be true in most cases.

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.cast_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark.Spark.Tokenizer": {"fullname": "sqlglot.dialects.spark.Spark.Tokenizer", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive.Tokenizer"}, "sqlglot.dialects.sqlite": {"fullname": "sqlglot.dialects.sqlite", "modulename": "sqlglot.dialects.sqlite", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.sqlite.SQLite": {"fullname": "sqlglot.dialects.sqlite.SQLite", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"fullname": "sqlglot.dialects.sqlite.SQLite.Tokenizer", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.sqlite.SQLite.Parser": {"fullname": "sqlglot.dialects.sqlite.SQLite.Parser", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.starrocks": {"fullname": "sqlglot.dialects.starrocks", "modulename": "sqlglot.dialects.starrocks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.starrocks.StarRocks": {"fullname": "sqlglot.dialects.starrocks.StarRocks", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.mysql.MySQL"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tableau.Tableau": {"fullname": "sqlglot.dialects.tableau.Tableau", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tableau.Tableau.Generator": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.teradata.Teradata": {"fullname": "sqlglot.dialects.teradata.Teradata", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"fullname": "sqlglot.dialects.teradata.Teradata.Tokenizer", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.teradata.Teradata.Parser": {"fullname": "sqlglot.dialects.teradata.Teradata.Parser", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PartitionedByProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.update_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.mod_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.trino.Trino": {"fullname": "sqlglot.dialects.trino.Trino", "modulename": "sqlglot.dialects.trino", "qualname": "Trino", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto"}, "sqlglot.dialects.trino.Trino.Generator": {"fullname": "sqlglot.dialects.trino.Trino.Generator", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto.Tokenizer"}, "sqlglot.dialects.tsql": {"fullname": "sqlglot.dialects.tsql", "modulename": "sqlglot.dialects.tsql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"fullname": "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "generate_date_delta_with_unit_sql", "kind": "function", "doc": "

\n", "signature": "(self, e):", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"fullname": "sqlglot.dialects.tsql.TSQL.Tokenizer", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.tsql.TSQL.Parser": {"fullname": "sqlglot.dialects.tsql.TSQL.Parser", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.systemtime_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SystemTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.returnsproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ReturnsProperty) -> str:", "funcdef": "def"}, "sqlglot.diff": {"fullname": "sqlglot.diff", "modulename": "sqlglot.diff", "kind": "module", "doc": "

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

Software is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.

\n\n

Text-based diff tools such as git diff, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

Semantically the query hasn\u2019t changed. The two arguments b and c have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.

\n\n

The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.

\n\n

The use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:

\n\n
    \n
  • Query similarity score. Identifying which parts the two queries have in common to automatically suggest opportunities for consolidation, creation of intermediate/staging tables, and so on.
  • \n
  • Differentiating between cosmetic / structural changes and functional ones. For example when a nested query is refactored into a common table expression (CTE), this kind of change doesn\u2019t have any functional impact on either a query or its outcome.
  • \n
  • Automatic suggestions about the need to retroactively backfill data. This is especially important for pipelines that populate very large tables for which restatement is a runtime-intensive procedure. The ability to discern between simple code movements and actual modifications can help assess the impact of a change and make suggestions accordingly.
  • \n
\n\n

The implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.

\n\n

The Search for a Solution

\n\n

When it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.

\n\n

If our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?

\n\n

To better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e and SELECT a - b + c, e, f. Matching individual nodes from respective syntax trees can be visualized as follows:

\n\n

\"Figure\nFigure 1: Example of node matching for two SQL expression trees.

\n\n

By looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:

\n\n
    \n
  • Inserted nodes: Sub and f. These are the nodes from the target AST which do not have a matching node in the source AST.
  • \n
  • Removed nodes: Add and d. These are the nodes from the source AST which do not have a counterpart in the target AST.
  • \n
  • Remaining nodes must be identified as unchanged.
  • \n
\n\n

It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.

\n\n

Na\u00efve Brute-Force

\n\n

The na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.

\n\n

Myers Algorithm

\n\n

After the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.

\n\n

Therefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.

\n\n

Change Distiller

\n\n

The algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].

\n\n

The algorithm consists of two high-level steps:

\n\n
    \n
  1. Finding appropriate matchings between pairs of nodes that are part of compared ASTs. Identifying what is meant by \u201cappropriate\u201d matching is also a part of this step.
  2. \n
  3. Generating the so-called \u201cedit script\u201d from the matching set built in the 1st step. The edit script is a sequence of edit operations (for example, insert, remove, update, etc.) on individual tree nodes, such that when applied as transformations on the source AST, it eventually becomes the target AST. In general, the shorter the sequence, the better. The length of the edit script can be used to compare the performance of different algorithms, though this is not the only metric that matters.
  4. \n
\n\n

The rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

We begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.

\n\n

Using the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.

\n\n

\"Figure\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.

\n\n

First, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.

\n\n

The similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:

\n\n
\n
def bigram(string):\n    count = max(0, len(string) - 1)\n    return [string[i : i + 2] for i in range(count)]\n
\n
\n\n

For reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:

\n\n
\n
from collections import defaultdict\n\ndef bigram_histo(string):\n    count = max(0, len(string) - 1)\n    bigram_histo = defaultdict(int)\n    for i in range(count):\n        bigram_histo[string[i : i + 2]] += 1\n    return bigram_histo\n
\n
\n\n

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

Where X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:

\n\n
\n
def dice_coefficient(source, target):\n    source_histo = bigram_histo(source.sql())\n    target_histo = bigram_histo(target.sql())\n\n    total_grams = (\n        sum(source_histo.values()) + sum(target_histo.values())\n    )\n    if not total_grams:\n        return 1.0 if source == target else 0.0\n\n    overlap_len = 0\n    overlapping_grams = set(source_histo) & set(target_histo)\n    for g in overlapping_grams:\n        overlap_len += min(source_histo[g], target_histo[g])\n\n    return 2 * overlap_len / total_grams\n
\n
\n\n

To compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123) node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d) node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.

\n\n

Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

\n\n
    \n
  1. The node labels match (in our case labels are just node types).
  2. \n
  3. The similarity score for node values is greater than or equal to some threshold \u201cf\u201d. The authors of the paper recommend setting the value of \u201cf\u201d to 0.6.
  4. \n
\n\n

With building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:

\n\n
\n
from heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n    for target_leaf in target_leaves:\n        if _is_same_type(source_leaf, target_leaf):\n            similarity_score = dice_coefficient(\n                source_leaf, target_leaf\n            )\n            if similarity_score >= 0.6:\n                heappush(\n                    candidate_matchings,\n                    (\n                        -similarity_score,\n                        len(candidate_matchings),\n                        source_leaf,\n                        target_leaf,\n                    ),\n                )\n
\n
\n\n

In the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.

\n\n

Finally, we build the initial matching set by picking leaf pairs with the highest score:

\n\n
\n
matching_set = set()\nwhile candidate_matchings:\n    _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n    if (\n        source_leaf in unmatched_source_nodes\n        and target_leaf in unmatched_target_nodes\n    ):\n        matching_set.add((source_leaf, target_leaf))\n        unmatched_source_nodes.remove(source_leaf)\n        unmatched_target_nodes.remove(target_leaf)\n
\n
\n\n

To finalize the matching set, we should now proceed with matching inner nodes.

\n\n

Matching Inner Nodes

\n\n

Matching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:

\n\n
    \n
  • Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
  • \n
  • The matching criteria itself has been extended to account for the number of leaf nodes the pair of inner nodes have in common.
  • \n
\n\n

\"Figure\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.

\n\n

Let\u2019s start with the matching criteria. The criteria is formalized as follows:

\n\n

\"Matching

\n\n

Alongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.

\n\n

There are two additional heuristics associated with this matching criteria:

\n\n
    \n
  • Inner node similarity weighting: if the similarity score between the node values doesn\u2019t pass the threshold \u201cf\u201d but the ratio of common leaf nodes (\u201ct\u201d) is greater than or equal to 0.8, then the matching is considered successful.
  • \n
  • The threshold \u201ct\u201d is reduced to 0.4 for inner nodes with the number of leaf nodes equal to 4 or less, in order to decrease the false negative rate for small subtrees.
  • \n
\n\n

We now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:

\n\n
\n
leaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n    for target_node in unmatched_target_nodes:\n        if _is_same_type(source_node, target_node):\n            source_leaves = set(_get_leaves(source_node))\n            target_leaves = set(_get_leaves(target_node))\n\n            max_leaves_num = max(len(source_leaves), len(target_leaves))\n            if max_leaves_num:\n                common_leaves_num = sum(\n                    1 if s in source_leaves and t in target_leaves else 0\n                    for s, t in leaves_matching_set\n                )\n                leaf_similarity_score = common_leaves_num / max_leaves_num\n            else:\n                leaf_similarity_score = 0.0\n\n            adjusted_t = (\n                0.6\n                if min(len(source_leaves), len(target_leaves)) > 4\n                else 0.4\n            )\n\n            if leaf_similarity_score >= 0.8 or (\n                leaf_similarity_score >= adjusted_t\n                and dice_coefficient(source_node, target_node) >= 0.6\n            ):\n                matching_set.add((source_node, target_node))\n                unmatched_source_nodes.remove(source_node)\n                unmatched_target_nodes.remove(target_node)\n                break\n
\n
\n\n

After the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.

\n\n

Generating the Edit Script

\n\n

At this point, we should have the following 3 sets at our disposal:

\n\n
    \n
  • The set of matched node pairs.
  • \n
  • The set of remaining unmatched nodes from the source tree.
  • \n
  • The set of remaining unmatched nodes from the target tree.
  • \n
\n\n

We can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).

\n\n

The latter two cases are pretty straightforward to implement:

\n\n
\n
edit_script = []\n\nfor removed_node in unmatched_source_nodes:\n    edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n    edit_script.append(Insert(inserted_node))\n
\n
\n\n

Traversing the matching set requires a little more thought:

\n\n
\n
for source_node, target_node in matching_set:\n    if (\n        not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n        or source_node == target_node\n    ):\n        move_edits = generate_move_edits(\n            source_node, target_node, matching_set\n        )\n        edit_script.extend(move_edits)\n        edit_script.append(Keep(source_node, target_node))\n    else:\n        edit_script.append(Update(source_node, target_node))\n
\n
\n\n

If a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.

\n\n

Now with this knowledge, the implementation becomes straightforward:

\n\n
\n
def generate_move_edits(source, target, matching_set):\n    source_children = _get_child_nodes(source)\n    target_children = _get_child_nodes(target)\n\n    lcs = set(\n        _longest_common_subsequence(\n            source_children,\n            target_children,\n            lambda l, r: (l, r) in matching_set\n        )\n    )\n\n    move_edits = []\n    for node in source_children:\n        if node not in lcs and node not in unmatched_source_nodes:\n            move_edits.append(Move(node))\n\n    return move_edits\n
\n
\n\n

I left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

\n\n
\n
>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\n
\n\n

Note that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.

\n\n

The implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:

\n\n
\n
>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\n
\n\n

Optimizations

\n\n

The worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.

\n\n

There are still a few basic things we can do in our implementation to help improve performance:

\n\n
    \n
  • Refer to individual node objects using their identifiers (Python\u2019s id()) instead of direct references in sets. This helps avoid costly recursive hash calculations and equality checks.
  • \n
  • Cache bigram histograms to avoid computing them more than once for the same node.
  • \n
  • Compute the canonical SQL string representation for each tree once while caching string representations of all inner nodes. This prevents redundant tree traversals when bigrams are computed.
  • \n
\n\n

At the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.

\n\n

Alternative Solutions

\n\n

This section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.

\n\n

First, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.

\n\n

Another notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.

\n\n

Conclusion

\n\n

The Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.

\n\n

Additionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.

\n\n

I\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.

\n\n

References

\n\n

[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)

\n\n

[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.

\n\n

[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996

\n\n

[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552

\n\n
\n"}, "sqlglot.diff.Insert": {"fullname": "sqlglot.diff.Insert", "modulename": "sqlglot.diff", "qualname": "Insert", "kind": "class", "doc": "

Indicates that a new node has been inserted

\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "

Indicates that an existing node has been removed

\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "

Indicates that an existing node's position within the tree has changed

\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "

Indicates that an existing node has been updated

\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "

Indicates that an existing node hasn't been changed

\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "

Returns the list of changes between the source and the target expressions.

\n\n
Examples:
\n\n
\n
\n
>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n    Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n    Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n    Keep(\n        source=(ADD this: ...),\n        target=(ADD this: ...)\n    ),\n    Keep(\n        source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n        target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n    ),\n]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • source: the source expression.
  • \n
  • target: the target expression against which the diff should be calculated.
  • \n
  • matchings: the list of pre-matched node pairs which is used to help the algorithm's\nheuristics produce better results for subtrees that are known by a caller to be matching.\nNote: expression references in this list must refer to the same node objects that are\nreferenced in source / target trees.
  • \n
\n\n
Returns:
\n\n
\n

the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.

\n
\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "

The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.

\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "

\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "

\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "

Ignore all errors.

\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "

Log all errors.

\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "

Collect all errors and raise a single exception.

\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "

Immediately raise an exception on the first error found.

\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "

\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.

\n\n

This post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:

\n\n\n\n

Why?

\n\n

I started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.

\n\n

Why did I do this? Isn't a Python SQL engine going to be extremely slow?

\n\n

The main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.

\n\n

In terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.

\n\n

Finally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.

\n\n

Parts of SQLGlot's toolkit are being used today by the following:

\n\n
    \n
  • Ibis: A Python library that provides a lightweight, universal interface for data wrangling.\n
      \n
    • Uses the Python SQL expression builder and leverages the optimizer/planner to convert SQL into dataframe operations.
    • \n
  • \n
  • mysql-mimic: Pure-Python implementation of the MySQL server wire protocol\n
      \n
    • Parses / transforms SQL and executes INFORMATION_SCHEMA queries.
    • \n
  • \n
  • Quokka: Push-based vectorized query engine\n
      \n
    • Parse and optimizes SQL.
    • \n
  • \n
  • Splink: Fast, accurate and scalable probabilistic data linkage using your choice of SQL backend.\n
      \n
    • Transpiles queries.
    • \n
  • \n
\n\n

How?

\n\n

There are many steps involved with actually running a simple query like:

\n\n
\n
SELECT\n  bar.a,\n  b + 1 AS b\nFROM bar\nJOIN baz\n  ON bar.a = baz.a\nWHERE bar.a > 1\n
\n
\n\n

In this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.

\n\n

Tokenizing

\n\n

The first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.

\n\n

Running the SQLGlot tokenizer shows the output.

\n\n

\"Tokenizer

\n\n

Each keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.

\n\n

Parsing

\n\n

Once a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.

\n\n

Similar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.

\n\n

\"Parser

\n\n

The AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.

\n\n

Optimizing

\n\n

Once we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:

\n\n
    \n
  1. It's easier to debug and validate the optimizations when the input and output are both SQL.

  2. \n
  3. Rules can be applied a la carte to transform SQL into a more desirable form.

  4. \n
  5. I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1 and SELECT 2).

  6. \n
\n\n

I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.

\n\n

\"Optimizer

\n\n

The optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.

\n\n

Some example rules are:

\n\n

qualify_tables and qualify_columns

\n\n
    \n
  • Adds all db/catalog qualifiers to tables and forces an alias.
  • \n
  • Ensure each column is unambiguous and expand stars.
  • \n
\n\n
\n
SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\n
\n\n

simplify

\n\n

Boolean and math simplification. Check out all the test cases.

\n\n
\n
((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\n
\n\n

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

\n\n
\n
-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\n
\n\n

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

\n\n
\n
-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE TRUE\n  GROUP BY y.a\n) AS "_u_0"\n  ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\n
\n\n

pushdown_predicates

\n\n

Push down filters into the innermost query.

\n\n
\n
SELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n  WHERE y.a = 1\n) AS y WHERE TRUE\n
\n
\n\n

annotate_types

\n\n

Infer all types throughout the AST given schema information and function type definitions.

\n\n

Planning

\n\n

After the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:

\n\n

Scan

\n\n

Selects columns from a table, applies projections, and finally filters the table.

\n\n

Sort

\n\n

Sorts a table for order by expressions.

\n\n

Set

\n\n

Applies the operators union/union all/except/intersect.

\n\n

Aggregate

\n\n

Applies an aggregation/group by.

\n\n

Join

\n\n

Joins multiple tables together.

\n\n

\"Planner

\n\n

The logical plan is quite simple and contains the information required to convert it into a physical plan (execution).

\n\n

Executing

\n\n

Finally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.

\n\n

In order to keep things simple, it evaluates expressions with eval. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1 can just be converted into scope['x'] + 1.

\n\n

\"Executor

\n\n

What's next

\n\n

SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.

\n\n

I'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.

\n\n

Special thanks

\n\n

SQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.

\n\n

Get in touch

\n\n

If you'd like to chat more about SQLGlot, please join my Slack Channel!

\n\n
\n"}, "sqlglot.executor.execute": {"fullname": "sqlglot.executor.execute", "modulename": "sqlglot.executor", "qualname": "execute", "kind": "function", "doc": "

Run a sql query against data.

\n\n
Arguments:
\n\n
    \n
  • sql: a sql statement.
  • \n
  • schema: database schema.\nThis can either be an instance of Schema or a mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
    2. \n
    3. {db: {table: {col: type}}}
    4. \n
    5. {catalog: {db: {table: {col: type}}}}
    6. \n
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • tables: additional tables to register.
  • \n
\n\n
Returns:
\n\n
\n

Simple columnar data structure.

\n
\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "

\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "

Execution context for sql expressions.

\n\n

Context is used to hold relevant data tables which can then be queried on with eval.

\n\n

References to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.

\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "

Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.

\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "

\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "

\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "

\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "

\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "

\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "

\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "

\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "

\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "

\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "

\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "

Decorator that makes a function return None if any of the required arguments are None.

\n\n

This also supports decoration with no arguments, e.g.:

\n\n
@null_if_any\ndef foo(a, b): ...\n
\n\n

In which case all arguments are required.

\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "

\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "

\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "

\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "

\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "

\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "

\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "

\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "

Convert a SQL expression into literal Python code and compile it into bytecode.

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "

Convert an array of SQL expressions into tuple of Python byte code.

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "

\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "

\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "

\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

\n"}, "sqlglot.executor.table.Table": {"fullname": "sqlglot.executor.table.Table", "modulename": "sqlglot.executor.table", "qualname": "Table", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.Table.__init__": {"fullname": "sqlglot.executor.table.Table.__init__", "modulename": "sqlglot.executor.table", "qualname": "Table.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, rows=None, column_range=None)"}, "sqlglot.executor.table.Table.add_columns": {"fullname": "sqlglot.executor.table.Table.add_columns", "modulename": "sqlglot.executor.table", "qualname": "Table.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.table.Table.append": {"fullname": "sqlglot.executor.table.Table.append", "modulename": "sqlglot.executor.table", "qualname": "Table.append", "kind": "function", "doc": "

\n", "signature": "(self, row):", "funcdef": "def"}, "sqlglot.executor.table.Table.pop": {"fullname": "sqlglot.executor.table.Table.pop", "modulename": "sqlglot.executor.table", "qualname": "Table.pop", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.table.TableIter": {"fullname": "sqlglot.executor.table.TableIter", "modulename": "sqlglot.executor.table", "qualname": "TableIter", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.TableIter.__init__": {"fullname": "sqlglot.executor.table.TableIter.__init__", "modulename": "sqlglot.executor.table", "qualname": "TableIter.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RangeReader": {"fullname": "sqlglot.executor.table.RangeReader", "modulename": "sqlglot.executor.table", "qualname": "RangeReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RangeReader.__init__": {"fullname": "sqlglot.executor.table.RangeReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RangeReader.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RowReader": {"fullname": "sqlglot.executor.table.RowReader", "modulename": "sqlglot.executor.table", "qualname": "RowReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RowReader.__init__": {"fullname": "sqlglot.executor.table.RowReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RowReader.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, column_range=None)"}, "sqlglot.executor.table.Tables": {"fullname": "sqlglot.executor.table.Tables", "modulename": "sqlglot.executor.table", "qualname": "Tables", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "

\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "

Expressions

\n\n

Every AST node in SQLGlot is represented by a subclass of Expression.

\n\n

This module contains the implementation of all supported Expression types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select.

\n\n
\n"}, "sqlglot.expressions.Expression": {"fullname": "sqlglot.expressions.Expression", "modulename": "sqlglot.expressions", "qualname": "Expression", "kind": "class", "doc": "

The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
  • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
  • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
  • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
  • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
  • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
  • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
  • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

\n", "signature": "(**args: Any)"}, "sqlglot.expressions.Expression.this": {"fullname": "sqlglot.expressions.Expression.this", "modulename": "sqlglot.expressions", "qualname": "Expression.this", "kind": "variable", "doc": "

Retrieves the argument with key \"this\".

\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "

Retrieves the argument with key \"expression\".

\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "

Retrieves the argument with key \"expressions\".

\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "

Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.

\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "

Checks whether a Literal expression is a string.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "

Checks whether a Literal expression is a number.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "

Checks whether a Literal expression is an integer.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "

Returns the alias of the expression, or an empty string if it's not aliased.

\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "

Returns a deep copy of the expression.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "

Appends value to arg_key if it's a list or sets it as a new list.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
  • \n
  • value (Any): value to append to the list
  • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
  • \n
  • value: value to set the arg to.
  • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

\n"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

Returns the first node in this tree which matches at least one of\nthe specified types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The node which matches the criteria or None if no such node was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The parent node.

\n
\n", "signature": "(self, *expression_types):", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree.

\n\n
Arguments:
\n\n
    \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
  • \n
  • prune ((node, parent, arg_key) -> bool): callable that returns True if\nthe generator should stop traversing this branch of the tree.
  • \n
\n\n
Returns:
\n\n
\n

the generator object.

\n
\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "

Returns the first non parenthesis child or self.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "

Returns the inner expression if this is an Alias.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "

Returns unnested operands as a tuple.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "

Returns a generator which yields child nodes who's parents are the same class.

\n\n

A AND B AND C -> [A, B, C]

\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "

Returns SQL string representation of this tree.

\n\n
Arguments:
\n\n
    \n
  • dialect: the dialect of the output SQL string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • opts: other sqlglot.generator.Generator options.
  • \n
\n\n
Returns:
\n\n
\n

The SQL string.

\n
\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "

Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.

\n\n
Arguments:
\n\n
    \n
  • fun (function): a function which takes a node as an argument and returns a\nnew transformed node or the same node without modifications. If the function\nreturns None, then the corresponding node will be removed from the syntax tree.
  • \n
  • copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.
  • \n
\n\n
Returns:
\n\n
\n

The transformed tree.

\n
\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression (Expression|None): new node
  • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

\n
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "

Remove this expression from its AST.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "

Assert that this Expression is an instance of type_.

\n\n

If it is NOT an instance of type_, this raises an assertion error.\nOtherwise, this returns this expression.

\n\n
Examples:
\n\n
\n

This is useful for type security in chained expressions:

\n \n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
\n
\n
\n", "signature": "(self, type_):", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "

Checks if this expression is valid (e.g. all mandatory args are set).

\n\n
Arguments:
\n\n
    \n
  • args: a sequence of values that were used to instantiate a Func expression. This is used\nto check that the provided arguments don't exceed the function argument limit.
  • \n
\n\n
Returns:
\n\n
\n

A list of error messages for all possible errors that were found.

\n
\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "

Dump this Expression to a JSON-serializable dict.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "

Load a dict (as returned by Expression.dump) into an Expression instance.

\n", "signature": "(cls, obj):", "funcdef": "def"}, "sqlglot.expressions.Condition": {"fullname": "sqlglot.expressions.Condition", "modulename": "sqlglot.expressions", "qualname": "Condition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Condition.and_": {"fullname": "sqlglot.expressions.Condition.and_", "modulename": "sqlglot.expressions", "qualname": "Condition.and_", "kind": "function", "doc": "

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

And: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Or: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Returns:
\n\n
\n

Not: the new condition.

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

Relationships like x = y, x > 1, x >= y.

\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "

Builds a UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the Union expression.

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "

Builds an INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Intersect: the Intersect expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "

Builds an EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Except: the Except expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "

\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AfterJournalProperty": {"fullname": "sqlglot.expressions.AfterJournalProperty", "modulename": "sqlglot.expressions", "qualname": "AfterJournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TableFormatProperty": {"fullname": "sqlglot.expressions.TableFormatProperty", "modulename": "sqlglot.expressions", "qualname": "TableFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.VolatilityProperty": {"fullname": "sqlglot.expressions.VolatilityProperty", "modulename": "sqlglot.expressions", "qualname": "VolatilityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Expression): the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • as_ (str | Expression): the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • recursive (bool): set the RECURSIVE part of the expression. Defaults to False.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\talias,\tas_,\trecursive=None,\tappend=True,\tdialect=None,\tcopy=True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: The limited subqueryable.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect: the dialect used to parse the input expressions.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
  • opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: str | sqlglot.expressions.Expression,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the From expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql()\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect: the dialect used to parse the input expressions.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
  • opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: str | sqlglot.expressions.Expression,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • on (str | Expression): optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • using (str | Expression): optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • join_type (str): If set, alter the parsed join type
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\ton=None,\tusing=None,\tappend=True,\tjoin_type=None,\tjoin_alias=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • distinct (bool): whether the Select should be distinct
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(self, distinct=True, copy=True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
  • \n
  • properties (dict): an optional mapping of table properties
  • \n
  • dialect (str): the dialect used to parse the input table.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input table.
  • \n
\n\n
Returns:
\n\n
\n

Create: the CREATE TABLE AS expression

\n
\n", "signature": "(\tself,\ttable,\tproperties=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.StructKwarg": {"fullname": "sqlglot.expressions.StructKwarg", "modulename": "sqlglot.expressions", "qualname": "StructKwarg", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary, Condition"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
  • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
  • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Matches": {"fullname": "sqlglot.expressions.Matches", "modulename": "sqlglot.expressions", "qualname": "Matches", "kind": "class", "doc": "

Oracle/Snowflake decode.\nhttps://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm\nPattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantiles": {"fullname": "sqlglot.expressions.Quantiles", "modulename": "sqlglot.expressions", "qualname": "Quantiles", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.QuantileIf": {"fullname": "sqlglot.expressions.QuantileIf", "modulename": "sqlglot.expressions", "qualname": "QuantileIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "

\n", "bases": "Quantile"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
  • \n
  • into: the SQLGlot Expression to parse into
  • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
  • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
  • \n
  • copy: whether or not to copy the expression.
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: str | sqlglot.expressions.Expression,\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the syntax tree for the UNION expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Intersect: the syntax tree for the INTERSECT expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Except: the syntax tree for the EXCEPT statement.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
  • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: str | sqlglot.expressions.Expression,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties (Dict[str, Any]): dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
  • \n
  • where (str): sql conditional parsed into a WHERE statement
  • \n
  • from_ (str): sql statement parsed into a FROM statement
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable,\tproperties,\twhere=None,\tfrom_=None,\tdialect=None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where (str|Condition): sql conditional parsed into a WHERE statement
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(table, where=None, dialect=None, **opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Condition: the expression

\n
\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.And:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Or:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Not: the new condition

\n
\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

\n", "signature": "(expression) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
  • \n
  • quoted: Whether or not force quote the identifier.
  • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
  • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
  • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
  • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
  • \n
  • quoted: whether or not to quote the alias
  • \n
  • dialect: the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • alias (str | Expression): the alias name to use.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: a new select with the subquery expression included

\n
\n", "signature": "(expression, alias=None, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: column name
  • \n
  • table: table name
  • \n
  • schema: schema name
  • \n
  • quoted: whether or not to force quote each part
  • \n
\n\n
Returns:
\n\n
\n

Column: column instance

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tschema: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
  • \n
  • to: The datatype to cast to.
  • \n
\n\n
Returns:
\n\n
\n

A cast node.

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): column name
  • \n
  • db (str | Expression): db name
  • \n
  • catalog (str | Expression): catalog name
  • \n
\n\n
Returns:
\n\n
\n

Table: table instance

\n
\n", "signature": "(\ttable,\tdb=None,\tcatalog=None,\tquoted=None,\talias=None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
  • \n
  • alias: optional alias
  • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.\nIf a dictionary is provided then the first column of the values will be casted to the expected type\nin order to help with type inference.
  • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
  • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
  • \n
  • new_name: The new name of the table
  • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value (Any): a python object
  • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object

\n
\n", "signature": "(value) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(expression, fun):", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to find table names
  • \n
\n\n
Returns:
\n\n
\n

list: A list of unique names

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table (exp.Table | str): table expression node or string.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
  • \n
  • mapping (Dict[str, str]): mapping of table names.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, mapping):", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
  • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
  • \n
  • kwargs: keyword arguments that will substitute named placeholders.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo"\n... ).sql()\n'SELECT * FROM foo WHERE a = b'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
  • \n
  • sources: A dictionary of name to Subqueryables.
  • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy=True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
  • \n
  • args: the args used to instantiate the function of interest.
  • \n
  • dialect: the source dialect.
  • \n
  • kwargs: the kwargs used to instantiate the function of interest.
  • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttime_mapping=None,\ttime_trie=None,\tpretty=None,\tquote_start=None,\tquote_end=None,\tidentifier_start=None,\tidentifier_end=None,\tidentify=False,\tnormalize=False,\tstring_escape=None,\tidentifier_escape=None,\tpad=2,\tindent=2,\tindex_offset=0,\tunnest_column_only=False,\talias_post_tablesample=False,\tnormalize_functions='upper',\tunsupported_level=<ErrorLevel.WARN: 'WARN'>,\tnull_ordering=None,\tmax_unsupported=3,\tleading_comma=False,\tmax_text_width=80,\tcomments=True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates a SQL string by interpreting the given syntax tree.

\n\n

Args\n expression: the syntax tree.

\n\n

Returns\n the SQL string.

\n", "signature": "(self, expression: Optional[sqlglot.expressions.Expression]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fetch_sql": {"fullname": "sqlglot.generator.Generator.fetch_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fetch_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Fetch) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.filter_sql": {"fullname": "sqlglot.generator.Generator.filter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.filter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Filter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hint_sql": {"fullname": "sqlglot.generator.Generator.hint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Hint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.index_sql": {"fullname": "sqlglot.generator.Generator.index_sql", "modulename": "sqlglot.generator", "qualname": "Generator.index_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Index) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.identifier_sql": {"fullname": "sqlglot.generator.Generator.identifier_sql", "modulename": "sqlglot.generator", "qualname": "Generator.identifier_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Identifier) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.national_sql": {"fullname": "sqlglot.generator.Generator.national_sql", "modulename": "sqlglot.generator", "qualname": "Generator.national_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.National) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_sql": {"fullname": "sqlglot.generator.Generator.partition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Partition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties_sql": {"fullname": "sqlglot.generator.Generator.properties_sql", "modulename": "sqlglot.generator", "qualname": "Generator.properties_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.root_properties": {"fullname": "sqlglot.generator.Generator.root_properties", "modulename": "sqlglot.generator", "qualname": "Generator.root_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties": {"fullname": "sqlglot.generator.Generator.properties", "modulename": "sqlglot.generator", "qualname": "Generator.properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties,\tprefix: str = '',\tsep: str = ', ',\tsuffix: str = '',\twrapped: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_properties": {"fullname": "sqlglot.generator.Generator.with_properties", "modulename": "sqlglot.generator", "qualname": "Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.locate_properties": {"fullname": "sqlglot.generator.Generator.locate_properties", "modulename": "sqlglot.generator", "qualname": "Generator.locate_properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties) -> Dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]:", "funcdef": "def"}, "sqlglot.generator.Generator.property_sql": {"fullname": "sqlglot.generator.Generator.property_sql", "modulename": "sqlglot.generator", "qualname": "Generator.property_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeproperty_sql": {"fullname": "sqlglot.generator.Generator.likeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fallbackproperty_sql": {"fullname": "sqlglot.generator.Generator.fallbackproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fallbackproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FallbackProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.journalproperty_sql": {"fullname": "sqlglot.generator.Generator.journalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.journalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.freespaceproperty_sql": {"fullname": "sqlglot.generator.Generator.freespaceproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.freespaceproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FreespaceProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"fullname": "sqlglot.generator.Generator.afterjournalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.afterjournalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AfterJournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.checksumproperty_sql": {"fullname": "sqlglot.generator.Generator.checksumproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.checksumproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ChecksumProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"fullname": "sqlglot.generator.Generator.mergeblockratioproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergeblockratioproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeBlockRatioProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"fullname": "sqlglot.generator.Generator.datablocksizeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datablocksizeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataBlocksizeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"fullname": "sqlglot.generator.Generator.blockcompressionproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.blockcompressionproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BlockCompressionProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"fullname": "sqlglot.generator.Generator.isolatedloadingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.isolatedloadingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IsolatedLoadingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lockingproperty_sql": {"fullname": "sqlglot.generator.Generator.lockingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lockingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LockingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withdataproperty_sql": {"fullname": "sqlglot.generator.Generator.withdataproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withdataproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithDataProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.insert_sql": {"fullname": "sqlglot.generator.Generator.insert_sql", "modulename": "sqlglot.generator", "qualname": "Generator.insert_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Insert) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_sql": {"fullname": "sqlglot.generator.Generator.intersect_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_op": {"fullname": "sqlglot.generator.Generator.intersect_op", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.introducer_sql": {"fullname": "sqlglot.generator.Generator.introducer_sql", "modulename": "sqlglot.generator", "qualname": "Generator.introducer_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Introducer) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pseudotype_sql": {"fullname": "sqlglot.generator.Generator.pseudotype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pseudotype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PseudoType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"fullname": "sqlglot.generator.Generator.rowformatdelimitedproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rowformatdelimitedproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RowFormatDelimitedProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.table_sql": {"fullname": "sqlglot.generator.Generator.table_sql", "modulename": "sqlglot.generator", "qualname": "Generator.table_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Table, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablesample_sql": {"fullname": "sqlglot.generator.Generator.tablesample_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pivot_sql": {"fullname": "sqlglot.generator.Generator.pivot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pivot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tuple_sql": {"fullname": "sqlglot.generator.Generator.tuple_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tuple_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tuple) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.update_sql": {"fullname": "sqlglot.generator.Generator.update_sql", "modulename": "sqlglot.generator", "qualname": "Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.values_sql": {"fullname": "sqlglot.generator.Generator.values_sql", "modulename": "sqlglot.generator", "qualname": "Generator.values_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.var_sql": {"fullname": "sqlglot.generator.Generator.var_sql", "modulename": "sqlglot.generator", "qualname": "Generator.var_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Var) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.into_sql": {"fullname": "sqlglot.generator.Generator.into_sql", "modulename": "sqlglot.generator", "qualname": "Generator.into_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Into) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.from_sql": {"fullname": "sqlglot.generator.Generator.from_sql", "modulename": "sqlglot.generator", "qualname": "Generator.from_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.From) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.group_sql": {"fullname": "sqlglot.generator.Generator.group_sql", "modulename": "sqlglot.generator", "qualname": "Generator.group_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Group) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.having_sql": {"fullname": "sqlglot.generator.Generator.having_sql", "modulename": "sqlglot.generator", "qualname": "Generator.having_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Having) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.join_sql": {"fullname": "sqlglot.generator.Generator.join_sql", "modulename": "sqlglot.generator", "qualname": "Generator.join_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Join) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lambda_sql": {"fullname": "sqlglot.generator.Generator.lambda_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lambda_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Lambda,\tarrow_sep: str = '->') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lateral_sql": {"fullname": "sqlglot.generator.Generator.lateral_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lateral_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lateral) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.limit_sql": {"fullname": "sqlglot.generator.Generator.limit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.limit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Limit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.offset_sql": {"fullname": "sqlglot.generator.Generator.offset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lock_sql": {"fullname": "sqlglot.generator.Generator.lock_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lock_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lock) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.literal_sql": {"fullname": "sqlglot.generator.Generator.literal_sql", "modulename": "sqlglot.generator", "qualname": "Generator.literal_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Literal) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.loaddata_sql": {"fullname": "sqlglot.generator.Generator.loaddata_sql", "modulename": "sqlglot.generator", "qualname": "Generator.loaddata_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LoadData) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.null_sql": {"fullname": "sqlglot.generator.Generator.null_sql", "modulename": "sqlglot.generator", "qualname": "Generator.null_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.boolean_sql": {"fullname": "sqlglot.generator.Generator.boolean_sql", "modulename": "sqlglot.generator", "qualname": "Generator.boolean_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Boolean) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.order_sql": {"fullname": "sqlglot.generator.Generator.order_sql", "modulename": "sqlglot.generator", "qualname": "Generator.order_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Order, flat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cluster_sql": {"fullname": "sqlglot.generator.Generator.cluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cluster) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distribute_sql": {"fullname": "sqlglot.generator.Generator.distribute_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distribute_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distribute) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sort_sql": {"fullname": "sqlglot.generator.Generator.sort_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sort_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sort) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ordered_sql": {"fullname": "sqlglot.generator.Generator.ordered_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ordered_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Ordered) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchrecognize_sql": {"fullname": "sqlglot.generator.Generator.matchrecognize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchrecognize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.query_modifiers": {"fullname": "sqlglot.generator.Generator.query_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.select_sql": {"fullname": "sqlglot.generator.Generator.select_sql", "modulename": "sqlglot.generator", "qualname": "Generator.select_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.schema_sql": {"fullname": "sqlglot.generator.Generator.schema_sql", "modulename": "sqlglot.generator", "qualname": "Generator.schema_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Schema) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.star_sql": {"fullname": "sqlglot.generator.Generator.star_sql", "modulename": "sqlglot.generator", "qualname": "Generator.star_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Star) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.structkwarg_sql": {"fullname": "sqlglot.generator.Generator.structkwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.structkwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.StructKwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.parameter_sql": {"fullname": "sqlglot.generator.Generator.parameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.parameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Parameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sessionparameter_sql": {"fullname": "sqlglot.generator.Generator.sessionparameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sessionparameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SessionParameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.placeholder_sql": {"fullname": "sqlglot.generator.Generator.placeholder_sql", "modulename": "sqlglot.generator", "qualname": "Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.subquery_sql": {"fullname": "sqlglot.generator.Generator.subquery_sql", "modulename": "sqlglot.generator", "qualname": "Generator.subquery_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Subquery) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.qualify_sql": {"fullname": "sqlglot.generator.Generator.qualify_sql", "modulename": "sqlglot.generator", "qualname": "Generator.qualify_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Qualify) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_sql": {"fullname": "sqlglot.generator.Generator.union_sql", "modulename": "sqlglot.generator", "qualname": "Generator.union_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_op": {"fullname": "sqlglot.generator.Generator.union_op", "modulename": "sqlglot.generator", "qualname": "Generator.union_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unnest_sql": {"fullname": "sqlglot.generator.Generator.unnest_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unnest_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.where_sql": {"fullname": "sqlglot.generator.Generator.where_sql", "modulename": "sqlglot.generator", "qualname": "Generator.where_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Where) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_sql": {"fullname": "sqlglot.generator.Generator.window_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Window) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_by_sql": {"fullname": "sqlglot.generator.Generator.partition_by_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_by_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Window | sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_spec_sql": {"fullname": "sqlglot.generator.Generator.window_spec_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_spec_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WindowSpec) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withingroup_sql": {"fullname": "sqlglot.generator.Generator.withingroup_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withingroup_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithinGroup) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.between_sql": {"fullname": "sqlglot.generator.Generator.between_sql", "modulename": "sqlglot.generator", "qualname": "Generator.between_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Between) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bracket_sql": {"fullname": "sqlglot.generator.Generator.bracket_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bracket_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Bracket) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.all_sql": {"fullname": "sqlglot.generator.Generator.all_sql", "modulename": "sqlglot.generator", "qualname": "Generator.all_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.All) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.any_sql": {"fullname": "sqlglot.generator.Generator.any_sql", "modulename": "sqlglot.generator", "qualname": "Generator.any_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Any) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.exists_sql": {"fullname": "sqlglot.generator.Generator.exists_sql", "modulename": "sqlglot.generator", "qualname": "Generator.exists_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Exists) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.case_sql": {"fullname": "sqlglot.generator.Generator.case_sql", "modulename": "sqlglot.generator", "qualname": "Generator.case_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Case) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.constraint_sql": {"fullname": "sqlglot.generator.Generator.constraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.constraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Constraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.extract_sql": {"fullname": "sqlglot.generator.Generator.extract_sql", "modulename": "sqlglot.generator", "qualname": "Generator.extract_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Extract) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trim_sql": {"fullname": "sqlglot.generator.Generator.trim_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trim_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.concat_sql": {"fullname": "sqlglot.generator.Generator.concat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.concat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Concat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.check_sql": {"fullname": "sqlglot.generator.Generator.check_sql", "modulename": "sqlglot.generator", "qualname": "Generator.check_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Check) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.foreignkey_sql": {"fullname": "sqlglot.generator.Generator.foreignkey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.foreignkey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykey_sql": {"fullname": "sqlglot.generator.Generator.primarykey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unique_sql": {"fullname": "sqlglot.generator.Generator.unique_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unique_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unique) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.if_sql": {"fullname": "sqlglot.generator.Generator.if_sql", "modulename": "sqlglot.generator", "qualname": "Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_sql": {"fullname": "sqlglot.generator.Generator.in_sql", "modulename": "sqlglot.generator", "qualname": "Generator.in_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.In) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_unnest_op": {"fullname": "sqlglot.generator.Generator.in_unnest_op", "modulename": "sqlglot.generator", "qualname": "Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, unnest: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.interval_sql": {"fullname": "sqlglot.generator.Generator.interval_sql", "modulename": "sqlglot.generator", "qualname": "Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.return_sql": {"fullname": "sqlglot.generator.Generator.return_sql", "modulename": "sqlglot.generator", "qualname": "Generator.return_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Return) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.reference_sql": {"fullname": "sqlglot.generator.Generator.reference_sql", "modulename": "sqlglot.generator", "qualname": "Generator.reference_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Reference) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.anonymous_sql": {"fullname": "sqlglot.generator.Generator.anonymous_sql", "modulename": "sqlglot.generator", "qualname": "Generator.anonymous_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.paren_sql": {"fullname": "sqlglot.generator.Generator.paren_sql", "modulename": "sqlglot.generator", "qualname": "Generator.paren_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Paren) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neg_sql": {"fullname": "sqlglot.generator.Generator.neg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Neg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.not_sql": {"fullname": "sqlglot.generator.Generator.not_sql", "modulename": "sqlglot.generator", "qualname": "Generator.not_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Not) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.alias_sql": {"fullname": "sqlglot.generator.Generator.alias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.alias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Alias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.aliases_sql": {"fullname": "sqlglot.generator.Generator.aliases_sql", "modulename": "sqlglot.generator", "qualname": "Generator.aliases_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Aliases) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.attimezone_sql": {"fullname": "sqlglot.generator.Generator.attimezone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.attimezone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AtTimeZone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.add_sql": {"fullname": "sqlglot.generator.Generator.add_sql", "modulename": "sqlglot.generator", "qualname": "Generator.add_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Add) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.and_sql": {"fullname": "sqlglot.generator.Generator.and_sql", "modulename": "sqlglot.generator", "qualname": "Generator.and_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.And) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.connector_sql": {"fullname": "sqlglot.generator.Generator.connector_sql", "modulename": "sqlglot.generator", "qualname": "Generator.connector_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Connector, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseand_sql": {"fullname": "sqlglot.generator.Generator.bitwiseand_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseand_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseAnd) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiseleftshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseleftshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseLeftShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisenot_sql": {"fullname": "sqlglot.generator.Generator.bitwisenot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisenot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseNot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseor_sql": {"fullname": "sqlglot.generator.Generator.bitwiseor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseOr) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiserightshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiserightshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseRightShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisexor_sql": {"fullname": "sqlglot.generator.Generator.bitwisexor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisexor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseXor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cast_sql": {"fullname": "sqlglot.generator.Generator.cast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.currentdate_sql": {"fullname": "sqlglot.generator.Generator.currentdate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.currentdate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.collate_sql": {"fullname": "sqlglot.generator.Generator.collate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.collate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Collate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.command_sql": {"fullname": "sqlglot.generator.Generator.command_sql", "modulename": "sqlglot.generator", "qualname": "Generator.command_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Command) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.transaction_sql": {"fullname": "sqlglot.generator.Generator.transaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.commit_sql": {"fullname": "sqlglot.generator.Generator.commit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Commit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rollback_sql": {"fullname": "sqlglot.generator.Generator.rollback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Rollback) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altercolumn_sql": {"fullname": "sqlglot.generator.Generator.altercolumn_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altercolumn_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterColumn) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.renametable_sql": {"fullname": "sqlglot.generator.Generator.renametable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.renametable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altertable_sql": {"fullname": "sqlglot.generator.Generator.altertable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altertable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.droppartition_sql": {"fullname": "sqlglot.generator.Generator.droppartition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.droppartition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DropPartition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.addconstraint_sql": {"fullname": "sqlglot.generator.Generator.addconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.addconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AddConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distinct_sql": {"fullname": "sqlglot.generator.Generator.distinct_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distinct_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distinct) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ignorenulls_sql": {"fullname": "sqlglot.generator.Generator.ignorenulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ignorenulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IgnoreNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.respectnulls_sql": {"fullname": "sqlglot.generator.Generator.respectnulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.respectnulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RespectNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intdiv_sql": {"fullname": "sqlglot.generator.Generator.intdiv_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intdiv_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IntDiv) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dpipe_sql": {"fullname": "sqlglot.generator.Generator.dpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.div_sql": {"fullname": "sqlglot.generator.Generator.div_sql", "modulename": "sqlglot.generator", "qualname": "Generator.div_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Div) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distance_sql": {"fullname": "sqlglot.generator.Generator.distance_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distance_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distance) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dot_sql": {"fullname": "sqlglot.generator.Generator.dot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Dot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.eq_sql": {"fullname": "sqlglot.generator.Generator.eq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.eq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.EQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.escape_sql": {"fullname": "sqlglot.generator.Generator.escape_sql", "modulename": "sqlglot.generator", "qualname": "Generator.escape_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Escape) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.glob_sql": {"fullname": "sqlglot.generator.Generator.glob_sql", "modulename": "sqlglot.generator", "qualname": "Generator.glob_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Glob) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gt_sql": {"fullname": "sqlglot.generator.Generator.gt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gte_sql": {"fullname": "sqlglot.generator.Generator.gte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilike_sql": {"fullname": "sqlglot.generator.Generator.ilike_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilike_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.is_sql": {"fullname": "sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\tkey: Optional[str] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
  • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
  • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
  • \n
  • sep: the argument separator.
  • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
  • \n
  • classes: class(es) we want to find the subclasses of.
  • \n
  • exclude: class(es) we want to exclude from the returned list.
  • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
  • \n
  • offset: the offset that will be applied.
  • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(expressions: List[Optional[~E]], offset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
  • \n
  • func: the transformation to be applied.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: Optional[sqlglot.expressions.Expression],\tfunc: Callable[[Optional[sqlglot.expressions.Expression]], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
  • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
  • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
  • \n
  • base: base name to alter.
  • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
  • \n
  • sep: the value to use to split on.
  • \n
  • min_num_words: the minimum number of words that are going to be in the result.
  • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
  • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
  • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.count_params": {"fullname": "sqlglot.helper.count_params", "modulename": "sqlglot.helper", "qualname": "count_params", "kind": "function", "doc": "

Returns the number of formal parameters expected by a function, without counting \"self\"\nand \"cls\", in case of instance and class methods, respectively.

\n", "signature": "(function: Callable) -> int:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
  • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>)"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
  • \n
  • sql: The SQL string or expression.
  • \n
  • schema: The schema of tables.
  • \n
  • sources: A mapping of queries which will be used to continue building lineage.
  • \n
  • rules: Optimizer rules to apply, by default only qualifying tables and columns.
  • \n
  • dialect: The dialect of input SQL.
  • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function qualify_tables at 0x7fcb8dd0eef0>, <function qualify_columns at 0x7fcb8dd0de10>, <function expand_laterals at 0x7fcb8dd0c550>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): Expression to annotate.
  • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema.
  • \n
  • annotators (dict): Maps expression type to corresponding annotation function.
  • \n
  • coerces_to (dict): Maps expression type to set of types that it can be coerced into.
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression annotated with types

\n
\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
  • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
  • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "qualname": "expand_laterals", "kind": "function", "doc": "

Expand lateral column alias references.

\n\n

This assumes qualify_columns as already run.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a + 1 AS b, b + 1 AS c FROM x"\n>>> expression = sqlglot.parse_one(sql)\n>>> expand_laterals(expression).sql()\n'SELECT x.a + 1 AS b, x.a + 1 + 1 AS c FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

optimized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "qualname": "expand_multi_table_selects", "kind": "function", "doc": "

Replace multiple FROM expressions with JOINs.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand_multi_table_selects(parse_one("SELECT * FROM x, y")).sql()\n'SELECT * FROM x CROSS JOIN y'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "

Convert all unquoted identifiers to lower case.

\n\n

Assuming the schema is all lower case, this essentially makes identifiers case-insensitive.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to quote
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: quoted expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
  • leave_tables_isolated (bool):
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to normalize
  • \n
  • dnf (bool): rewrite in disjunctive normal form instead
  • \n
  • max_distance (int): the maximal estimated distance from cnf to attempt conversion
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(expression, dnf=False, max_distance=128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
  • \n
  • dnf (bool): compute to dnf distance instead
  • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
  • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
  • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
  • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
  • \n
  • dialect: The dialect to parse the sql string.
  • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify_tables or qualify_columns from the sequence of rules unless you know\nwhat you're doing!
  • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7fcb8dd0c820>, <function qualify_tables at 0x7fcb8dd0eef0>, <function isolate_table_selects at 0x7fcb8dd0c790>, <function qualify_columns at 0x7fcb8dd0de10>, <function expand_laterals at 0x7fcb8dd0c550>, <function pushdown_projections at 0x7fcb8dd0e8c0>, <function validate_qualify_columns at 0x7fcb8dd0dea0>, <function normalize at 0x7fcb8dcc24d0>, <function unnest_subqueries at 0x7fcb8dd0f010>, <function expand_multi_table_selects at 0x7fcb8dd0c700>, <function pushdown_predicates at 0x7fcb8dd0d900>, <function optimize_joins at 0x7fcb8dd0d630>, <function eliminate_subqueries at 0x7fcb8dd0c160>, <function merge_subqueries at 0x7fcb8dd0caf0>, <function eliminate_joins at 0x7fcb8dcc2320>, <function eliminate_ctes at 0x7fcb8dcc2200>, <function annotate_types at 0x7fcb8dc9b130>, <function canonicalize at 0x7fcb8dcc1e10>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
  • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(expression, schema):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
  • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
  • \n
  • db (str): Database name
  • \n
  • catalog (str): Catalog name
  • \n
  • schema: A schema to populate
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
  • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
  • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
  • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
  • \n
  • parent (Scope): Parent scope
  • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
  • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
  • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
  • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
  • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
  • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
  • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
  • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
  • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
  • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
  • \n
  • new (exp.Expression): new node
  • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
  • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
  • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
  • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
  • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
  • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args):", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tindex_offset: int = 0,\tunnest_column_only: bool = False,\talias_post_tablesample: bool = False,\tmax_errors: int = 3,\tnull_ordering: Optional[str] = None)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: the list of tokens.
  • \n
  • sql: the original SQL string, used to produce helpful debug messages.
  • \n
\n\n
Returns:
\n\n
\n

The list of syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to try and parse the token list into.
  • \n
  • raw_tokens: the list of tokens.
  • \n
  • sql: the original SQL string, used to produce helpful debug messages.
  • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
  • \n
  • comments: an optional list of comments to attach to the expression.
  • \n
  • kwargs: the arguments to set for the expression along with their respective values.
  • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[sqlglot.expressions.Expression],\tcomments: Optional[List[str]] = None,\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to validate.
  • \n
  • args: an optional list of items that was used to instantiate the expression, if it's a Func.
  • \n
\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\targs: Optional[List] = None) -> None:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: table expression instance or string representing the table.
  • \n
  • column_mapping: a column mapping that describes the structure of the table.
  • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
  • \n
  • only_visible: whether to include invisible columns.
  • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
  • \n
  • column: the target column.
  • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: dict | None = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema (dict): Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
    2. \n
    3. {db: {table: {col: type}}}
    4. \n
    5. {catalog: {db: {table: {col: type}}}}
    6. \n
    7. None - Tables will be added later
    8. \n
  • \n
  • visible (dict): Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
    2. \n
    3. {db: {table: set(cols)}}}
    4. \n
    5. {catalog: {db: {table: set(*cols)}}}}
    6. \n
  • \n
  • dialect (str): The dialect to be used for custom type mappings.
  • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
  • \n
  • column_mapping: a column mapping that describes the structure of the table.
  • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
  • \n
  • only_visible: whether to include invisible columns.
  • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
  • \n
  • column: the target column.
  • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column | str) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(schema: Any) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]):", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.NATIONAL": {"fullname": "sqlglot.tokens.TokenType.NATIONAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATIONAL: 'NATIONAL'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, "sqlglot.tokens.TokenType.SMALLINT": {"fullname": "sqlglot.tokens.TokenType.SMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLINT: 'SMALLINT'>"}, "sqlglot.tokens.TokenType.INT": {"fullname": "sqlglot.tokens.TokenType.INT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT: 'INT'>"}, "sqlglot.tokens.TokenType.BIGINT": {"fullname": "sqlglot.tokens.TokenType.BIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGINT: 'BIGINT'>"}, "sqlglot.tokens.TokenType.FLOAT": {"fullname": "sqlglot.tokens.TokenType.FLOAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FLOAT: 'FLOAT'>"}, "sqlglot.tokens.TokenType.DOUBLE": {"fullname": "sqlglot.tokens.TokenType.DOUBLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOUBLE: 'DOUBLE'>"}, "sqlglot.tokens.TokenType.DECIMAL": {"fullname": "sqlglot.tokens.TokenType.DECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DECIMAL: 'DECIMAL'>"}, "sqlglot.tokens.TokenType.CHAR": {"fullname": "sqlglot.tokens.TokenType.CHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHAR: 'CHAR'>"}, "sqlglot.tokens.TokenType.NCHAR": {"fullname": "sqlglot.tokens.TokenType.NCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NCHAR: 'NCHAR'>"}, "sqlglot.tokens.TokenType.VARCHAR": {"fullname": "sqlglot.tokens.TokenType.VARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARCHAR: 'VARCHAR'>"}, "sqlglot.tokens.TokenType.NVARCHAR": {"fullname": "sqlglot.tokens.TokenType.NVARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.tokens.TokenType.TEXT": {"fullname": "sqlglot.tokens.TokenType.TEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEXT: 'TEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"fullname": "sqlglot.tokens.TokenType.MEDIUMTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.tokens.TokenType.LONGTEXT": {"fullname": "sqlglot.tokens.TokenType.LONGTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"fullname": "sqlglot.tokens.TokenType.MEDIUMBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.tokens.TokenType.LONGBLOB": {"fullname": "sqlglot.tokens.TokenType.LONGBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.tokens.TokenType.BINARY": {"fullname": "sqlglot.tokens.TokenType.BINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BINARY: 'BINARY'>"}, "sqlglot.tokens.TokenType.VARBINARY": {"fullname": "sqlglot.tokens.TokenType.VARBINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARBINARY: 'VARBINARY'>"}, "sqlglot.tokens.TokenType.JSON": {"fullname": "sqlglot.tokens.TokenType.JSON", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSON: 'JSON'>"}, "sqlglot.tokens.TokenType.JSONB": {"fullname": "sqlglot.tokens.TokenType.JSONB", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSONB: 'JSONB'>"}, "sqlglot.tokens.TokenType.TIME": {"fullname": "sqlglot.tokens.TokenType.TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIME: 'TIME'>"}, "sqlglot.tokens.TokenType.TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPLTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.tokens.TokenType.DATETIME": {"fullname": "sqlglot.tokens.TokenType.DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME: 'DATETIME'>"}, "sqlglot.tokens.TokenType.DATE": {"fullname": "sqlglot.tokens.TokenType.DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATE: 'DATE'>"}, "sqlglot.tokens.TokenType.UUID": {"fullname": "sqlglot.tokens.TokenType.UUID", "modulename": "sqlglot.tokens", "qualname": "TokenType.UUID", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UUID: 'UUID'>"}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"fullname": "sqlglot.tokens.TokenType.GEOGRAPHY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.tokens.TokenType.NULLABLE": {"fullname": "sqlglot.tokens.TokenType.NULLABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLABLE: 'NULLABLE'>"}, "sqlglot.tokens.TokenType.GEOMETRY": {"fullname": "sqlglot.tokens.TokenType.GEOMETRY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.tokens.TokenType.HLLSKETCH": {"fullname": "sqlglot.tokens.TokenType.HLLSKETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.tokens.TokenType.HSTORE": {"fullname": "sqlglot.tokens.TokenType.HSTORE", "modulename": "sqlglot.tokens", "qualname": "TokenType.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HSTORE: 'HSTORE'>"}, "sqlglot.tokens.TokenType.SUPER": {"fullname": "sqlglot.tokens.TokenType.SUPER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SUPER: 'SUPER'>"}, "sqlglot.tokens.TokenType.SERIAL": {"fullname": "sqlglot.tokens.TokenType.SERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERIAL: 'SERIAL'>"}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"fullname": "sqlglot.tokens.TokenType.SMALLSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.tokens.TokenType.BIGSERIAL": {"fullname": "sqlglot.tokens.TokenType.BIGSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.tokens.TokenType.XML": {"fullname": "sqlglot.tokens.TokenType.XML", "modulename": "sqlglot.tokens", "qualname": "TokenType.XML", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.XML: 'XML'>"}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.tokens.TokenType.MONEY": {"fullname": "sqlglot.tokens.TokenType.MONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MONEY: 'MONEY'>"}, "sqlglot.tokens.TokenType.SMALLMONEY": {"fullname": "sqlglot.tokens.TokenType.SMALLMONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.tokens.TokenType.ROWVERSION": {"fullname": "sqlglot.tokens.TokenType.ROWVERSION", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.tokens.TokenType.IMAGE": {"fullname": "sqlglot.tokens.TokenType.IMAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IMAGE: 'IMAGE'>"}, "sqlglot.tokens.TokenType.VARIANT": {"fullname": "sqlglot.tokens.TokenType.VARIANT", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARIANT: 'VARIANT'>"}, "sqlglot.tokens.TokenType.OBJECT": {"fullname": "sqlglot.tokens.TokenType.OBJECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OBJECT: 'OBJECT'>"}, "sqlglot.tokens.TokenType.INET": {"fullname": "sqlglot.tokens.TokenType.INET", "modulename": "sqlglot.tokens", "qualname": "TokenType.INET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INET: 'INET'>"}, "sqlglot.tokens.TokenType.ALIAS": {"fullname": "sqlglot.tokens.TokenType.ALIAS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALIAS: 'ALIAS'>"}, "sqlglot.tokens.TokenType.ALTER": {"fullname": "sqlglot.tokens.TokenType.ALTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALTER: 'ALTER'>"}, "sqlglot.tokens.TokenType.ALWAYS": {"fullname": "sqlglot.tokens.TokenType.ALWAYS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALWAYS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALWAYS: 'ALWAYS'>"}, "sqlglot.tokens.TokenType.ALL": {"fullname": "sqlglot.tokens.TokenType.ALL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALL: 'ALL'>"}, "sqlglot.tokens.TokenType.ANTI": {"fullname": "sqlglot.tokens.TokenType.ANTI", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANTI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANTI: 'ANTI'>"}, "sqlglot.tokens.TokenType.ANY": {"fullname": "sqlglot.tokens.TokenType.ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANY: 'ANY'>"}, "sqlglot.tokens.TokenType.APPLY": {"fullname": "sqlglot.tokens.TokenType.APPLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.APPLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.APPLY: 'APPLY'>"}, "sqlglot.tokens.TokenType.ARRAY": {"fullname": "sqlglot.tokens.TokenType.ARRAY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARRAY: 'ARRAY'>"}, "sqlglot.tokens.TokenType.ASC": {"fullname": "sqlglot.tokens.TokenType.ASC", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASC: 'ASC'>"}, "sqlglot.tokens.TokenType.ASOF": {"fullname": "sqlglot.tokens.TokenType.ASOF", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASOF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASOF: 'ASOF'>"}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.AT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AT_TIME_ZONE: 'AT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"fullname": "sqlglot.tokens.TokenType.AUTO_INCREMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AUTO_INCREMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>"}, "sqlglot.tokens.TokenType.BEGIN": {"fullname": "sqlglot.tokens.TokenType.BEGIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BEGIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BEGIN: 'BEGIN'>"}, "sqlglot.tokens.TokenType.BETWEEN": {"fullname": "sqlglot.tokens.TokenType.BETWEEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BETWEEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BETWEEN: 'BETWEEN'>"}, "sqlglot.tokens.TokenType.BOTH": {"fullname": "sqlglot.tokens.TokenType.BOTH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOTH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOTH: 'BOTH'>"}, "sqlglot.tokens.TokenType.BUCKET": {"fullname": "sqlglot.tokens.TokenType.BUCKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.BUCKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BUCKET: 'BUCKET'>"}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"fullname": "sqlglot.tokens.TokenType.BY_DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BY_DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BY_DEFAULT: 'BY_DEFAULT'>"}, "sqlglot.tokens.TokenType.CACHE": {"fullname": "sqlglot.tokens.TokenType.CACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CACHE: 'CACHE'>"}, "sqlglot.tokens.TokenType.CASCADE": {"fullname": "sqlglot.tokens.TokenType.CASCADE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASCADE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASCADE: 'CASCADE'>"}, "sqlglot.tokens.TokenType.CASE": {"fullname": "sqlglot.tokens.TokenType.CASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASE: 'CASE'>"}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"fullname": "sqlglot.tokens.TokenType.CHARACTER_SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHARACTER_SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHARACTER_SET: 'CHARACTER_SET'>"}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"fullname": "sqlglot.tokens.TokenType.CLUSTER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.CLUSTER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CLUSTER_BY: 'CLUSTER_BY'>"}, "sqlglot.tokens.TokenType.COLLATE": {"fullname": "sqlglot.tokens.TokenType.COLLATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLLATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLLATE: 'COLLATE'>"}, "sqlglot.tokens.TokenType.COMMAND": {"fullname": "sqlglot.tokens.TokenType.COMMAND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMAND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMAND: 'COMMAND'>"}, "sqlglot.tokens.TokenType.COMMENT": {"fullname": "sqlglot.tokens.TokenType.COMMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMENT: 'COMMENT'>"}, "sqlglot.tokens.TokenType.COMMIT": {"fullname": "sqlglot.tokens.TokenType.COMMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMIT: 'COMMIT'>"}, "sqlglot.tokens.TokenType.COMPOUND": {"fullname": "sqlglot.tokens.TokenType.COMPOUND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMPOUND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMPOUND: 'COMPOUND'>"}, "sqlglot.tokens.TokenType.CONSTRAINT": {"fullname": "sqlglot.tokens.TokenType.CONSTRAINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.CONSTRAINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CONSTRAINT: 'CONSTRAINT'>"}, "sqlglot.tokens.TokenType.CREATE": {"fullname": "sqlglot.tokens.TokenType.CREATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CREATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CREATE: 'CREATE'>"}, "sqlglot.tokens.TokenType.CROSS": {"fullname": "sqlglot.tokens.TokenType.CROSS", "modulename": "sqlglot.tokens", "qualname": "TokenType.CROSS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CROSS: 'CROSS'>"}, "sqlglot.tokens.TokenType.CUBE": {"fullname": "sqlglot.tokens.TokenType.CUBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CUBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CUBE: 'CUBE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATE: 'CURRENT_DATE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>"}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"fullname": "sqlglot.tokens.TokenType.CURRENT_ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_ROW: 'CURRENT_ROW'>"}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIME: 'CURRENT_TIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>"}, "sqlglot.tokens.TokenType.DEFAULT": {"fullname": "sqlglot.tokens.TokenType.DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DEFAULT: 'DEFAULT'>"}, "sqlglot.tokens.TokenType.DELETE": {"fullname": "sqlglot.tokens.TokenType.DELETE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DELETE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DELETE: 'DELETE'>"}, "sqlglot.tokens.TokenType.DESC": {"fullname": "sqlglot.tokens.TokenType.DESC", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESC: 'DESC'>"}, "sqlglot.tokens.TokenType.DESCRIBE": {"fullname": "sqlglot.tokens.TokenType.DESCRIBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESCRIBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESCRIBE: 'DESCRIBE'>"}, "sqlglot.tokens.TokenType.DISTINCT": {"fullname": "sqlglot.tokens.TokenType.DISTINCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT: 'DISTINCT'>"}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"fullname": "sqlglot.tokens.TokenType.DISTINCT_FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT_FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT_FROM: 'DISTINCT_FROM'>"}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"fullname": "sqlglot.tokens.TokenType.DISTRIBUTE_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTRIBUTE_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>"}, "sqlglot.tokens.TokenType.DIV": {"fullname": "sqlglot.tokens.TokenType.DIV", "modulename": "sqlglot.tokens", "qualname": "TokenType.DIV", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DIV: 'DIV'>"}, "sqlglot.tokens.TokenType.DROP": {"fullname": "sqlglot.tokens.TokenType.DROP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DROP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DROP: 'DROP'>"}, "sqlglot.tokens.TokenType.ELSE": {"fullname": "sqlglot.tokens.TokenType.ELSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ELSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ELSE: 'ELSE'>"}, "sqlglot.tokens.TokenType.END": {"fullname": "sqlglot.tokens.TokenType.END", "modulename": "sqlglot.tokens", "qualname": "TokenType.END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.END: 'END'>"}, "sqlglot.tokens.TokenType.ESCAPE": {"fullname": "sqlglot.tokens.TokenType.ESCAPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ESCAPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ESCAPE: 'ESCAPE'>"}, "sqlglot.tokens.TokenType.EXCEPT": {"fullname": "sqlglot.tokens.TokenType.EXCEPT", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXCEPT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXCEPT: 'EXCEPT'>"}, "sqlglot.tokens.TokenType.EXECUTE": {"fullname": "sqlglot.tokens.TokenType.EXECUTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXECUTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXECUTE: 'EXECUTE'>"}, "sqlglot.tokens.TokenType.EXISTS": {"fullname": "sqlglot.tokens.TokenType.EXISTS", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXISTS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXISTS: 'EXISTS'>"}, "sqlglot.tokens.TokenType.FALSE": {"fullname": "sqlglot.tokens.TokenType.FALSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.FALSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FALSE: 'FALSE'>"}, "sqlglot.tokens.TokenType.FETCH": {"fullname": "sqlglot.tokens.TokenType.FETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.FETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FETCH: 'FETCH'>"}, "sqlglot.tokens.TokenType.FILTER": {"fullname": "sqlglot.tokens.TokenType.FILTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.FILTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FILTER: 'FILTER'>"}, "sqlglot.tokens.TokenType.FINAL": {"fullname": "sqlglot.tokens.TokenType.FINAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FINAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FINAL: 'FINAL'>"}, "sqlglot.tokens.TokenType.FIRST": {"fullname": "sqlglot.tokens.TokenType.FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FIRST: 'FIRST'>"}, "sqlglot.tokens.TokenType.FOLLOWING": {"fullname": "sqlglot.tokens.TokenType.FOLLOWING", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOLLOWING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOLLOWING: 'FOLLOWING'>"}, "sqlglot.tokens.TokenType.FOR": {"fullname": "sqlglot.tokens.TokenType.FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOR: 'FOR'>"}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"fullname": "sqlglot.tokens.TokenType.FOREIGN_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOREIGN_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>"}, "sqlglot.tokens.TokenType.FORMAT": {"fullname": "sqlglot.tokens.TokenType.FORMAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FORMAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FORMAT: 'FORMAT'>"}, "sqlglot.tokens.TokenType.FROM": {"fullname": "sqlglot.tokens.TokenType.FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FROM: 'FROM'>"}, "sqlglot.tokens.TokenType.FULL": {"fullname": "sqlglot.tokens.TokenType.FULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FULL: 'FULL'>"}, "sqlglot.tokens.TokenType.FUNCTION": {"fullname": "sqlglot.tokens.TokenType.FUNCTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.FUNCTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FUNCTION: 'FUNCTION'>"}, "sqlglot.tokens.TokenType.GLOB": {"fullname": "sqlglot.tokens.TokenType.GLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOB: 'GLOB'>"}, "sqlglot.tokens.TokenType.GLOBAL": {"fullname": "sqlglot.tokens.TokenType.GLOBAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOBAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOBAL: 'GLOBAL'>"}, "sqlglot.tokens.TokenType.GROUP_BY": {"fullname": "sqlglot.tokens.TokenType.GROUP_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUP_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUP_BY: 'GROUP_BY'>"}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"fullname": "sqlglot.tokens.TokenType.GROUPING_SETS", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUPING_SETS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUPING_SETS: 'GROUPING_SETS'>"}, "sqlglot.tokens.TokenType.HAVING": {"fullname": "sqlglot.tokens.TokenType.HAVING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HAVING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HAVING: 'HAVING'>"}, "sqlglot.tokens.TokenType.HINT": {"fullname": "sqlglot.tokens.TokenType.HINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.HINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HINT: 'HINT'>"}, "sqlglot.tokens.TokenType.IF": {"fullname": "sqlglot.tokens.TokenType.IF", "modulename": "sqlglot.tokens", "qualname": "TokenType.IF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IF: 'IF'>"}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"fullname": "sqlglot.tokens.TokenType.IGNORE_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IGNORE_NULLS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IGNORE_NULLS: 'IGNORE_NULLS'>"}, "sqlglot.tokens.TokenType.ILIKE": {"fullname": "sqlglot.tokens.TokenType.ILIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE: 'ILIKE'>"}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.ILIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE_ANY: 'ILIKE_ANY'>"}, "sqlglot.tokens.TokenType.IN": {"fullname": "sqlglot.tokens.TokenType.IN", "modulename": "sqlglot.tokens", "qualname": "TokenType.IN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IN: 'IN'>"}, "sqlglot.tokens.TokenType.INDEX": {"fullname": "sqlglot.tokens.TokenType.INDEX", "modulename": "sqlglot.tokens", "qualname": "TokenType.INDEX", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INDEX: 'INDEX'>"}, "sqlglot.tokens.TokenType.INNER": {"fullname": "sqlglot.tokens.TokenType.INNER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INNER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INNER: 'INNER'>"}, "sqlglot.tokens.TokenType.INSERT": {"fullname": "sqlglot.tokens.TokenType.INSERT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INSERT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INSERT: 'INSERT'>"}, "sqlglot.tokens.TokenType.INTERSECT": {"fullname": "sqlglot.tokens.TokenType.INTERSECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERSECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERSECT: 'INTERSECT'>"}, "sqlglot.tokens.TokenType.INTERVAL": {"fullname": "sqlglot.tokens.TokenType.INTERVAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERVAL: 'INTERVAL'>"}, "sqlglot.tokens.TokenType.INTO": {"fullname": "sqlglot.tokens.TokenType.INTO", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTO: 'INTO'>"}, "sqlglot.tokens.TokenType.INTRODUCER": {"fullname": "sqlglot.tokens.TokenType.INTRODUCER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTRODUCER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTRODUCER: 'INTRODUCER'>"}, "sqlglot.tokens.TokenType.IRLIKE": {"fullname": "sqlglot.tokens.TokenType.IRLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IRLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IRLIKE: 'IRLIKE'>"}, "sqlglot.tokens.TokenType.IS": {"fullname": "sqlglot.tokens.TokenType.IS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IS: 'IS'>"}, "sqlglot.tokens.TokenType.ISNULL": {"fullname": "sqlglot.tokens.TokenType.ISNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ISNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ISNULL: 'ISNULL'>"}, "sqlglot.tokens.TokenType.JOIN": {"fullname": "sqlglot.tokens.TokenType.JOIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN: 'JOIN'>"}, "sqlglot.tokens.TokenType.LANGUAGE": {"fullname": "sqlglot.tokens.TokenType.LANGUAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LANGUAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LANGUAGE: 'LANGUAGE'>"}, "sqlglot.tokens.TokenType.LATERAL": {"fullname": "sqlglot.tokens.TokenType.LATERAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LATERAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LATERAL: 'LATERAL'>"}, "sqlglot.tokens.TokenType.LAZY": {"fullname": "sqlglot.tokens.TokenType.LAZY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LAZY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LAZY: 'LAZY'>"}, "sqlglot.tokens.TokenType.LEADING": {"fullname": "sqlglot.tokens.TokenType.LEADING", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEADING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEADING: 'LEADING'>"}, "sqlglot.tokens.TokenType.LEFT": {"fullname": "sqlglot.tokens.TokenType.LEFT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEFT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEFT: 'LEFT'>"}, "sqlglot.tokens.TokenType.LIKE": {"fullname": "sqlglot.tokens.TokenType.LIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE: 'LIKE'>"}, "sqlglot.tokens.TokenType.LIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.LIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE_ANY: 'LIKE_ANY'>"}, "sqlglot.tokens.TokenType.LIMIT": {"fullname": "sqlglot.tokens.TokenType.LIMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIMIT: 'LIMIT'>"}, "sqlglot.tokens.TokenType.LOAD_DATA": {"fullname": "sqlglot.tokens.TokenType.LOAD_DATA", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOAD_DATA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOAD_DATA: 'LOAD_DATA'>"}, "sqlglot.tokens.TokenType.LOCAL": {"fullname": "sqlglot.tokens.TokenType.LOCAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOCAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOCAL: 'LOCAL'>"}, "sqlglot.tokens.TokenType.MAP": {"fullname": "sqlglot.tokens.TokenType.MAP", "modulename": "sqlglot.tokens", "qualname": "TokenType.MAP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MAP: 'MAP'>"}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"fullname": "sqlglot.tokens.TokenType.MATCH_RECOGNIZE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATCH_RECOGNIZE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATCH_RECOGNIZE: 'MATCH_RECOGNIZE'>"}, "sqlglot.tokens.TokenType.MATERIALIZED": {"fullname": "sqlglot.tokens.TokenType.MATERIALIZED", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATERIALIZED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATERIALIZED: 'MATERIALIZED'>"}, "sqlglot.tokens.TokenType.MERGE": {"fullname": "sqlglot.tokens.TokenType.MERGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MERGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MERGE: 'MERGE'>"}, "sqlglot.tokens.TokenType.MOD": {"fullname": "sqlglot.tokens.TokenType.MOD", "modulename": "sqlglot.tokens", "qualname": "TokenType.MOD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MOD: 'MOD'>"}, "sqlglot.tokens.TokenType.NATURAL": {"fullname": "sqlglot.tokens.TokenType.NATURAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATURAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATURAL: 'NATURAL'>"}, "sqlglot.tokens.TokenType.NEXT": {"fullname": "sqlglot.tokens.TokenType.NEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT: 'NEXT'>"}, "sqlglot.tokens.TokenType.NO_ACTION": {"fullname": "sqlglot.tokens.TokenType.NO_ACTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.NO_ACTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NO_ACTION: 'NO_ACTION'>"}, "sqlglot.tokens.TokenType.NOTNULL": {"fullname": "sqlglot.tokens.TokenType.NOTNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOTNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOTNULL: 'NOTNULL'>"}, "sqlglot.tokens.TokenType.NULL": {"fullname": "sqlglot.tokens.TokenType.NULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULL: 'NULL'>"}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"fullname": "sqlglot.tokens.TokenType.NULLS_FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLS_FIRST: 'NULLS_FIRST'>"}, "sqlglot.tokens.TokenType.NULLS_LAST": {"fullname": "sqlglot.tokens.TokenType.NULLS_LAST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_LAST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLS_LAST: 'NULLS_LAST'>"}, "sqlglot.tokens.TokenType.OFFSET": {"fullname": "sqlglot.tokens.TokenType.OFFSET", "modulename": "sqlglot.tokens", "qualname": "TokenType.OFFSET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OFFSET: 'OFFSET'>"}, "sqlglot.tokens.TokenType.ON": {"fullname": "sqlglot.tokens.TokenType.ON", "modulename": "sqlglot.tokens", "qualname": "TokenType.ON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ON: 'ON'>"}, "sqlglot.tokens.TokenType.ONLY": {"fullname": "sqlglot.tokens.TokenType.ONLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ONLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ONLY: 'ONLY'>"}, "sqlglot.tokens.TokenType.OPTIONS": {"fullname": "sqlglot.tokens.TokenType.OPTIONS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OPTIONS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OPTIONS: 'OPTIONS'>"}, "sqlglot.tokens.TokenType.ORDER_BY": {"fullname": "sqlglot.tokens.TokenType.ORDER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDER_BY: 'ORDER_BY'>"}, "sqlglot.tokens.TokenType.ORDERED": {"fullname": "sqlglot.tokens.TokenType.ORDERED", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDERED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDERED: 'ORDERED'>"}, "sqlglot.tokens.TokenType.ORDINALITY": {"fullname": "sqlglot.tokens.TokenType.ORDINALITY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDINALITY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDINALITY: 'ORDINALITY'>"}, "sqlglot.tokens.TokenType.OUTER": {"fullname": "sqlglot.tokens.TokenType.OUTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUTER: 'OUTER'>"}, "sqlglot.tokens.TokenType.OUT_OF": {"fullname": "sqlglot.tokens.TokenType.OUT_OF", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUT_OF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUT_OF: 'OUT_OF'>"}, "sqlglot.tokens.TokenType.OVER": {"fullname": "sqlglot.tokens.TokenType.OVER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRECEDING": {"fullname": "sqlglot.tokens.TokenType.PRECEDING", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRECEDING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRECEDING: 'PRECEDING'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"fullname": "sqlglot.tokens.TokenType.RESPECT_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.RESPECT_NULLS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RESPECT_NULLS: 'RESPECT_NULLS'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SEED": {"fullname": "sqlglot.tokens.TokenType.SEED", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEED: 'SEED'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.SORTKEY": {"fullname": "sqlglot.tokens.TokenType.SORTKEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORTKEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SORTKEY: 'SORTKEY'>"}, "sqlglot.tokens.TokenType.SORT_BY": {"fullname": "sqlglot.tokens.TokenType.SORT_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORT_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SORT_BY: 'SORT_BY'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRAILING": {"fullname": "sqlglot.tokens.TokenType.TRAILING", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRAILING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRAILING: 'TRAILING'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNBOUNDED": {"fullname": "sqlglot.tokens.TokenType.UNBOUNDED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNBOUNDED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNBOUNDED: 'UNBOUNDED'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNLOGGED": {"fullname": "sqlglot.tokens.TokenType.UNLOGGED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNLOGGED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNLOGGED: 'UNLOGGED'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH_TIME_ZONE: 'WITH_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_LOCAL_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH_LOCAL_TIME_ZONE: 'WITH_LOCAL_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"fullname": "sqlglot.tokens.TokenType.WITHIN_GROUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHIN_GROUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITHIN_GROUP: 'WITHIN_GROUP'>"}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHOUT_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITHOUT_TIME_ZONE: 'WITHOUT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in other expressions.\nThis transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using an appropriate Generator.TRANSFORMS function.

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
  • \n
  • to_sql: final transform that converts the resulting expression to a SQL string.
  • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]],\tto_sql: Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.transforms.delegate": {"fullname": "sqlglot.transforms.delegate", "modulename": "sqlglot.transforms", "qualname": "delegate", "kind": "function", "doc": "

Create a new method that delegates to attr. This is useful for creating Generator.TRANSFORMS\nfunctions that delegate to existing generator methods.

\n", "signature": "(attr: str) -> Callable:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
  • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(keywords: Iterable[Sequence[Hashable]]) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
  • \n
  • key: the target key.
  • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
\n", "signature": "(trie: Dict, key: Sequence[Hashable]) -> Tuple[int, Dict]:", "funcdef": "def"}}, "docInfo": {"sqlglot": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5685}, "sqlglot.pretty": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 1, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.schema": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parse": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 124, "bases": 0, "doc": 84}, "sqlglot.parse_one": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 198, "bases": 0, "doc": 99}, "sqlglot.transpile": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 239, "bases": 0, "doc": 177}, "sqlglot.dataframe": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3543}, "sqlglot.dataframe.sql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.select": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.where": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.union": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersect": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.distinct": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 100}, "sqlglot.dataframe.sql.DataFrame.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 217, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.limit": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.hint": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.repartition": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.cache": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.persist": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 20}, "sqlglot.dataframe.sql.GroupedData": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.count": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.mean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.avg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.max": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.min": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.sum": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.pivot": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 63, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_col": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_cols": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.binary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.unary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_literal": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.set_table_name": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.when": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.otherwise": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNotNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.cast": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 27}, "sqlglot.dataframe.sql.Column.startswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.endswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.rlike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.like": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ilike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.substr": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 121, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isin": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 81, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.over": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 177, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dialects": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 764}, "sqlglot.dialects.bigquery": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 7}, "sqlglot.dialects.bigquery.BigQuery": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks.Databricks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.databricks.Databricks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.dialect": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 5}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.HIVE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TRINO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DRILL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 105, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.format_time": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse_into": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 126, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.transpile": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 37, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.rename_func": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.if_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.inline_array_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_ilike_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_tablesample_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_pivot_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_trycast_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_properties_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_position_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.struct_extract_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.var_map_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 71}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 46}, "sqlglot.dialects.dialect.parse_date_delta": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.locate_to_strposition": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestrtotime_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.datestrtodate_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.trim_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_to_time_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.dialects.drill": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.drill.Drill": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.drill.Drill.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.drill.Drill.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.drill.Drill.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.hive": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.hive.Hive.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.hive.Hive.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.hive.Hive.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.mysql.MySQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.oracle.Oracle.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.postgres.Postgres": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.postgres.Postgres.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.presto": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.presto.Presto.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.presto.Presto.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.presto.Presto.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift.Redshift": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 58}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 19}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 16}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 75}, "sqlglot.dialects.snowflake": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 66}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 125}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.dialects.spark": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark.Spark.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark.Spark.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.sqlite": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.sqlite.SQLite.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.tableau": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.tableau.Tableau.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata.Teradata.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.trino": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.trino.Trino": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.trino.Trino.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.trino.Trino.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.tsql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.tsql.TSQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.diff": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 6444}, "sqlglot.diff.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Insert.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Remove": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Remove.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Move": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.diff.Move.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Update.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.Keep": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.diff.Keep.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.diff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 206, "bases": 0, "doc": 306}, "sqlglot.diff.ChangeDistiller": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 46}, "sqlglot.diff.ChangeDistiller.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.diff.ChangeDistiller.diff": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 199, "bases": 0, "doc": 3}, "sqlglot.errors": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.errors.ErrorLevel": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.errors.ErrorLevel.IGNORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.WARN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.RAISE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 12}, "sqlglot.errors.SqlglotError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 11}, "sqlglot.errors.UnsupportedError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.errors.ParseError.new": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 207, "bases": 0, "doc": 3}, "sqlglot.errors.TokenError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.OptimizeError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.SchemaError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ExecuteError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.concat_messages": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.errors.merge_errors": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.executor": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 2950}, "sqlglot.executor.execute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 197, "bases": 0, "doc": 115}, "sqlglot.executor.context": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 64}, "sqlglot.executor.context.Context.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 21}, "sqlglot.executor.context.Context.eval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.eval_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.table_iter": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_row": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_index": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_range": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.executor.env": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key.__init__": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.env.filter_nulls": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.null_if_any": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 13, "bases": 0, "doc": 59}, "sqlglot.executor.env.str_position": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.env.substring": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.executor.env.cast": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.env.ordered": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.interval": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.execute": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 16}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 15}, "sqlglot.executor.python.PythonExecutor.context": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.static": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_table": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.hash_join": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.aggregate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.set_operation": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.Python": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.executor.python.Python.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.executor.python.Python.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.executor.table": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.append": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.pop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.executor.table.Tables": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 87}, "sqlglot.executor.table.ensure_tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.expressions": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 346}, "sqlglot.expressions.Expression.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.this": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.text": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 32}, "sqlglot.expressions.Expression.is_string": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_number": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_int": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.alias": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.expressions.Expression.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Expression.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.append": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 54}, "sqlglot.expressions.Expression.set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 65}, "sqlglot.expressions.Expression.find_all": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 63}, "sqlglot.expressions.Expression.find_ancestor": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.parent_select": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "sqlglot.expressions.Expression.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 89}, "sqlglot.expressions.Expression.dfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.bfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.unalias": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 12}, "sqlglot.expressions.Expression.unnest_operands": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.flatten": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 28}, "sqlglot.expressions.Expression.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression.transform": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.expressions.Expression.replace": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 83}, "sqlglot.expressions.Expression.pop": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.assert_is": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 162}, "sqlglot.expressions.Expression.error_messages": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 79}, "sqlglot.expressions.Expression.dump": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.load": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 17}, "sqlglot.expressions.Condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Condition.and_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 173}, "sqlglot.expressions.Condition.or_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 173}, "sqlglot.expressions.Condition.not_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 88}, "sqlglot.expressions.Predicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 13}, "sqlglot.expressions.DerivedTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable.union": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.Unionable.intersect": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 210}, "sqlglot.expressions.Unionable.except_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.UDTF": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Cache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Uncache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Create": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Describe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Set": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetItem": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Show": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UserDefinedFunction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSet": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.With": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithinGroup": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableAlias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.HexString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ByteString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.ColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterColumn": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RenameTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraintKind": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CheckColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CommentColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CompressColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateFormatColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefaultColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EncodeColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InlineLengthColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NotNullColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TitleColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UniqueColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UppercaseColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PathColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Constraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Drop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Filter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Check": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Directory": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ForeignKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unique": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Into": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.From": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Having": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JoinHint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Index": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Introducer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.National": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LoadData": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Partition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Fetch": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Group": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lambda": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Limit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Join.on": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 252}, "sqlglot.expressions.Join.using": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 254}, "sqlglot.expressions.Lateral": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchRecognize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Final": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Offset": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Order": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cluster": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distribute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ordered": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Property": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AfterJournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlgorithmProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BlockCompressionProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ChecksumProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataBlocksizeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefinerProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistStyleProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EngineProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExecuteAsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExternalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FallbackProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FileFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FreespaceProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IsolatedLoadingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LanguageProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LikeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LocationProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LockingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MaterializedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeBlockRatioProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NoPrimaryIndexProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnCommitProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PartitionedByProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReturnsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatDelimitedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatSerdeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SchemaCommentProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SerdeProperties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SqlSecurityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TemporaryProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TransientProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VolatilityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithDataProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithJournalTableProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties.Location": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_NAME": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_WITH": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.from_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.expressions.Qualify": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Return": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reference": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable.subquery": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 213}, "sqlglot.expressions.Subqueryable.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 319}, "sqlglot.expressions.Table": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SystemTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 234}, "sqlglot.expressions.Union.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 174, "bases": 0, "doc": 245}, "sqlglot.expressions.Union.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Except": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unnest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lock": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select.from_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 238}, "sqlglot.expressions.Select.group_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.order_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.sort_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.cluster_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.offset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 174, "bases": 0, "doc": 196}, "sqlglot.expressions.Select.lateral": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 247}, "sqlglot.expressions.Select.join": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 118, "bases": 0, "doc": 628}, "sqlglot.expressions.Select.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 265}, "sqlglot.expressions.Select.having": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.window": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.distinct": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 151}, "sqlglot.expressions.Select.ctas": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 236}, "sqlglot.expressions.Select.lock": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 331}, "sqlglot.expressions.Select.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Subquery.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 8}, "sqlglot.expressions.Subquery.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.TableSample": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 15}, "sqlglot.expressions.Pivot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Window": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WindowSpec": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Where": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Parameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SessionParameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Placeholder": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Boolean": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType.Type": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.DataType.Type.CHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARBINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.FLOAT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DOUBLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSON": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSONB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INTERVAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ARRAY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MAP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UUID": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.STRUCT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULLABLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HSTORE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SUPER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.XML": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.IMAGE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARIANT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.OBJECT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 157, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.PseudoType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructKwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SubqueryPredicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.All": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Any": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exists": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Command": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Transaction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Commit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Rollback": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AddConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DropPartition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Binary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Add": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Connector": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.And": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Or": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseLeftShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseRightShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseXor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Div": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DPipe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeNEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Distance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Escape": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Glob": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.IntDiv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Is": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Kwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 12}, "sqlglot.expressions.Like": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Mod": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Mul": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.SimilarTo": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Slice": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseNot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Not": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Neg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Aliases": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AtTimeZone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Between": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Bracket": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.In": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeUnit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 10}, "sqlglot.expressions.TimeUnit.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Interval": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IgnoreNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RespectNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 128}, "sqlglot.expressions.Func.from_arg_list": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.default_parser_mappings": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.AggFunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Abs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Anonymous": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxDistinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Array": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GenerateSeries": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayFilter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayUnionAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Avg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AnyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Cast.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.Collate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TryCast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ceil": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Coalesce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Concat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ConcatWs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Count": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDatetime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTimestamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DatetimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DayOfWeek": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WeekOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LastDateOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Extract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimestampAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateFromParts": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Day": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Decode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DiToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Encode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Explode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Floor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Greatest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GroupConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.If": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IfNull": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Initcap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.JSONExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Least": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Length": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Levenshtein": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ln": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log10": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lower": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Map": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Matches": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 22}, "sqlglot.expressions.Max": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Min": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Month": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Nvl2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Posexplode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pow": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.PercentileCont": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PercentileDisc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantiles": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.QuantileIf": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxQuantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReadCSV": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reduce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpLike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpSplit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Repeat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Round": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowNumber": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SafeDivide": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortArray": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Split": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Substring": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NumberToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Struct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sqrt": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Stddev": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevPop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevSamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Trim": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TsOrDsToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDiToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unhex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Upper": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Variance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VariancePop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Week": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.XMLTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Year": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Use": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Merge": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.When": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.maybe_parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 264, "bases": 0, "doc": 231}, "sqlglot.expressions.union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.except_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 235}, "sqlglot.expressions.select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 206}, "sqlglot.expressions.from_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 271}, "sqlglot.expressions.delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 156}, "sqlglot.expressions.condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 334}, "sqlglot.expressions.and_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 180}, "sqlglot.expressions.or_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 180}, "sqlglot.expressions.not_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 152}, "sqlglot.expressions.paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.expressions.to_identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 53}, "sqlglot.expressions.to_interval": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 16}, "sqlglot.expressions.to_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 66}, "sqlglot.expressions.to_column": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 62}, "sqlglot.expressions.alias_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 218, "bases": 0, "doc": 292}, "sqlglot.expressions.subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 197}, "sqlglot.expressions.column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 59}, "sqlglot.expressions.cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 102, "bases": 0, "doc": 122}, "sqlglot.expressions.table_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 58}, "sqlglot.expressions.values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 131, "bases": 0, "doc": 169}, "sqlglot.expressions.var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 168}, "sqlglot.expressions.rename_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 50}, "sqlglot.expressions.convert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 54}, "sqlglot.expressions.replace_children": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 18}, "sqlglot.expressions.column_table_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 129}, "sqlglot.expressions.table_name": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 152}, "sqlglot.expressions.replace_tables": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 176}, "sqlglot.expressions.replace_placeholders": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 25, "bases": 0, "doc": 216}, "sqlglot.expressions.expand": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 200}, "sqlglot.expressions.func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 272}, "sqlglot.expressions.true": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.false": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 7}, "sqlglot.generator": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.generator.Generator": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 495}, "sqlglot.generator.Generator.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 300, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generate": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 28}, "sqlglot.generator.Generator.unsupported": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sep": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.seg": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pad_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.maybe_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.wrap": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.no_identify": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.normalize_func": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.indent": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uncache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.characterset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.column_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.create_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.describe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.prepend_ctes": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablealias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hexstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.directory_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.delete_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.drop_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fetch_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.filter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.index_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.identifier_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.national_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.root_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.locate_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.property_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fallbackproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.journalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.freespaceproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.checksumproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lockingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withdataproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.insert_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.introducer_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pseudotype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.table_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablesample_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pivot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tuple_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.update_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.values_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.var_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.into_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.from_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.group_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.having_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.join_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lambda_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 59, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lateral_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.limit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.offset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lock_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.literal_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.loaddata_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.null_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.boolean_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.order_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cluster_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distribute_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sort_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ordered_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchrecognize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.query_modifiers": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.select_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.schema_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.star_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.structkwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.parameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sessionparameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.placeholder_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.subquery_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.qualify_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unnest_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.where_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_by_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_spec_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withingroup_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.between_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bracket_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.all_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.any_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.exists_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.case_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.constraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.extract_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trim_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.concat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.check_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.foreignkey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unique_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.if_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_unnest_op": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.interval_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.return_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.reference_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.anonymous_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.paren_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.not_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.alias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.aliases_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.attimezone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.add_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.and_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.connector_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseand_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisenot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisexor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.currentdate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.collate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.command_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.transaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.commit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rollback_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altercolumn_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.renametable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altertable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.droppartition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.addconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distinct_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ignorenulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.respectnulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intdiv_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dpipe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.div_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distance_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.eq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.escape_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.glob_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilike_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.is_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.like_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.similarto_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mod_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mul_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeeq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeneq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.or_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.slice_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sub_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trycast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.use_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.binary": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.function_fallback_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.func": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_args": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.text_width": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_time": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.op_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.naked_property": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_operation": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tag_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.token_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.joinhint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.kwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.when_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.merge_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.helper": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.helper.AutoName": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 25}, "sqlglot.helper.seq_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 27}, "sqlglot.helper.ensure_list": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.ensure_collection": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.csv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 55}, "sqlglot.helper.subclasses": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 84}, "sqlglot.helper.apply_index_offset": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 88}, "sqlglot.helper.camel_to_snake_case": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 16}, "sqlglot.helper.while_changing": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 58}, "sqlglot.helper.tsort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 53}, "sqlglot.helper.open_file": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 19}, "sqlglot.helper.csv_reader": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 53}, "sqlglot.helper.find_new_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 50}, "sqlglot.helper.object_to_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 12}, "sqlglot.helper.split_num_words": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 312}, "sqlglot.helper.is_iterable": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 132}, "sqlglot.helper.flatten": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 195}, "sqlglot.helper.count_params": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 26}, "sqlglot.helper.dict_depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 194}, "sqlglot.helper.first": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 16}, "sqlglot.lineage": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.to_html": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.lineage.lineage": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 341, "bases": 0, "doc": 114}, "sqlglot.lineage.LineageHTML": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.lineage.LineageHTML.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 3}, "sqlglot.optimizer": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.annotate_types": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 42, "bases": 0, "doc": 331}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.canonicalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 46}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.coerce_type": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 166}, "sqlglot.optimizer.eliminate_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 195}, "sqlglot.optimizer.eliminate_joins.join_condition": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 46}, "sqlglot.optimizer.eliminate_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 276}, "sqlglot.optimizer.expand_laterals": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 188}, "sqlglot.optimizer.expand_multi_table_selects": {"qualname": 0, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"qualname": 4, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 101}, "sqlglot.optimizer.isolate_table_selects": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 172}, "sqlglot.optimizer.merge_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 272}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 32, "bases": 0, "doc": 177}, "sqlglot.optimizer.normalize.normalized": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 171}, "sqlglot.optimizer.normalize.distributive_law": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 39}, "sqlglot.optimizer.optimize_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 132}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.normalize": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.other_table_names": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer.optimize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 669, "bases": 0, "doc": 223}, "sqlglot.optimizer.pushdown_predicates": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 186}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 20}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 31}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 187}, "sqlglot.optimizer.qualify_columns": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 209}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_columns.Resolver": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 27}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 50}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"qualname": 4, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_tables": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 190}, "sqlglot.optimizer.scope": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 5}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.CTE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UNION": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 328}, "sqlglot.optimizer.scope.Scope.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.clear_cache": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.branch": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.optimizer.scope.Scope.walk": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.find": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 97}, "sqlglot.optimizer.scope.Scope.find_all": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 90}, "sqlglot.optimizer.scope.Scope.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 63}, "sqlglot.optimizer.scope.Scope.tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.ctes": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.derived_tables": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 43}, "sqlglot.optimizer.scope.Scope.udtfs": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.subqueries": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 44}, "sqlglot.optimizer.scope.Scope.columns": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 36}, "sqlglot.optimizer.scope.Scope.selected_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 69}, "sqlglot.optimizer.scope.Scope.cte_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.selects": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.external_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 35}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 22}, "sqlglot.optimizer.scope.Scope.join_hints": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 30}, "sqlglot.optimizer.scope.Scope.source_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.is_subquery": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.is_union": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_cte": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.scope.Scope.is_root": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_udtf": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.rename_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.add_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.remove_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.traverse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 28}, "sqlglot.optimizer.scope.Scope.ref_count": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 34}, "sqlglot.optimizer.scope.traverse_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 330}, "sqlglot.optimizer.scope.build_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 41}, "sqlglot.optimizer.scope.walk_in_scope": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 83}, "sqlglot.optimizer.simplify": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 138}, "sqlglot.optimizer.simplify.rewrite_between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 31}, "sqlglot.optimizer.simplify.simplify_not": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 25}, "sqlglot.optimizer.simplify.flatten": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 24}, "sqlglot.optimizer.simplify.simplify_connectors": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_compliments": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 19}, "sqlglot.optimizer.simplify.uniq_sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 23}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 58}, "sqlglot.optimizer.simplify.simplify_literals": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify_parens": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_where_true": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.always_true": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_complement": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.eval_boolean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_date": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_interval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.date_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.boolean_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 227}, "sqlglot.optimizer.unnest_subqueries.unnest": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.parser": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parser.parse_var_map": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 174}, "sqlglot.parser.Parser.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 87, "bases": 0, "doc": 70}, "sqlglot.parser.Parser.parse_into": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 159, "bases": 0, "doc": 111}, "sqlglot.parser.Parser.check_errors": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 16}, "sqlglot.parser.Parser.raise_error": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 57, "bases": 0, "doc": 22}, "sqlglot.parser.Parser.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 89, "bases": 0, "doc": 74}, "sqlglot.parser.Parser.validate_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 57}, "sqlglot.planner": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.planner.Step": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Step.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Step.add_dependency": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.planner.Step.to_s": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.planner.Scan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Scan.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Join.from_joins": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.planner.Aggregate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 83, "bases": 0, "doc": 3}, "sqlglot.planner.SetOperation.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.schema.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 8}, "sqlglot.schema.Schema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 57}, "sqlglot.schema.Schema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 56}, "sqlglot.schema.Schema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 56}, "sqlglot.schema.Schema.supported_table_args": {"qualname": 4, "fullname": 6, "annotation": 3, "default_value": 0, "signature": 0, "bases": 0, "doc": 16}, "sqlglot.schema.AbstractMappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 87}, "sqlglot.schema.AbstractMappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 139}, "sqlglot.schema.MappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 128, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 60}, "sqlglot.schema.MappingSchema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 56}, "sqlglot.schema.MappingSchema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 56}, "sqlglot.schema.ensure_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.schema.ensure_column_mapping": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.schema.flatten_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 3}, "sqlglot.serde": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.serde.dump": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 12}, "sqlglot.serde.load": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 16}, "sqlglot.time": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.time.format_time": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 108}, "sqlglot.tokens": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.tokens.TokenType.L_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLUS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DCOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMICOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BACKSLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DPIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CARET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TILDA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LR_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOLLAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARAMETER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATIONAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_START": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_END": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SPACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BREAK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NUMBER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SCHEMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HEX_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BYTE_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOOLEAN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FLOAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOUBLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NVARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARBINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSONB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UUID": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOMETRY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HLLSKETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HSTORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SUPER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.XML": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLMONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWVERSION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IMAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARIANT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OBJECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALIAS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALWAYS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANTI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.APPLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARRAY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASOF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BEGIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BETWEEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOTH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BUCKET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASCADE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLLATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMAND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMPOUND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CONSTRAINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CREATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CROSS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CUBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DEFAULT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DELETE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESCRIBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DIV": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DROP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ELSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.END": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ESCAPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXCEPT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXECUTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXISTS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FALSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FILTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FINAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FIRST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOLLOWING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FORMAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FROM": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FUNCTION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOBAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUP_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HAVING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INDEX": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INNER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INSERT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERSECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERVAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTO": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTRODUCER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IRLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ISNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LANGUAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LATERAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LAZY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEADING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEFT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOAD_DATA": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOCAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MAP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATERIALIZED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MERGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MOD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATURAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NO_ACTION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOTNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLS_LAST": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OFFSET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ONLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OPTIONS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDERED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDINALITY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUT_OF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERWRITE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PERCENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRECEDING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROCEDURE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROPERTIES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUALIFY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUOTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RANGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RECURSIVE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REPLACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RETURNING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REFERENCES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RIGHT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLBACK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLUP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SELECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEPARATOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SHOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SOME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SORTKEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SORT_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRUCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEMPORARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TOP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.THEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRAILING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNBOUNDED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNCACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNLOGGED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNNEST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNPIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UPDATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VALUES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VIEW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VOLATILE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHERE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WINDOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 15, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.var": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Tokenizer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.tokenize": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.transforms.unalias_group": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 146}, "sqlglot.transforms.eliminate_distinct_on": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 66}, "sqlglot.transforms.remove_precision_parameterized_types": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 33}, "sqlglot.transforms.preprocess": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 144, "bases": 0, "doc": 88}, "sqlglot.transforms.delegate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 29}, "sqlglot.trie": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.trie.new_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 185}, "sqlglot.trie.in_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 299}}, "length": 1678, "save": true}, "index": {"qualname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 48, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}}, "df": 6}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 21}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 9, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 28}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 5}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}}, "df": 5}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 5}}}}}}}}, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 13, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 36, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 240, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}}, "df": 6}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 11, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 9, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 2}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 13}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 5}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 7, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}}, "df": 9}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 6}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}}, "df": 4}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 31, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}}, "df": 4}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TableFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 14, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 1, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 285}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 7}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}}, "df": 9}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 4}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 59, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 2}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 5}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 47, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 10}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 12}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 6}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 3}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 6}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 33, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 5}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 60}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 8}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 21}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 4}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}}, "df": 5}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 7}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 22, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 6, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 9, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 6}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 12, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}}, "df": 9}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}}, "df": 13}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Greatest": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 269}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 6}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}}, "df": 14, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 4}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}}, "df": 10}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 42, "s": {"docs": {"sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 8}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}, "s": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 2}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 9}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 3}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 2}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Least": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 2}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}}, "df": 8}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 6}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 12}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 5}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 4, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 3}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}}, "df": 6}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Quantiles": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.QuantileIf": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 4}}}}}}, "fullname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 48, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 345, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 1678, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 7}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 24, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 44, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 11, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 4, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 9, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 2}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 11}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}}, "df": 14}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 19}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 7}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 7}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 21}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 9, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.reset": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}}, "df": 30}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 5}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 7, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 129}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 6}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 5}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 3}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.append": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.pop": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 42, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}}, "df": 5}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TableFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 14, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 1, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 295}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 285}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.4142135623730951}}, "df": 9}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 10}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 13, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 4}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 59, "s": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 6}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 111, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 6}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 60}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 8}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 58, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 190}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}}, "df": 15}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 4}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 2}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 5}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 47, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 14}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.filter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.sort": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_row": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_index": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 13}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 6}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 3}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 5}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 7}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 7}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 22, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}}, "df": 2, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 6, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 9, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 6}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 12, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}}, "df": 9}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}}, "df": 13}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Greatest": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.create_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.index_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.property_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.var_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.into_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.from_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.group_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.having_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.null_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.star_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.where_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.between_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.all_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.any_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.case_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.check_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.return_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.not_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.add_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.and_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.command_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.div_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.is_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.like_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.or_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.use_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.token_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.when_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.4142135623730951}}, "df": 270}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 6}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}}, "df": 14, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}}, "df": 12}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 42, "s": {"docs": {"sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 559}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}}, "df": 5}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 59}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 8}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 10}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 18}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 9}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 3}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 2}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 3}}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Least": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 21}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}}, "df": 8, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 2}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1.4142135623730951}}, "df": 9}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 6}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 13}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 5}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 3}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}}, "df": 13}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Quantiles": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.QuantileIf": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 4}}}}}}, "annotation": {"root": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}}, "df": 10, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}}}}, "default_value": {"root": {"1": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}}, "df": 1}, "6": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 375, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 375, "e": {"docs": {"sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 8}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 1}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 6}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {"sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}}, "df": 1, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 375, "e": {"docs": {"sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 20}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "v": {"docs": {"sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}}, "df": 1, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 368}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}}, "df": 2}}}}, "y": {"docs": {"sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}}, "df": 7, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 5}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}}, "df": 2}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}}, "df": 1}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}}, "df": 2, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 3, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 53}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 284}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4}}}}}}}}}, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "q": {"docs": {"sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}}, "df": 4, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {"sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}}, "df": 1}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}}, "df": 1}}, "y": {"docs": {"sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 3}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}}, "df": 1}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 1}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}}, "df": 2}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}}, "df": 2, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}}, "df": 1}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 4}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "signature": {"root": {"0": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5, "x": {"7": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "b": {"8": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"0": {"docs": {}, "df": 0, "e": {"8": {"docs": {}, "df": 0, "c": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}}}, "d": {"6": {"3": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "e": {"1": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "c": {"1": {"6": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"5": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"2": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "f": {"0": {"1": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "c": {"9": {"docs": {}, "df": 0, "b": {"1": {"3": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "c": {"1": {"docs": {}, "df": 0, "e": {"1": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "2": {"2": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"2": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"docs": {}, "df": 0, "d": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "docs": {}, "df": 0}}}}, "docs": {}, "df": 0}}, "1": {"0": {"0": {"docs": {"sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"8": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "4": {"0": {"5": {"1": {"2": {"2": {"0": {"9": {"2": {"8": {"3": {"6": {"0": {"0": {"docs": {"sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"1": {"3": {"8": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"5": {"9": {"2": {"9": {"6": {"docs": {"sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"1": {"8": {"8": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"1": {"3": {"3": {"2": {"4": {"1": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"5": {"7": {"6": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"7": {"6": {"0": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"3": {"0": {"2": {"2": {"4": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"4": {"5": {"6": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"5": {"6": {"3": {"5": {"2": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"0": {"2": {"8": {"6": {"4": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"3": {"3": {"9": {"3": {"6": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"8": {"4": {"0": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"0": {"9": {"6": {"8": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"1": {"8": {"7": {"8": {"4": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"2": {"8": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"3": {"4": {"0": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"3": {"2": {"7": {"6": {"8": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"5": {"1": {"3": {"6": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"1": {"8": {"1": {"8": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"1": {"2": {"2": {"5": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"2": {"3": {"5": {"2": {"0": {"docs": {"sqlglot.dataframe.sql.Column.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"3": {"7": {"2": {"6": {"4": {"0": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"8": {"9": {"7": {"1": {"2": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"9": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 2}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 2}, "sqlglot.dataframe.sql.Column.between": {"tf": 2}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 2}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 2}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 36}, "docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}, "6": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "8": {"0": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot.parse": {"tf": 10.099504938362077}, "sqlglot.parse_one": {"tf": 12.727922061357855}, "sqlglot.transpile": {"tf": 14}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 6}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 12.806248474865697}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 14.2828568570857}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 6.4031242374328485}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 12.041594578792296}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 7.14142842854285}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 10}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 13.19090595827292}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 5.0990195135927845}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 8.12403840463596}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 8}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 9.327379053088816}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 6.782329983125268}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 9.16515138991168}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 8.602325267042627}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 7.0710678118654755}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 7.54983443527075}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 8.831760866327848}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 9.797958971132712}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 8.54400374531753}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.Column.copy": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.alias": {"tf": 6}, "sqlglot.dataframe.sql.Column.asc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.when": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 6}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.cast": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 6}, "sqlglot.dataframe.sql.Column.like": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.substr": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.Column.isin": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.between": {"tf": 8.660254037844387}, "sqlglot.dataframe.sql.Column.over": {"tf": 7.211102550927978}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 10.908712114635714}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 12.083045973594572}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 5.744562646538029}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 6}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 10}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 4.795831523312719}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 6.557438524302}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 7.615773105863909}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 7.745966692414834}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 9.273618495495704}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 7.615773105863909}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 10.099504938362077}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 5.5677643628300215}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.rename_func": {"tf": 6.928203230275509}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.if_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 8.48528137423857}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 8.660254037844387}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 8}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 4.898979485566356}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.trim_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 4}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 6.6332495807108}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 5.291502622129181}, "sqlglot.diff.Insert.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Remove.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Move.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Update.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.Keep.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.diff": {"tf": 12.96148139681572}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 5.656854249492381}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 12.727922061357855}, "sqlglot.errors.ParseError.__init__": {"tf": 6.48074069840786}, "sqlglot.errors.ParseError.new": {"tf": 13.038404810405298}, "sqlglot.errors.concat_messages": {"tf": 5.385164807134504}, "sqlglot.errors.merge_errors": {"tf": 6.48074069840786}, "sqlglot.executor.execute": {"tf": 12.727922061357855}, "sqlglot.executor.context.Context.__init__": {"tf": 7.416198487095663}, "sqlglot.executor.context.Context.eval": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.context.Context.table_iter": {"tf": 7.681145747868608}, "sqlglot.executor.context.Context.filter": {"tf": 4}, "sqlglot.executor.context.Context.sort": {"tf": 4}, "sqlglot.executor.context.Context.set_row": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_index": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_range": {"tf": 5.291502622129181}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.env.filter_nulls": {"tf": 4.242640687119285}, "sqlglot.executor.env.null_if_any": {"tf": 3.4641016151377544}, "sqlglot.executor.env.str_position": {"tf": 4.69041575982343}, "sqlglot.executor.env.substring": {"tf": 5.0990195135927845}, "sqlglot.executor.env.cast": {"tf": 3.7416573867739413}, "sqlglot.executor.env.ordered": {"tf": 4.242640687119285}, "sqlglot.executor.env.interval": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 4.47213595499958}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 3.1622776601683795}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 4.795831523312719}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 4.69041575982343}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 4.242640687119285}, "sqlglot.executor.table.Table.__init__": {"tf": 4.898979485566356}, "sqlglot.executor.table.Table.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.table.Table.append": {"tf": 3.7416573867739413}, "sqlglot.executor.table.Table.pop": {"tf": 3.1622776601683795}, "sqlglot.executor.table.TableIter.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RowReader.__init__": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.__init__": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.text": {"tf": 4}, "sqlglot.expressions.Expression.copy": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.append": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.set": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.find": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_all": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 4}, "sqlglot.expressions.Expression.walk": {"tf": 5.0990195135927845}, "sqlglot.expressions.Expression.dfs": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.bfs": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.flatten": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.sql": {"tf": 9.055385138137417}, "sqlglot.expressions.Expression.transform": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.replace": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.pop": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.assert_is": {"tf": 3.872983346207417}, "sqlglot.expressions.Expression.error_messages": {"tf": 6}, "sqlglot.expressions.Expression.dump": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.load": {"tf": 3.7416573867739413}, "sqlglot.expressions.Condition.and_": {"tf": 5.477225575051661}, "sqlglot.expressions.Condition.or_": {"tf": 5.477225575051661}, "sqlglot.expressions.Condition.not_": {"tf": 3.1622776601683795}, "sqlglot.expressions.Unionable.union": {"tf": 6}, "sqlglot.expressions.Unionable.intersect": {"tf": 6}, "sqlglot.expressions.Unionable.except_": {"tf": 6}, "sqlglot.expressions.Literal.number": {"tf": 4.898979485566356}, "sqlglot.expressions.Literal.string": {"tf": 4.898979485566356}, "sqlglot.expressions.Join.on": {"tf": 6.782329983125268}, "sqlglot.expressions.Join.using": {"tf": 6.782329983125268}, "sqlglot.expressions.Properties.from_dict": {"tf": 4.898979485566356}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 6}, "sqlglot.expressions.Subqueryable.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Subqueryable.with_": {"tf": 8.06225774829855}, "sqlglot.expressions.Union.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Union.select": {"tf": 12}, "sqlglot.expressions.Select.from_": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.group_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.order_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.sort_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.cluster_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.offset": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.select": {"tf": 12}, "sqlglot.expressions.Select.lateral": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.join": {"tf": 9.797958971132712}, "sqlglot.expressions.Select.where": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.having": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.window": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.distinct": {"tf": 6}, "sqlglot.expressions.Select.ctas": {"tf": 7.745966692414834}, "sqlglot.expressions.Select.lock": {"tf": 7.14142842854285}, "sqlglot.expressions.Subquery.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.DataType.build": {"tf": 11.357816691600547}, "sqlglot.expressions.DataType.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.from_arg_list": {"tf": 3.7416573867739413}, "sqlglot.expressions.Func.sql_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.sql_name": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 3.1622776601683795}, "sqlglot.expressions.Cast.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.maybe_parse": {"tf": 14.696938456699069}, "sqlglot.expressions.union": {"tf": 6}, "sqlglot.expressions.intersect": {"tf": 6}, "sqlglot.expressions.except_": {"tf": 6}, "sqlglot.expressions.select": {"tf": 10.44030650891055}, "sqlglot.expressions.from_": {"tf": 6}, "sqlglot.expressions.update": {"tf": 7.810249675906654}, "sqlglot.expressions.delete": {"tf": 6.48074069840786}, "sqlglot.expressions.condition": {"tf": 5.830951894845301}, "sqlglot.expressions.and_": {"tf": 6}, "sqlglot.expressions.or_": {"tf": 6}, "sqlglot.expressions.not_": {"tf": 5.830951894845301}, "sqlglot.expressions.paren": {"tf": 4.47213595499958}, "sqlglot.expressions.to_identifier": {"tf": 4.242640687119285}, "sqlglot.expressions.to_interval": {"tf": 6.164414002968976}, "sqlglot.expressions.to_table": {"tf": 7.745966692414834}, "sqlglot.expressions.to_column": {"tf": 6.708203932499369}, "sqlglot.expressions.alias_": {"tf": 13.416407864998739}, "sqlglot.expressions.subquery": {"tf": 5.656854249492381}, "sqlglot.expressions.column": {"tf": 11.575836902790225}, "sqlglot.expressions.cast": {"tf": 9.16515138991168}, "sqlglot.expressions.table_": {"tf": 7.54983443527075}, "sqlglot.expressions.values": {"tf": 10.44030650891055}, "sqlglot.expressions.var": {"tf": 6.928203230275509}, "sqlglot.expressions.rename_table": {"tf": 7.745966692414834}, "sqlglot.expressions.convert": {"tf": 4.47213595499958}, "sqlglot.expressions.replace_children": {"tf": 3.7416573867739413}, "sqlglot.expressions.column_table_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.table_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.replace_tables": {"tf": 3.7416573867739413}, "sqlglot.expressions.replace_placeholders": {"tf": 4.69041575982343}, "sqlglot.expressions.expand": {"tf": 8.306623862918075}, "sqlglot.expressions.func": {"tf": 10.04987562112089}, "sqlglot.expressions.true": {"tf": 2.6457513110645907}, "sqlglot.expressions.false": {"tf": 2.6457513110645907}, "sqlglot.expressions.null": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator.__init__": {"tf": 15.033296378372908}, "sqlglot.generator.Generator.generate": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.unsupported": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.sep": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.seg": {"tf": 6}, "sqlglot.generator.Generator.pad_comment": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.maybe_comment": {"tf": 6}, "sqlglot.generator.Generator.wrap": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.no_identify": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.indent": {"tf": 9.327379053088816}, "sqlglot.generator.Generator.sql": {"tf": 8.94427190999916}, "sqlglot.generator.Generator.uncache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.characterset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columndef_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.create_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 6}, "sqlglot.generator.Generator.with_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.directory_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.delete_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.drop_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fetch_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.filter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.index_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.identifier_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.national_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.root_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties": {"tf": 9.797958971132712}, "sqlglot.generator.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.locate_properties": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.property_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.insert_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.introducer_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.table_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pivot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tuple_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.var_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.into_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.from_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.group_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.having_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.join_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lambda_sql": {"tf": 6.855654600401044}, "sqlglot.generator.Generator.lateral_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.limit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lock_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.literal_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.null_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.boolean_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.order_sql": {"tf": 6.48074069840786}, "sqlglot.generator.Generator.cluster_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distribute_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sort_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ordered_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.generator.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.schema_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.star_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.parameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.subquery_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.qualify_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unnest_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.where_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.window_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 6.557438524302}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.between_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bracket_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.all_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.any_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.exists_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.case_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.constraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.extract_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trim_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.concat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.check_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unique_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.return_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.reference_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.paren_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.not_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.alias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.aliases_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.add_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.and_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.connector_sql": {"tf": 6}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.collate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.command_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.commit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rollback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altertable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distinct_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.div_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distance_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.eq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.escape_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.glob_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilike_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.is_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.like_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.similarto_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mul_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.or_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.slice_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sub_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trycast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.use_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.binary": {"tf": 6}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.func": {"tf": 7.483314773547883}, "sqlglot.generator.Generator.format_args": {"tf": 6.708203932499369}, "sqlglot.generator.Generator.text_width": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.format_time": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.expressions": {"tf": 10.677078252031311}, "sqlglot.generator.Generator.op_expressions": {"tf": 7.3484692283495345}, "sqlglot.generator.Generator.naked_property": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_operation": {"tf": 6}, "sqlglot.generator.Generator.tag_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.token_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.when_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.merge_sql": {"tf": 5.291502622129181}, "sqlglot.helper.seq_get": {"tf": 6.164414002968976}, "sqlglot.helper.ensure_list": {"tf": 3.1622776601683795}, "sqlglot.helper.ensure_collection": {"tf": 3.1622776601683795}, "sqlglot.helper.csv": {"tf": 5.477225575051661}, "sqlglot.helper.subclasses": {"tf": 9.38083151964686}, "sqlglot.helper.apply_index_offset": {"tf": 6.6332495807108}, "sqlglot.helper.camel_to_snake_case": {"tf": 4}, "sqlglot.helper.while_changing": {"tf": 8}, "sqlglot.helper.tsort": {"tf": 6.324555320336759}, "sqlglot.helper.open_file": {"tf": 3.872983346207417}, "sqlglot.helper.csv_reader": {"tf": 4.898979485566356}, "sqlglot.helper.find_new_name": {"tf": 5.385164807134504}, "sqlglot.helper.object_to_dict": {"tf": 4.69041575982343}, "sqlglot.helper.split_num_words": {"tf": 7.615773105863909}, "sqlglot.helper.is_iterable": {"tf": 4}, "sqlglot.helper.flatten": {"tf": 6.082762530298219}, "sqlglot.helper.count_params": {"tf": 4}, "sqlglot.helper.dict_depth": {"tf": 4}, "sqlglot.helper.first": {"tf": 5}, "sqlglot.lineage.Node.__init__": {"tf": 9}, "sqlglot.lineage.Node.walk": {"tf": 5}, "sqlglot.lineage.Node.to_html": {"tf": 5.0990195135927845}, "sqlglot.lineage.lineage": {"tf": 16.522711641858304}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 10.44030650891055}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 5.830951894845301}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 5.291502622129181}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 3.7416573867739413}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 5.744562646538029}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 5.744562646538029}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 5.744562646538029}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 3.1622776601683795}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 4.242640687119285}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3.1622776601683795}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalize": {"tf": 5.0990195135927845}, "sqlglot.optimizer.normalize.normalized": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 4.242640687119285}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 3.7416573867739413}, "sqlglot.optimizer.optimizer.optimize": {"tf": 22.40535650240808}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.1622776601683795}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 3.7416573867739413}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 4.242640687119285}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 3.1622776601683795}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 5.744562646538029}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 4.69041575982343}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 5.830951894845301}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 8.06225774829855}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.find": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.build_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 5.744562646538029}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.flatten": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.always_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.is_complement": {"tf": 3.7416573867739413}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.extract_date": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.date_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 4.69041575982343}, "sqlglot.parser.parse_var_map": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.__init__": {"tf": 11.269427669584644}, "sqlglot.parser.Parser.reset": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.parse": {"tf": 8.426149773176359}, "sqlglot.parser.Parser.parse_into": {"tf": 11.313708498984761}, "sqlglot.parser.Parser.check_errors": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser.raise_error": {"tf": 6.855654600401044}, "sqlglot.parser.Parser.expression": {"tf": 8.54400374531753}, "sqlglot.parser.Parser.validate_expression": {"tf": 7.0710678118654755}, "sqlglot.planner.Plan.__init__": {"tf": 4.47213595499958}, "sqlglot.planner.Step.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Step.add_dependency": {"tf": 5.291502622129181}, "sqlglot.planner.Step.to_s": {"tf": 5.0990195135927845}, "sqlglot.planner.Scan.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Join.from_joins": {"tf": 8.888194417315589}, "sqlglot.planner.SetOperation.__init__": {"tf": 8.306623862918075}, "sqlglot.planner.SetOperation.from_expression": {"tf": 8.602325267042627}, "sqlglot.schema.Schema.add_table": {"tf": 9.539392014169456}, "sqlglot.schema.Schema.column_names": {"tf": 7.416198487095663}, "sqlglot.schema.Schema.get_column_type": {"tf": 7.745966692414834}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 4.795831523312719}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 5.744562646538029}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 8.48528137423857}, "sqlglot.schema.MappingSchema.__init__": {"tf": 10.295630140987}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 6.164414002968976}, "sqlglot.schema.MappingSchema.copy": {"tf": 5.0990195135927845}, "sqlglot.schema.MappingSchema.add_table": {"tf": 9.539392014169456}, "sqlglot.schema.MappingSchema.column_names": {"tf": 7.416198487095663}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 8.06225774829855}, "sqlglot.schema.ensure_schema": {"tf": 4.898979485566356}, "sqlglot.schema.ensure_column_mapping": {"tf": 7.483314773547883}, "sqlglot.schema.flatten_schema": {"tf": 7.54983443527075}, "sqlglot.serde.dump": {"tf": 11.045361017187261}, "sqlglot.serde.load": {"tf": 11.045361017187261}, "sqlglot.time.format_time": {"tf": 7.810249675906654}, "sqlglot.tokens.Token.__init__": {"tf": 9}, "sqlglot.tokens.Token.number": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.string": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.identifier": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.var": {"tf": 5.291502622129181}, "sqlglot.tokens.Tokenizer.reset": {"tf": 3.4641016151377544}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 5.744562646538029}, "sqlglot.transforms.unalias_group": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 5.744562646538029}, "sqlglot.transforms.preprocess": {"tf": 10.816653826391969}, "sqlglot.transforms.delegate": {"tf": 4}, "sqlglot.trie.new_trie": {"tf": 4.898979485566356}, "sqlglot.trie.in_trie": {"tf": 6.244997998398398}}, "df": 692, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 108, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1.7320508075688772}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 3}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 3}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2.23606797749979}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2.449489742783178}}, "df": 460}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 2.449489742783178}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 2}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 386, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}}, "df": 1}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 4}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.star_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 12}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 477}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.4142135623730951}}, "df": 24, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16}}}}}}, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 9}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 18}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 7}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.sort_sql": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 5, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.rollback_sql": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}, "w": {"docs": {"sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 67}}, "t": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 2}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.unique_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.uncache_sql": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.generator.Generator.use_sql": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 2.6457513110645907}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.expressions.Expression.sql": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.__init__": {"tf": 2.23606797749979}}, "df": 54, "s": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}}, "df": 17}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 36}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 9}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2.23606797749979}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {"sqlglot.generator.Generator.div_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 89, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 13}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {"sqlglot.optimizer.simplify.date_literal": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "g": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}}, "df": 3}}}}, "b": {"docs": {"sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.drop_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.dpipe_sql": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.dot_sql": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.helper.first": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 5, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 11}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 49}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 27, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 4}}}}, "g": {"docs": {"sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 1}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 5}}}, "o": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 7, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 10}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 3.1622776601683795}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 2}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 124, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 40}}}}}}, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 26}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.national_sql": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.generator.Generator.neq_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}}, "df": 2}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 52}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 57}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}}, "df": 11}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {"sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "r": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.ordered_sql": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 53}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.like_sql": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 5, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.limit_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 26, "e": {"docs": {"sqlglot.generator.Generator.lte_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {"sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}}, "df": 5, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Plan.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 365, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 355}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.generator.Generator.exists_sql": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.extract_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 6}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 7}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {"sqlglot.generator.Generator.eq_sql": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.in_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 33, "o": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}}, "df": 3}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 3}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.introducer_sql": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}}, "df": 3}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}}, "df": 2}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.generator.Generator.is_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.collate_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 18}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.when": {"tf": 2}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.substr": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 49, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 8}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 5}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.constraint_sql": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.concat_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 27}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.command_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.commit_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 30}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 15}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}}, "df": 4}, "e": {"docs": {"sqlglot.generator.Generator.case_sql": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.cache_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}}, "df": 3}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.check_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 9}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.generator.Generator.when_sql": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 35, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.boolean_sql": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bracket_sql": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.binary": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.between_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19}}}}}}}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 2}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "x": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 2}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 27, "e": {"docs": {"sqlglot.generator.Generator.gte_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 24}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.glob_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 22}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}}, "df": 3, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.filter_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.fetch_sql": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 17, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 4}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.parameter_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.partition_sql": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}}, "df": 2}}, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}}, "df": 11}}}, "y": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 3}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.placeholder_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.hint_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.having_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 31}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}}, "df": 20}, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.all_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.aliases_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 17}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}}, "df": 15}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.add_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 7, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.helper.open_file": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}}, "df": 4}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 3}}}}}}}}}, "bases": {"root": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 81, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 6}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}}, "df": 5}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}}, "df": 15, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}}, "df": 32}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 14}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 18}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 17}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}}, "df": 17}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}}, "df": 18}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 43}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 20}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "~": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}}, "df": 37}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.4142135623730951}}, "df": 3}}}, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}}, "df": 94}}}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}, "m": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {"sqlglot.schema.Schema": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 21}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 13}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 18}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TryCast": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}}, "df": 4}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}}, "df": 3}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}}, "df": 118}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 3}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}, "doc": {"root": {"0": {"0": {"0": {"9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"4": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "5": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"5": {"4": {"5": {"5": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"0": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}}}}, "2": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"2": {"8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"1": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"1": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"5": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"7": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "5": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 6.48074069840786}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 38, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "1": {"0": {"0": {"0": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "2": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "b": {"1": {"4": {"2": {"0": {"0": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"0": {"4": {"0": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}}, "df": 4, "^": {"1": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "1": {"4": {"5": {"docs": {}, "df": 0, "/": {"2": {"6": {"4": {"2": {"9": {"3": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "2": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "6": {"3": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "4": {"1": {"3": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"1": {"8": {"0": {"8": {"8": {"0": {"2": {"8": {"2": {"9": {"5": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "9": {"8": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 6}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}}, "2": {"0": {"0": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "4": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "5": {"1": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"4": {"2": {"9": {"8": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 2}, "9": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43}, "3": {"1": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}, "7": {"7": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 6.855654600401044}, "sqlglot.dataframe": {"tf": 7.0710678118654755}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 4}, "sqlglot.expressions.subquery": {"tf": 2.8284271247461903}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 3.1622776601683795}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 3.7416573867739413}, "sqlglot.trie.in_trie": {"tf": 2.8284271247461903}}, "df": 84}, "docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 48}, "4": {"0": {"0": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"4": {"3": {"4": {"1": {"6": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"9": {"8": {"3": {"1": {"3": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"9": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "9": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 26}, "5": {"0": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 7}, "6": {"0": {"6": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}}, "df": 2, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "7": {"0": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"docs": {}, "df": 0, "\u2013": {"7": {"4": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "6": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "9": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "8": {"0": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}, "9": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "9": {"0": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "7": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 61.318838867023565}, "sqlglot.pretty": {"tf": 1.7320508075688772}, "sqlglot.schema": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 5.916079783099616}, "sqlglot.parse_one": {"tf": 6.324555320336759}, "sqlglot.transpile": {"tf": 7.211102550927978}, "sqlglot.dataframe": {"tf": 48.86716689148246}, "sqlglot.dataframe.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.like": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 21.817424229271428}, "sqlglot.dialects.bigquery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.table_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 50.556898639058154}, "sqlglot.diff.Insert": {"tf": 1.4142135623730951}, "sqlglot.diff.Insert.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Remove": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Update": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Keep": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 11.313708498984761}, "sqlglot.diff.ChangeDistiller": {"tf": 2.6457513110645907}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.7320508075688772}, "sqlglot.errors": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.7320508075688772}, "sqlglot.errors.SqlglotError": {"tf": 1.7320508075688772}, "sqlglot.errors.UnsupportedError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.__init__": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.new": {"tf": 1.7320508075688772}, "sqlglot.errors.TokenError": {"tf": 1.7320508075688772}, "sqlglot.errors.OptimizeError": {"tf": 1.7320508075688772}, "sqlglot.errors.SchemaError": {"tf": 1.7320508075688772}, "sqlglot.errors.ExecuteError": {"tf": 1.7320508075688772}, "sqlglot.errors.concat_messages": {"tf": 1.7320508075688772}, "sqlglot.errors.merge_errors": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 35.11409973215888}, "sqlglot.executor.execute": {"tf": 7}, "sqlglot.executor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 3}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.filter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_row": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_index": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_range": {"tf": 1.7320508075688772}, "sqlglot.executor.env": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.filter_nulls": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 4.58257569495584}, "sqlglot.executor.env.str_position": {"tf": 1.7320508075688772}, "sqlglot.executor.env.substring": {"tf": 1.7320508075688772}, "sqlglot.executor.env.cast": {"tf": 1.7320508075688772}, "sqlglot.executor.env.ordered": {"tf": 1.7320508075688772}, "sqlglot.executor.env.interval": {"tf": 1.7320508075688772}, "sqlglot.executor.python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 11.40175425099138}, "sqlglot.executor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.append": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.pop": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 4}, "sqlglot.expressions.Expression": {"tf": 10.954451150103322}, "sqlglot.expressions.Expression.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.this": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_int": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Expression.copy": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.set": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.depth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_all": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.parent_select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.dfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.bfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unalias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.sql": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.transform": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.replace": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.pop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 9.643650760992955}, "sqlglot.expressions.Expression.error_messages": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.dump": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 9.746794344808963}, "sqlglot.expressions.Condition.or_": {"tf": 9.746794344808963}, "sqlglot.expressions.Condition.not_": {"tf": 7.874007874011811}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DerivedTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 10.723805294763608}, "sqlglot.expressions.Unionable.intersect": {"tf": 10.677078252031311}, "sqlglot.expressions.Unionable.except_": {"tf": 10.723805294763608}, "sqlglot.expressions.UDTF": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Uncache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Create": {"tf": 1.7320508075688772}, "sqlglot.expressions.Describe": {"tf": 1.7320508075688772}, "sqlglot.expressions.Set": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetItem": {"tf": 1.7320508075688772}, "sqlglot.expressions.Show": {"tf": 1.7320508075688772}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSet": {"tf": 1.7320508075688772}, "sqlglot.expressions.With": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithinGroup": {"tf": 1.7320508075688772}, "sqlglot.expressions.CTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableAlias": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitString": {"tf": 1.7320508075688772}, "sqlglot.expressions.HexString": {"tf": 1.7320508075688772}, "sqlglot.expressions.ByteString": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.ColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterColumn": {"tf": 1.7320508075688772}, "sqlglot.expressions.RenameTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Constraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Drop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Filter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Check": {"tf": 1.7320508075688772}, "sqlglot.expressions.Directory": {"tf": 1.7320508075688772}, "sqlglot.expressions.ForeignKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unique": {"tf": 1.7320508075688772}, "sqlglot.expressions.Into": {"tf": 1.7320508075688772}, "sqlglot.expressions.From": {"tf": 1.7320508075688772}, "sqlglot.expressions.Having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hint": {"tf": 1.7320508075688772}, "sqlglot.expressions.JoinHint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Index": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.Introducer": {"tf": 1.7320508075688772}, "sqlglot.expressions.National": {"tf": 1.7320508075688772}, "sqlglot.expressions.LoadData": {"tf": 1.7320508075688772}, "sqlglot.expressions.Partition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Fetch": {"tf": 1.7320508075688772}, "sqlglot.expressions.Group": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lambda": {"tf": 1.7320508075688772}, "sqlglot.expressions.Limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 11.40175425099138}, "sqlglot.expressions.Join.using": {"tf": 11.704699910719626}, "sqlglot.expressions.Lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchRecognize": {"tf": 1.7320508075688772}, "sqlglot.expressions.Final": {"tf": 1.7320508075688772}, "sqlglot.expressions.Offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Order": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cluster": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distribute": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sort": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ordered": {"tf": 1.7320508075688772}, "sqlglot.expressions.Property": {"tf": 1.7320508075688772}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ChecksumProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefinerProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistStyleProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.EngineProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExternalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FallbackProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FileFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FreespaceProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.JournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LanguageProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LocationProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LockingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MaterializedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnCommitProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReturnsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SerdeProperties": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TemporaryProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TransientProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.VolatilityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithDataProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Return": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reference": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 11.832159566199232}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 12.767145334803704}, "sqlglot.expressions.Table": {"tf": 1.7320508075688772}, "sqlglot.expressions.SystemTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 11.090536506409418}, "sqlglot.expressions.Union.select": {"tf": 10.723805294763608}, "sqlglot.expressions.Union.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Except": {"tf": 1.7320508075688772}, "sqlglot.expressions.Intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Update": {"tf": 1.7320508075688772}, "sqlglot.expressions.Values": {"tf": 1.7320508075688772}, "sqlglot.expressions.Var": {"tf": 1.7320508075688772}, "sqlglot.expressions.Schema": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 11.135528725660043}, "sqlglot.expressions.Select.group_by": {"tf": 11.958260743101398}, "sqlglot.expressions.Select.order_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.sort_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.cluster_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.limit": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.offset": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.select": {"tf": 10.246950765959598}, "sqlglot.expressions.Select.lateral": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.join": {"tf": 19.026297590440446}, "sqlglot.expressions.Select.where": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.having": {"tf": 12.288205727444508}, "sqlglot.expressions.Select.window": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 10.04987562112089}, "sqlglot.expressions.Select.ctas": {"tf": 11.357816691600547}, "sqlglot.expressions.Select.lock": {"tf": 14.696938456699069}, "sqlglot.expressions.Select.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.TableSample": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 2.23606797749979}, "sqlglot.expressions.Pivot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Window": {"tf": 1.7320508075688772}, "sqlglot.expressions.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.expressions.Where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Parameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.SessionParameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Placeholder": {"tf": 1.7320508075688772}, "sqlglot.expressions.Null": {"tf": 1.7320508075688772}, "sqlglot.expressions.Boolean": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.PseudoType": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructKwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.All": {"tf": 1.7320508075688772}, "sqlglot.expressions.Any": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exists": {"tf": 1.7320508075688772}, "sqlglot.expressions.Command": {"tf": 1.7320508075688772}, "sqlglot.expressions.Transaction": {"tf": 1.7320508075688772}, "sqlglot.expressions.Commit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Rollback": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.AddConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DropPartition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Binary": {"tf": 1.7320508075688772}, "sqlglot.expressions.Add": {"tf": 1.7320508075688772}, "sqlglot.expressions.Connector": {"tf": 1.7320508075688772}, "sqlglot.expressions.And": {"tf": 1.7320508075688772}, "sqlglot.expressions.Or": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseXor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Div": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.DPipe": {"tf": 1.7320508075688772}, "sqlglot.expressions.EQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distance": {"tf": 1.7320508075688772}, "sqlglot.expressions.Escape": {"tf": 1.7320508075688772}, "sqlglot.expressions.Glob": {"tf": 1.7320508075688772}, "sqlglot.expressions.GT": {"tf": 1.7320508075688772}, "sqlglot.expressions.GTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.IntDiv": {"tf": 1.7320508075688772}, "sqlglot.expressions.Is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Kwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Like": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.LT": {"tf": 1.7320508075688772}, "sqlglot.expressions.LTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mod": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mul": {"tf": 1.7320508075688772}, "sqlglot.expressions.NEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.SimilarTo": {"tf": 1.7320508075688772}, "sqlglot.expressions.Slice": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sub": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unary": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseNot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Not": {"tf": 1.7320508075688772}, "sqlglot.expressions.Paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.Neg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Aliases": {"tf": 1.7320508075688772}, "sqlglot.expressions.AtTimeZone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Bracket": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.In": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.IgnoreNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.RespectNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 4.69041575982343}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1.7320508075688772}, "sqlglot.expressions.AggFunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Abs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Anonymous": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxDistinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Array": {"tf": 1.7320508075688772}, "sqlglot.expressions.GenerateSeries": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayFilter": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySize": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySort": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySum": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Avg": {"tf": 1.7320508075688772}, "sqlglot.expressions.AnyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Cast.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.Collate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TryCast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ceil": {"tf": 1.7320508075688772}, "sqlglot.expressions.Coalesce": {"tf": 1.7320508075688772}, "sqlglot.expressions.Concat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ConcatWs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Count": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDatetime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfWeek": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.WeekOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Extract": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFromParts": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Day": {"tf": 1.7320508075688772}, "sqlglot.expressions.Decode": {"tf": 1.7320508075688772}, "sqlglot.expressions.DiToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Encode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exp": {"tf": 1.7320508075688772}, "sqlglot.expressions.Explode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Floor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Greatest": {"tf": 1.7320508075688772}, "sqlglot.expressions.GroupConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hex": {"tf": 1.7320508075688772}, "sqlglot.expressions.If": {"tf": 1.7320508075688772}, "sqlglot.expressions.IfNull": {"tf": 1.7320508075688772}, "sqlglot.expressions.Initcap": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.Least": {"tf": 1.7320508075688772}, "sqlglot.expressions.Length": {"tf": 1.7320508075688772}, "sqlglot.expressions.Levenshtein": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ln": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log10": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lower": {"tf": 1.7320508075688772}, "sqlglot.expressions.Map": {"tf": 1.7320508075688772}, "sqlglot.expressions.VarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.Matches": {"tf": 2.23606797749979}, "sqlglot.expressions.Max": {"tf": 1.7320508075688772}, "sqlglot.expressions.Min": {"tf": 1.7320508075688772}, "sqlglot.expressions.Month": {"tf": 1.7320508075688772}, "sqlglot.expressions.Nvl2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Posexplode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pow": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileCont": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileDisc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantiles": {"tf": 1.7320508075688772}, "sqlglot.expressions.QuantileIf": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxQuantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReadCSV": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reduce": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpLike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpSplit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Repeat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Round": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowNumber": {"tf": 1.7320508075688772}, "sqlglot.expressions.SafeDivide": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortArray": {"tf": 1.7320508075688772}, "sqlglot.expressions.Split": {"tf": 1.7320508075688772}, "sqlglot.expressions.Substring": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.NumberToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Struct": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sum": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sqrt": {"tf": 1.7320508075688772}, "sqlglot.expressions.Stddev": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevPop": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevSamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.Trim": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unhex": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Upper": {"tf": 1.7320508075688772}, "sqlglot.expressions.Variance": {"tf": 1.7320508075688772}, "sqlglot.expressions.VariancePop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Week": {"tf": 1.7320508075688772}, "sqlglot.expressions.XMLTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Year": {"tf": 1.7320508075688772}, "sqlglot.expressions.Use": {"tf": 1.7320508075688772}, "sqlglot.expressions.Merge": {"tf": 1.7320508075688772}, "sqlglot.expressions.When": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 10.14889156509222}, "sqlglot.expressions.union": {"tf": 10.344080432788601}, "sqlglot.expressions.intersect": {"tf": 10.344080432788601}, "sqlglot.expressions.except_": {"tf": 10.392304845413264}, "sqlglot.expressions.select": {"tf": 9.797958971132712}, "sqlglot.expressions.from_": {"tf": 9.9498743710662}, "sqlglot.expressions.update": {"tf": 12.12435565298214}, "sqlglot.expressions.delete": {"tf": 9.327379053088816}, "sqlglot.expressions.condition": {"tf": 13.92838827718412}, "sqlglot.expressions.and_": {"tf": 9.848857801796104}, "sqlglot.expressions.or_": {"tf": 9.848857801796104}, "sqlglot.expressions.not_": {"tf": 8.831760866327848}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_identifier": {"tf": 5.291502622129181}, "sqlglot.expressions.to_interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 5.196152422706632}, "sqlglot.expressions.to_column": {"tf": 5.291502622129181}, "sqlglot.expressions.alias_": {"tf": 12.649110640673518}, "sqlglot.expressions.subquery": {"tf": 10.198039027185569}, "sqlglot.expressions.column": {"tf": 5.744562646538029}, "sqlglot.expressions.cast": {"tf": 8.888194417315589}, "sqlglot.expressions.table_": {"tf": 5.916079783099616}, "sqlglot.expressions.values": {"tf": 8.888194417315589}, "sqlglot.expressions.var": {"tf": 10.488088481701515}, "sqlglot.expressions.rename_table": {"tf": 4.898979485566356}, "sqlglot.expressions.convert": {"tf": 5}, "sqlglot.expressions.replace_children": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 8.48528137423857}, "sqlglot.expressions.table_name": {"tf": 9.797958971132712}, "sqlglot.expressions.replace_tables": {"tf": 10.44030650891055}, "sqlglot.expressions.replace_placeholders": {"tf": 11.575836902790225}, "sqlglot.expressions.expand": {"tf": 10.770329614269007}, "sqlglot.expressions.func": {"tf": 12.884098726725126}, "sqlglot.expressions.true": {"tf": 1.7320508075688772}, "sqlglot.expressions.false": {"tf": 1.7320508075688772}, "sqlglot.expressions.null": {"tf": 1.7320508075688772}, "sqlglot.generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 11.40175425099138}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 3}, "sqlglot.generator.Generator.unsupported": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sep": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.no_identify": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.indent": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.create_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.index_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.national_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.root_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.table_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.var_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.into_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.from_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.group_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.having_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.join_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.null_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.order_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.star_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.where_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.between_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.all_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.any_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.case_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.check_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.return_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.not_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.add_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.and_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.command_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.div_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.is_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.like_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.or_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.use_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.binary": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.text_width": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_time": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.naked_property": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_operation": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.token_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.when_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.7320508075688772}, "sqlglot.helper": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 2.449489742783178}, "sqlglot.helper.seq_get": {"tf": 3.3166247903554}, "sqlglot.helper.ensure_list": {"tf": 4.795831523312719}, "sqlglot.helper.ensure_collection": {"tf": 5.196152422706632}, "sqlglot.helper.csv": {"tf": 5.291502622129181}, "sqlglot.helper.subclasses": {"tf": 5.744562646538029}, "sqlglot.helper.apply_index_offset": {"tf": 5.477225575051661}, "sqlglot.helper.camel_to_snake_case": {"tf": 2.23606797749979}, "sqlglot.helper.while_changing": {"tf": 5.291502622129181}, "sqlglot.helper.tsort": {"tf": 4.795831523312719}, "sqlglot.helper.open_file": {"tf": 1.7320508075688772}, "sqlglot.helper.csv_reader": {"tf": 5.477225575051661}, "sqlglot.helper.find_new_name": {"tf": 5.291502622129181}, "sqlglot.helper.object_to_dict": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 12.649110640673518}, "sqlglot.helper.is_iterable": {"tf": 8.94427190999916}, "sqlglot.helper.flatten": {"tf": 11.224972160321824}, "sqlglot.helper.count_params": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 11.489125293076057}, "sqlglot.helper.first": {"tf": 2.449489742783178}, "sqlglot.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.to_html": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 6.928203230275509}, "sqlglot.lineage.LineageHTML": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 13.2664991614216}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 4.123105625617661}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 10.198039027185569}, "sqlglot.optimizer.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 10.344080432788601}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 4.58257569495584}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 12.727922061357855}, "sqlglot.optimizer.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 10.63014581273465}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 7.874007874011811}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 9.797958971132712}, "sqlglot.optimizer.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 11.180339887498949}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 10.14889156509222}, "sqlglot.optimizer.normalize.normalized": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 9.591663046625438}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 7.874007874011811}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 7.54983443527075}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 10.344080432788601}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 10.198039027185569}, "sqlglot.optimizer.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 11.575836902790225}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 4.795831523312719}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 10.862780491200215}, "sqlglot.optimizer.scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 9.539392014169456}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 5.744562646538029}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 5.477225575051661}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 3.872983346207417}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 4}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 13.601470508735444}, "sqlglot.optimizer.scope.build_scope": {"tf": 4.69041575982343}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 5.385164807134504}, "sqlglot.optimizer.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 9.643650760992955}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2.6457513110645907}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.always_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 9.899494936611665}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.7320508075688772}, "sqlglot.parser": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_var_map": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 6.082762530298219}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.reset": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 5.291502622129181}, "sqlglot.parser.Parser.parse_into": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.check_errors": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.validate_expression": {"tf": 4.358898943540674}, "sqlglot.planner": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Step.add_dependency": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Join": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.Aggregate": {"tf": 1.7320508075688772}, "sqlglot.planner.Sort": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 7.681145747868608}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 4.358898943540674}, "sqlglot.schema.Schema.column_names": {"tf": 5.477225575051661}, "sqlglot.schema.Schema.get_column_type": {"tf": 5.477225575051661}, "sqlglot.schema.Schema.supported_table_args": {"tf": 2.449489742783178}, "sqlglot.schema.AbstractMappingSchema": {"tf": 4}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 7.211102550927978}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 4.58257569495584}, "sqlglot.schema.MappingSchema.column_names": {"tf": 5.477225575051661}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 5.477225575051661}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 2.23606797749979}, "sqlglot.time": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 7.681145747868608}, "sqlglot.tokens": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.XML": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.number": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.string": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.identifier": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.var": {"tf": 2.23606797749979}, "sqlglot.tokens.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 2.23606797749979}, "sqlglot.transforms": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 9.327379053088816}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.0990195135927845}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 5.477225575051661}, "sqlglot.transforms.delegate": {"tf": 2.6457513110645907}, "sqlglot.trie": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 9.327379053088816}, "sqlglot.trie.in_trie": {"tf": 13.228756555322953}}, "df": 1678, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 56, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 5.5677643628300215}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 2.23606797749979}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 6.48074069840786}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 6.324555320336759}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.23606797749979}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 124, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.4031242374328485}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 5}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.23606797749979}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.23606797749979}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 75, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 3.3166247903554}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 5}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}}, "df": 21}}, "c": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 3}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}}, "df": 3}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 2}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 57}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 6}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 2}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 11}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 11, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 2.6457513110645907}}, "df": 1}}}, "m": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 6}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}}, "df": 6}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 10, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 13, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 11, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.diff": {"tf": 7.937253933193772}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 2}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 22, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}}, "df": 8}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 4, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 25, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 27}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 66, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 3.7416573867739413}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 93, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 24}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}}}, "|": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.delete": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.164414002968976}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.where": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 98, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}}, "df": 2}}, "|": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}}, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 5.916079783099616}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 81, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"1": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 6, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 4.242640687119285}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 21, "s": {"docs": {"sqlglot.schema.Schema": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.605551275463989}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 2}}, "df": 35, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 3.605551275463989}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 4}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 41, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}}, "df": 3}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3}, "y": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 11}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 4}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 8}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 7.54983443527075}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.58257569495584}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 150, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 84, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.first": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 12, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.605551275463989}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 151, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 40, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 41, "s": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 53, "s": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 10}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 2}}}}}}, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2.23606797749979}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 34, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 39}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 19}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}}, "df": 5}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.dataframe": {"tf": 4.47213595499958}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 43, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.tokens.Token.identifier": {"tf": 1.4142135623730951}}, "df": 29, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 26}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}, "s": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.using": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 136}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "\u2019": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot": {"tf": 7.615773105863909}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3}, "sqlglot.diff": {"tf": 8.94427190999916}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 8.660254037844387}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_number": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.to_column": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.7320508075688772}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.Scan.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.SetOperation.from_expression": {"tf": 3.4641016151377544}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 229, "n": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 126, "d": {"docs": {"sqlglot": {"tf": 5.196152422706632}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 7.0710678118654755}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 7.0710678118654755}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 116}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 14}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 29, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "l": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 17}}, "l": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 68, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 54, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 23}, "d": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "g": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 5}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 76, "n": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 2}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 14, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 2}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 174}}}}}}, "s": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 11}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "[": {"0": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "1": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "docs": {}, "df": 0}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 4.47213595499958}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 138, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 17, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot": {"tf": 2}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}}, "df": 16, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 15, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}}}}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 3.872983346207417}}, "df": 1}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 14, "t": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 70, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 7.745966692414834}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 28, "s": {"docs": {"sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 12}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 10, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.23606797749979}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 32}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 23, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1.7320508075688772}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}}, "df": 33}, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "\u00ef": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 51, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 7, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1.4142135623730951}}, "df": 49}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 44, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 2}}, "df": 39}}}}, "^": {"2": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}, "docs": {}, "df": 0}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 6}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}}, "df": 6}}}, "v": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}}, "df": 2}, "s": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 5, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.358898943540674}, "sqlglot.executor.python.Python.Generator": {"tf": 4.358898943540674}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 4.358898943540674}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 49, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 21, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.expressions.delete": {"tf": 2.23606797749979}}, "df": 1}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 5}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.copy": {"tf": 1}}, "df": 1}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 51, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 29, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 2}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 32}}}}}}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 5, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 5}, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 3}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}}, "df": 6}}}}}}, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}}, "df": 5}, "y": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 3}}, "b": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}}, "df": 9, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 79, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 24, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 19}}}}}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 26}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 7, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 3}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 38}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 8}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 24}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 6}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 6}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 11}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 22}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.449489742783178}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 28, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 24, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 2}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 2.8284271247461903}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}}, "df": 7}, "y": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "h": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 18, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}}, "df": 5, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.872983346207417}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 70, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 6}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 66}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 24, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 3.7416573867739413}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.diff": {"tf": 8.48528137423857}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 6.708203932499369}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 3.7416573867739413}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2.6457513110645907}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 2}, "sqlglot.expressions.or_": {"tf": 2}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.6457513110645907}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.23606797749979}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 3.7416573867739413}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 181, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 24}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}}}}}}}, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3}}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 4}, "sqlglot.dataframe": {"tf": 4.358898943540674}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.47213595499958}, "sqlglot.diff": {"tf": 15.066519173319364}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 8.48528137423857}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 4.47213595499958}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.using": {"tf": 3}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.sort_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.offset": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.lateral": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.join": {"tf": 3.3166247903554}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 2.8284271247461903}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3.1622776601683795}, "sqlglot.expressions.union": {"tf": 3.1622776601683795}, "sqlglot.expressions.intersect": {"tf": 3.1622776601683795}, "sqlglot.expressions.except_": {"tf": 3.1622776601683795}, "sqlglot.expressions.select": {"tf": 3}, "sqlglot.expressions.from_": {"tf": 3.3166247903554}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 3}, "sqlglot.expressions.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 3}, "sqlglot.generator.Generator": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.helper.apply_index_offset": {"tf": 2.449489742783178}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.8284271247461903}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.Scan.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 227, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 16}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 2}}, "df": 4, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 8}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 5.744562646538029}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 64}, "n": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot": {"tf": 4.58257569495584}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 6.244997998398398}, "sqlglot.diff.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 169}, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 7.280109889280518}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 33, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.3166247903554}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.8284271247461903}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 2.449489742783178}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2.6457513110645907}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 83, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 22, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 2}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 3}, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 29, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 2.23606797749979}}, "df": 27, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"1": {"docs": {"sqlglot.expressions.Select.join": {"tf": 2}}, "df": 1}, "2": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.8284271247461903}}, "df": 3}, "docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 25}}, "w": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 5}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 30, "s": {"docs": {"sqlglot.dataframe": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 21}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}, "p": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 4, "[": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 3, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 9, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 10}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 12, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}}, "df": 2}}, "[": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 82}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}}, "df": 41}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 83, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}, "g": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"3": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"4": {"3": {"3": {"9": {"2": {"3": {"0": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 10.488088481701515}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 153, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 21}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}}, "df": 34, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 6}}}, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 44, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.parse": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 64, "s": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 63}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 45, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 20}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 5, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 10, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 3}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 24, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 6}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 12}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "p": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.dialects": {"tf": 3.3166247903554}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 19, "r": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 2}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.group_by": {"tf": 3}, "sqlglot.expressions.Select.order_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.sort_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.limit": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.offset": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3}, "sqlglot.expressions.union": {"tf": 2.6457513110645907}, "sqlglot.expressions.intersect": {"tf": 2.6457513110645907}, "sqlglot.expressions.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.condition": {"tf": 2.8284271247461903}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 2.6457513110645907}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 2.23606797749979}, "sqlglot.expressions.replace_placeholders": {"tf": 2.23606797749979}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 2}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.8284271247461903}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2.6457513110645907}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 2}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.6457513110645907}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse_into": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.Scan.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.6457513110645907}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 146, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 86}, "|": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 89, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 20}}}}}, "t": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.449489742783178}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}}, "df": 27, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 27}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 24}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.123105625617661}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 3}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 9}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 9}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 3}}, "df": 1}}}, "u": {"docs": {}, "df": 0, ":": {"8": {"0": {"9": {"0": {"docs": {}, "df": 0, "/": {"1": {"1": {"5": {"docs": {}, "df": 0, "/": {"1": {"docs": {}, "df": 0, "/": {"1": {"9": {"9": {"5": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "c": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 23, "a": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 29, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.values": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 13, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}, "r": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.trie.in_trie": {"tf": 2}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 7}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 36}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 4, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.7416573867739413}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 25}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 13, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 40}}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "b": {"1": {"9": {"3": {"0": {"6": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"8": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 27}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 5}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 19}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 8}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 4}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 2}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 67}}, "l": {"1": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 7, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}}, "df": 3}, "b": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 2.449489742783178}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 2}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2}}, "df": 60, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 29}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}}, "df": 6, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}}, "df": 26}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 26, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 8, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 6, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator": {"tf": 2.6457513110645907}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 23, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 40}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 9}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 24}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2}}, "df": 23, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.cluster_by": {"tf": 2}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1, "v": {"docs": {"sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 2}}, "df": 2}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 3}}}, "b": {"docs": {"sqlglot": {"tf": 4.795831523312719}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 36, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 99, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 6}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 26}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 6}}, "y": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 15, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "s": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 2}}}, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2}, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 80, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}}, "df": 3}, "r": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}}, "df": 5, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 15, "d": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 6}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 57, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1}}, "b": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 5}}}, "u": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 85, "d": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 70}, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 7}}}, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 10}}}, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 23, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}}, "df": 22, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}}, "df": 3}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}}, "df": 1}, "/": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 4}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Update": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 4.69041575982343}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 6.855654600401044}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2.23606797749979}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 84, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}}, "df": 10, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}}, "df": 26, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}}, "df": 23}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}}, "df": 2}}, "l": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 14}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 12}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}}}, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 6.557438524302}, "sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 117, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4, "c": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 35, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 33}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}}, "df": 3, "y": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "\u00e9": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}}, "df": 6}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 10, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 15}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 73}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 9}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 2}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 2}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 54, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 11}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2.23606797749979}}, "df": 4, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 22}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 10}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 44}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 5.196152422706632}}, "df": 1}}}, "f": {"docs": {"sqlglot.diff": {"tf": 6.324555320336759}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "n": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 24}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "r": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 8, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 7}, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}}, "df": 4, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 6}}}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 10, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 164}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 38}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}}, "df": 3}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 25}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 10, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}}, "df": 2}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 12, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"1": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 10, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 5}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 9}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "w": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "\u00e9": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 46, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 72}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 4}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 49}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 18}}, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 51}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 40}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.executor": {"tf": 2}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}}, "df": 4}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}}, "df": 11}}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 5.5677643628300215}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}}, "df": 3}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "k": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.8284271247461903}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.var": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 2.23606797749979}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.23606797749979}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 16, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 2.8284271247461903}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 11}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 2}}}, "\u00e4": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2.23606797749979}}, "df": 2}}, "g": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}}, "df": 5, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}}, "df": 38}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 5.656854249492381}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Identifier.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Literal.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Star.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Cast.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 3.4641016151377544}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.expressions.column_table_names": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.449489742783178}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3}, "sqlglot.helper.is_iterable": {"tf": 2.449489742783178}, "sqlglot.helper.flatten": {"tf": 2.449489742783178}, "sqlglot.helper.dict_depth": {"tf": 3.872983346207417}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 4}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.872983346207417}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 3.4641016151377544}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 2.449489742783178}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.4641016151377544}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 3}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.872983346207417}, "sqlglot.optimizer.simplify.simplify": {"tf": 3}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 2.449489742783178}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 3}}, "df": 95}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 2}}, "df": 13, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 41}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "h": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 14.594519519326424}, "sqlglot.dataframe": {"tf": 10.392304845413264}, "sqlglot.dialects": {"tf": 5.385164807134504}, "sqlglot.diff": {"tf": 5.830951894845301}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.sort_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 5.477225575051661}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 4.47213595499958}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 4}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 3.1622776601683795}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.8284271247461903}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 3.1622776601683795}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2.449489742783178}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 88, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 26, "d": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}, "k": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 6, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}}}, "y": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.8284271247461903}, "sqlglot.planner.Step.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.Scan.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.8284271247461903}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 41, "o": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 7, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "y": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 8}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 7}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 3.7416573867739413}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "q": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 4}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}}, "df": 2}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 19, "n": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 3, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 2}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "f": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}}, "m": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 9, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 39, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 22}, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}}, "df": 7, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 6}, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 7.14142842854285}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 18, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 43}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}}, "df": 1, "s": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 22}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 19}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 23, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "z": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 5, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 11}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 9}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.join": {"tf": 3.7416573867739413}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 17, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 9}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 5}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot": {"tf": 4.898979485566356}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.449489742783178}, "sqlglot.planner.Step.from_expression": {"tf": 4}, "sqlglot.planner.Scan.from_expression": {"tf": 4}, "sqlglot.planner.SetOperation.from_expression": {"tf": 4}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 62, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "z": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 15, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 4}}, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 2}}, "df": 34, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}}, "df": 3}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 2}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 28}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; + /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"sqlglot": {"fullname": "sqlglot", "modulename": "sqlglot", "kind": "module", "doc": "

SQLGlot

\n\n

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.

\n\n

It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.

\n\n

You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.

\n\n

Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.

\n\n

Contributions are very welcome in SQLGlot; read the contribution guide to get started!

\n\n

Table of Contents

\n\n\n\n

Install

\n\n

From PyPI:

\n\n
pip3 install sqlglot\n
\n\n

Or with a local checkout:

\n\n
make install\n
\n\n

Requirements for development (optional):

\n\n
make install-dev\n
\n\n

Get in Touch

\n\n

We'd love to hear from you. Join our community Slack channel!

\n\n

Examples

\n\n

Formatting and Transpiling

\n\n

Easily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\n
\n\n

SQLGlot can even translate custom time formats:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\n
\n\n

As another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL, and then transpile it to Spark, which uses backticks for identifiers and FLOAT instead of REAL:

\n\n
\n
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\n
\n\n
\n
WITH `baz` AS (\n  SELECT\n    `a`,\n    `c`\n  FROM `foo`\n  WHERE\n    `a` = 1\n)\nSELECT\n  `f`.`a`,\n  `b`.`b`,\n  `baz`.`c`,\n  CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n  ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n  ON `f`.`a` = `baz`.`a`\n
\n
\n\n

Comments are also preserved in a best-effort basis when transpiling SQL code:

\n\n
\n
sql = """\n/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), # comment 3\n  y               -- comment 4\nFROM\n  bar /* comment 5 */,\n  tbl #          comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n
\n\n
\n
/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), /* comment 3 */\n  y /* comment 4 */\nFROM bar /* comment 5 */, tbl /*          comment 6 */\n
\n
\n\n

Metadata

\n\n

You can explore SQL with expression helpers to do things like find columns and tables:

\n\n
\n
from sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n    print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n    for projection in select.expressions:\n        print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n    print(table.name)\n
\n
\n\n

Parser Errors

\n\n

When the parser detects an error in the syntax, it raises a ParserError:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\n
\n\n
sqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n  select foo( FROM bar\n              ~~~~\n
\n\n

Structured syntax errors are accessible for programmatic use:

\n\n
\n
import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n
\n
\n\n
\n
[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n
\n
\n\n

Unsupported Errors

\n\n

Presto APPROX_DISTINCT supports the accuracy argument which is not supported in Hive:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\n
\n\n
\n
APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\n
\n\n

Build and Modify SQL

\n\n

SQLGlot supports incrementally building sql expressions:

\n\n
\n
from sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n
\n\n
\n
'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\n
\n\n

You can also modify a parsed tree:

\n\n
\n
from sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n
\n\n
\n
'SELECT x FROM y, z'\n
\n
\n\n

There is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:

\n\n
\n
from sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n    if isinstance(node, exp.Column) and node.name == "a":\n        return parse_one("FUN(a)")\n    return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n
\n\n
\n
'SELECT FUN(a) FROM x'\n
\n
\n\n

SQL Optimizer

\n\n

SQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:

\n\n
\n
import sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n    optimize(\n        sqlglot.parse_one("""\n            SELECT A OR (B OR (C AND D))\n            FROM x\n            WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n        """),\n        schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n    ).sql(pretty=True)\n)\n
\n
\n\n
\n
SELECT\n  (\n    "x"."a" OR "x"."b" OR "x"."c"\n  ) AND (\n    "x"."a" OR "x"."b" OR "x"."d"\n  ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n  CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\n
\n\n

AST Introspection

\n\n

You can see the AST version of the sql by calling repr:

\n\n
\n
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n
\n\n
\n
(SELECT expressions:\n  (ALIAS this:\n    (ADD this:\n      (COLUMN this:\n        (IDENTIFIER this: a, quoted: False)), expression:\n      (LITERAL this: 1, is_string: False)), alias:\n    (IDENTIFIER this: z, quoted: False)))\n
\n
\n\n

AST Diff

\n\n

SQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:

\n\n
\n
from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n
\n\n
\n
[\n  Remove(expression=(ADD this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Insert(expression=(SUB this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Move(expression=(COLUMN this:\n    (IDENTIFIER this: c, quoted: False))),\n  Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n  ...\n]\n
\n
\n\n

See also: Semantic Diff for SQL.

\n\n

Custom Dialects

\n\n

Dialects can be added by subclassing Dialect:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n\nprint(Dialect["custom"])\n
\n
\n\n
<class '__main__.Custom'>\n
\n\n

SQL Execution

\n\n

One can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:

\n\n
\n
from sqlglot.executor import execute\n\ntables = {\n    "sushi": [\n        {"id": 1, "price": 1.0},\n        {"id": 2, "price": 2.0},\n        {"id": 3, "price": 3.0},\n    ],\n    "order_items": [\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 2, "order_id": 1},\n        {"sushi_id": 3, "order_id": 2},\n    ],\n    "orders": [\n        {"id": 1, "user_id": 1},\n        {"id": 2, "user_id": 2},\n    ],\n}\n\nexecute(\n    """\n    SELECT\n      o.user_id,\n      SUM(s.price) AS price\n    FROM orders o\n    JOIN order_items i\n      ON o.id = i.order_id\n    JOIN sushi s\n      ON i.sushi_id = s.id\n    GROUP BY o.user_id\n    """,\n    tables=tables\n)\n
\n
\n\n
\n
user_id price\n      1   4.0\n      2   3.0\n
\n
\n\n

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation:

\n\n
make docs-serve\n
\n\n

Run Tests and Lint

\n\n
make check  # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\n

Benchmarks

\n\n

Benchmarks run on Python 3.10.5 in seconds.

\n\n\n\n\n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n
Querysqlglotsqlfluffsqltreesqlparsemoz_sql_parsersqloxide
tpch0.01308 (1.0)1.60626 (122.7)0.01168 (0.893)0.04958 (3.791)0.08543 (6.531)0.00136 (0.104)
short0.00109 (1.0)0.14134 (129.2)0.00099 (0.906)0.00342 (3.131)0.00652 (5.970)8.76E-5 (0.080)
long0.01399 (1.0)2.12632 (151.9)0.01126 (0.805)0.04410 (3.151)0.06671 (4.767)0.00107 (0.076)
crazy0.03969 (1.0)24.3777 (614.1)0.03917 (0.987)11.7043 (294.8)1.03280 (26.02)0.00625 (0.157)
\n\n

Optional Dependencies

\n\n

SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:

\n\n
\n
x + interval '1' month\n
\n
\n\n
\n"}, "sqlglot.pretty": {"fullname": "sqlglot.pretty", "modulename": "sqlglot", "qualname": "pretty", "kind": "variable", "doc": "

Whether to format generated SQL by default.

\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "

\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "

Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • **opts: other sqlglot.parser.Parser options.
  • \n
\n\n
Returns:
\n\n
\n

The resulting syntax tree collection.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "

Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • into: the SQLGlot Expression to parse into.
  • \n
  • **opts: other sqlglot.parser.Parser options.
  • \n
\n\n
Returns:
\n\n
\n

The syntax tree for the first parsed statement.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "

Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to transpile.
  • \n
  • read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • identity: if set to True and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.
  • \n
  • error_level: the desired error level of the parser.
  • \n
  • **opts: other sqlglot.generator.Generator options.
  • \n
\n\n
Returns:
\n\n
\n

The list of transpiled SQL statements.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "

PySpark DataFrame SQL Generator

\n\n

This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.

\n\n

Currently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.

\n\n

How to use

\n\n

Instructions

\n\n
    \n
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
  • \n
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
  • \n
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>).\n
      \n
    • The column structure can be defined the following ways:\n
        \n
      • Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
          \n
        • Ex: {'cola': 'string', 'colb': 'int'}
        • \n
      • \n
      • PySpark DataFrame StructType similar to when using createDataFrame.\n
          \n
        • Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
        • \n
      • \n
      • A string of names and types similar to what is supported in createDataFrame.\n
          \n
        • Ex: cola: STRING, colb: INT
        • \n
      • \n
      • [Not Recommended] A list of string column names without type.\n
          \n
        • Ex: ['cola', 'colb']
        • \n
        • The lack of types may limit functionality in future releases.
        • \n
      • \n
    • \n
    • See Registering Custom Schema for information on how to skip this step if the information is stored externally.
    • \n
  • \n
  • Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\n
      \n
    • In most cases a single SQL statement is returned. Currently the only exception is when caching DataFrames which isn't supported in other dialects.
    • \n
    • Spark is the default output dialect. See dialects for a full list of dialects.
    • \n
    • Ex: .sql(pretty=True, dialect='bigquery')
    • \n
  • \n
\n\n

Examples

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n  'employee_id': 'INT',\n  'fname': 'STRING',\n  'lname': 'STRING',\n  'age': 'INT',\n})  # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))  # Spark will be the dialect used by default\n
\n
\n\n
SELECT\n  `employee`.`age` AS `age`,\n  COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n  `employee`.`age`\n
\n\n

Registering Custom Schema Class

\n\n

The step of adding sqlglot.schema.add_table can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema abstract class and then assigning that class to sqlglot.schema.

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n  ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\n
\n\n

Example Implementations

\n\n

Bigquery

\n\n
\n
from google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n  result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n    print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\n
\n\n

Snowflake

\n\n
\n
import os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n    user=os.environ["SNOWFLAKE_USER"],\n    password=os.environ["SNOWFLAKE_PASS"],\n    account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n    .sql(dialect="snowflake")\n)\n\ntry:\n    for sql in sql_statements:\n        cs.execute(sql)\n    results = cs.fetchall()\n    for row in results:\n        print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n    cs.close()\nctx.close()\n
\n
\n\n

Spark

\n\n
\n
from pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n    df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\n
\n\n

Unsupportable Operations

\n\n

Any operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.

\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140472806286400'>], List[<MagicMock id='140472806286400'>], Tuple]],\tschema: Optional[<MagicMock id='140472806820784'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "

\n", "signature": "(\tspark: <MagicMock id='140472811025888'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140472809295296'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "

\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.sort": {"fullname": "sqlglot.dataframe.sql.DataFrame.sort", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sort", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.union": {"fullname": "sqlglot.dataframe.sql.DataFrame.union", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.union", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionByName", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionByName", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame,\tallowMissingColumns: bool = False):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersect": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersect", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersect", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersectAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersectAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.exceptAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.exceptAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.distinct": {"fullname": "sqlglot.dataframe.sql.DataFrame.distinct", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.distinct", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropDuplicates", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropDuplicates", "kind": "function", "doc": "

\n", "signature": "(self, subset: Optional[List[str]] = None):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropna": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropna", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.fillna": {"fullname": "sqlglot.dataframe.sql.DataFrame.fillna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.fillna", "kind": "function", "doc": "

Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column

\n\n

Possibility for improvement: Use typeof function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.

\n", "signature": "(\tself,\tvalue: <MagicMock id='140472806747648'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='140472804979616'>], <MagicMock id='140472804979616'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolName: str,\tcol: sqlglot.dataframe.sql.column.Column) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumnRenamed", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumnRenamed", "kind": "function", "doc": "

\n", "signature": "(self, existing: str, new: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.drop": {"fullname": "sqlglot.dataframe.sql.DataFrame.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.limit": {"fullname": "sqlglot.dataframe.sql.DataFrame.limit", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.limit", "kind": "function", "doc": "

\n", "signature": "(self, num: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.hint": {"fullname": "sqlglot.dataframe.sql.DataFrame.hint", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.hint", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*parameters: Union[str, int, NoneType]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.repartition": {"fullname": "sqlglot.dataframe.sql.DataFrame.repartition", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.repartition", "kind": "function", "doc": "

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='140472805135488'>],\t*cols: <MagicMock id='140472805162720'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

\n", "signature": "(self, numPartitions: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.cache": {"fullname": "sqlglot.dataframe.sql.DataFrame.cache", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.cache", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.persist": {"fullname": "sqlglot.dataframe.sql.DataFrame.persist", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.persist", "kind": "function", "doc": "

Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html

\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression: Union[<MagicMock id='140472807220864'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140472805310912'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='140472805659008'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140472805529376'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='140472805471088'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140472805366256'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140472805069328'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140472805078736'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "

\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "

\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "

\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "

Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string

\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "

\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "

\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140472803821888'>, Iterable[<MagicMock id='140472803821888'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140472803925808'>,\tupperBound: <MagicMock id='140472803947520'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='140472804005232'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "

\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140472804320848'>, List[<MagicMock id='140472804320848'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140472804438944'>, List[<MagicMock id='140472804438944'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140472804166576'>, List[<MagicMock id='140472804166576'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140472804365008'>, List[<MagicMock id='140472804365008'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "

\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "

Dialects

\n\n

While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.

\n\n

The base sqlglot.dialects.dialect.Dialect class implements a generic dialect that aims to be as universal as possible.

\n\n

Each SQL variation has its own Dialect subclass, extending the corresponding Tokenizer, Parser and Generator\nclasses as needed.

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n
\n
\n\n

This is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS mapping.

\n\n
\n"}, "sqlglot.dialects.bigquery": {"fullname": "sqlglot.dialects.bigquery", "modulename": "sqlglot.dialects.bigquery", "kind": "module", "doc": "

Supports BigQuery Standard SQL.

\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.except_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse": {"fullname": "sqlglot.dialects.clickhouse", "modulename": "sqlglot.dialects.clickhouse", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.clickhouse.ClickHouse": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Parser", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.databricks.Databricks": {"fullname": "sqlglot.dialects.databricks.Databricks", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark"}, "sqlglot.dialects.databricks.Databricks.Parser": {"fullname": "sqlglot.dialects.databricks.Databricks.Parser", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialects": {"fullname": "sqlglot.dialects.dialect.Dialects", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects", "kind": "class", "doc": "

An enumeration.

\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "

\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "

\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "

Helper used for time expressions.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
  • \n
  • dialect: target sql dialect.
  • \n
  • default: the default format, True being time.
  • \n
\n\n
Returns:
\n\n
\n

A callable that can be used to return the appropriately formatted time expression.

\n
\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "

In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "

\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "

\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "

\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb": {"fullname": "sqlglot.dialects.duckdb", "modulename": "sqlglot.dialects.duckdb", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.duckdb.DuckDB": {"fullname": "sqlglot.dialects.duckdb.DuckDB", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Tokenizer", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Parser", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.hive.Hive": {"fullname": "sqlglot.dialects.hive.Hive", "modulename": "sqlglot.dialects.hive", "qualname": "Hive", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.hive.Hive.Tokenizer": {"fullname": "sqlglot.dialects.hive.Hive.Tokenizer", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.hive.Hive.Parser": {"fullname": "sqlglot.dialects.hive.Hive.Parser", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"fullname": "sqlglot.dialects.hive.Hive.Generator.with_properties", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties):", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.datatype_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.mysql.MySQL": {"fullname": "sqlglot.dialects.mysql.MySQL", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"fullname": "sqlglot.dialects.mysql.MySQL.Tokenizer", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.mysql.MySQL.Parser": {"fullname": "sqlglot.dialects.mysql.MySQL.Parser", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.setitem_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.set_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.set_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.oracle": {"fullname": "sqlglot.dialects.oracle", "modulename": "sqlglot.dialects.oracle", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.oracle.Oracle": {"fullname": "sqlglot.dialects.oracle.Oracle", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.oracle.Oracle.Parser": {"fullname": "sqlglot.dialects.oracle.Oracle.Parser", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.column_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.xmltable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.XMLTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"fullname": "sqlglot.dialects.oracle.Oracle.Tokenizer", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres": {"fullname": "sqlglot.dialects.postgres", "modulename": "sqlglot.dialects.postgres", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.postgres.Postgres": {"fullname": "sqlglot.dialects.postgres.Postgres", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"fullname": "sqlglot.dialects.postgres.Postgres.Tokenizer", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres.Postgres.Parser": {"fullname": "sqlglot.dialects.postgres.Postgres.Parser", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.presto.Presto": {"fullname": "sqlglot.dialects.presto.Presto", "modulename": "sqlglot.dialects.presto", "qualname": "Presto", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.presto.Presto.Tokenizer": {"fullname": "sqlglot.dialects.presto.Presto.Tokenizer", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.presto.Presto.Parser": {"fullname": "sqlglot.dialects.presto.Presto.Parser", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.transaction_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.redshift.Redshift": {"fullname": "sqlglot.dialects.redshift.Redshift", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres"}, "sqlglot.dialects.redshift.Redshift.Parser": {"fullname": "sqlglot.dialects.redshift.Redshift.Parser", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres.Tokenizer"}, "sqlglot.dialects.redshift.Redshift.Generator": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

Converts VALUES... expression into a series of unions.

\n\n

Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be\nvery slow.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.with_properties", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.with_properties", "kind": "function", "doc": "

Redshift doesn't have WITH as part of their with_properties so we remove it

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.renametable_sql", "kind": "function", "doc": "

Redshift only supports defining the table name itself (not the db) when renaming tables

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type\nwithout precision we convert it to VARCHAR(max) and if it does have precision then we just convert\nTEXT to VARCHAR.

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake": {"fullname": "sqlglot.dialects.snowflake", "modulename": "sqlglot.dialects.snowflake", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.snowflake.Snowflake": {"fullname": "sqlglot.dialects.snowflake.Snowflake", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Parser", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.ilikeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILikeAny) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.values_sql", "kind": "function", "doc": "

Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.

\n\n

We also want to make sure that after we find matches where we need to unquote a column that we prevent users\nfrom adding quotes to the column by using the identify argument when generating the SQL.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.settag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetTag) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.select_sql", "kind": "function", "doc": "

Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also\nthat all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need\nto unquote a column that we prevent users from adding quotes to the column by using the identify argument when\ngenerating the SQL.

\n\n

Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the\nexpression. This might not be true in a case where the same column name can be sourced from another table that can\nproperly quote but should be true in most cases.

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.cast_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark.Spark.Tokenizer": {"fullname": "sqlglot.dialects.spark.Spark.Tokenizer", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive.Tokenizer"}, "sqlglot.dialects.sqlite": {"fullname": "sqlglot.dialects.sqlite", "modulename": "sqlglot.dialects.sqlite", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.sqlite.SQLite": {"fullname": "sqlglot.dialects.sqlite.SQLite", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"fullname": "sqlglot.dialects.sqlite.SQLite.Tokenizer", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.sqlite.SQLite.Parser": {"fullname": "sqlglot.dialects.sqlite.SQLite.Parser", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.starrocks": {"fullname": "sqlglot.dialects.starrocks", "modulename": "sqlglot.dialects.starrocks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.starrocks.StarRocks": {"fullname": "sqlglot.dialects.starrocks.StarRocks", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.mysql.MySQL"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tableau.Tableau": {"fullname": "sqlglot.dialects.tableau.Tableau", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tableau.Tableau.Generator": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.teradata.Teradata": {"fullname": "sqlglot.dialects.teradata.Teradata", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"fullname": "sqlglot.dialects.teradata.Teradata.Tokenizer", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.teradata.Teradata.Parser": {"fullname": "sqlglot.dialects.teradata.Teradata.Parser", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PartitionedByProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.update_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.mod_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.rangen_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RangeN) -> str:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.trino.Trino": {"fullname": "sqlglot.dialects.trino.Trino", "modulename": "sqlglot.dialects.trino", "qualname": "Trino", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto"}, "sqlglot.dialects.trino.Trino.Generator": {"fullname": "sqlglot.dialects.trino.Trino.Generator", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto.Tokenizer"}, "sqlglot.dialects.tsql": {"fullname": "sqlglot.dialects.tsql", "modulename": "sqlglot.dialects.tsql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"fullname": "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "generate_date_delta_with_unit_sql", "kind": "function", "doc": "

\n", "signature": "(self, e):", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"fullname": "sqlglot.dialects.tsql.TSQL.Tokenizer", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.tsql.TSQL.Parser": {"fullname": "sqlglot.dialects.tsql.TSQL.Parser", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.systemtime_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SystemTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.returnsproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ReturnsProperty) -> str:", "funcdef": "def"}, "sqlglot.diff": {"fullname": "sqlglot.diff", "modulename": "sqlglot.diff", "kind": "module", "doc": "

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

Software is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.

\n\n

Text-based diff tools such as git diff, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

Semantically the query hasn\u2019t changed. The two arguments b and c have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.

\n\n

The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.

\n\n

The use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:

\n\n
    \n
  • Query similarity score. Identifying which parts the two queries have in common to automatically suggest opportunities for consolidation, creation of intermediate/staging tables, and so on.
  • \n
  • Differentiating between cosmetic / structural changes and functional ones. For example when a nested query is refactored into a common table expression (CTE), this kind of change doesn\u2019t have any functional impact on either a query or its outcome.
  • \n
  • Automatic suggestions about the need to retroactively backfill data. This is especially important for pipelines that populate very large tables for which restatement is a runtime-intensive procedure. The ability to discern between simple code movements and actual modifications can help assess the impact of a change and make suggestions accordingly.
  • \n
\n\n

The implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.

\n\n

The Search for a Solution

\n\n

When it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.

\n\n

If our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?

\n\n

To better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e and SELECT a - b + c, e, f. Matching individual nodes from respective syntax trees can be visualized as follows:

\n\n

\"Figure\nFigure 1: Example of node matching for two SQL expression trees.

\n\n

By looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:

\n\n
    \n
  • Inserted nodes: Sub and f. These are the nodes from the target AST which do not have a matching node in the source AST.
  • \n
  • Removed nodes: Add and d. These are the nodes from the source AST which do not have a counterpart in the target AST.
  • \n
  • Remaining nodes must be identified as unchanged.
  • \n
\n\n

It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.

\n\n

Na\u00efve Brute-Force

\n\n

The na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.

\n\n

Myers Algorithm

\n\n

After the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.

\n\n

Therefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.

\n\n

Change Distiller

\n\n

The algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].

\n\n

The algorithm consists of two high-level steps:

\n\n
    \n
  1. Finding appropriate matchings between pairs of nodes that are part of compared ASTs. Identifying what is meant by \u201cappropriate\u201d matching is also a part of this step.
  2. \n
  3. Generating the so-called \u201cedit script\u201d from the matching set built in the 1st step. The edit script is a sequence of edit operations (for example, insert, remove, update, etc.) on individual tree nodes, such that when applied as transformations on the source AST, it eventually becomes the target AST. In general, the shorter the sequence, the better. The length of the edit script can be used to compare the performance of different algorithms, though this is not the only metric that matters.
  4. \n
\n\n

The rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

We begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.

\n\n

Using the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.

\n\n

\"Figure\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.

\n\n

First, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.

\n\n

The similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:

\n\n
\n
def bigram(string):\n    count = max(0, len(string) - 1)\n    return [string[i : i + 2] for i in range(count)]\n
\n
\n\n

For reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:

\n\n
\n
from collections import defaultdict\n\ndef bigram_histo(string):\n    count = max(0, len(string) - 1)\n    bigram_histo = defaultdict(int)\n    for i in range(count):\n        bigram_histo[string[i : i + 2]] += 1\n    return bigram_histo\n
\n
\n\n

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

Where X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:

\n\n
\n
def dice_coefficient(source, target):\n    source_histo = bigram_histo(source.sql())\n    target_histo = bigram_histo(target.sql())\n\n    total_grams = (\n        sum(source_histo.values()) + sum(target_histo.values())\n    )\n    if not total_grams:\n        return 1.0 if source == target else 0.0\n\n    overlap_len = 0\n    overlapping_grams = set(source_histo) & set(target_histo)\n    for g in overlapping_grams:\n        overlap_len += min(source_histo[g], target_histo[g])\n\n    return 2 * overlap_len / total_grams\n
\n
\n\n

To compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123) node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d) node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.

\n\n

Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

\n\n
    \n
  1. The node labels match (in our case labels are just node types).
  2. \n
  3. The similarity score for node values is greater than or equal to some threshold \u201cf\u201d. The authors of the paper recommend setting the value of \u201cf\u201d to 0.6.
  4. \n
\n\n

With building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:

\n\n
\n
from heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n    for target_leaf in target_leaves:\n        if _is_same_type(source_leaf, target_leaf):\n            similarity_score = dice_coefficient(\n                source_leaf, target_leaf\n            )\n            if similarity_score >= 0.6:\n                heappush(\n                    candidate_matchings,\n                    (\n                        -similarity_score,\n                        len(candidate_matchings),\n                        source_leaf,\n                        target_leaf,\n                    ),\n                )\n
\n
\n\n

In the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.

\n\n

Finally, we build the initial matching set by picking leaf pairs with the highest score:

\n\n
\n
matching_set = set()\nwhile candidate_matchings:\n    _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n    if (\n        source_leaf in unmatched_source_nodes\n        and target_leaf in unmatched_target_nodes\n    ):\n        matching_set.add((source_leaf, target_leaf))\n        unmatched_source_nodes.remove(source_leaf)\n        unmatched_target_nodes.remove(target_leaf)\n
\n
\n\n

To finalize the matching set, we should now proceed with matching inner nodes.

\n\n

Matching Inner Nodes

\n\n

Matching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:

\n\n
    \n
  • Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
  • \n
  • The matching criteria itself has been extended to account for the number of leaf nodes the pair of inner nodes have in common.
  • \n
\n\n

\"Figure\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.

\n\n

Let\u2019s start with the matching criteria. The criteria is formalized as follows:

\n\n

\"Matching

\n\n

Alongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.

\n\n

There are two additional heuristics associated with this matching criteria:

\n\n
    \n
  • Inner node similarity weighting: if the similarity score between the node values doesn\u2019t pass the threshold \u201cf\u201d but the ratio of common leaf nodes (\u201ct\u201d) is greater than or equal to 0.8, then the matching is considered successful.
  • \n
  • The threshold \u201ct\u201d is reduced to 0.4 for inner nodes with the number of leaf nodes equal to 4 or less, in order to decrease the false negative rate for small subtrees.
  • \n
\n\n

We now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:

\n\n
\n
leaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n    for target_node in unmatched_target_nodes:\n        if _is_same_type(source_node, target_node):\n            source_leaves = set(_get_leaves(source_node))\n            target_leaves = set(_get_leaves(target_node))\n\n            max_leaves_num = max(len(source_leaves), len(target_leaves))\n            if max_leaves_num:\n                common_leaves_num = sum(\n                    1 if s in source_leaves and t in target_leaves else 0\n                    for s, t in leaves_matching_set\n                )\n                leaf_similarity_score = common_leaves_num / max_leaves_num\n            else:\n                leaf_similarity_score = 0.0\n\n            adjusted_t = (\n                0.6\n                if min(len(source_leaves), len(target_leaves)) > 4\n                else 0.4\n            )\n\n            if leaf_similarity_score >= 0.8 or (\n                leaf_similarity_score >= adjusted_t\n                and dice_coefficient(source_node, target_node) >= 0.6\n            ):\n                matching_set.add((source_node, target_node))\n                unmatched_source_nodes.remove(source_node)\n                unmatched_target_nodes.remove(target_node)\n                break\n
\n
\n\n

After the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.

\n\n

Generating the Edit Script

\n\n

At this point, we should have the following 3 sets at our disposal:

\n\n
    \n
  • The set of matched node pairs.
  • \n
  • The set of remaining unmatched nodes from the source tree.
  • \n
  • The set of remaining unmatched nodes from the target tree.
  • \n
\n\n

We can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).

\n\n

The latter two cases are pretty straightforward to implement:

\n\n
\n
edit_script = []\n\nfor removed_node in unmatched_source_nodes:\n    edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n    edit_script.append(Insert(inserted_node))\n
\n
\n\n

Traversing the matching set requires a little more thought:

\n\n
\n
for source_node, target_node in matching_set:\n    if (\n        not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n        or source_node == target_node\n    ):\n        move_edits = generate_move_edits(\n            source_node, target_node, matching_set\n        )\n        edit_script.extend(move_edits)\n        edit_script.append(Keep(source_node, target_node))\n    else:\n        edit_script.append(Update(source_node, target_node))\n
\n
\n\n

If a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.

\n\n

Now with this knowledge, the implementation becomes straightforward:

\n\n
\n
def generate_move_edits(source, target, matching_set):\n    source_children = _get_child_nodes(source)\n    target_children = _get_child_nodes(target)\n\n    lcs = set(\n        _longest_common_subsequence(\n            source_children,\n            target_children,\n            lambda l, r: (l, r) in matching_set\n        )\n    )\n\n    move_edits = []\n    for node in source_children:\n        if node not in lcs and node not in unmatched_source_nodes:\n            move_edits.append(Move(node))\n\n    return move_edits\n
\n
\n\n

I left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

\n\n
\n
>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\n
\n\n

Note that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.

\n\n

The implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:

\n\n
\n
>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\n
\n\n

Optimizations

\n\n

The worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.

\n\n

There are still a few basic things we can do in our implementation to help improve performance:

\n\n
    \n
  • Refer to individual node objects using their identifiers (Python\u2019s id()) instead of direct references in sets. This helps avoid costly recursive hash calculations and equality checks.
  • \n
  • Cache bigram histograms to avoid computing them more than once for the same node.
  • \n
  • Compute the canonical SQL string representation for each tree once while caching string representations of all inner nodes. This prevents redundant tree traversals when bigrams are computed.
  • \n
\n\n

At the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.

\n\n

Alternative Solutions

\n\n

This section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.

\n\n

First, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.

\n\n

Another notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.

\n\n

Conclusion

\n\n

The Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.

\n\n

Additionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.

\n\n

I\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.

\n\n

References

\n\n

[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)

\n\n

[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.

\n\n

[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996

\n\n

[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552

\n\n
\n"}, "sqlglot.diff.Insert": {"fullname": "sqlglot.diff.Insert", "modulename": "sqlglot.diff", "qualname": "Insert", "kind": "class", "doc": "

Indicates that a new node has been inserted

\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "

Indicates that an existing node has been removed

\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "

Indicates that an existing node's position within the tree has changed

\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "

Indicates that an existing node has been updated

\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "

Indicates that an existing node hasn't been changed

\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "

Returns the list of changes between the source and the target expressions.

\n\n
Examples:
\n\n
\n
\n
>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n    Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n    Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n    Keep(\n        source=(ADD this: ...),\n        target=(ADD this: ...)\n    ),\n    Keep(\n        source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n        target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n    ),\n]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • source: the source expression.
  • \n
  • target: the target expression against which the diff should be calculated.
  • \n
  • matchings: the list of pre-matched node pairs which is used to help the algorithm's\nheuristics produce better results for subtrees that are known by a caller to be matching.\nNote: expression references in this list must refer to the same node objects that are\nreferenced in source / target trees.
  • \n
\n\n
Returns:
\n\n
\n

the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.

\n
\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "

The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.

\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "

\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "

\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "

Ignore all errors.

\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "

Log all errors.

\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "

Collect all errors and raise a single exception.

\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "

Immediately raise an exception on the first error found.

\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "

\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.

\n\n

This post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:

\n\n\n\n

Why?

\n\n

I started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.

\n\n

Why did I do this? Isn't a Python SQL engine going to be extremely slow?

\n\n

The main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.

\n\n

In terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.

\n\n

Finally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.

\n\n

Parts of SQLGlot's toolkit are being used today by the following:

\n\n
    \n
  • Ibis: A Python library that provides a lightweight, universal interface for data wrangling.\n
      \n
    • Uses the Python SQL expression builder and leverages the optimizer/planner to convert SQL into dataframe operations.
    • \n
  • \n
  • mysql-mimic: Pure-Python implementation of the MySQL server wire protocol\n
      \n
    • Parses / transforms SQL and executes INFORMATION_SCHEMA queries.
    • \n
  • \n
  • Quokka: Push-based vectorized query engine\n
      \n
    • Parse and optimizes SQL.
    • \n
  • \n
  • Splink: Fast, accurate and scalable probabilistic data linkage using your choice of SQL backend.\n
      \n
    • Transpiles queries.
    • \n
  • \n
\n\n

How?

\n\n

There are many steps involved with actually running a simple query like:

\n\n
\n
SELECT\n  bar.a,\n  b + 1 AS b\nFROM bar\nJOIN baz\n  ON bar.a = baz.a\nWHERE bar.a > 1\n
\n
\n\n

In this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.

\n\n

Tokenizing

\n\n

The first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.

\n\n

Running the SQLGlot tokenizer shows the output.

\n\n

\"Tokenizer

\n\n

Each keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.

\n\n

Parsing

\n\n

Once a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.

\n\n

Similar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.

\n\n

\"Parser

\n\n

The AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.

\n\n

Optimizing

\n\n

Once we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:

\n\n
    \n
  1. It's easier to debug and validate the optimizations when the input and output are both SQL.

  2. \n
  3. Rules can be applied a la carte to transform SQL into a more desirable form.

  4. \n
  5. I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1 and SELECT 2).

  6. \n
\n\n

I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.

\n\n

\"Optimizer

\n\n

The optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.

\n\n

Some example rules are:

\n\n

qualify_tables and qualify_columns

\n\n
    \n
  • Adds all db/catalog qualifiers to tables and forces an alias.
  • \n
  • Ensure each column is unambiguous and expand stars.
  • \n
\n\n
\n
SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\n
\n\n

simplify

\n\n

Boolean and math simplification. Check out all the test cases.

\n\n
\n
((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\n
\n\n

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

\n\n
\n
-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\n
\n\n

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

\n\n
\n
-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE TRUE\n  GROUP BY y.a\n) AS "_u_0"\n  ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\n
\n\n

pushdown_predicates

\n\n

Push down filters into the innermost query.

\n\n
\n
SELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n  WHERE y.a = 1\n) AS y WHERE TRUE\n
\n
\n\n

annotate_types

\n\n

Infer all types throughout the AST given schema information and function type definitions.

\n\n

Planning

\n\n

After the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:

\n\n

Scan

\n\n

Selects columns from a table, applies projections, and finally filters the table.

\n\n

Sort

\n\n

Sorts a table for order by expressions.

\n\n

Set

\n\n

Applies the operators union/union all/except/intersect.

\n\n

Aggregate

\n\n

Applies an aggregation/group by.

\n\n

Join

\n\n

Joins multiple tables together.

\n\n

\"Planner

\n\n

The logical plan is quite simple and contains the information required to convert it into a physical plan (execution).

\n\n

Executing

\n\n

Finally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.

\n\n

In order to keep things simple, it evaluates expressions with eval. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1 can just be converted into scope['x'] + 1.

\n\n

\"Executor

\n\n

What's next

\n\n

SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.

\n\n

I'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.

\n\n

Special thanks

\n\n

SQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.

\n\n

Get in touch

\n\n

If you'd like to chat more about SQLGlot, please join my Slack Channel!

\n\n
\n"}, "sqlglot.executor.execute": {"fullname": "sqlglot.executor.execute", "modulename": "sqlglot.executor", "qualname": "execute", "kind": "function", "doc": "

Run a sql query against data.

\n\n
Arguments:
\n\n
    \n
  • sql: a sql statement.
  • \n
  • schema: database schema.\nThis can either be an instance of Schema or a mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
    2. \n
    3. {db: {table: {col: type}}}
    4. \n
    5. {catalog: {db: {table: {col: type}}}}
    6. \n
  • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • tables: additional tables to register.
  • \n
\n\n
Returns:
\n\n
\n

Simple columnar data structure.

\n
\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "

\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "

Execution context for sql expressions.

\n\n

Context is used to hold relevant data tables which can then be queried on with eval.

\n\n

References to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.

\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "

Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.

\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "

\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "

\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "

\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "

\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "

\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "

\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "

\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "

\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "

\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "

\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "

Decorator that makes a function return None if any of the required arguments are None.

\n\n

This also supports decoration with no arguments, e.g.:

\n\n
@null_if_any\ndef foo(a, b): ...\n
\n\n

In which case all arguments are required.

\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "

\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "

\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "

\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "

\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "

\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "

\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "

\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "

Convert a SQL expression into literal Python code and compile it into bytecode.

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "

Convert an array of SQL expressions into tuple of Python byte code.

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "

\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "

\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "

\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

\n"}, "sqlglot.executor.table.Table": {"fullname": "sqlglot.executor.table.Table", "modulename": "sqlglot.executor.table", "qualname": "Table", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.Table.__init__": {"fullname": "sqlglot.executor.table.Table.__init__", "modulename": "sqlglot.executor.table", "qualname": "Table.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, rows=None, column_range=None)"}, "sqlglot.executor.table.Table.add_columns": {"fullname": "sqlglot.executor.table.Table.add_columns", "modulename": "sqlglot.executor.table", "qualname": "Table.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.table.Table.append": {"fullname": "sqlglot.executor.table.Table.append", "modulename": "sqlglot.executor.table", "qualname": "Table.append", "kind": "function", "doc": "

\n", "signature": "(self, row):", "funcdef": "def"}, "sqlglot.executor.table.Table.pop": {"fullname": "sqlglot.executor.table.Table.pop", "modulename": "sqlglot.executor.table", "qualname": "Table.pop", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.table.TableIter": {"fullname": "sqlglot.executor.table.TableIter", "modulename": "sqlglot.executor.table", "qualname": "TableIter", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.TableIter.__init__": {"fullname": "sqlglot.executor.table.TableIter.__init__", "modulename": "sqlglot.executor.table", "qualname": "TableIter.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RangeReader": {"fullname": "sqlglot.executor.table.RangeReader", "modulename": "sqlglot.executor.table", "qualname": "RangeReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RangeReader.__init__": {"fullname": "sqlglot.executor.table.RangeReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RangeReader.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RowReader": {"fullname": "sqlglot.executor.table.RowReader", "modulename": "sqlglot.executor.table", "qualname": "RowReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RowReader.__init__": {"fullname": "sqlglot.executor.table.RowReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RowReader.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, column_range=None)"}, "sqlglot.executor.table.Tables": {"fullname": "sqlglot.executor.table.Tables", "modulename": "sqlglot.executor.table", "qualname": "Tables", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "

\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "

Expressions

\n\n

Every AST node in SQLGlot is represented by a subclass of Expression.

\n\n

This module contains the implementation of all supported Expression types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select.

\n\n
\n"}, "sqlglot.expressions.Expression": {"fullname": "sqlglot.expressions.Expression", "modulename": "sqlglot.expressions", "qualname": "Expression", "kind": "class", "doc": "

The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
  • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
  • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
  • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
  • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
  • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
  • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
  • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

\n", "signature": "(**args: Any)"}, "sqlglot.expressions.Expression.this": {"fullname": "sqlglot.expressions.Expression.this", "modulename": "sqlglot.expressions", "qualname": "Expression.this", "kind": "variable", "doc": "

Retrieves the argument with key \"this\".

\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "

Retrieves the argument with key \"expression\".

\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "

Retrieves the argument with key \"expressions\".

\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "

Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.

\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "

Checks whether a Literal expression is a string.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "

Checks whether a Literal expression is a number.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "

Checks whether a Literal expression is an integer.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "

Returns the alias of the expression, or an empty string if it's not aliased.

\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "

Returns a deep copy of the expression.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "

Appends value to arg_key if it's a list or sets it as a new list.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
  • \n
  • value (Any): value to append to the list
  • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
  • \n
  • value: value to set the arg to.
  • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

\n"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

Returns the first node in this tree which matches at least one of\nthe specified types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The node which matches the criteria or None if no such node was found.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
\n\n
Returns:
\n\n
\n

The parent node.

\n
\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "

Returns the root expression of this tree.

\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree.

\n\n
Arguments:
\n\n
    \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
  • \n
  • prune ((node, parent, arg_key) -> bool): callable that returns True if\nthe generator should stop traversing this branch of the tree.
  • \n
\n\n
Returns:
\n\n
\n

the generator object.

\n
\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "

Returns the first non parenthesis child or self.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "

Returns the inner expression if this is an Alias.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "

Returns unnested operands as a tuple.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "

Returns a generator which yields child nodes who's parents are the same class.

\n\n

A AND B AND C -> [A, B, C]

\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "

Returns SQL string representation of this tree.

\n\n
Arguments:
\n\n
    \n
  • dialect: the dialect of the output SQL string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
  • \n
  • opts: other sqlglot.generator.Generator options.
  • \n
\n\n
Returns:
\n\n
\n

The SQL string.

\n
\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "

Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.

\n\n
Arguments:
\n\n
    \n
  • fun (function): a function which takes a node as an argument and returns a\nnew transformed node or the same node without modifications. If the function\nreturns None, then the corresponding node will be removed from the syntax tree.
  • \n
  • copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.
  • \n
\n\n
Returns:
\n\n
\n

The transformed tree.

\n
\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression (Expression|None): new node
  • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

\n
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "

Remove this expression from its AST.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "

Assert that this Expression is an instance of type_.

\n\n

If it is NOT an instance of type_, this raises an assertion error.\nOtherwise, this returns this expression.

\n\n
Examples:
\n\n
\n

This is useful for type security in chained expressions:

\n \n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
\n
\n
\n", "signature": "(self, type_):", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "

Checks if this expression is valid (e.g. all mandatory args are set).

\n\n
Arguments:
\n\n
    \n
  • args: a sequence of values that were used to instantiate a Func expression. This is used\nto check that the provided arguments don't exceed the function argument limit.
  • \n
\n\n
Returns:
\n\n
\n

A list of error messages for all possible errors that were found.

\n
\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "

Dump this Expression to a JSON-serializable dict.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "

Load a dict (as returned by Expression.dump) into an Expression instance.

\n", "signature": "(cls, obj):", "funcdef": "def"}, "sqlglot.expressions.Condition": {"fullname": "sqlglot.expressions.Condition", "modulename": "sqlglot.expressions", "qualname": "Condition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Condition.and_": {"fullname": "sqlglot.expressions.Condition.and_", "modulename": "sqlglot.expressions", "qualname": "Condition.and_", "kind": "function", "doc": "

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

And: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Or: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Returns:
\n\n
\n

Not: the new condition.

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

Relationships like x = y, x > 1, x >= y.

\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "

Builds a UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the Union expression.

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "

Builds an INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Intersect: the Intersect expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "

Builds an EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Except: the Except expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "

\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AfterJournalProperty": {"fullname": "sqlglot.expressions.AfterJournalProperty", "modulename": "sqlglot.expressions", "qualname": "AfterJournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TableFormatProperty": {"fullname": "sqlglot.expressions.TableFormatProperty", "modulename": "sqlglot.expressions", "qualname": "TableFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.VolatilityProperty": {"fullname": "sqlglot.expressions.VolatilityProperty", "modulename": "sqlglot.expressions", "qualname": "VolatilityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Expression): the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • as_ (str | Expression): the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • recursive (bool): set the RECURSIVE part of the expression. Defaults to False.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\talias,\tas_,\trecursive=None,\tappend=True,\tdialect=None,\tcopy=True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: The limited subqueryable.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect: the dialect used to parse the input expressions.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
  • opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: str | sqlglot.expressions.Expression,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the From expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql()\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect: the dialect used to parse the input expressions.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
  • opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: str | sqlglot.expressions.Expression,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • on (str | Expression): optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • using (str | Expression): optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
  • \n
  • join_type (str): If set, alter the parsed join type
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\ton=None,\tusing=None,\tappend=True,\tjoin_type=None,\tjoin_alias=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
  • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • distinct (bool): whether the Select should be distinct
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(self, distinct=True, copy=True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
  • \n
  • properties (dict): an optional mapping of table properties
  • \n
  • dialect (str): the dialect used to parse the input table.
  • \n
  • copy (bool): if False, modify this expression instance in-place.
  • \n
  • opts (kwargs): other options to use to parse the input table.
  • \n
\n\n
Returns:
\n\n
\n

Create: the CREATE TABLE AS expression

\n
\n", "signature": "(\tself,\ttable,\tproperties=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
  • \n
  • copy: if False, modify this expression instance in-place.
  • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.StructKwarg": {"fullname": "sqlglot.expressions.StructKwarg", "modulename": "sqlglot.expressions", "qualname": "StructKwarg", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary, Condition"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary, Condition"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
  • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
  • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayJoin": {"fullname": "sqlglot.expressions.ArrayJoin", "modulename": "sqlglot.expressions", "qualname": "ArrayJoin", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Matches": {"fullname": "sqlglot.expressions.Matches", "modulename": "sqlglot.expressions", "qualname": "Matches", "kind": "class", "doc": "

Oracle/Snowflake decode.\nhttps://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm\nPattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantiles": {"fullname": "sqlglot.expressions.Quantiles", "modulename": "sqlglot.expressions", "qualname": "Quantiles", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.QuantileIf": {"fullname": "sqlglot.expressions.QuantileIf", "modulename": "sqlglot.expressions", "qualname": "QuantileIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "

\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
  • \n
  • into: the SQLGlot Expression to parse into
  • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
  • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
  • \n
  • copy: whether or not to copy the expression.
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: str | sqlglot.expressions.Expression,\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Union: the syntax tree for the UNION expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Intersect: the syntax tree for the INTERSECT expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
  • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • opts (kwargs): other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Except: the syntax tree for the EXCEPT statement.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
  • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: str | sqlglot.expressions.Expression,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties (Dict[str, Any]): dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
  • \n
  • where (str): sql conditional parsed into a WHERE statement
  • \n
  • from_ (str): sql statement parsed into a FROM statement
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable,\tproperties,\twhere=None,\tfrom_=None,\tdialect=None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where (str|Condition): sql conditional parsed into a WHERE statement
  • \n
  • dialect (str): the dialect used to parse the input expressions.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(table, where=None, dialect=None, **opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
  • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
  • \n
\n\n
Returns:
\n\n
\n

Condition: the expression

\n
\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.And:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(*expressions, dialect=None, **opts) -> sqlglot.expressions.Or:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Not: the new condition

\n
\n", "signature": "(expression, dialect=None, **opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

\n", "signature": "(expression) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
  • \n
  • quoted: Whether or not force quote the identifier.
  • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
  • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
  • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
  • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
  • \n
  • quoted: whether or not to quote the alias
  • \n
  • dialect: the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
  • \n
  • alias (str | Expression): the alias name to use.
  • \n
  • dialect (str): the dialect used to parse the input expression.
  • \n
  • **opts: other options to use to parse the input expressions.
  • \n
\n\n
Returns:
\n\n
\n

Select: a new select with the subquery expression included

\n
\n", "signature": "(expression, alias=None, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: column name
  • \n
  • table: table name
  • \n
  • schema: schema name
  • \n
  • quoted: whether or not to force quote each part
  • \n
\n\n
Returns:
\n\n
\n

Column: column instance

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tschema: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
  • \n
  • to: The datatype to cast to.
  • \n
\n\n
Returns:
\n\n
\n

A cast node.

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): column name
  • \n
  • db (str | Expression): db name
  • \n
  • catalog (str | Expression): catalog name
  • \n
\n\n
Returns:
\n\n
\n

Table: table instance

\n
\n", "signature": "(\ttable,\tdb=None,\tcatalog=None,\tquoted=None,\talias=None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
  • \n
  • alias: optional alias
  • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.\nIf a dictionary is provided then the first column of the values will be casted to the expected type\nin order to help with type inference.
  • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
  • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
  • \n
  • new_name: The new name of the table
  • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value (Any): a python object
  • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object

\n
\n", "signature": "(value) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(expression, fun):", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to find table names
  • \n
\n\n
Returns:
\n\n
\n

list: A list of unique names

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table (exp.Table | str): table expression node or string.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
  • \n
  • mapping (Dict[str, str]): mapping of table names.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, mapping):", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
  • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
  • \n
  • kwargs: keyword arguments that will substitute named placeholders.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo"\n... ).sql()\n'SELECT * FROM foo WHERE a = b'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
  • \n
  • sources: A dictionary of name to Subqueryables.
  • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy=True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
  • \n
  • args: the args used to instantiate the function of interest.
  • \n
  • dialect: the source dialect.
  • \n
  • kwargs: the kwargs used to instantiate the function of interest.
  • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
  • \n
  • time_trie (trie): a trie of the time_mapping keys
  • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
  • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
  • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
  • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
  • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
  • \n
  • identify (bool): if set to True all identifiers will be delimited by the corresponding\ncharacter.
  • \n
  • normalize (bool): if set to True all identifiers will lower cased
  • \n
  • string_escape (str): specifies a string escape character. Default: '.
  • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
  • \n
  • pad (int): determines padding in a formatted string. Default: 2.
  • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
  • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
  • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
  • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
  • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
  • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
  • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
  • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
  • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttime_mapping=None,\ttime_trie=None,\tpretty=None,\tquote_start=None,\tquote_end=None,\tidentifier_start=None,\tidentifier_end=None,\tidentify=False,\tnormalize=False,\tstring_escape=None,\tidentifier_escape=None,\tpad=2,\tindent=2,\tindex_offset=0,\tunnest_column_only=False,\talias_post_tablesample=False,\tnormalize_functions='upper',\tunsupported_level=<ErrorLevel.WARN: 'WARN'>,\tnull_ordering=None,\tmax_unsupported=3,\tleading_comma=False,\tmax_text_width=80,\tcomments=True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates a SQL string by interpreting the given syntax tree.

\n\n

Args\n expression: the syntax tree.

\n\n

Returns\n the SQL string.

\n", "signature": "(self, expression: Optional[sqlglot.expressions.Expression]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fetch_sql": {"fullname": "sqlglot.generator.Generator.fetch_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fetch_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Fetch) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.filter_sql": {"fullname": "sqlglot.generator.Generator.filter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.filter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Filter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hint_sql": {"fullname": "sqlglot.generator.Generator.hint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Hint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.index_sql": {"fullname": "sqlglot.generator.Generator.index_sql", "modulename": "sqlglot.generator", "qualname": "Generator.index_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Index) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.identifier_sql": {"fullname": "sqlglot.generator.Generator.identifier_sql", "modulename": "sqlglot.generator", "qualname": "Generator.identifier_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Identifier) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.national_sql": {"fullname": "sqlglot.generator.Generator.national_sql", "modulename": "sqlglot.generator", "qualname": "Generator.national_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.National) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_sql": {"fullname": "sqlglot.generator.Generator.partition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Partition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties_sql": {"fullname": "sqlglot.generator.Generator.properties_sql", "modulename": "sqlglot.generator", "qualname": "Generator.properties_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.root_properties": {"fullname": "sqlglot.generator.Generator.root_properties", "modulename": "sqlglot.generator", "qualname": "Generator.root_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties": {"fullname": "sqlglot.generator.Generator.properties", "modulename": "sqlglot.generator", "qualname": "Generator.properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties,\tprefix: str = '',\tsep: str = ', ',\tsuffix: str = '',\twrapped: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_properties": {"fullname": "sqlglot.generator.Generator.with_properties", "modulename": "sqlglot.generator", "qualname": "Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.locate_properties": {"fullname": "sqlglot.generator.Generator.locate_properties", "modulename": "sqlglot.generator", "qualname": "Generator.locate_properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties) -> Dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]:", "funcdef": "def"}, "sqlglot.generator.Generator.property_sql": {"fullname": "sqlglot.generator.Generator.property_sql", "modulename": "sqlglot.generator", "qualname": "Generator.property_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeproperty_sql": {"fullname": "sqlglot.generator.Generator.likeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fallbackproperty_sql": {"fullname": "sqlglot.generator.Generator.fallbackproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fallbackproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FallbackProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.journalproperty_sql": {"fullname": "sqlglot.generator.Generator.journalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.journalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.freespaceproperty_sql": {"fullname": "sqlglot.generator.Generator.freespaceproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.freespaceproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FreespaceProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"fullname": "sqlglot.generator.Generator.afterjournalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.afterjournalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AfterJournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.checksumproperty_sql": {"fullname": "sqlglot.generator.Generator.checksumproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.checksumproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ChecksumProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"fullname": "sqlglot.generator.Generator.mergeblockratioproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergeblockratioproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeBlockRatioProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"fullname": "sqlglot.generator.Generator.datablocksizeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datablocksizeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataBlocksizeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"fullname": "sqlglot.generator.Generator.blockcompressionproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.blockcompressionproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BlockCompressionProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"fullname": "sqlglot.generator.Generator.isolatedloadingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.isolatedloadingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IsolatedLoadingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lockingproperty_sql": {"fullname": "sqlglot.generator.Generator.lockingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lockingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LockingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withdataproperty_sql": {"fullname": "sqlglot.generator.Generator.withdataproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withdataproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithDataProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.insert_sql": {"fullname": "sqlglot.generator.Generator.insert_sql", "modulename": "sqlglot.generator", "qualname": "Generator.insert_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Insert) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_sql": {"fullname": "sqlglot.generator.Generator.intersect_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_op": {"fullname": "sqlglot.generator.Generator.intersect_op", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.introducer_sql": {"fullname": "sqlglot.generator.Generator.introducer_sql", "modulename": "sqlglot.generator", "qualname": "Generator.introducer_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Introducer) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pseudotype_sql": {"fullname": "sqlglot.generator.Generator.pseudotype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pseudotype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PseudoType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"fullname": "sqlglot.generator.Generator.rowformatdelimitedproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rowformatdelimitedproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RowFormatDelimitedProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.table_sql": {"fullname": "sqlglot.generator.Generator.table_sql", "modulename": "sqlglot.generator", "qualname": "Generator.table_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Table, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablesample_sql": {"fullname": "sqlglot.generator.Generator.tablesample_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pivot_sql": {"fullname": "sqlglot.generator.Generator.pivot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pivot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tuple_sql": {"fullname": "sqlglot.generator.Generator.tuple_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tuple_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tuple) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.update_sql": {"fullname": "sqlglot.generator.Generator.update_sql", "modulename": "sqlglot.generator", "qualname": "Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.values_sql": {"fullname": "sqlglot.generator.Generator.values_sql", "modulename": "sqlglot.generator", "qualname": "Generator.values_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.var_sql": {"fullname": "sqlglot.generator.Generator.var_sql", "modulename": "sqlglot.generator", "qualname": "Generator.var_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Var) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.into_sql": {"fullname": "sqlglot.generator.Generator.into_sql", "modulename": "sqlglot.generator", "qualname": "Generator.into_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Into) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.from_sql": {"fullname": "sqlglot.generator.Generator.from_sql", "modulename": "sqlglot.generator", "qualname": "Generator.from_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.From) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.group_sql": {"fullname": "sqlglot.generator.Generator.group_sql", "modulename": "sqlglot.generator", "qualname": "Generator.group_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Group) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.having_sql": {"fullname": "sqlglot.generator.Generator.having_sql", "modulename": "sqlglot.generator", "qualname": "Generator.having_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Having) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.join_sql": {"fullname": "sqlglot.generator.Generator.join_sql", "modulename": "sqlglot.generator", "qualname": "Generator.join_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Join) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lambda_sql": {"fullname": "sqlglot.generator.Generator.lambda_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lambda_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Lambda,\tarrow_sep: str = '->') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lateral_sql": {"fullname": "sqlglot.generator.Generator.lateral_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lateral_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lateral) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.limit_sql": {"fullname": "sqlglot.generator.Generator.limit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.limit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Limit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.offset_sql": {"fullname": "sqlglot.generator.Generator.offset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lock_sql": {"fullname": "sqlglot.generator.Generator.lock_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lock_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lock) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.literal_sql": {"fullname": "sqlglot.generator.Generator.literal_sql", "modulename": "sqlglot.generator", "qualname": "Generator.literal_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Literal) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.loaddata_sql": {"fullname": "sqlglot.generator.Generator.loaddata_sql", "modulename": "sqlglot.generator", "qualname": "Generator.loaddata_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LoadData) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.null_sql": {"fullname": "sqlglot.generator.Generator.null_sql", "modulename": "sqlglot.generator", "qualname": "Generator.null_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.boolean_sql": {"fullname": "sqlglot.generator.Generator.boolean_sql", "modulename": "sqlglot.generator", "qualname": "Generator.boolean_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Boolean) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.order_sql": {"fullname": "sqlglot.generator.Generator.order_sql", "modulename": "sqlglot.generator", "qualname": "Generator.order_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Order, flat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cluster_sql": {"fullname": "sqlglot.generator.Generator.cluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cluster) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distribute_sql": {"fullname": "sqlglot.generator.Generator.distribute_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distribute_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distribute) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sort_sql": {"fullname": "sqlglot.generator.Generator.sort_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sort_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sort) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ordered_sql": {"fullname": "sqlglot.generator.Generator.ordered_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ordered_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Ordered) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchrecognize_sql": {"fullname": "sqlglot.generator.Generator.matchrecognize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchrecognize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.query_modifiers": {"fullname": "sqlglot.generator.Generator.query_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.select_sql": {"fullname": "sqlglot.generator.Generator.select_sql", "modulename": "sqlglot.generator", "qualname": "Generator.select_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.schema_sql": {"fullname": "sqlglot.generator.Generator.schema_sql", "modulename": "sqlglot.generator", "qualname": "Generator.schema_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Schema) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.star_sql": {"fullname": "sqlglot.generator.Generator.star_sql", "modulename": "sqlglot.generator", "qualname": "Generator.star_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Star) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.structkwarg_sql": {"fullname": "sqlglot.generator.Generator.structkwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.structkwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.StructKwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.parameter_sql": {"fullname": "sqlglot.generator.Generator.parameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.parameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Parameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sessionparameter_sql": {"fullname": "sqlglot.generator.Generator.sessionparameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sessionparameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SessionParameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.placeholder_sql": {"fullname": "sqlglot.generator.Generator.placeholder_sql", "modulename": "sqlglot.generator", "qualname": "Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.subquery_sql": {"fullname": "sqlglot.generator.Generator.subquery_sql", "modulename": "sqlglot.generator", "qualname": "Generator.subquery_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Subquery, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.qualify_sql": {"fullname": "sqlglot.generator.Generator.qualify_sql", "modulename": "sqlglot.generator", "qualname": "Generator.qualify_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Qualify) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_sql": {"fullname": "sqlglot.generator.Generator.union_sql", "modulename": "sqlglot.generator", "qualname": "Generator.union_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_op": {"fullname": "sqlglot.generator.Generator.union_op", "modulename": "sqlglot.generator", "qualname": "Generator.union_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unnest_sql": {"fullname": "sqlglot.generator.Generator.unnest_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unnest_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.where_sql": {"fullname": "sqlglot.generator.Generator.where_sql", "modulename": "sqlglot.generator", "qualname": "Generator.where_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Where) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_sql": {"fullname": "sqlglot.generator.Generator.window_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Window) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_by_sql": {"fullname": "sqlglot.generator.Generator.partition_by_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_by_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Window | sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_spec_sql": {"fullname": "sqlglot.generator.Generator.window_spec_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_spec_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WindowSpec) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withingroup_sql": {"fullname": "sqlglot.generator.Generator.withingroup_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withingroup_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithinGroup) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.between_sql": {"fullname": "sqlglot.generator.Generator.between_sql", "modulename": "sqlglot.generator", "qualname": "Generator.between_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Between) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bracket_sql": {"fullname": "sqlglot.generator.Generator.bracket_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bracket_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Bracket) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.all_sql": {"fullname": "sqlglot.generator.Generator.all_sql", "modulename": "sqlglot.generator", "qualname": "Generator.all_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.All) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.any_sql": {"fullname": "sqlglot.generator.Generator.any_sql", "modulename": "sqlglot.generator", "qualname": "Generator.any_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Any) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.exists_sql": {"fullname": "sqlglot.generator.Generator.exists_sql", "modulename": "sqlglot.generator", "qualname": "Generator.exists_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Exists) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.case_sql": {"fullname": "sqlglot.generator.Generator.case_sql", "modulename": "sqlglot.generator", "qualname": "Generator.case_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Case) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.constraint_sql": {"fullname": "sqlglot.generator.Generator.constraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.constraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Constraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.extract_sql": {"fullname": "sqlglot.generator.Generator.extract_sql", "modulename": "sqlglot.generator", "qualname": "Generator.extract_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Extract) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trim_sql": {"fullname": "sqlglot.generator.Generator.trim_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trim_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.concat_sql": {"fullname": "sqlglot.generator.Generator.concat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.concat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Concat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.check_sql": {"fullname": "sqlglot.generator.Generator.check_sql", "modulename": "sqlglot.generator", "qualname": "Generator.check_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Check) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.foreignkey_sql": {"fullname": "sqlglot.generator.Generator.foreignkey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.foreignkey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykey_sql": {"fullname": "sqlglot.generator.Generator.primarykey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unique_sql": {"fullname": "sqlglot.generator.Generator.unique_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unique_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unique) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.if_sql": {"fullname": "sqlglot.generator.Generator.if_sql", "modulename": "sqlglot.generator", "qualname": "Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_sql": {"fullname": "sqlglot.generator.Generator.in_sql", "modulename": "sqlglot.generator", "qualname": "Generator.in_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.In) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_unnest_op": {"fullname": "sqlglot.generator.Generator.in_unnest_op", "modulename": "sqlglot.generator", "qualname": "Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, unnest: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.interval_sql": {"fullname": "sqlglot.generator.Generator.interval_sql", "modulename": "sqlglot.generator", "qualname": "Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.return_sql": {"fullname": "sqlglot.generator.Generator.return_sql", "modulename": "sqlglot.generator", "qualname": "Generator.return_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Return) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.reference_sql": {"fullname": "sqlglot.generator.Generator.reference_sql", "modulename": "sqlglot.generator", "qualname": "Generator.reference_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Reference) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.anonymous_sql": {"fullname": "sqlglot.generator.Generator.anonymous_sql", "modulename": "sqlglot.generator", "qualname": "Generator.anonymous_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.paren_sql": {"fullname": "sqlglot.generator.Generator.paren_sql", "modulename": "sqlglot.generator", "qualname": "Generator.paren_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Paren) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neg_sql": {"fullname": "sqlglot.generator.Generator.neg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Neg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.not_sql": {"fullname": "sqlglot.generator.Generator.not_sql", "modulename": "sqlglot.generator", "qualname": "Generator.not_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Not) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.alias_sql": {"fullname": "sqlglot.generator.Generator.alias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.alias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Alias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.aliases_sql": {"fullname": "sqlglot.generator.Generator.aliases_sql", "modulename": "sqlglot.generator", "qualname": "Generator.aliases_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Aliases) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.attimezone_sql": {"fullname": "sqlglot.generator.Generator.attimezone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.attimezone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AtTimeZone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.add_sql": {"fullname": "sqlglot.generator.Generator.add_sql", "modulename": "sqlglot.generator", "qualname": "Generator.add_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Add) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.and_sql": {"fullname": "sqlglot.generator.Generator.and_sql", "modulename": "sqlglot.generator", "qualname": "Generator.and_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.And) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.connector_sql": {"fullname": "sqlglot.generator.Generator.connector_sql", "modulename": "sqlglot.generator", "qualname": "Generator.connector_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Connector, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseand_sql": {"fullname": "sqlglot.generator.Generator.bitwiseand_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseand_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseAnd) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiseleftshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseleftshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseLeftShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisenot_sql": {"fullname": "sqlglot.generator.Generator.bitwisenot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisenot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseNot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseor_sql": {"fullname": "sqlglot.generator.Generator.bitwiseor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseOr) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiserightshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiserightshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseRightShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisexor_sql": {"fullname": "sqlglot.generator.Generator.bitwisexor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisexor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseXor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cast_sql": {"fullname": "sqlglot.generator.Generator.cast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.currentdate_sql": {"fullname": "sqlglot.generator.Generator.currentdate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.currentdate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.collate_sql": {"fullname": "sqlglot.generator.Generator.collate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.collate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Collate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.command_sql": {"fullname": "sqlglot.generator.Generator.command_sql", "modulename": "sqlglot.generator", "qualname": "Generator.command_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Command) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.comment_sql": {"fullname": "sqlglot.generator.Generator.comment_sql", "modulename": "sqlglot.generator", "qualname": "Generator.comment_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Comment) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.transaction_sql": {"fullname": "sqlglot.generator.Generator.transaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.commit_sql": {"fullname": "sqlglot.generator.Generator.commit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Commit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rollback_sql": {"fullname": "sqlglot.generator.Generator.rollback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Rollback) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altercolumn_sql": {"fullname": "sqlglot.generator.Generator.altercolumn_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altercolumn_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterColumn) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.renametable_sql": {"fullname": "sqlglot.generator.Generator.renametable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.renametable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altertable_sql": {"fullname": "sqlglot.generator.Generator.altertable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altertable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.droppartition_sql": {"fullname": "sqlglot.generator.Generator.droppartition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.droppartition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DropPartition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.addconstraint_sql": {"fullname": "sqlglot.generator.Generator.addconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.addconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AddConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distinct_sql": {"fullname": "sqlglot.generator.Generator.distinct_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distinct_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distinct) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ignorenulls_sql": {"fullname": "sqlglot.generator.Generator.ignorenulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ignorenulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IgnoreNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.respectnulls_sql": {"fullname": "sqlglot.generator.Generator.respectnulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.respectnulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RespectNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intdiv_sql": {"fullname": "sqlglot.generator.Generator.intdiv_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intdiv_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IntDiv) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dpipe_sql": {"fullname": "sqlglot.generator.Generator.dpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.div_sql": {"fullname": "sqlglot.generator.Generator.div_sql", "modulename": "sqlglot.generator", "qualname": "Generator.div_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Div) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.overlaps_sql": {"fullname": "sqlglot.generator.Generator.overlaps_sql", "modulename": "sqlglot.generator", "qualname": "Generator.overlaps_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Overlaps) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distance_sql": {"fullname": "sqlglot.generator.Generator.distance_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distance_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distance) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dot_sql": {"fullname": "sqlglot.generator.Generator.dot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Dot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.eq_sql": {"fullname": "sqlglot.generator.Generator.eq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.eq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.EQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.escape_sql": {"fullname": "sqlglot.generator.Generator.escape_sql", "modulename": "sqlglot.generator", "qualname": "Generator.escape_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Escape) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.glob_sql": {"fullname": "sqlglot.generator.Generator.glob_sql", "modulename": "sqlglot.generator", "qualname": "Generator.glob_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Glob) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gt_sql": {"fullname": "sqlglot.generator.Generator.gt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gte_sql": {"fullname": "sqlglot.generator.Generator.gte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilike_sql": {"fullname": "sqlglot.generator.Generator.ilike_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilike_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.is_sql": {"fullname": "sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\tkey: Optional[str] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
  • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
  • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
  • \n
  • sep: the argument separator.
  • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
  • \n
  • classes: class(es) we want to find the subclasses of.
  • \n
  • exclude: class(es) we want to exclude from the returned list.
  • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
  • \n
  • offset: the offset that will be applied.
  • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(expressions: List[Optional[~E]], offset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
  • \n
  • func: the transformation to be applied.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: Optional[sqlglot.expressions.Expression],\tfunc: Callable[[Optional[sqlglot.expressions.Expression]], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
  • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
  • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
  • \n
  • base: base name to alter.
  • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
  • \n
  • sep: the value to use to split on.
  • \n
  • min_num_words: the minimum number of words that are going to be in the result.
  • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
  • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
  • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
  • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.count_params": {"fullname": "sqlglot.helper.count_params", "modulename": "sqlglot.helper", "qualname": "count_params", "kind": "function", "doc": "

Returns the number of formal parameters expected by a function, without counting \"self\"\nand \"cls\", in case of instance and class methods, respectively.

\n", "signature": "(function: Callable) -> int:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
  • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>)"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
  • \n
  • sql: The SQL string or expression.
  • \n
  • schema: The schema of tables.
  • \n
  • sources: A mapping of queries which will be used to continue building lineage.
  • \n
  • rules: Optimizer rules to apply, by default only qualifying tables and columns.
  • \n
  • dialect: The dialect of input SQL.
  • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function qualify_tables at 0x7fc261078040>, <function qualify_columns at 0x7fc26108aef0>, <function expand_laterals at 0x7fc2610896c0>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): Expression to annotate.
  • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema.
  • \n
  • annotators (dict): Maps expression type to corresponding annotation function.
  • \n
  • coerces_to (dict): Maps expression type to set of types that it can be coerced into.
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression annotated with types

\n
\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
  • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
  • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"fullname": "sqlglot.optimizer.expand_laterals.expand_laterals", "modulename": "sqlglot.optimizer.expand_laterals", "qualname": "expand_laterals", "kind": "function", "doc": "

Expand lateral column alias references.

\n\n

This assumes qualify_columns as already run.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a + 1 AS b, b + 1 AS c FROM x"\n>>> expression = sqlglot.parse_one(sql)\n>>> expand_laterals(expression).sql()\n'SELECT x.a + 1 AS b, x.a + 1 + 1 AS c FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

optimized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"fullname": "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects", "modulename": "sqlglot.optimizer.expand_multi_table_selects", "qualname": "expand_multi_table_selects", "kind": "function", "doc": "

Replace multiple FROM expressions with JOINs.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand_multi_table_selects(parse_one("SELECT * FROM x, y")).sql()\n'SELECT * FROM x CROSS JOIN y'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "

Convert all unquoted identifiers to lower case.

\n\n

Assuming the schema is all lower case, this essentially makes identifiers case-insensitive.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to quote
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: quoted expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
  • leave_tables_isolated (bool):
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to normalize
  • \n
  • dnf (bool): rewrite in disjunctive normal form instead
  • \n
  • max_distance (int): the maximal estimated distance from cnf to attempt conversion
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(expression, dnf=False, max_distance=128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
  • \n
  • dnf (bool): compute to dnf distance instead
  • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
  • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
  • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
  • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
  • \n
  • dialect: The dialect to parse the sql string.
  • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify_tables or qualify_columns from the sequence of rules unless you know\nwhat you're doing!
  • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7fc261089990>, <function qualify_tables at 0x7fc261078040>, <function isolate_table_selects at 0x7fc261089900>, <function qualify_columns at 0x7fc26108aef0>, <function expand_laterals at 0x7fc2610896c0>, <function pushdown_projections at 0x7fc26108b9a0>, <function validate_qualify_columns at 0x7fc26108af80>, <function normalize at 0x7fc26109b640>, <function unnest_subqueries at 0x7fc261078160>, <function expand_multi_table_selects at 0x7fc261089870>, <function pushdown_predicates at 0x7fc26108aa70>, <function optimize_joins at 0x7fc26108a7a0>, <function eliminate_subqueries at 0x7fc2610892d0>, <function merge_subqueries at 0x7fc261089c60>, <function eliminate_joins at 0x7fc26109b520>, <function eliminate_ctes at 0x7fc26109b400>, <function annotate_types at 0x7fc260ff4310>, <function canonicalize at 0x7fc26109b010>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
  • \n
  • remove_unused_selections (bool): remove selects that are unused
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
  • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(expression, schema):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
  • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
  • \n
  • db (str): Database name
  • \n
  • catalog (str): Catalog name
  • \n
  • schema: A schema to populate
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
  • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
  • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
  • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
  • \n
  • parent (Scope): Parent scope
  • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
  • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
  • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
  • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
  • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
  • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
  • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
  • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
  • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
  • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
  • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
  • \n
  • new (exp.Expression): new node
  • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
  • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
  • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
  • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
  • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
  • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
  • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args):", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
  • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
  • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
  • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
  • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
  • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
  • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tindex_offset: int = 0,\tunnest_column_only: bool = False,\talias_post_tablesample: bool = False,\tmax_errors: int = 3,\tnull_ordering: Optional[str] = None)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: the list of tokens.
  • \n
  • sql: the original SQL string, used to produce helpful debug messages.
  • \n
\n\n
Returns:
\n\n
\n

The list of syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to try and parse the token list into.
  • \n
  • raw_tokens: the list of tokens.
  • \n
  • sql: the original SQL string, used to produce helpful debug messages.
  • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
  • \n
  • comments: an optional list of comments to attach to the expression.
  • \n
  • kwargs: the arguments to set for the expression along with their respective values.
  • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[sqlglot.expressions.Expression],\tcomments: Optional[List[str]] = None,\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to validate.
  • \n
  • args: an optional list of items that was used to instantiate the expression, if it's a Func.
  • \n
\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\targs: Optional[List] = None) -> None:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
    • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
      • \n
    • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
    • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
    • \n
  • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
  • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
  • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: table expression instance or string representing the table.
  • \n
  • column_mapping: a column mapping that describes the structure of the table.
  • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
  • \n
  • only_visible: whether to include invisible columns.
  • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
  • \n
  • column: the target column.
  • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: dict | None = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema (dict): Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
    2. \n
    3. {db: {table: {col: type}}}
    4. \n
    5. {catalog: {db: {table: {col: type}}}}
    6. \n
    7. None - Tables will be added later
    8. \n
  • \n
  • visible (dict): Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
    2. \n
    3. {db: {table: set(cols)}}}
    4. \n
    5. {catalog: {db: {table: set(*cols)}}}}
    6. \n
  • \n
  • dialect (str): The dialect to be used for custom type mappings.
  • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
  • \n
  • column_mapping: a column mapping that describes the structure of the table.
  • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
  • \n
  • only_visible: whether to include invisible columns.
  • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
  • \n
  • column: the target column.
  • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column | str) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(schema: Any) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]):", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.NATIONAL": {"fullname": "sqlglot.tokens.TokenType.NATIONAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATIONAL: 'NATIONAL'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.DATABASE": {"fullname": "sqlglot.tokens.TokenType.DATABASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATABASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATABASE: 'DATABASE'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, "sqlglot.tokens.TokenType.SMALLINT": {"fullname": "sqlglot.tokens.TokenType.SMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLINT: 'SMALLINT'>"}, "sqlglot.tokens.TokenType.INT": {"fullname": "sqlglot.tokens.TokenType.INT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT: 'INT'>"}, "sqlglot.tokens.TokenType.BIGINT": {"fullname": "sqlglot.tokens.TokenType.BIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGINT: 'BIGINT'>"}, "sqlglot.tokens.TokenType.FLOAT": {"fullname": "sqlglot.tokens.TokenType.FLOAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FLOAT: 'FLOAT'>"}, "sqlglot.tokens.TokenType.DOUBLE": {"fullname": "sqlglot.tokens.TokenType.DOUBLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOUBLE: 'DOUBLE'>"}, "sqlglot.tokens.TokenType.DECIMAL": {"fullname": "sqlglot.tokens.TokenType.DECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DECIMAL: 'DECIMAL'>"}, "sqlglot.tokens.TokenType.CHAR": {"fullname": "sqlglot.tokens.TokenType.CHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHAR: 'CHAR'>"}, "sqlglot.tokens.TokenType.NCHAR": {"fullname": "sqlglot.tokens.TokenType.NCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NCHAR: 'NCHAR'>"}, "sqlglot.tokens.TokenType.VARCHAR": {"fullname": "sqlglot.tokens.TokenType.VARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARCHAR: 'VARCHAR'>"}, "sqlglot.tokens.TokenType.NVARCHAR": {"fullname": "sqlglot.tokens.TokenType.NVARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.tokens.TokenType.TEXT": {"fullname": "sqlglot.tokens.TokenType.TEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEXT: 'TEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"fullname": "sqlglot.tokens.TokenType.MEDIUMTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.tokens.TokenType.LONGTEXT": {"fullname": "sqlglot.tokens.TokenType.LONGTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"fullname": "sqlglot.tokens.TokenType.MEDIUMBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.tokens.TokenType.LONGBLOB": {"fullname": "sqlglot.tokens.TokenType.LONGBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.tokens.TokenType.BINARY": {"fullname": "sqlglot.tokens.TokenType.BINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BINARY: 'BINARY'>"}, "sqlglot.tokens.TokenType.VARBINARY": {"fullname": "sqlglot.tokens.TokenType.VARBINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARBINARY: 'VARBINARY'>"}, "sqlglot.tokens.TokenType.JSON": {"fullname": "sqlglot.tokens.TokenType.JSON", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSON: 'JSON'>"}, "sqlglot.tokens.TokenType.JSONB": {"fullname": "sqlglot.tokens.TokenType.JSONB", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSONB: 'JSONB'>"}, "sqlglot.tokens.TokenType.TIME": {"fullname": "sqlglot.tokens.TokenType.TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIME: 'TIME'>"}, "sqlglot.tokens.TokenType.TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPLTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.tokens.TokenType.DATETIME": {"fullname": "sqlglot.tokens.TokenType.DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME: 'DATETIME'>"}, "sqlglot.tokens.TokenType.DATE": {"fullname": "sqlglot.tokens.TokenType.DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATE: 'DATE'>"}, "sqlglot.tokens.TokenType.UUID": {"fullname": "sqlglot.tokens.TokenType.UUID", "modulename": "sqlglot.tokens", "qualname": "TokenType.UUID", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UUID: 'UUID'>"}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"fullname": "sqlglot.tokens.TokenType.GEOGRAPHY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.tokens.TokenType.NULLABLE": {"fullname": "sqlglot.tokens.TokenType.NULLABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLABLE: 'NULLABLE'>"}, "sqlglot.tokens.TokenType.GEOMETRY": {"fullname": "sqlglot.tokens.TokenType.GEOMETRY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.tokens.TokenType.HLLSKETCH": {"fullname": "sqlglot.tokens.TokenType.HLLSKETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.tokens.TokenType.HSTORE": {"fullname": "sqlglot.tokens.TokenType.HSTORE", "modulename": "sqlglot.tokens", "qualname": "TokenType.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HSTORE: 'HSTORE'>"}, "sqlglot.tokens.TokenType.SUPER": {"fullname": "sqlglot.tokens.TokenType.SUPER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SUPER: 'SUPER'>"}, "sqlglot.tokens.TokenType.SERIAL": {"fullname": "sqlglot.tokens.TokenType.SERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERIAL: 'SERIAL'>"}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"fullname": "sqlglot.tokens.TokenType.SMALLSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.tokens.TokenType.BIGSERIAL": {"fullname": "sqlglot.tokens.TokenType.BIGSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.tokens.TokenType.XML": {"fullname": "sqlglot.tokens.TokenType.XML", "modulename": "sqlglot.tokens", "qualname": "TokenType.XML", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.XML: 'XML'>"}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.tokens.TokenType.MONEY": {"fullname": "sqlglot.tokens.TokenType.MONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MONEY: 'MONEY'>"}, "sqlglot.tokens.TokenType.SMALLMONEY": {"fullname": "sqlglot.tokens.TokenType.SMALLMONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.tokens.TokenType.ROWVERSION": {"fullname": "sqlglot.tokens.TokenType.ROWVERSION", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.tokens.TokenType.IMAGE": {"fullname": "sqlglot.tokens.TokenType.IMAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IMAGE: 'IMAGE'>"}, "sqlglot.tokens.TokenType.VARIANT": {"fullname": "sqlglot.tokens.TokenType.VARIANT", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARIANT: 'VARIANT'>"}, "sqlglot.tokens.TokenType.OBJECT": {"fullname": "sqlglot.tokens.TokenType.OBJECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OBJECT: 'OBJECT'>"}, "sqlglot.tokens.TokenType.INET": {"fullname": "sqlglot.tokens.TokenType.INET", "modulename": "sqlglot.tokens", "qualname": "TokenType.INET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INET: 'INET'>"}, "sqlglot.tokens.TokenType.ALIAS": {"fullname": "sqlglot.tokens.TokenType.ALIAS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALIAS: 'ALIAS'>"}, "sqlglot.tokens.TokenType.ALTER": {"fullname": "sqlglot.tokens.TokenType.ALTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALTER: 'ALTER'>"}, "sqlglot.tokens.TokenType.ALWAYS": {"fullname": "sqlglot.tokens.TokenType.ALWAYS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALWAYS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALWAYS: 'ALWAYS'>"}, "sqlglot.tokens.TokenType.ALL": {"fullname": "sqlglot.tokens.TokenType.ALL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALL: 'ALL'>"}, "sqlglot.tokens.TokenType.ANTI": {"fullname": "sqlglot.tokens.TokenType.ANTI", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANTI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANTI: 'ANTI'>"}, "sqlglot.tokens.TokenType.ANY": {"fullname": "sqlglot.tokens.TokenType.ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANY: 'ANY'>"}, "sqlglot.tokens.TokenType.APPLY": {"fullname": "sqlglot.tokens.TokenType.APPLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.APPLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.APPLY: 'APPLY'>"}, "sqlglot.tokens.TokenType.ARRAY": {"fullname": "sqlglot.tokens.TokenType.ARRAY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARRAY: 'ARRAY'>"}, "sqlglot.tokens.TokenType.ASC": {"fullname": "sqlglot.tokens.TokenType.ASC", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASC: 'ASC'>"}, "sqlglot.tokens.TokenType.ASOF": {"fullname": "sqlglot.tokens.TokenType.ASOF", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASOF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASOF: 'ASOF'>"}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.AT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AT_TIME_ZONE: 'AT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"fullname": "sqlglot.tokens.TokenType.AUTO_INCREMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AUTO_INCREMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>"}, "sqlglot.tokens.TokenType.BEGIN": {"fullname": "sqlglot.tokens.TokenType.BEGIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BEGIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BEGIN: 'BEGIN'>"}, "sqlglot.tokens.TokenType.BETWEEN": {"fullname": "sqlglot.tokens.TokenType.BETWEEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BETWEEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BETWEEN: 'BETWEEN'>"}, "sqlglot.tokens.TokenType.BOTH": {"fullname": "sqlglot.tokens.TokenType.BOTH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOTH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOTH: 'BOTH'>"}, "sqlglot.tokens.TokenType.BUCKET": {"fullname": "sqlglot.tokens.TokenType.BUCKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.BUCKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BUCKET: 'BUCKET'>"}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"fullname": "sqlglot.tokens.TokenType.BY_DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BY_DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BY_DEFAULT: 'BY_DEFAULT'>"}, "sqlglot.tokens.TokenType.CACHE": {"fullname": "sqlglot.tokens.TokenType.CACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CACHE: 'CACHE'>"}, "sqlglot.tokens.TokenType.CASCADE": {"fullname": "sqlglot.tokens.TokenType.CASCADE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASCADE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASCADE: 'CASCADE'>"}, "sqlglot.tokens.TokenType.CASE": {"fullname": "sqlglot.tokens.TokenType.CASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASE: 'CASE'>"}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"fullname": "sqlglot.tokens.TokenType.CHARACTER_SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHARACTER_SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHARACTER_SET: 'CHARACTER_SET'>"}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"fullname": "sqlglot.tokens.TokenType.CLUSTER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.CLUSTER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CLUSTER_BY: 'CLUSTER_BY'>"}, "sqlglot.tokens.TokenType.COLLATE": {"fullname": "sqlglot.tokens.TokenType.COLLATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLLATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLLATE: 'COLLATE'>"}, "sqlglot.tokens.TokenType.COMMAND": {"fullname": "sqlglot.tokens.TokenType.COMMAND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMAND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMAND: 'COMMAND'>"}, "sqlglot.tokens.TokenType.COMMENT": {"fullname": "sqlglot.tokens.TokenType.COMMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMENT: 'COMMENT'>"}, "sqlglot.tokens.TokenType.COMMIT": {"fullname": "sqlglot.tokens.TokenType.COMMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMIT: 'COMMIT'>"}, "sqlglot.tokens.TokenType.COMPOUND": {"fullname": "sqlglot.tokens.TokenType.COMPOUND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMPOUND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMPOUND: 'COMPOUND'>"}, "sqlglot.tokens.TokenType.CONSTRAINT": {"fullname": "sqlglot.tokens.TokenType.CONSTRAINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.CONSTRAINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CONSTRAINT: 'CONSTRAINT'>"}, "sqlglot.tokens.TokenType.CREATE": {"fullname": "sqlglot.tokens.TokenType.CREATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CREATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CREATE: 'CREATE'>"}, "sqlglot.tokens.TokenType.CROSS": {"fullname": "sqlglot.tokens.TokenType.CROSS", "modulename": "sqlglot.tokens", "qualname": "TokenType.CROSS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CROSS: 'CROSS'>"}, "sqlglot.tokens.TokenType.CUBE": {"fullname": "sqlglot.tokens.TokenType.CUBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CUBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CUBE: 'CUBE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATE: 'CURRENT_DATE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>"}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"fullname": "sqlglot.tokens.TokenType.CURRENT_ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_ROW: 'CURRENT_ROW'>"}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIME: 'CURRENT_TIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>"}, "sqlglot.tokens.TokenType.DEFAULT": {"fullname": "sqlglot.tokens.TokenType.DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DEFAULT: 'DEFAULT'>"}, "sqlglot.tokens.TokenType.DELETE": {"fullname": "sqlglot.tokens.TokenType.DELETE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DELETE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DELETE: 'DELETE'>"}, "sqlglot.tokens.TokenType.DESC": {"fullname": "sqlglot.tokens.TokenType.DESC", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESC: 'DESC'>"}, "sqlglot.tokens.TokenType.DESCRIBE": {"fullname": "sqlglot.tokens.TokenType.DESCRIBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESCRIBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESCRIBE: 'DESCRIBE'>"}, "sqlglot.tokens.TokenType.DISTINCT": {"fullname": "sqlglot.tokens.TokenType.DISTINCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT: 'DISTINCT'>"}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"fullname": "sqlglot.tokens.TokenType.DISTINCT_FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT_FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT_FROM: 'DISTINCT_FROM'>"}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"fullname": "sqlglot.tokens.TokenType.DISTRIBUTE_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTRIBUTE_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>"}, "sqlglot.tokens.TokenType.DIV": {"fullname": "sqlglot.tokens.TokenType.DIV", "modulename": "sqlglot.tokens", "qualname": "TokenType.DIV", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DIV: 'DIV'>"}, "sqlglot.tokens.TokenType.DROP": {"fullname": "sqlglot.tokens.TokenType.DROP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DROP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DROP: 'DROP'>"}, "sqlglot.tokens.TokenType.ELSE": {"fullname": "sqlglot.tokens.TokenType.ELSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ELSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ELSE: 'ELSE'>"}, "sqlglot.tokens.TokenType.END": {"fullname": "sqlglot.tokens.TokenType.END", "modulename": "sqlglot.tokens", "qualname": "TokenType.END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.END: 'END'>"}, "sqlglot.tokens.TokenType.ESCAPE": {"fullname": "sqlglot.tokens.TokenType.ESCAPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ESCAPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ESCAPE: 'ESCAPE'>"}, "sqlglot.tokens.TokenType.EXCEPT": {"fullname": "sqlglot.tokens.TokenType.EXCEPT", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXCEPT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXCEPT: 'EXCEPT'>"}, "sqlglot.tokens.TokenType.EXECUTE": {"fullname": "sqlglot.tokens.TokenType.EXECUTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXECUTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXECUTE: 'EXECUTE'>"}, "sqlglot.tokens.TokenType.EXISTS": {"fullname": "sqlglot.tokens.TokenType.EXISTS", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXISTS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXISTS: 'EXISTS'>"}, "sqlglot.tokens.TokenType.FALSE": {"fullname": "sqlglot.tokens.TokenType.FALSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.FALSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FALSE: 'FALSE'>"}, "sqlglot.tokens.TokenType.FETCH": {"fullname": "sqlglot.tokens.TokenType.FETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.FETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FETCH: 'FETCH'>"}, "sqlglot.tokens.TokenType.FILTER": {"fullname": "sqlglot.tokens.TokenType.FILTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.FILTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FILTER: 'FILTER'>"}, "sqlglot.tokens.TokenType.FINAL": {"fullname": "sqlglot.tokens.TokenType.FINAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FINAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FINAL: 'FINAL'>"}, "sqlglot.tokens.TokenType.FIRST": {"fullname": "sqlglot.tokens.TokenType.FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FIRST: 'FIRST'>"}, "sqlglot.tokens.TokenType.FOLLOWING": {"fullname": "sqlglot.tokens.TokenType.FOLLOWING", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOLLOWING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOLLOWING: 'FOLLOWING'>"}, "sqlglot.tokens.TokenType.FOR": {"fullname": "sqlglot.tokens.TokenType.FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOR: 'FOR'>"}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"fullname": "sqlglot.tokens.TokenType.FOREIGN_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOREIGN_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>"}, "sqlglot.tokens.TokenType.FORMAT": {"fullname": "sqlglot.tokens.TokenType.FORMAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FORMAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FORMAT: 'FORMAT'>"}, "sqlglot.tokens.TokenType.FROM": {"fullname": "sqlglot.tokens.TokenType.FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FROM: 'FROM'>"}, "sqlglot.tokens.TokenType.FULL": {"fullname": "sqlglot.tokens.TokenType.FULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FULL: 'FULL'>"}, "sqlglot.tokens.TokenType.FUNCTION": {"fullname": "sqlglot.tokens.TokenType.FUNCTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.FUNCTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FUNCTION: 'FUNCTION'>"}, "sqlglot.tokens.TokenType.GLOB": {"fullname": "sqlglot.tokens.TokenType.GLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOB: 'GLOB'>"}, "sqlglot.tokens.TokenType.GLOBAL": {"fullname": "sqlglot.tokens.TokenType.GLOBAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOBAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOBAL: 'GLOBAL'>"}, "sqlglot.tokens.TokenType.GROUP_BY": {"fullname": "sqlglot.tokens.TokenType.GROUP_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUP_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUP_BY: 'GROUP_BY'>"}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"fullname": "sqlglot.tokens.TokenType.GROUPING_SETS", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUPING_SETS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUPING_SETS: 'GROUPING_SETS'>"}, "sqlglot.tokens.TokenType.HAVING": {"fullname": "sqlglot.tokens.TokenType.HAVING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HAVING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HAVING: 'HAVING'>"}, "sqlglot.tokens.TokenType.HINT": {"fullname": "sqlglot.tokens.TokenType.HINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.HINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HINT: 'HINT'>"}, "sqlglot.tokens.TokenType.IF": {"fullname": "sqlglot.tokens.TokenType.IF", "modulename": "sqlglot.tokens", "qualname": "TokenType.IF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IF: 'IF'>"}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"fullname": "sqlglot.tokens.TokenType.IGNORE_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IGNORE_NULLS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IGNORE_NULLS: 'IGNORE_NULLS'>"}, "sqlglot.tokens.TokenType.ILIKE": {"fullname": "sqlglot.tokens.TokenType.ILIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE: 'ILIKE'>"}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.ILIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE_ANY: 'ILIKE_ANY'>"}, "sqlglot.tokens.TokenType.IN": {"fullname": "sqlglot.tokens.TokenType.IN", "modulename": "sqlglot.tokens", "qualname": "TokenType.IN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IN: 'IN'>"}, "sqlglot.tokens.TokenType.INDEX": {"fullname": "sqlglot.tokens.TokenType.INDEX", "modulename": "sqlglot.tokens", "qualname": "TokenType.INDEX", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INDEX: 'INDEX'>"}, "sqlglot.tokens.TokenType.INNER": {"fullname": "sqlglot.tokens.TokenType.INNER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INNER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INNER: 'INNER'>"}, "sqlglot.tokens.TokenType.INSERT": {"fullname": "sqlglot.tokens.TokenType.INSERT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INSERT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INSERT: 'INSERT'>"}, "sqlglot.tokens.TokenType.INTERSECT": {"fullname": "sqlglot.tokens.TokenType.INTERSECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERSECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERSECT: 'INTERSECT'>"}, "sqlglot.tokens.TokenType.INTERVAL": {"fullname": "sqlglot.tokens.TokenType.INTERVAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERVAL: 'INTERVAL'>"}, "sqlglot.tokens.TokenType.INTO": {"fullname": "sqlglot.tokens.TokenType.INTO", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTO: 'INTO'>"}, "sqlglot.tokens.TokenType.INTRODUCER": {"fullname": "sqlglot.tokens.TokenType.INTRODUCER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTRODUCER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTRODUCER: 'INTRODUCER'>"}, "sqlglot.tokens.TokenType.IRLIKE": {"fullname": "sqlglot.tokens.TokenType.IRLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IRLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IRLIKE: 'IRLIKE'>"}, "sqlglot.tokens.TokenType.IS": {"fullname": "sqlglot.tokens.TokenType.IS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IS: 'IS'>"}, "sqlglot.tokens.TokenType.ISNULL": {"fullname": "sqlglot.tokens.TokenType.ISNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ISNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ISNULL: 'ISNULL'>"}, "sqlglot.tokens.TokenType.JOIN": {"fullname": "sqlglot.tokens.TokenType.JOIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN: 'JOIN'>"}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"fullname": "sqlglot.tokens.TokenType.JOIN_MARKER", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN_MARKER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN_MARKER: 'JOIN_MARKER'>"}, "sqlglot.tokens.TokenType.LANGUAGE": {"fullname": "sqlglot.tokens.TokenType.LANGUAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LANGUAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LANGUAGE: 'LANGUAGE'>"}, "sqlglot.tokens.TokenType.LATERAL": {"fullname": "sqlglot.tokens.TokenType.LATERAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LATERAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LATERAL: 'LATERAL'>"}, "sqlglot.tokens.TokenType.LAZY": {"fullname": "sqlglot.tokens.TokenType.LAZY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LAZY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LAZY: 'LAZY'>"}, "sqlglot.tokens.TokenType.LEADING": {"fullname": "sqlglot.tokens.TokenType.LEADING", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEADING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEADING: 'LEADING'>"}, "sqlglot.tokens.TokenType.LEFT": {"fullname": "sqlglot.tokens.TokenType.LEFT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEFT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEFT: 'LEFT'>"}, "sqlglot.tokens.TokenType.LIKE": {"fullname": "sqlglot.tokens.TokenType.LIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE: 'LIKE'>"}, "sqlglot.tokens.TokenType.LIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.LIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE_ANY: 'LIKE_ANY'>"}, "sqlglot.tokens.TokenType.LIMIT": {"fullname": "sqlglot.tokens.TokenType.LIMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIMIT: 'LIMIT'>"}, "sqlglot.tokens.TokenType.LOAD_DATA": {"fullname": "sqlglot.tokens.TokenType.LOAD_DATA", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOAD_DATA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOAD_DATA: 'LOAD_DATA'>"}, "sqlglot.tokens.TokenType.LOCAL": {"fullname": "sqlglot.tokens.TokenType.LOCAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOCAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOCAL: 'LOCAL'>"}, "sqlglot.tokens.TokenType.MAP": {"fullname": "sqlglot.tokens.TokenType.MAP", "modulename": "sqlglot.tokens", "qualname": "TokenType.MAP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MAP: 'MAP'>"}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"fullname": "sqlglot.tokens.TokenType.MATCH_RECOGNIZE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATCH_RECOGNIZE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATCH_RECOGNIZE: 'MATCH_RECOGNIZE'>"}, "sqlglot.tokens.TokenType.MATERIALIZED": {"fullname": "sqlglot.tokens.TokenType.MATERIALIZED", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATERIALIZED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATERIALIZED: 'MATERIALIZED'>"}, "sqlglot.tokens.TokenType.MERGE": {"fullname": "sqlglot.tokens.TokenType.MERGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MERGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MERGE: 'MERGE'>"}, "sqlglot.tokens.TokenType.MOD": {"fullname": "sqlglot.tokens.TokenType.MOD", "modulename": "sqlglot.tokens", "qualname": "TokenType.MOD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MOD: 'MOD'>"}, "sqlglot.tokens.TokenType.NATURAL": {"fullname": "sqlglot.tokens.TokenType.NATURAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATURAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATURAL: 'NATURAL'>"}, "sqlglot.tokens.TokenType.NEXT": {"fullname": "sqlglot.tokens.TokenType.NEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT: 'NEXT'>"}, "sqlglot.tokens.TokenType.NO_ACTION": {"fullname": "sqlglot.tokens.TokenType.NO_ACTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.NO_ACTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NO_ACTION: 'NO_ACTION'>"}, "sqlglot.tokens.TokenType.NOTNULL": {"fullname": "sqlglot.tokens.TokenType.NOTNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOTNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOTNULL: 'NOTNULL'>"}, "sqlglot.tokens.TokenType.NULL": {"fullname": "sqlglot.tokens.TokenType.NULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULL: 'NULL'>"}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"fullname": "sqlglot.tokens.TokenType.NULLS_FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLS_FIRST: 'NULLS_FIRST'>"}, "sqlglot.tokens.TokenType.NULLS_LAST": {"fullname": "sqlglot.tokens.TokenType.NULLS_LAST", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLS_LAST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLS_LAST: 'NULLS_LAST'>"}, "sqlglot.tokens.TokenType.OFFSET": {"fullname": "sqlglot.tokens.TokenType.OFFSET", "modulename": "sqlglot.tokens", "qualname": "TokenType.OFFSET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OFFSET: 'OFFSET'>"}, "sqlglot.tokens.TokenType.ON": {"fullname": "sqlglot.tokens.TokenType.ON", "modulename": "sqlglot.tokens", "qualname": "TokenType.ON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ON: 'ON'>"}, "sqlglot.tokens.TokenType.ONLY": {"fullname": "sqlglot.tokens.TokenType.ONLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ONLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ONLY: 'ONLY'>"}, "sqlglot.tokens.TokenType.OPTIONS": {"fullname": "sqlglot.tokens.TokenType.OPTIONS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OPTIONS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OPTIONS: 'OPTIONS'>"}, "sqlglot.tokens.TokenType.ORDER_BY": {"fullname": "sqlglot.tokens.TokenType.ORDER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDER_BY: 'ORDER_BY'>"}, "sqlglot.tokens.TokenType.ORDERED": {"fullname": "sqlglot.tokens.TokenType.ORDERED", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDERED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDERED: 'ORDERED'>"}, "sqlglot.tokens.TokenType.ORDINALITY": {"fullname": "sqlglot.tokens.TokenType.ORDINALITY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDINALITY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDINALITY: 'ORDINALITY'>"}, "sqlglot.tokens.TokenType.OUTER": {"fullname": "sqlglot.tokens.TokenType.OUTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUTER: 'OUTER'>"}, "sqlglot.tokens.TokenType.OUT_OF": {"fullname": "sqlglot.tokens.TokenType.OUT_OF", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUT_OF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUT_OF: 'OUT_OF'>"}, "sqlglot.tokens.TokenType.OVER": {"fullname": "sqlglot.tokens.TokenType.OVER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERLAPS": {"fullname": "sqlglot.tokens.TokenType.OVERLAPS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERLAPS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERLAPS: 'OVERLAPS'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRECEDING": {"fullname": "sqlglot.tokens.TokenType.PRECEDING", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRECEDING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRECEDING: 'PRECEDING'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"fullname": "sqlglot.tokens.TokenType.RESPECT_NULLS", "modulename": "sqlglot.tokens", "qualname": "TokenType.RESPECT_NULLS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RESPECT_NULLS: 'RESPECT_NULLS'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SEED": {"fullname": "sqlglot.tokens.TokenType.SEED", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEED: 'SEED'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.SORTKEY": {"fullname": "sqlglot.tokens.TokenType.SORTKEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORTKEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SORTKEY: 'SORTKEY'>"}, "sqlglot.tokens.TokenType.SORT_BY": {"fullname": "sqlglot.tokens.TokenType.SORT_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORT_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SORT_BY: 'SORT_BY'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRAILING": {"fullname": "sqlglot.tokens.TokenType.TRAILING", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRAILING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRAILING: 'TRAILING'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNBOUNDED": {"fullname": "sqlglot.tokens.TokenType.UNBOUNDED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNBOUNDED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNBOUNDED: 'UNBOUNDED'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNLOGGED": {"fullname": "sqlglot.tokens.TokenType.UNLOGGED", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNLOGGED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNLOGGED: 'UNLOGGED'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH_TIME_ZONE: 'WITH_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH_LOCAL_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH_LOCAL_TIME_ZONE: 'WITH_LOCAL_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"fullname": "sqlglot.tokens.TokenType.WITHIN_GROUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHIN_GROUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITHIN_GROUP: 'WITHIN_GROUP'>"}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"fullname": "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITHOUT_TIME_ZONE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITHOUT_TIME_ZONE: 'WITHOUT_TIME_ZONE'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
  • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in other expressions.\nThis transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using an appropriate Generator.TRANSFORMS function.

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
  • \n
  • to_sql: final transform that converts the resulting expression to a SQL string.
  • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]],\tto_sql: Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.transforms.delegate": {"fullname": "sqlglot.transforms.delegate", "modulename": "sqlglot.transforms", "qualname": "delegate", "kind": "function", "doc": "

Create a new method that delegates to attr. This is useful for creating Generator.TRANSFORMS\nfunctions that delegate to existing generator methods.

\n", "signature": "(attr: str) -> Callable:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
  • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(keywords: Iterable[Sequence[Hashable]]) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
  • \n
  • key: the target key.
  • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
\n", "signature": "(trie: Dict, key: Sequence[Hashable]) -> Tuple[int, Dict]:", "funcdef": "def"}}, "docInfo": {"sqlglot": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5685}, "sqlglot.pretty": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 1, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.schema": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parse": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 124, "bases": 0, "doc": 84}, "sqlglot.parse_one": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 198, "bases": 0, "doc": 99}, "sqlglot.transpile": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 239, "bases": 0, "doc": 177}, "sqlglot.dataframe": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3543}, "sqlglot.dataframe.sql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.select": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.where": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.union": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersect": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.distinct": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 100}, "sqlglot.dataframe.sql.DataFrame.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 217, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.limit": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.hint": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.repartition": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.cache": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.persist": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 20}, "sqlglot.dataframe.sql.GroupedData": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.count": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.mean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.avg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.max": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.min": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.sum": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.pivot": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 63, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_col": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_cols": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.binary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.unary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_literal": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.set_table_name": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.when": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.otherwise": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNotNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.cast": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 27}, "sqlglot.dataframe.sql.Column.startswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.endswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.rlike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.like": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ilike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.substr": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 121, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isin": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 81, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.over": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 177, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dialects": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 764}, "sqlglot.dialects.bigquery": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 7}, "sqlglot.dialects.bigquery.BigQuery": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks.Databricks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.databricks.Databricks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.dialect": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 5}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.HIVE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TRINO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DRILL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 105, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.format_time": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse_into": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 126, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.transpile": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 37, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.rename_func": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.if_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.inline_array_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_ilike_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_tablesample_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_pivot_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_trycast_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_properties_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_position_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.struct_extract_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.var_map_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 71}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 46}, "sqlglot.dialects.dialect.parse_date_delta": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.locate_to_strposition": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestrtotime_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.datestrtodate_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.trim_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_to_time_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.dialects.drill": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.drill.Drill": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.drill.Drill.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.drill.Drill.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.drill.Drill.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.hive": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.hive.Hive.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.hive.Hive.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.hive.Hive.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.mysql.MySQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.oracle.Oracle.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.postgres.Postgres": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.postgres.Postgres.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.presto": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.presto.Presto.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.presto.Presto.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.presto.Presto.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift.Redshift": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 58}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 19}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 16}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 75}, "sqlglot.dialects.snowflake": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 66}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 125}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.dialects.spark": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark.Spark.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark.Spark.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.sqlite": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.sqlite.SQLite.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.tableau": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.tableau.Tableau.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata.Teradata.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.trino": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.trino.Trino": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.trino.Trino.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 495}, "sqlglot.dialects.trino.Trino.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.tsql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.tsql.TSQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.diff": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 6444}, "sqlglot.diff.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Insert.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Remove": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Remove.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Move": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.diff.Move.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Update.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.Keep": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.diff.Keep.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.diff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 206, "bases": 0, "doc": 306}, "sqlglot.diff.ChangeDistiller": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 46}, "sqlglot.diff.ChangeDistiller.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.diff.ChangeDistiller.diff": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 199, "bases": 0, "doc": 3}, "sqlglot.errors": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.errors.ErrorLevel": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.errors.ErrorLevel.IGNORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.WARN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.RAISE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 12}, "sqlglot.errors.SqlglotError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 11}, "sqlglot.errors.UnsupportedError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.errors.ParseError.new": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 207, "bases": 0, "doc": 3}, "sqlglot.errors.TokenError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.OptimizeError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.SchemaError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ExecuteError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.concat_messages": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.errors.merge_errors": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.executor": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 2950}, "sqlglot.executor.execute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 197, "bases": 0, "doc": 115}, "sqlglot.executor.context": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 64}, "sqlglot.executor.context.Context.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 21}, "sqlglot.executor.context.Context.eval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.eval_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.table_iter": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_row": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_index": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_range": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.executor.env": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key.__init__": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.env.filter_nulls": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.null_if_any": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 13, "bases": 0, "doc": 59}, "sqlglot.executor.env.str_position": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.env.substring": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.executor.env.cast": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.env.ordered": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.interval": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.execute": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 16}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 15}, "sqlglot.executor.python.PythonExecutor.context": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.static": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_table": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.hash_join": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.aggregate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.set_operation": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.Python": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.executor.python.Python.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.executor.python.Python.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 495}, "sqlglot.executor.table": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.append": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.pop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.executor.table.Tables": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 87}, "sqlglot.executor.table.ensure_tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.expressions": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 346}, "sqlglot.expressions.Expression.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.this": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.text": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 32}, "sqlglot.expressions.Expression.is_string": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_number": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_int": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.alias": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.expressions.Expression.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Expression.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.append": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 54}, "sqlglot.expressions.Expression.set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 65}, "sqlglot.expressions.Expression.find_all": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 63}, "sqlglot.expressions.Expression.find_ancestor": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.parent_select": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "sqlglot.expressions.Expression.root": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 89}, "sqlglot.expressions.Expression.dfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.bfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.unalias": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 12}, "sqlglot.expressions.Expression.unnest_operands": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.flatten": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 28}, "sqlglot.expressions.Expression.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression.transform": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.expressions.Expression.replace": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 83}, "sqlglot.expressions.Expression.pop": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.assert_is": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 162}, "sqlglot.expressions.Expression.error_messages": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 79}, "sqlglot.expressions.Expression.dump": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.load": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 17}, "sqlglot.expressions.Condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Condition.and_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 173}, "sqlglot.expressions.Condition.or_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 173}, "sqlglot.expressions.Condition.not_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 88}, "sqlglot.expressions.Predicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 13}, "sqlglot.expressions.DerivedTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable.union": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.Unionable.intersect": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 210}, "sqlglot.expressions.Unionable.except_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.UDTF": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Cache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Uncache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Create": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Describe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Set": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetItem": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Show": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UserDefinedFunction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSet": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.With": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithinGroup": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableAlias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.HexString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ByteString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.ColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterColumn": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RenameTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetTag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Comment": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraintKind": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CheckColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CommentColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CompressColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateFormatColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefaultColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EncodeColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InlineLengthColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NotNullColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TitleColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UniqueColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UppercaseColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PathColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Constraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Drop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Filter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Check": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Directory": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ForeignKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unique": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Into": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.From": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Having": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JoinHint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Index": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Introducer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.National": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LoadData": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Partition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Fetch": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Group": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lambda": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Limit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Join.on": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 252}, "sqlglot.expressions.Join.using": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 254}, "sqlglot.expressions.Lateral": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchRecognize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Final": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Offset": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Order": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cluster": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distribute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ordered": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Property": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AfterJournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlgorithmProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BlockCompressionProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ChecksumProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataBlocksizeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefinerProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistStyleProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EngineProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExecuteAsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExternalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FallbackProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FileFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FreespaceProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IsolatedLoadingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LanguageProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LikeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LocationProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LockingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MaterializedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeBlockRatioProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NoPrimaryIndexProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnCommitProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PartitionedByProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReturnsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatDelimitedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatSerdeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SchemaCommentProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SerdeProperties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SqlSecurityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TemporaryProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TransientProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VolatilityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithDataProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithJournalTableProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties.Location": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_NAME": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_WITH": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.from_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.expressions.Qualify": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Return": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reference": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable.subquery": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 213}, "sqlglot.expressions.Subqueryable.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 319}, "sqlglot.expressions.Table": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SystemTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 234}, "sqlglot.expressions.Union.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 174, "bases": 0, "doc": 245}, "sqlglot.expressions.Union.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Except": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unnest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lock": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select.from_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 238}, "sqlglot.expressions.Select.group_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.order_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.sort_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.cluster_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.offset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 174, "bases": 0, "doc": 196}, "sqlglot.expressions.Select.lateral": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 247}, "sqlglot.expressions.Select.join": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 118, "bases": 0, "doc": 628}, "sqlglot.expressions.Select.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 265}, "sqlglot.expressions.Select.having": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.window": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.distinct": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 151}, "sqlglot.expressions.Select.ctas": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 236}, "sqlglot.expressions.Select.lock": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 331}, "sqlglot.expressions.Select.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Subquery.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 8}, "sqlglot.expressions.Subquery.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.TableSample": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 15}, "sqlglot.expressions.Pivot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Window": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WindowSpec": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Where": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Parameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SessionParameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Placeholder": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Boolean": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType.Type": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.DataType.Type.CHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARBINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.FLOAT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DOUBLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSON": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSONB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INTERVAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ARRAY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MAP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UUID": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.STRUCT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULLABLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HSTORE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SUPER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.XML": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.IMAGE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARIANT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.OBJECT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 157, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.PseudoType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructKwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SubqueryPredicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.All": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Any": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exists": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Command": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Transaction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Commit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Rollback": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AddConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DropPartition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Binary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Add": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Connector": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.And": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Or": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseLeftShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseRightShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseXor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Div": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Overlaps": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DPipe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeNEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Distance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Escape": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Glob": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.IntDiv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Is": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Kwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 12}, "sqlglot.expressions.Like": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Mod": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Mul": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.SimilarTo": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Slice": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseNot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Not": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Neg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Aliases": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AtTimeZone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Between": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Bracket": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.In": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeUnit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 10}, "sqlglot.expressions.TimeUnit.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Interval": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IgnoreNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RespectNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 128}, "sqlglot.expressions.Func.from_arg_list": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.default_parser_mappings": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.AggFunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Abs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Anonymous": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxDistinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Array": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GenerateSeries": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayFilter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayJoin": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayUnionAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Avg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AnyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Cast.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.Collate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TryCast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ceil": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Coalesce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Concat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ConcatWs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Count": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDatetime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTimestamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DatetimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DayOfWeek": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WeekOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LastDateOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Extract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimestampAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateFromParts": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Day": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Decode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DiToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Encode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Explode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Floor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Greatest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GroupConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.If": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IfNull": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Initcap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.JSONExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Least": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Length": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Levenshtein": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ln": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log10": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lower": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Map": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Matches": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 22}, "sqlglot.expressions.Max": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Min": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Month": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Nvl2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Posexplode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pow": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.PercentileCont": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PercentileDisc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantiles": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.QuantileIf": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxQuantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RangeN": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReadCSV": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reduce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpLike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpSplit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Repeat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Round": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowNumber": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SafeDivide": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortArray": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Split": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Substring": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NumberToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Struct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sqrt": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Stddev": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevPop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevSamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Trim": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TsOrDsToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDiToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unhex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Upper": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Variance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VariancePop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Week": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.XMLTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Year": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Use": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Merge": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.When": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.maybe_parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 264, "bases": 0, "doc": 231}, "sqlglot.expressions.union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.except_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 235}, "sqlglot.expressions.select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 206}, "sqlglot.expressions.from_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 271}, "sqlglot.expressions.delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 156}, "sqlglot.expressions.condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 334}, "sqlglot.expressions.and_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 180}, "sqlglot.expressions.or_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 180}, "sqlglot.expressions.not_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 152}, "sqlglot.expressions.paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.expressions.to_identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 53}, "sqlglot.expressions.to_interval": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 16}, "sqlglot.expressions.to_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 66}, "sqlglot.expressions.to_column": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 62}, "sqlglot.expressions.alias_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 218, "bases": 0, "doc": 292}, "sqlglot.expressions.subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 197}, "sqlglot.expressions.column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 59}, "sqlglot.expressions.cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 102, "bases": 0, "doc": 122}, "sqlglot.expressions.table_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 58}, "sqlglot.expressions.values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 131, "bases": 0, "doc": 169}, "sqlglot.expressions.var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 168}, "sqlglot.expressions.rename_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 50}, "sqlglot.expressions.convert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 54}, "sqlglot.expressions.replace_children": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 18}, "sqlglot.expressions.column_table_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 129}, "sqlglot.expressions.table_name": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 152}, "sqlglot.expressions.replace_tables": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 176}, "sqlglot.expressions.replace_placeholders": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 25, "bases": 0, "doc": 216}, "sqlglot.expressions.expand": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 200}, "sqlglot.expressions.func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 272}, "sqlglot.expressions.true": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.false": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 7}, "sqlglot.generator": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.generator.Generator": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 495}, "sqlglot.generator.Generator.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 300, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generate": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 28}, "sqlglot.generator.Generator.unsupported": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sep": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.seg": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pad_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.maybe_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.wrap": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.no_identify": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.normalize_func": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.indent": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uncache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.characterset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.column_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.create_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.describe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.prepend_ctes": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablealias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hexstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.directory_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.delete_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.drop_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fetch_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.filter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.index_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.identifier_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.national_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.root_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.locate_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.property_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fallbackproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.journalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.freespaceproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.checksumproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lockingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withdataproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.insert_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.introducer_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pseudotype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.table_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablesample_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pivot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tuple_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.update_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.values_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.var_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.into_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.from_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.group_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.having_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.join_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lambda_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 59, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lateral_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.limit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.offset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lock_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.literal_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.loaddata_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.null_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.boolean_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.order_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cluster_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distribute_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sort_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ordered_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchrecognize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.query_modifiers": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.select_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.schema_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.star_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.structkwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.parameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sessionparameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.placeholder_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.subquery_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.qualify_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unnest_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.where_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_by_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_spec_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withingroup_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.between_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bracket_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.all_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.any_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.exists_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.case_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.constraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.extract_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trim_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.concat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.check_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.foreignkey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unique_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.if_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_unnest_op": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.interval_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.return_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.reference_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.anonymous_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.paren_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.not_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.alias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.aliases_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.attimezone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.add_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.and_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.connector_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseand_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisenot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisexor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.currentdate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.collate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.command_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.comment_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.transaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.commit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rollback_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altercolumn_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.renametable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altertable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.droppartition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.addconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distinct_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ignorenulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.respectnulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intdiv_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dpipe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.div_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.overlaps_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distance_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.eq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.escape_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.glob_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilike_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.is_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.like_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.similarto_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mod_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mul_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeeq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeneq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.or_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.slice_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sub_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trycast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.use_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.binary": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.function_fallback_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.func": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_args": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.text_width": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_time": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.op_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.naked_property": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_operation": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tag_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.token_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.joinhint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.kwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.when_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.merge_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.helper": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.helper.AutoName": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 25}, "sqlglot.helper.seq_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 27}, "sqlglot.helper.ensure_list": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.ensure_collection": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.csv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 55}, "sqlglot.helper.subclasses": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 84}, "sqlglot.helper.apply_index_offset": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 88}, "sqlglot.helper.camel_to_snake_case": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 16}, "sqlglot.helper.while_changing": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 58}, "sqlglot.helper.tsort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 53}, "sqlglot.helper.open_file": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 19}, "sqlglot.helper.csv_reader": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 53}, "sqlglot.helper.find_new_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 50}, "sqlglot.helper.object_to_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 12}, "sqlglot.helper.split_num_words": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 312}, "sqlglot.helper.is_iterable": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 132}, "sqlglot.helper.flatten": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 195}, "sqlglot.helper.count_params": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 26}, "sqlglot.helper.dict_depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 194}, "sqlglot.helper.first": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 16}, "sqlglot.lineage": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.to_html": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.lineage.lineage": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 341, "bases": 0, "doc": 114}, "sqlglot.lineage.LineageHTML": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.lineage.LineageHTML.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 3}, "sqlglot.optimizer": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.annotate_types": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 42, "bases": 0, "doc": 331}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.canonicalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 46}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.coerce_type": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 166}, "sqlglot.optimizer.eliminate_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 195}, "sqlglot.optimizer.eliminate_joins.join_condition": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 46}, "sqlglot.optimizer.eliminate_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 276}, "sqlglot.optimizer.expand_laterals": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 188}, "sqlglot.optimizer.expand_multi_table_selects": {"qualname": 0, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"qualname": 4, "fullname": 10, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 101}, "sqlglot.optimizer.isolate_table_selects": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 172}, "sqlglot.optimizer.merge_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 272}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 32, "bases": 0, "doc": 177}, "sqlglot.optimizer.normalize.normalized": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 171}, "sqlglot.optimizer.normalize.distributive_law": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 39}, "sqlglot.optimizer.optimize_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 132}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.normalize": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.other_table_names": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer.optimize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 669, "bases": 0, "doc": 223}, "sqlglot.optimizer.pushdown_predicates": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 186}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 20}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 31}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 33, "bases": 0, "doc": 201}, "sqlglot.optimizer.qualify_columns": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 209}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_columns.Resolver": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 27}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 50}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"qualname": 4, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_tables": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 190}, "sqlglot.optimizer.scope": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 5}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.CTE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UNION": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 328}, "sqlglot.optimizer.scope.Scope.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.clear_cache": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.branch": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.optimizer.scope.Scope.walk": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.find": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 97}, "sqlglot.optimizer.scope.Scope.find_all": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 90}, "sqlglot.optimizer.scope.Scope.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 63}, "sqlglot.optimizer.scope.Scope.tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.ctes": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.derived_tables": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 43}, "sqlglot.optimizer.scope.Scope.udtfs": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.subqueries": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 44}, "sqlglot.optimizer.scope.Scope.columns": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 36}, "sqlglot.optimizer.scope.Scope.selected_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 69}, "sqlglot.optimizer.scope.Scope.cte_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.selects": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.external_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 35}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 22}, "sqlglot.optimizer.scope.Scope.join_hints": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 30}, "sqlglot.optimizer.scope.Scope.source_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.is_subquery": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.is_union": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_cte": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.scope.Scope.is_root": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_udtf": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.rename_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.add_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.remove_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.traverse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 28}, "sqlglot.optimizer.scope.Scope.ref_count": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 34}, "sqlglot.optimizer.scope.traverse_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 330}, "sqlglot.optimizer.scope.build_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 41}, "sqlglot.optimizer.scope.walk_in_scope": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 83}, "sqlglot.optimizer.simplify": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 138}, "sqlglot.optimizer.simplify.rewrite_between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 31}, "sqlglot.optimizer.simplify.simplify_not": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 25}, "sqlglot.optimizer.simplify.flatten": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 24}, "sqlglot.optimizer.simplify.simplify_connectors": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_compliments": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 19}, "sqlglot.optimizer.simplify.uniq_sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 23}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 58}, "sqlglot.optimizer.simplify.simplify_literals": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify_parens": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_where_true": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.always_true": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_complement": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.eval_boolean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_date": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_interval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.date_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.boolean_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 227}, "sqlglot.optimizer.unnest_subqueries.unnest": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.parser": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parser.parse_var_map": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 174}, "sqlglot.parser.Parser.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 87, "bases": 0, "doc": 70}, "sqlglot.parser.Parser.parse_into": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 159, "bases": 0, "doc": 111}, "sqlglot.parser.Parser.check_errors": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 16}, "sqlglot.parser.Parser.raise_error": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 57, "bases": 0, "doc": 22}, "sqlglot.parser.Parser.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 89, "bases": 0, "doc": 74}, "sqlglot.parser.Parser.validate_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 57}, "sqlglot.planner": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.planner.Step": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Step.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Step.add_dependency": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.planner.Step.to_s": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.planner.Scan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Scan.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Join.from_joins": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.planner.Aggregate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 83, "bases": 0, "doc": 3}, "sqlglot.planner.SetOperation.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.schema.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 8}, "sqlglot.schema.Schema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 57}, "sqlglot.schema.Schema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 56}, "sqlglot.schema.Schema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 56}, "sqlglot.schema.Schema.supported_table_args": {"qualname": 4, "fullname": 6, "annotation": 3, "default_value": 0, "signature": 0, "bases": 0, "doc": 16}, "sqlglot.schema.AbstractMappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 87}, "sqlglot.schema.AbstractMappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 139}, "sqlglot.schema.MappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 128, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 60}, "sqlglot.schema.MappingSchema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 56}, "sqlglot.schema.MappingSchema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 79, "bases": 0, "doc": 56}, "sqlglot.schema.ensure_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.schema.ensure_column_mapping": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.schema.flatten_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 3}, "sqlglot.serde": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.serde.dump": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 12}, "sqlglot.serde.load": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 16}, "sqlglot.time": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.time.format_time": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 108}, "sqlglot.tokens": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.tokens.TokenType.L_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLUS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DCOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMICOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BACKSLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DPIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CARET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TILDA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LR_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOLLAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARAMETER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATIONAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_START": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_END": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SPACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BREAK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NUMBER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATABASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SCHEMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HEX_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BYTE_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOOLEAN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FLOAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOUBLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NVARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARBINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSONB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UUID": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOMETRY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HLLSKETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HSTORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SUPER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.XML": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLMONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWVERSION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IMAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARIANT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OBJECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALIAS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALWAYS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANTI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.APPLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARRAY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASOF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BEGIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BETWEEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOTH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BUCKET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASCADE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLLATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMAND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMPOUND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CONSTRAINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CREATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CROSS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CUBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DEFAULT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DELETE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESCRIBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DIV": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DROP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ELSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.END": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ESCAPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXCEPT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXECUTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXISTS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FALSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FILTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FINAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FIRST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOLLOWING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FORMAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FROM": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FUNCTION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOBAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUP_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HAVING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INDEX": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INNER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INSERT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERSECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERVAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTO": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTRODUCER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IRLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ISNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LANGUAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LATERAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LAZY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEADING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEFT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOAD_DATA": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOCAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MAP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATERIALIZED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MERGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MOD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATURAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NO_ACTION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOTNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLS_LAST": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OFFSET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ONLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OPTIONS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDERED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDINALITY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUT_OF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERLAPS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERWRITE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PERCENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRECEDING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROCEDURE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROPERTIES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUALIFY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUOTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RANGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RECURSIVE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REPLACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RETURNING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REFERENCES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RIGHT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLBACK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLUP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SELECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEPARATOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SHOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SOME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SORTKEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SORT_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRUCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEMPORARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TOP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.THEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRAILING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNBOUNDED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNCACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNLOGGED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNNEST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNPIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UPDATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VALUES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VIEW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VOLATILE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHERE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WINDOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 15, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.var": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Tokenizer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.tokenize": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.transforms.unalias_group": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 146}, "sqlglot.transforms.eliminate_distinct_on": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 66}, "sqlglot.transforms.remove_precision_parameterized_types": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 33}, "sqlglot.transforms.preprocess": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 144, "bases": 0, "doc": 88}, "sqlglot.transforms.delegate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 29}, "sqlglot.trie": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.trie.new_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 185}, "sqlglot.trie.in_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 299}}, "length": 1691, "save": true}, "index": {"qualname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 48, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}}, "df": 6}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 21}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 9, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 28}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 5}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}}, "df": 5}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 5}}}}}}}}, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 13, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 36, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 244, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}}, "df": 6}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 11, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 9, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 2}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 14}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 5}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 7, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}}, "df": 9}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 6}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}}, "df": 4}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 30, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}}, "df": 4}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TableFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 14, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 1, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 288}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 7}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 10}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 4}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 59, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 2}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 5}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 48, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 10}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 5, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 12}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 6}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 3}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 6}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 33, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 5}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 60}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 8}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 21}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 4}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}}, "df": 5}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 7}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 22, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 6, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 9, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 6}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 12, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}}, "df": 9}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}}, "df": 13}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Greatest": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 273}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 6}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 4}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}}, "df": 10}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 43, "s": {"docs": {"sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 8}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}, "s": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 2}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 9}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 3}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 2}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Least": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 2}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}}, "df": 8}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 6}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 12}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 5}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 4, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 3}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}}, "df": 6}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Quantiles": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.QuantileIf": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 4}}}}}}, "fullname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 48, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}}, "df": 349, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 1691, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 7}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 24, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 44, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 11, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 4, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 9, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 2}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 11}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}}, "df": 15}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 19}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 7}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 7}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 21}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 9, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.reset": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}}, "df": 30}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 5}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 7, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 129}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 6}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 5}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 3}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.append": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.pop": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 41, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}}, "df": 5}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TableFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 14, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 1, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 298}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 288}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.4142135623730951}}, "df": 9}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.4142135623730951}}, "df": 11}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 13, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 4}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 59, "s": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 6}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 111, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 6}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 60}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 8}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 58, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 192}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}}, "df": 15}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 4}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 2}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 5}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 48, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 14}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 5, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.filter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.sort": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_row": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_index": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 13}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 6}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 3}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 5}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 7}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 7}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 22, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}}, "df": 2, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 6, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 9, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 4}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 6}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 12, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}}, "df": 9}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}}, "df": 13}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Greatest": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.create_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.index_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.property_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.var_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.into_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.from_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.group_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.having_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.null_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.star_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.where_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.between_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.all_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.any_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.case_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.check_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.return_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.not_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.add_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.and_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.command_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.div_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.is_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.like_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.or_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.use_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.token_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.when_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.4142135623730951}}, "df": 274}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 6}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}}, "df": 12}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 43, "s": {"docs": {"sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 565}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}}, "df": 5}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 59}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 8}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 10}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 18}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 9}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 3}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}}, "df": 2}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 3}}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Least": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 21}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}}, "df": 8, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 2}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1.4142135623730951}}, "df": 9}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 6}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 13}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 5}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 3}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}}, "df": 13}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Quantiles": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.QuantileIf": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}}, "df": 4}}}}}}, "annotation": {"root": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}}, "df": 10, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}}}}, "default_value": {"root": {"1": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}}, "df": 1}, "6": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 378, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 378, "e": {"docs": {"sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 8}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 1}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 6}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {"sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}}, "df": 1, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 378, "e": {"docs": {"sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 20}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "v": {"docs": {"sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}}, "df": 1, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 371}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BOTH": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}}, "df": 2}}}}, "y": {"docs": {"sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.4142135623730951}}, "df": 7, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.BUCKET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASCADE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 5}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}}, "df": 2}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}}, "df": 1}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}}, "df": 2, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 3, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.TRAILING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 53}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SEED": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 287}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4}}}}}}}}}, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "q": {"docs": {"sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.4142135623730951}}, "df": 4, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {"sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}}, "df": 1}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}}, "df": 1}}, "y": {"docs": {"sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 3}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}}, "df": 1}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 1}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}}, "df": 2}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}}, "df": 2, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 2}}}}, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.4142135623730951}}, "df": 4}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "signature": {"root": {"0": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5, "x": {"7": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "c": {"2": {"6": {"0": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"4": {"3": {"1": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "1": {"0": {"7": {"8": {"0": {"4": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"6": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"9": {"2": {"docs": {}, "df": 0, "d": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "6": {"docs": {}, "df": 0, "c": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}}, "8": {"7": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "c": {"6": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "a": {"7": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}}, "f": {"8": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "a": {"7": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "b": {"9": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "9": {"docs": {}, "df": 0, "b": {"0": {"1": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"4": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "docs": {}, "df": 0}}, "1": {"0": {"0": {"docs": {"sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"8": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "4": {"0": {"4": {"7": {"2": {"8": {"0": {"3": {"8": {"2": {"1": {"8": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"2": {"5": {"8": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"7": {"5": {"2": {"0": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"0": {"0": {"5": {"2": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"6": {"6": {"5": {"7": {"6": {"docs": {"sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"2": {"0": {"8": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"5": {"0": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"3": {"8": {"9": {"4": {"4": {"docs": {"sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"7": {"9": {"6": {"1": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"0": {"6": {"9": {"3": {"2": {"8": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"8": {"7": {"3": {"6": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"3": {"5": {"4": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"7": {"2": {"0": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"1": {"0": {"9": {"1": {"2": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"2": {"5": {"6": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"7": {"1": {"0": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"9": {"3": {"7": {"6": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"5": {"9": {"0": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"8": {"6": {"4": {"0": {"0": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"4": {"7": {"6": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"2": {"0": {"7": {"8": {"4": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"2": {"2": {"0": {"8": {"6": {"4": {"docs": {"sqlglot.dataframe.sql.Column.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"2": {"9": {"5": {"2": {"9": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"1": {"0": {"2": {"5": {"8": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"9": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 2}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 2}, "sqlglot.dataframe.sql.Column.between": {"tf": 2}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 2}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 2}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 36}, "docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}, "6": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "8": {"0": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot.parse": {"tf": 10.099504938362077}, "sqlglot.parse_one": {"tf": 12.727922061357855}, "sqlglot.transpile": {"tf": 14}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 6}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 12.806248474865697}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 14.2828568570857}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 6.4031242374328485}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 12.041594578792296}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 7.14142842854285}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 10}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 13.19090595827292}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 5.0990195135927845}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 8.12403840463596}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 8}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 9.327379053088816}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 6.782329983125268}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 9.16515138991168}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 8.602325267042627}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 7.0710678118654755}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 7.54983443527075}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 8.831760866327848}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 9.797958971132712}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 8.54400374531753}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.Column.copy": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.alias": {"tf": 6}, "sqlglot.dataframe.sql.Column.asc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.when": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 6}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.cast": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 6}, "sqlglot.dataframe.sql.Column.like": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.substr": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.Column.isin": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.between": {"tf": 8.660254037844387}, "sqlglot.dataframe.sql.Column.over": {"tf": 7.211102550927978}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 10.908712114635714}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 12.083045973594572}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 5.744562646538029}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 6}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 10}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 4.795831523312719}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 6.557438524302}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 7.615773105863909}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 7.745966692414834}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 9.273618495495704}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 7.615773105863909}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 10.099504938362077}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 5.5677643628300215}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.rename_func": {"tf": 6.928203230275509}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.if_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 8.48528137423857}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 8.660254037844387}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 8}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 4.898979485566356}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.trim_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 4}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 5.291502622129181}, "sqlglot.diff.Insert.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Remove.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Move.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Update.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.Keep.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.diff": {"tf": 12.96148139681572}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 5.656854249492381}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 12.727922061357855}, "sqlglot.errors.ParseError.__init__": {"tf": 6.48074069840786}, "sqlglot.errors.ParseError.new": {"tf": 13.038404810405298}, "sqlglot.errors.concat_messages": {"tf": 5.385164807134504}, "sqlglot.errors.merge_errors": {"tf": 6.48074069840786}, "sqlglot.executor.execute": {"tf": 12.727922061357855}, "sqlglot.executor.context.Context.__init__": {"tf": 7.416198487095663}, "sqlglot.executor.context.Context.eval": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.context.Context.table_iter": {"tf": 7.681145747868608}, "sqlglot.executor.context.Context.filter": {"tf": 4}, "sqlglot.executor.context.Context.sort": {"tf": 4}, "sqlglot.executor.context.Context.set_row": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_index": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_range": {"tf": 5.291502622129181}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.env.filter_nulls": {"tf": 4.242640687119285}, "sqlglot.executor.env.null_if_any": {"tf": 3.4641016151377544}, "sqlglot.executor.env.str_position": {"tf": 4.69041575982343}, "sqlglot.executor.env.substring": {"tf": 5.0990195135927845}, "sqlglot.executor.env.cast": {"tf": 3.7416573867739413}, "sqlglot.executor.env.ordered": {"tf": 4.242640687119285}, "sqlglot.executor.env.interval": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 4.47213595499958}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 3.1622776601683795}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 4.795831523312719}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 4.69041575982343}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 4.242640687119285}, "sqlglot.executor.table.Table.__init__": {"tf": 4.898979485566356}, "sqlglot.executor.table.Table.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.table.Table.append": {"tf": 3.7416573867739413}, "sqlglot.executor.table.Table.pop": {"tf": 3.1622776601683795}, "sqlglot.executor.table.TableIter.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RowReader.__init__": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.__init__": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.text": {"tf": 4}, "sqlglot.expressions.Expression.copy": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.append": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.set": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.find": {"tf": 6.6332495807108}, "sqlglot.expressions.Expression.find_all": {"tf": 6.6332495807108}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 6}, "sqlglot.expressions.Expression.root": {"tf": 4.47213595499958}, "sqlglot.expressions.Expression.walk": {"tf": 5.0990195135927845}, "sqlglot.expressions.Expression.dfs": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.bfs": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.flatten": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.sql": {"tf": 9.055385138137417}, "sqlglot.expressions.Expression.transform": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.replace": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.pop": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.assert_is": {"tf": 3.872983346207417}, "sqlglot.expressions.Expression.error_messages": {"tf": 6}, "sqlglot.expressions.Expression.dump": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.load": {"tf": 3.7416573867739413}, "sqlglot.expressions.Condition.and_": {"tf": 5.477225575051661}, "sqlglot.expressions.Condition.or_": {"tf": 5.477225575051661}, "sqlglot.expressions.Condition.not_": {"tf": 3.1622776601683795}, "sqlglot.expressions.Unionable.union": {"tf": 6}, "sqlglot.expressions.Unionable.intersect": {"tf": 6}, "sqlglot.expressions.Unionable.except_": {"tf": 6}, "sqlglot.expressions.Literal.number": {"tf": 4.898979485566356}, "sqlglot.expressions.Literal.string": {"tf": 4.898979485566356}, "sqlglot.expressions.Join.on": {"tf": 6.782329983125268}, "sqlglot.expressions.Join.using": {"tf": 6.782329983125268}, "sqlglot.expressions.Properties.from_dict": {"tf": 4.898979485566356}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 6}, "sqlglot.expressions.Subqueryable.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Subqueryable.with_": {"tf": 8.06225774829855}, "sqlglot.expressions.Union.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Union.select": {"tf": 12}, "sqlglot.expressions.Select.from_": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.group_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.order_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.sort_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.cluster_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.offset": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.select": {"tf": 12}, "sqlglot.expressions.Select.lateral": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.join": {"tf": 9.797958971132712}, "sqlglot.expressions.Select.where": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.having": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.window": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.distinct": {"tf": 6}, "sqlglot.expressions.Select.ctas": {"tf": 7.745966692414834}, "sqlglot.expressions.Select.lock": {"tf": 7.14142842854285}, "sqlglot.expressions.Subquery.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.DataType.build": {"tf": 11.357816691600547}, "sqlglot.expressions.DataType.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.from_arg_list": {"tf": 3.7416573867739413}, "sqlglot.expressions.Func.sql_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.sql_name": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 3.1622776601683795}, "sqlglot.expressions.Cast.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.maybe_parse": {"tf": 14.696938456699069}, "sqlglot.expressions.union": {"tf": 6}, "sqlglot.expressions.intersect": {"tf": 6}, "sqlglot.expressions.except_": {"tf": 6}, "sqlglot.expressions.select": {"tf": 10.44030650891055}, "sqlglot.expressions.from_": {"tf": 6}, "sqlglot.expressions.update": {"tf": 7.810249675906654}, "sqlglot.expressions.delete": {"tf": 6.48074069840786}, "sqlglot.expressions.condition": {"tf": 5.830951894845301}, "sqlglot.expressions.and_": {"tf": 6}, "sqlglot.expressions.or_": {"tf": 6}, "sqlglot.expressions.not_": {"tf": 5.830951894845301}, "sqlglot.expressions.paren": {"tf": 4.47213595499958}, "sqlglot.expressions.to_identifier": {"tf": 4.242640687119285}, "sqlglot.expressions.to_interval": {"tf": 6.164414002968976}, "sqlglot.expressions.to_table": {"tf": 7.745966692414834}, "sqlglot.expressions.to_column": {"tf": 6.708203932499369}, "sqlglot.expressions.alias_": {"tf": 13.416407864998739}, "sqlglot.expressions.subquery": {"tf": 5.656854249492381}, "sqlglot.expressions.column": {"tf": 11.575836902790225}, "sqlglot.expressions.cast": {"tf": 9.16515138991168}, "sqlglot.expressions.table_": {"tf": 7.54983443527075}, "sqlglot.expressions.values": {"tf": 10.44030650891055}, "sqlglot.expressions.var": {"tf": 6.928203230275509}, "sqlglot.expressions.rename_table": {"tf": 7.745966692414834}, "sqlglot.expressions.convert": {"tf": 4.47213595499958}, "sqlglot.expressions.replace_children": {"tf": 3.7416573867739413}, "sqlglot.expressions.column_table_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.table_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.replace_tables": {"tf": 3.7416573867739413}, "sqlglot.expressions.replace_placeholders": {"tf": 4.69041575982343}, "sqlglot.expressions.expand": {"tf": 8.306623862918075}, "sqlglot.expressions.func": {"tf": 10.04987562112089}, "sqlglot.expressions.true": {"tf": 2.6457513110645907}, "sqlglot.expressions.false": {"tf": 2.6457513110645907}, "sqlglot.expressions.null": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator.__init__": {"tf": 15.033296378372908}, "sqlglot.generator.Generator.generate": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.unsupported": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.sep": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.seg": {"tf": 6}, "sqlglot.generator.Generator.pad_comment": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.maybe_comment": {"tf": 6}, "sqlglot.generator.Generator.wrap": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.no_identify": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.indent": {"tf": 9.327379053088816}, "sqlglot.generator.Generator.sql": {"tf": 8.94427190999916}, "sqlglot.generator.Generator.uncache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.characterset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columndef_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.create_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 6}, "sqlglot.generator.Generator.with_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.directory_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.delete_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.drop_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fetch_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.filter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.index_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.identifier_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.national_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.root_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties": {"tf": 9.797958971132712}, "sqlglot.generator.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.locate_properties": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.property_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.insert_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.introducer_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.table_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pivot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tuple_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.var_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.into_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.from_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.group_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.having_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.join_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lambda_sql": {"tf": 6.855654600401044}, "sqlglot.generator.Generator.lateral_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.limit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lock_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.literal_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.null_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.boolean_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.order_sql": {"tf": 6.48074069840786}, "sqlglot.generator.Generator.cluster_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distribute_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sort_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ordered_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.generator.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.schema_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.star_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.parameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.subquery_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.qualify_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unnest_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.where_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.window_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 6.557438524302}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.between_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bracket_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.all_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.any_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.exists_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.case_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.constraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.extract_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trim_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.concat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.check_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unique_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.return_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.reference_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.paren_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.not_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.alias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.aliases_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.add_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.and_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.connector_sql": {"tf": 6}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.collate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.command_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.comment_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.commit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rollback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altertable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distinct_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.div_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distance_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.eq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.escape_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.glob_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilike_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.is_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.like_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.similarto_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mul_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.or_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.slice_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sub_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trycast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.use_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.binary": {"tf": 6}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.func": {"tf": 7.483314773547883}, "sqlglot.generator.Generator.format_args": {"tf": 6.708203932499369}, "sqlglot.generator.Generator.text_width": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.format_time": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.expressions": {"tf": 10.677078252031311}, "sqlglot.generator.Generator.op_expressions": {"tf": 7.3484692283495345}, "sqlglot.generator.Generator.naked_property": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_operation": {"tf": 6}, "sqlglot.generator.Generator.tag_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.token_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.when_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.merge_sql": {"tf": 5.291502622129181}, "sqlglot.helper.seq_get": {"tf": 6.164414002968976}, "sqlglot.helper.ensure_list": {"tf": 3.1622776601683795}, "sqlglot.helper.ensure_collection": {"tf": 3.1622776601683795}, "sqlglot.helper.csv": {"tf": 5.477225575051661}, "sqlglot.helper.subclasses": {"tf": 9.38083151964686}, "sqlglot.helper.apply_index_offset": {"tf": 6.6332495807108}, "sqlglot.helper.camel_to_snake_case": {"tf": 4}, "sqlglot.helper.while_changing": {"tf": 8}, "sqlglot.helper.tsort": {"tf": 6.324555320336759}, "sqlglot.helper.open_file": {"tf": 3.872983346207417}, "sqlglot.helper.csv_reader": {"tf": 4.898979485566356}, "sqlglot.helper.find_new_name": {"tf": 5.385164807134504}, "sqlglot.helper.object_to_dict": {"tf": 4.69041575982343}, "sqlglot.helper.split_num_words": {"tf": 7.615773105863909}, "sqlglot.helper.is_iterable": {"tf": 4}, "sqlglot.helper.flatten": {"tf": 6.082762530298219}, "sqlglot.helper.count_params": {"tf": 4}, "sqlglot.helper.dict_depth": {"tf": 4}, "sqlglot.helper.first": {"tf": 5}, "sqlglot.lineage.Node.__init__": {"tf": 9}, "sqlglot.lineage.Node.walk": {"tf": 5}, "sqlglot.lineage.Node.to_html": {"tf": 5.0990195135927845}, "sqlglot.lineage.lineage": {"tf": 16.522711641858304}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 10.44030650891055}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 5.830951894845301}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 5.291502622129181}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 3.7416573867739413}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 5.744562646538029}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 5.744562646538029}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 5.744562646538029}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 3.1622776601683795}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 4.242640687119285}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3.1622776601683795}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalize": {"tf": 5.0990195135927845}, "sqlglot.optimizer.normalize.normalized": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 4.242640687119285}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 3.7416573867739413}, "sqlglot.optimizer.optimizer.optimize": {"tf": 22.40535650240808}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.1622776601683795}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 3.7416573867739413}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 5.0990195135927845}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 3.1622776601683795}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 5.744562646538029}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 4.69041575982343}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 5.830951894845301}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 8.06225774829855}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.find": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.build_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 5.744562646538029}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.flatten": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.always_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.is_complement": {"tf": 3.7416573867739413}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.extract_date": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.date_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 4.69041575982343}, "sqlglot.parser.parse_var_map": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.__init__": {"tf": 11.269427669584644}, "sqlglot.parser.Parser.reset": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.parse": {"tf": 8.426149773176359}, "sqlglot.parser.Parser.parse_into": {"tf": 11.313708498984761}, "sqlglot.parser.Parser.check_errors": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser.raise_error": {"tf": 6.855654600401044}, "sqlglot.parser.Parser.expression": {"tf": 8.54400374531753}, "sqlglot.parser.Parser.validate_expression": {"tf": 7.0710678118654755}, "sqlglot.planner.Plan.__init__": {"tf": 4.47213595499958}, "sqlglot.planner.Step.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Step.add_dependency": {"tf": 5.291502622129181}, "sqlglot.planner.Step.to_s": {"tf": 5.0990195135927845}, "sqlglot.planner.Scan.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Join.from_joins": {"tf": 8.888194417315589}, "sqlglot.planner.SetOperation.__init__": {"tf": 8.306623862918075}, "sqlglot.planner.SetOperation.from_expression": {"tf": 8.602325267042627}, "sqlglot.schema.Schema.add_table": {"tf": 9.539392014169456}, "sqlglot.schema.Schema.column_names": {"tf": 7.416198487095663}, "sqlglot.schema.Schema.get_column_type": {"tf": 7.745966692414834}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 4.795831523312719}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 5.744562646538029}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 8.48528137423857}, "sqlglot.schema.MappingSchema.__init__": {"tf": 10.295630140987}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 6.164414002968976}, "sqlglot.schema.MappingSchema.copy": {"tf": 5.0990195135927845}, "sqlglot.schema.MappingSchema.add_table": {"tf": 9.539392014169456}, "sqlglot.schema.MappingSchema.column_names": {"tf": 7.416198487095663}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 8.06225774829855}, "sqlglot.schema.ensure_schema": {"tf": 4.898979485566356}, "sqlglot.schema.ensure_column_mapping": {"tf": 7.483314773547883}, "sqlglot.schema.flatten_schema": {"tf": 7.54983443527075}, "sqlglot.serde.dump": {"tf": 11.045361017187261}, "sqlglot.serde.load": {"tf": 11.045361017187261}, "sqlglot.time.format_time": {"tf": 7.810249675906654}, "sqlglot.tokens.Token.__init__": {"tf": 9}, "sqlglot.tokens.Token.number": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.string": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.identifier": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.var": {"tf": 5.291502622129181}, "sqlglot.tokens.Tokenizer.reset": {"tf": 3.4641016151377544}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 5.744562646538029}, "sqlglot.transforms.unalias_group": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 5.744562646538029}, "sqlglot.transforms.preprocess": {"tf": 10.816653826391969}, "sqlglot.transforms.delegate": {"tf": 4}, "sqlglot.trie.new_trie": {"tf": 4.898979485566356}, "sqlglot.trie.in_trie": {"tf": 6.244997998398398}}, "df": 697, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 108, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1.7320508075688772}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 3}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 3}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2.23606797749979}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2.449489742783178}}, "df": 465}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 2.449489742783178}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 2}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 390, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}}, "df": 1}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 4}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.star_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 12}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 482}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.4142135623730951}}, "df": 24, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16}}}}}}, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 9}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 18}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 7}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.sort_sql": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 5, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.rollback_sql": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 67}}, "t": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 2}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.unique_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.uncache_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.generator.Generator.use_sql": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 2.6457513110645907}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.expressions.Expression.sql": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.__init__": {"tf": 2.23606797749979}}, "df": 54, "s": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}}, "df": 17}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 36}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 9}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2.23606797749979}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {"sqlglot.generator.Generator.div_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 89, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 13}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {"sqlglot.optimizer.simplify.date_literal": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "g": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}}, "df": 3}}}}, "b": {"docs": {"sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.drop_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.dpipe_sql": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.dot_sql": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.helper.first": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 5, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 38, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 11}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 50}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 26, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 4}}}}, "g": {"docs": {"sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 1}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 5}}}, "o": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 7, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 10}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 3.1622776601683795}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 2}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 124, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 40}}}}}}, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 26}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.national_sql": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.generator.Generator.neq_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}}, "df": 2}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 52}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 59}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}}, "df": 11}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.overlaps_sql": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {"sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "r": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.ordered_sql": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 53}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.like_sql": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 5, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.limit_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 26, "e": {"docs": {"sqlglot.generator.Generator.lte_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {"sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}}, "df": 8, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 3, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Plan.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 370, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 360}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.generator.Generator.exists_sql": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.extract_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 6}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 7}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {"sqlglot.generator.Generator.eq_sql": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.in_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 33, "o": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}}, "df": 3}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 3}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.introducer_sql": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}}, "df": 4}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}}, "df": 2}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.generator.Generator.is_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.collate_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 18}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.when": {"tf": 2}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.substr": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 50, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 8}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 5}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.constraint_sql": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.concat_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 27}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.command_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.commit_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 30}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 15}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}}, "df": 4}, "e": {"docs": {"sqlglot.generator.Generator.case_sql": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.cache_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}}, "df": 3}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.check_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1}}, "df": 9}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.generator.Generator.when_sql": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 35, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.boolean_sql": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bracket_sql": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.binary": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.between_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19}}}}}}}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 2}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "x": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 2}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 27, "e": {"docs": {"sqlglot.generator.Generator.gte_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 24}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.glob_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 22}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}}, "df": 3, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.filter_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.fetch_sql": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 17, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 4}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.parameter_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.partition_sql": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}}, "df": 2}}, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}}, "df": 11}}}, "y": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 3}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.placeholder_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.hint_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.having_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 31}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}}, "df": 20}, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.all_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.aliases_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 17}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}}, "df": 15}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.242640687119285}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.add_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 7, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.helper.open_file": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}}, "df": 4}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 3}}}}}}}}}, "bases": {"root": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 81, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 6}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}}, "df": 5}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}}, "df": 15, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}}, "df": 32}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 14}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 18}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 17}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}}, "df": 17}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}}, "df": 18}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AfterJournalProperty": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.TableFormatProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatilityProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 43}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 20}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "~": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}}, "df": 38}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.4142135623730951}}, "df": 3}}}, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.StructKwarg": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}}, "df": 96}}}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}, "m": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {"sqlglot.schema.Schema": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.Quantiles": {"tf": 1}, "sqlglot.expressions.QuantileIf": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 21}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 13}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 18}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TryCast": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}}, "df": 4}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}}, "df": 3}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}}, "df": 120}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 3}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}, "doc": {"root": {"0": {"0": {"0": {"9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"4": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "5": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"5": {"4": {"5": {"5": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"0": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}}}}, "2": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"2": {"8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"1": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"1": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"5": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"7": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "5": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 6.48074069840786}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 38, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "1": {"0": {"0": {"0": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "2": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "b": {"1": {"4": {"2": {"0": {"0": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"0": {"4": {"0": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}}, "df": 4, "^": {"1": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "1": {"4": {"5": {"docs": {}, "df": 0, "/": {"2": {"6": {"4": {"2": {"9": {"3": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "2": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "6": {"3": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "4": {"1": {"3": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"1": {"8": {"0": {"8": {"8": {"0": {"2": {"8": {"2": {"9": {"5": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "9": {"8": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 6}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}}, "2": {"0": {"0": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "4": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "5": {"1": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"4": {"2": {"9": {"8": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 2}, "9": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43}, "3": {"1": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}, "7": {"7": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 6.855654600401044}, "sqlglot.dataframe": {"tf": 7.0710678118654755}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 4}, "sqlglot.expressions.subquery": {"tf": 2.8284271247461903}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 3.1622776601683795}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 3.7416573867739413}, "sqlglot.trie.in_trie": {"tf": 2.8284271247461903}}, "df": 84}, "docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 48}, "4": {"0": {"0": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"4": {"3": {"4": {"1": {"6": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"9": {"8": {"3": {"1": {"3": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"9": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "9": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 26}, "5": {"0": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 7}, "6": {"0": {"6": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}}, "df": 2, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "7": {"0": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"docs": {}, "df": 0, "\u2013": {"7": {"4": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "6": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "9": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "8": {"0": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}, "9": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "9": {"0": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "7": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 61.318838867023565}, "sqlglot.pretty": {"tf": 1.7320508075688772}, "sqlglot.schema": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 5.916079783099616}, "sqlglot.parse_one": {"tf": 6.324555320336759}, "sqlglot.transpile": {"tf": 7.211102550927978}, "sqlglot.dataframe": {"tf": 48.86716689148246}, "sqlglot.dataframe.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.like": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 21.817424229271428}, "sqlglot.dialects.bigquery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator.setitem_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator.set_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.oracle.Oracle.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.snowflake.Snowflake.Generator.ilikeany_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.likeany_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.spark.Spark.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 11.40175425099138}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 50.556898639058154}, "sqlglot.diff.Insert": {"tf": 1.4142135623730951}, "sqlglot.diff.Insert.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Remove": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Update": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Keep": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 11.313708498984761}, "sqlglot.diff.ChangeDistiller": {"tf": 2.6457513110645907}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.7320508075688772}, "sqlglot.errors": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.7320508075688772}, "sqlglot.errors.SqlglotError": {"tf": 1.7320508075688772}, "sqlglot.errors.UnsupportedError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.__init__": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.new": {"tf": 1.7320508075688772}, "sqlglot.errors.TokenError": {"tf": 1.7320508075688772}, "sqlglot.errors.OptimizeError": {"tf": 1.7320508075688772}, "sqlglot.errors.SchemaError": {"tf": 1.7320508075688772}, "sqlglot.errors.ExecuteError": {"tf": 1.7320508075688772}, "sqlglot.errors.concat_messages": {"tf": 1.7320508075688772}, "sqlglot.errors.merge_errors": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 35.11409973215888}, "sqlglot.executor.execute": {"tf": 7}, "sqlglot.executor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 3}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.filter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_row": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_index": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_range": {"tf": 1.7320508075688772}, "sqlglot.executor.env": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.filter_nulls": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 4.58257569495584}, "sqlglot.executor.env.str_position": {"tf": 1.7320508075688772}, "sqlglot.executor.env.substring": {"tf": 1.7320508075688772}, "sqlglot.executor.env.cast": {"tf": 1.7320508075688772}, "sqlglot.executor.env.ordered": {"tf": 1.7320508075688772}, "sqlglot.executor.env.interval": {"tf": 1.7320508075688772}, "sqlglot.executor.python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 11.40175425099138}, "sqlglot.executor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.append": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.pop": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 4}, "sqlglot.expressions.Expression": {"tf": 10.954451150103322}, "sqlglot.expressions.Expression.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.this": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_int": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Expression.copy": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.set": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.depth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_all": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.parent_select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.dfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.bfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unalias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.sql": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.transform": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.replace": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.pop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 9.643650760992955}, "sqlglot.expressions.Expression.error_messages": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.dump": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 9.746794344808963}, "sqlglot.expressions.Condition.or_": {"tf": 9.746794344808963}, "sqlglot.expressions.Condition.not_": {"tf": 7.874007874011811}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DerivedTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 10.723805294763608}, "sqlglot.expressions.Unionable.intersect": {"tf": 10.677078252031311}, "sqlglot.expressions.Unionable.except_": {"tf": 10.723805294763608}, "sqlglot.expressions.UDTF": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Uncache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Create": {"tf": 1.7320508075688772}, "sqlglot.expressions.Describe": {"tf": 1.7320508075688772}, "sqlglot.expressions.Set": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetItem": {"tf": 1.7320508075688772}, "sqlglot.expressions.Show": {"tf": 1.7320508075688772}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSet": {"tf": 1.7320508075688772}, "sqlglot.expressions.With": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithinGroup": {"tf": 1.7320508075688772}, "sqlglot.expressions.CTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableAlias": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitString": {"tf": 1.7320508075688772}, "sqlglot.expressions.HexString": {"tf": 1.7320508075688772}, "sqlglot.expressions.ByteString": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.ColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterColumn": {"tf": 1.7320508075688772}, "sqlglot.expressions.RenameTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetTag": {"tf": 1.7320508075688772}, "sqlglot.expressions.Comment": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Constraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Drop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Filter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Check": {"tf": 1.7320508075688772}, "sqlglot.expressions.Directory": {"tf": 1.7320508075688772}, "sqlglot.expressions.ForeignKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unique": {"tf": 1.7320508075688772}, "sqlglot.expressions.Into": {"tf": 1.7320508075688772}, "sqlglot.expressions.From": {"tf": 1.7320508075688772}, "sqlglot.expressions.Having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hint": {"tf": 1.7320508075688772}, "sqlglot.expressions.JoinHint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Index": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.Introducer": {"tf": 1.7320508075688772}, "sqlglot.expressions.National": {"tf": 1.7320508075688772}, "sqlglot.expressions.LoadData": {"tf": 1.7320508075688772}, "sqlglot.expressions.Partition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Fetch": {"tf": 1.7320508075688772}, "sqlglot.expressions.Group": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lambda": {"tf": 1.7320508075688772}, "sqlglot.expressions.Limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 11.40175425099138}, "sqlglot.expressions.Join.using": {"tf": 11.704699910719626}, "sqlglot.expressions.Lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchRecognize": {"tf": 1.7320508075688772}, "sqlglot.expressions.Final": {"tf": 1.7320508075688772}, "sqlglot.expressions.Offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Order": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cluster": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distribute": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sort": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ordered": {"tf": 1.7320508075688772}, "sqlglot.expressions.Property": {"tf": 1.7320508075688772}, "sqlglot.expressions.AfterJournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ChecksumProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefinerProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistStyleProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.EngineProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExternalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FallbackProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FileFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FreespaceProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.JournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LanguageProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LocationProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LockingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MaterializedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnCommitProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReturnsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SerdeProperties": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TemporaryProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TransientProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.VolatilityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithDataProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Return": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reference": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 11.832159566199232}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 12.767145334803704}, "sqlglot.expressions.Table": {"tf": 1.7320508075688772}, "sqlglot.expressions.SystemTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 11.090536506409418}, "sqlglot.expressions.Union.select": {"tf": 10.723805294763608}, "sqlglot.expressions.Union.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Except": {"tf": 1.7320508075688772}, "sqlglot.expressions.Intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Update": {"tf": 1.7320508075688772}, "sqlglot.expressions.Values": {"tf": 1.7320508075688772}, "sqlglot.expressions.Var": {"tf": 1.7320508075688772}, "sqlglot.expressions.Schema": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 11.135528725660043}, "sqlglot.expressions.Select.group_by": {"tf": 11.958260743101398}, "sqlglot.expressions.Select.order_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.sort_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.cluster_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.limit": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.offset": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.select": {"tf": 10.246950765959598}, "sqlglot.expressions.Select.lateral": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.join": {"tf": 19.026297590440446}, "sqlglot.expressions.Select.where": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.having": {"tf": 12.288205727444508}, "sqlglot.expressions.Select.window": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 10.04987562112089}, "sqlglot.expressions.Select.ctas": {"tf": 11.357816691600547}, "sqlglot.expressions.Select.lock": {"tf": 14.696938456699069}, "sqlglot.expressions.Select.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.TableSample": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 2.23606797749979}, "sqlglot.expressions.Pivot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Window": {"tf": 1.7320508075688772}, "sqlglot.expressions.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.expressions.Where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Parameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.SessionParameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Placeholder": {"tf": 1.7320508075688772}, "sqlglot.expressions.Null": {"tf": 1.7320508075688772}, "sqlglot.expressions.Boolean": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.PseudoType": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructKwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.All": {"tf": 1.7320508075688772}, "sqlglot.expressions.Any": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exists": {"tf": 1.7320508075688772}, "sqlglot.expressions.Command": {"tf": 1.7320508075688772}, "sqlglot.expressions.Transaction": {"tf": 1.7320508075688772}, "sqlglot.expressions.Commit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Rollback": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.AddConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DropPartition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Binary": {"tf": 1.7320508075688772}, "sqlglot.expressions.Add": {"tf": 1.7320508075688772}, "sqlglot.expressions.Connector": {"tf": 1.7320508075688772}, "sqlglot.expressions.And": {"tf": 1.7320508075688772}, "sqlglot.expressions.Or": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseXor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Div": {"tf": 1.7320508075688772}, "sqlglot.expressions.Overlaps": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.DPipe": {"tf": 1.7320508075688772}, "sqlglot.expressions.EQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distance": {"tf": 1.7320508075688772}, "sqlglot.expressions.Escape": {"tf": 1.7320508075688772}, "sqlglot.expressions.Glob": {"tf": 1.7320508075688772}, "sqlglot.expressions.GT": {"tf": 1.7320508075688772}, "sqlglot.expressions.GTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.IntDiv": {"tf": 1.7320508075688772}, "sqlglot.expressions.Is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Kwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Like": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.LT": {"tf": 1.7320508075688772}, "sqlglot.expressions.LTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mod": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mul": {"tf": 1.7320508075688772}, "sqlglot.expressions.NEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.SimilarTo": {"tf": 1.7320508075688772}, "sqlglot.expressions.Slice": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sub": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unary": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseNot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Not": {"tf": 1.7320508075688772}, "sqlglot.expressions.Paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.Neg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Aliases": {"tf": 1.7320508075688772}, "sqlglot.expressions.AtTimeZone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Bracket": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.In": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.IgnoreNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.RespectNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 4.69041575982343}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1.7320508075688772}, "sqlglot.expressions.AggFunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Abs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Anonymous": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxDistinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Array": {"tf": 1.7320508075688772}, "sqlglot.expressions.GenerateSeries": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayFilter": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayJoin": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySize": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySort": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySum": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Avg": {"tf": 1.7320508075688772}, "sqlglot.expressions.AnyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Cast.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.Collate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TryCast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ceil": {"tf": 1.7320508075688772}, "sqlglot.expressions.Coalesce": {"tf": 1.7320508075688772}, "sqlglot.expressions.Concat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ConcatWs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Count": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDatetime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfWeek": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.WeekOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Extract": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFromParts": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Day": {"tf": 1.7320508075688772}, "sqlglot.expressions.Decode": {"tf": 1.7320508075688772}, "sqlglot.expressions.DiToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Encode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exp": {"tf": 1.7320508075688772}, "sqlglot.expressions.Explode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Floor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Greatest": {"tf": 1.7320508075688772}, "sqlglot.expressions.GroupConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hex": {"tf": 1.7320508075688772}, "sqlglot.expressions.If": {"tf": 1.7320508075688772}, "sqlglot.expressions.IfNull": {"tf": 1.7320508075688772}, "sqlglot.expressions.Initcap": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.Least": {"tf": 1.7320508075688772}, "sqlglot.expressions.Length": {"tf": 1.7320508075688772}, "sqlglot.expressions.Levenshtein": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ln": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log10": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lower": {"tf": 1.7320508075688772}, "sqlglot.expressions.Map": {"tf": 1.7320508075688772}, "sqlglot.expressions.VarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.Matches": {"tf": 2.23606797749979}, "sqlglot.expressions.Max": {"tf": 1.7320508075688772}, "sqlglot.expressions.Min": {"tf": 1.7320508075688772}, "sqlglot.expressions.Month": {"tf": 1.7320508075688772}, "sqlglot.expressions.Nvl2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Posexplode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pow": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileCont": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileDisc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantiles": {"tf": 1.7320508075688772}, "sqlglot.expressions.QuantileIf": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxQuantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.RangeN": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReadCSV": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reduce": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpLike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpSplit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Repeat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Round": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowNumber": {"tf": 1.7320508075688772}, "sqlglot.expressions.SafeDivide": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortArray": {"tf": 1.7320508075688772}, "sqlglot.expressions.Split": {"tf": 1.7320508075688772}, "sqlglot.expressions.Substring": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.NumberToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Struct": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sum": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sqrt": {"tf": 1.7320508075688772}, "sqlglot.expressions.Stddev": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevPop": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevSamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.Trim": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unhex": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Upper": {"tf": 1.7320508075688772}, "sqlglot.expressions.Variance": {"tf": 1.7320508075688772}, "sqlglot.expressions.VariancePop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Week": {"tf": 1.7320508075688772}, "sqlglot.expressions.XMLTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Year": {"tf": 1.7320508075688772}, "sqlglot.expressions.Use": {"tf": 1.7320508075688772}, "sqlglot.expressions.Merge": {"tf": 1.7320508075688772}, "sqlglot.expressions.When": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 10.14889156509222}, "sqlglot.expressions.union": {"tf": 10.344080432788601}, "sqlglot.expressions.intersect": {"tf": 10.344080432788601}, "sqlglot.expressions.except_": {"tf": 10.392304845413264}, "sqlglot.expressions.select": {"tf": 9.797958971132712}, "sqlglot.expressions.from_": {"tf": 9.9498743710662}, "sqlglot.expressions.update": {"tf": 12.12435565298214}, "sqlglot.expressions.delete": {"tf": 9.327379053088816}, "sqlglot.expressions.condition": {"tf": 13.92838827718412}, "sqlglot.expressions.and_": {"tf": 9.848857801796104}, "sqlglot.expressions.or_": {"tf": 9.848857801796104}, "sqlglot.expressions.not_": {"tf": 8.831760866327848}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_identifier": {"tf": 5.291502622129181}, "sqlglot.expressions.to_interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 5.196152422706632}, "sqlglot.expressions.to_column": {"tf": 5.291502622129181}, "sqlglot.expressions.alias_": {"tf": 12.649110640673518}, "sqlglot.expressions.subquery": {"tf": 10.198039027185569}, "sqlglot.expressions.column": {"tf": 5.744562646538029}, "sqlglot.expressions.cast": {"tf": 8.888194417315589}, "sqlglot.expressions.table_": {"tf": 5.916079783099616}, "sqlglot.expressions.values": {"tf": 8.888194417315589}, "sqlglot.expressions.var": {"tf": 10.488088481701515}, "sqlglot.expressions.rename_table": {"tf": 4.898979485566356}, "sqlglot.expressions.convert": {"tf": 5}, "sqlglot.expressions.replace_children": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 8.48528137423857}, "sqlglot.expressions.table_name": {"tf": 9.797958971132712}, "sqlglot.expressions.replace_tables": {"tf": 10.44030650891055}, "sqlglot.expressions.replace_placeholders": {"tf": 11.575836902790225}, "sqlglot.expressions.expand": {"tf": 10.770329614269007}, "sqlglot.expressions.func": {"tf": 12.884098726725126}, "sqlglot.expressions.true": {"tf": 1.7320508075688772}, "sqlglot.expressions.false": {"tf": 1.7320508075688772}, "sqlglot.expressions.null": {"tf": 1.7320508075688772}, "sqlglot.generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 11.40175425099138}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 3}, "sqlglot.generator.Generator.unsupported": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sep": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.no_identify": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.indent": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.create_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.index_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.national_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.root_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.afterjournalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.table_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.var_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.into_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.from_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.group_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.having_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.join_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.null_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.order_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.star_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.structkwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.where_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_spec_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.between_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.all_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.any_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.case_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.check_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.return_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.not_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.add_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.and_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.command_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.div_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.is_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.like_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.or_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.use_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.binary": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.text_width": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_time": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.naked_property": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_operation": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.token_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.when_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.7320508075688772}, "sqlglot.helper": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 2.449489742783178}, "sqlglot.helper.seq_get": {"tf": 3.3166247903554}, "sqlglot.helper.ensure_list": {"tf": 4.795831523312719}, "sqlglot.helper.ensure_collection": {"tf": 5.196152422706632}, "sqlglot.helper.csv": {"tf": 5.291502622129181}, "sqlglot.helper.subclasses": {"tf": 5.744562646538029}, "sqlglot.helper.apply_index_offset": {"tf": 5.477225575051661}, "sqlglot.helper.camel_to_snake_case": {"tf": 2.23606797749979}, "sqlglot.helper.while_changing": {"tf": 5.291502622129181}, "sqlglot.helper.tsort": {"tf": 4.795831523312719}, "sqlglot.helper.open_file": {"tf": 1.7320508075688772}, "sqlglot.helper.csv_reader": {"tf": 5.477225575051661}, "sqlglot.helper.find_new_name": {"tf": 5.291502622129181}, "sqlglot.helper.object_to_dict": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 12.649110640673518}, "sqlglot.helper.is_iterable": {"tf": 8.94427190999916}, "sqlglot.helper.flatten": {"tf": 11.224972160321824}, "sqlglot.helper.count_params": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 11.489125293076057}, "sqlglot.helper.first": {"tf": 2.449489742783178}, "sqlglot.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.to_html": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 6.928203230275509}, "sqlglot.lineage.LineageHTML": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 13.2664991614216}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 4.123105625617661}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 10.198039027185569}, "sqlglot.optimizer.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 10.344080432788601}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 4.58257569495584}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 12.727922061357855}, "sqlglot.optimizer.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 10.63014581273465}, "sqlglot.optimizer.expand_multi_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 7.874007874011811}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 9.797958971132712}, "sqlglot.optimizer.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 11.180339887498949}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 10.14889156509222}, "sqlglot.optimizer.normalize.normalized": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 9.591663046625438}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 7.874007874011811}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 7.54983443527075}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 10.344080432788601}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 10.44030650891055}, "sqlglot.optimizer.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 11.575836902790225}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 4.795831523312719}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 10.862780491200215}, "sqlglot.optimizer.scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 9.539392014169456}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 5.744562646538029}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 5.477225575051661}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 3.872983346207417}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 4}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 13.601470508735444}, "sqlglot.optimizer.scope.build_scope": {"tf": 4.69041575982343}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 5.385164807134504}, "sqlglot.optimizer.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 9.643650760992955}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2.6457513110645907}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.always_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 9.899494936611665}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.7320508075688772}, "sqlglot.parser": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_var_map": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 6.082762530298219}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.reset": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 5.291502622129181}, "sqlglot.parser.Parser.parse_into": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.check_errors": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.validate_expression": {"tf": 4.358898943540674}, "sqlglot.planner": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Step.add_dependency": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Join": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.Aggregate": {"tf": 1.7320508075688772}, "sqlglot.planner.Sort": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 7.681145747868608}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 4.358898943540674}, "sqlglot.schema.Schema.column_names": {"tf": 5.477225575051661}, "sqlglot.schema.Schema.get_column_type": {"tf": 5.477225575051661}, "sqlglot.schema.Schema.supported_table_args": {"tf": 2.449489742783178}, "sqlglot.schema.AbstractMappingSchema": {"tf": 4}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 7.211102550927978}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 4.58257569495584}, "sqlglot.schema.MappingSchema.column_names": {"tf": 5.477225575051661}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 5.477225575051661}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 2.23606797749979}, "sqlglot.time": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 7.681145747868608}, "sqlglot.tokens": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.XML": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOTH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BUCKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BY_DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASCADE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CLUSTER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMPOUND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT_FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTRIBUTE_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOLLOWING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IGNORE_NULLS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LAZY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEADING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOAD_DATA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOCAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATERIALIZED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NO_ACTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLS_FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLS_LAST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ONLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OPTIONS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUT_OF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRECEDING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RESPECT_NULLS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SORTKEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SORT_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRAILING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNBOUNDED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNLOGGED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH_LOCAL_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITHIN_GROUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITHOUT_TIME_ZONE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.number": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.string": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.identifier": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.var": {"tf": 2.23606797749979}, "sqlglot.tokens.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 2.23606797749979}, "sqlglot.transforms": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 9.327379053088816}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.0990195135927845}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 5.477225575051661}, "sqlglot.transforms.delegate": {"tf": 2.6457513110645907}, "sqlglot.trie": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 9.327379053088816}, "sqlglot.trie.in_trie": {"tf": 13.228756555322953}}, "df": 1691, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 56, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 5.5677643628300215}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 2.23606797749979}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 6.48074069840786}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 6.324555320336759}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.23606797749979}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 124, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.4031242374328485}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 5}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.23606797749979}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.23606797749979}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 75, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 3.3166247903554}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 5}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}}, "df": 21}}, "c": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 3}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}}, "df": 3}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 2}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 57}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 6}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 2}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 11}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 11, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 2.6457513110645907}}, "df": 1}}}, "m": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 6}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}}, "df": 6}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 10, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 13, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 11, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.diff": {"tf": 7.937253933193772}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 2}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 22, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}}, "df": 8}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 4, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 25, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 27}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 66, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 3.7416573867739413}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 93, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 24}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}}}, "|": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.delete": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.164414002968976}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.where": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 98, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 4}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}}, "df": 2}}, "|": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}}, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 5.916079783099616}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 81, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"1": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 6, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 4.242640687119285}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 21, "s": {"docs": {"sqlglot.schema.Schema": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.605551275463989}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 2}}, "df": 35, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 3.605551275463989}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 4}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 41, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}}, "df": 3}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3}, "y": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 11}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 4}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 8}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 7.54983443527075}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.58257569495584}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 150, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 84, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.first": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 12, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.605551275463989}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 151, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 40, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 41, "s": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 53, "s": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 10}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 2}}}}}}, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2.23606797749979}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 34, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 39}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 19}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}}, "df": 5}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.dataframe": {"tf": 4.47213595499958}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 43, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.tokens.Token.identifier": {"tf": 1.4142135623730951}}, "df": 29, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 26}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}, "s": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.using": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 136}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "\u2019": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot": {"tf": 7.615773105863909}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3}, "sqlglot.diff": {"tf": 8.94427190999916}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 8.660254037844387}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_number": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.to_column": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.7320508075688772}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.Scan.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.SetOperation.from_expression": {"tf": 3.4641016151377544}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 229, "n": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 126, "d": {"docs": {"sqlglot": {"tf": 5.196152422706632}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 7.0710678118654755}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 7.0710678118654755}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 116}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 14}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 29, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "l": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 17}}, "l": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 68, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 54, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 23}, "d": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "g": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 5}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 77, "n": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 2}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 14, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 2}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 174}}}}}}, "s": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 11}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "[": {"0": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "1": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "docs": {}, "df": 0}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 4.47213595499958}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 138, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 17, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot": {"tf": 2}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}}, "df": 16, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 15, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}}}}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 3.872983346207417}}, "df": 1}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 14, "t": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 70, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 7.745966692414834}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 28, "s": {"docs": {"sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 12}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 10, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.23606797749979}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 32}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 23, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1.7320508075688772}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}}, "df": 33}, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "\u00ef": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 51, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 7, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1.4142135623730951}}, "df": 49}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 44, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 2}}, "df": 39}}}}, "^": {"2": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}, "docs": {}, "df": 0}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 6}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}}, "df": 6}}}, "v": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}}, "df": 2}, "s": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 5, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.358898943540674}, "sqlglot.executor.python.Python.Generator": {"tf": 4.358898943540674}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 4.358898943540674}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 49, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 21, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.expressions.delete": {"tf": 2.23606797749979}}, "df": 1}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms.delegate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 5}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.copy": {"tf": 1}}, "df": 1}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 51, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 29, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 2}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 32}}}}}}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 5, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 5}, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 3}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}}, "df": 6}}}}}}, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}}, "df": 5}, "y": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 3}}, "b": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}}, "df": 9, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 79, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 24, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 19}}}}}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 26}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 7, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 3}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 38}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 8}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 24}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 6}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 6}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 11}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 22}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.449489742783178}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 28, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 24, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 2}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 2.8284271247461903}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}}, "df": 7}, "y": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "h": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 18, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}}, "df": 5, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.872983346207417}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 71, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 6}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 66}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 24, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 3.7416573867739413}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.diff": {"tf": 8.48528137423857}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 6.708203932499369}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 3.7416573867739413}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2.6457513110645907}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 2}, "sqlglot.expressions.or_": {"tf": 2}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.6457513110645907}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.23606797749979}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 3.7416573867739413}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 181, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 24}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}}}}}}}, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3}}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 4}, "sqlglot.dataframe": {"tf": 4.358898943540674}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.47213595499958}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.47213595499958}, "sqlglot.diff": {"tf": 15.066519173319364}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 8.48528137423857}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 4.47213595499958}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.using": {"tf": 3}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.sort_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.offset": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.lateral": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.join": {"tf": 3.3166247903554}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 2.8284271247461903}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3.1622776601683795}, "sqlglot.expressions.union": {"tf": 3.1622776601683795}, "sqlglot.expressions.intersect": {"tf": 3.1622776601683795}, "sqlglot.expressions.except_": {"tf": 3.1622776601683795}, "sqlglot.expressions.select": {"tf": 3}, "sqlglot.expressions.from_": {"tf": 3.3166247903554}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 3}, "sqlglot.expressions.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 3}, "sqlglot.generator.Generator": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.helper.apply_index_offset": {"tf": 2.449489742783178}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.8284271247461903}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.Scan.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 228, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 16}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 2}}, "df": 4, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 8}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 5.744562646538029}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 65}, "n": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot": {"tf": 4.58257569495584}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 6.244997998398398}, "sqlglot.diff.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 170}, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 7.280109889280518}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 33, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.3166247903554}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.8284271247461903}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 2.449489742783178}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2.6457513110645907}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 83, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 22, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 2}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 3}, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 29, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 2.23606797749979}}, "df": 27, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"1": {"docs": {"sqlglot.expressions.Select.join": {"tf": 2}}, "df": 1}, "2": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.8284271247461903}}, "df": 3}, "docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 25}}, "w": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 5}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 30, "s": {"docs": {"sqlglot.dataframe": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 21}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}, "p": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 4, "[": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 3, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 9, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 10}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 12, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}}, "df": 2}}, "[": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 82}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}}, "df": 41}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 83, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}, "g": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"3": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"4": {"3": {"3": {"9": {"2": {"3": {"0": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 10.488088481701515}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 154, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 21}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}}, "df": 34, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 6}}}, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 44, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.parse": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 64, "s": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 63}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 45, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 20}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 5, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 10, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 3}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 24, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 6}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 12}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "p": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.dialects": {"tf": 3.3166247903554}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 19, "r": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 2}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.group_by": {"tf": 3}, "sqlglot.expressions.Select.order_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.sort_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.limit": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.offset": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3}, "sqlglot.expressions.union": {"tf": 2.6457513110645907}, "sqlglot.expressions.intersect": {"tf": 2.6457513110645907}, "sqlglot.expressions.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.condition": {"tf": 2.8284271247461903}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 2.6457513110645907}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 2.23606797749979}, "sqlglot.expressions.replace_placeholders": {"tf": 2.23606797749979}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 2}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.8284271247461903}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2.6457513110645907}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 2}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.6457513110645907}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse_into": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.Scan.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.6457513110645907}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 147, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 86}, "|": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 89, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 20}}}}}, "t": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.449489742783178}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}}, "df": 27, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 27}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 39}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 24}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.123105625617661}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 3}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 9}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 9}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 3}}, "df": 1}}}, "u": {"docs": {}, "df": 0, ":": {"8": {"0": {"9": {"0": {"docs": {}, "df": 0, "/": {"1": {"1": {"5": {"docs": {}, "df": 0, "/": {"1": {"docs": {}, "df": 0, "/": {"1": {"9": {"9": {"5": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "c": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 23, "a": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 29, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.values": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 13, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}, "r": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.trie.in_trie": {"tf": 2}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 7}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 36}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 4, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.7416573867739413}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 25}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 13, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 40}}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "b": {"1": {"9": {"3": {"0": {"6": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"8": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 27}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 5}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 19}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 8}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 4}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 2}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 67}}, "l": {"1": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 7, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}}, "df": 3}, "b": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 2.449489742783178}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 2}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2}}, "df": 60, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 29}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}}, "df": 6, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}}, "df": 26}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 26, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 8, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 6, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator": {"tf": 2.6457513110645907}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 23, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 40}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 9}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 24}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2}}, "df": 23, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.cluster_by": {"tf": 2}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1, "v": {"docs": {"sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 2}}, "df": 2}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 3}}}, "b": {"docs": {"sqlglot": {"tf": 4.795831523312719}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 36, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 99, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 6}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 26}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 6}}, "y": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 15, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "s": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 2}}}, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2}, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 5}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 80, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}}, "df": 3}, "r": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}}, "df": 5, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 15, "d": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 6}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 58, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1}}, "b": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 5}}}, "u": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 85, "d": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 70}, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 7}}}, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 10}}}, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 23, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}}, "df": 22, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}}, "df": 3}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}}, "df": 1}, "/": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 4}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}}, "df": 3}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Update": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 4.69041575982343}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 6.855654600401044}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2.23606797749979}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 84, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}}, "df": 10, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}}, "df": 26, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}}, "df": 23}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}}, "df": 2}}, "l": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 14}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 12}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}}}, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 6.557438524302}, "sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 117, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4, "c": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 35, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 33}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}}, "df": 3, "y": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "\u00e9": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}}, "df": 6}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 10, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 15}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 73}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 9}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 2}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 2}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 54, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 11}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2.23606797749979}}, "df": 4, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 22}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 10}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 44}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 5.196152422706632}}, "df": 1}}}, "f": {"docs": {"sqlglot.diff": {"tf": 6.324555320336759}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "n": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 24}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "r": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 41}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 8, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 7}, "d": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}}, "df": 4, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 6}}}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 10, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 165}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 38}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}}, "df": 3}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 25}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 10, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}}, "df": 2}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 12, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"1": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 10, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 5}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "n": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.count_params": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 9}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 5}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "w": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "\u00e9": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 21}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 46, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.count_params": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 72}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 4}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 49}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 18}}, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.renametable_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 51}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 40}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.executor": {"tf": 2}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}}, "df": 4}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}}, "df": 11}}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 5.5677643628300215}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}}, "df": 3}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "k": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.8284271247461903}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.var": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 2.23606797749979}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.23606797749979}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 16, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 2.8284271247461903}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 11}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 2}}}, "\u00e4": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2.23606797749979}}, "df": 2}}, "g": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}}, "df": 5, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.transforms.delegate": {"tf": 1.4142135623730951}}, "df": 38}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 5.656854249492381}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Identifier.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Literal.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Star.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Cast.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 3.4641016151377544}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.expressions.column_table_names": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.449489742783178}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3}, "sqlglot.helper.is_iterable": {"tf": 2.449489742783178}, "sqlglot.helper.flatten": {"tf": 2.449489742783178}, "sqlglot.helper.dict_depth": {"tf": 3.872983346207417}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 4}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.872983346207417}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 3.4641016151377544}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 2.449489742783178}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.4641016151377544}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 3}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.872983346207417}, "sqlglot.optimizer.simplify.simplify": {"tf": 3}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 2.449489742783178}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 3}}, "df": 95}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 2}}, "df": 13, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 41}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "h": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 14.594519519326424}, "sqlglot.dataframe": {"tf": 10.392304845413264}, "sqlglot.dialects": {"tf": 5.385164807134504}, "sqlglot.diff": {"tf": 5.830951894845301}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.sort_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 5.477225575051661}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 4.47213595499958}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 4}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 3.1622776601683795}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.8284271247461903}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 3.1622776601683795}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2.449489742783178}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 88, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 26, "d": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}, "k": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 6, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}}}, "y": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.8284271247461903}, "sqlglot.planner.Step.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.Scan.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.8284271247461903}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 41, "o": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 7, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "y": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 8}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 7}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 3.7416573867739413}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 18}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "q": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 4}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}}, "df": 2}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 19, "n": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 3, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 2}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "f": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}}, "m": {"docs": {"sqlglot.expressions.Matches": {"tf": 1}}, "df": 1, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 9, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 39, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 22}, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}}, "df": 7, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 6}, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 7.14142842854285}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Matches": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 39}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.helper.count_params": {"tf": 1}, "sqlglot.transforms.delegate": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 18, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 43}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}}, "df": 1, "s": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 22}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 19}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 23, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "z": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 5, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 11}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 9}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.select_sql": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.join": {"tf": 3.7416573867739413}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 17, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 9}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 5}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot": {"tf": 4.898979485566356}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_laterals.expand_laterals": {"tf": 2.23606797749979}, "sqlglot.optimizer.expand_multi_table_selects.expand_multi_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.449489742783178}, "sqlglot.planner.Step.from_expression": {"tf": 4}, "sqlglot.planner.Scan.from_expression": {"tf": 4}, "sqlglot.planner.SetOperation.from_expression": {"tf": 4}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 62, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "z": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 15, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 4}}, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 2}}, "df": 34, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}}, "df": 3}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 2}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 28}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; // mirrored in build-search-index.js (part 1) // Also split on html tags. this is a cheap heuristic, but good enough. diff --git a/docs/sqlglot.html b/docs/sqlglot.html index 5da9c75..3121bc4 100644 --- a/docs/sqlglot.html +++ b/docs/sqlglot.html @@ -701,7 +701,7 @@ 47 T = t.TypeVar("T", bound=Expression) 48 49 - 50__version__ = "11.2.2" + 50__version__ = "11.2.6" 51 52pretty = False 53"""Whether to format generated SQL by default.""" diff --git a/docs/sqlglot/dataframe/sql.html b/docs/sqlglot/dataframe/sql.html index 3298708..9c49563 100644 --- a/docs/sqlglot/dataframe/sql.html +++ b/docs/sqlglot/dataframe/sql.html @@ -608,7 +608,7 @@
def - createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140512212685136'>], List[<MagicMock id='140512212685136'>], Tuple]], schema: Optional[<MagicMock id='140512212632768'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: + createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140472806286400'>], List[<MagicMock id='140472806286400'>], Tuple]], schema: Optional[<MagicMock id='140472806820784'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: @@ -949,7 +949,7 @@ 261 @classmethod 262 def _get_outer_select_columns(cls, item: t.Union[exp.Expression, DataFrame]) -> t.List[Column]: 263 expression = item.expression if isinstance(item, DataFrame) else item -264 return [Column(x) for x in expression.find(exp.Select).expressions] +264 return [Column(x) for x in (expression.find(exp.Select) or exp.Select()).expressions] 265 266 @classmethod 267 def _create_hash_from_expression(cls, expression: exp.Select): @@ -1476,7 +1476,7 @@
- DataFrame( spark: <MagicMock id='140512217589712'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140512217372640'>] = None, **kwargs) + DataFrame( spark: <MagicMock id='140472811025888'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140472809295296'>] = None, **kwargs) @@ -2214,7 +2214,7 @@ is unlikely to come up.

@operation(Operation.FROM)
def - fillna( self, value: <MagicMock id='140512213181888'>, subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: + fillna( self, value: <MagicMock id='140472806747648'>, subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: @@ -2283,7 +2283,7 @@ and check if it matches the type of the value provided. If not then make it null
@operation(Operation.FROM)
def - replace( self, to_replace: Union[bool, int, float, str, List, Dict], value: Union[bool, int, float, str, List, NoneType] = None, subset: Union[Collection[<MagicMock id='140512213212256'>], <MagicMock id='140512213212256'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: + replace( self, to_replace: Union[bool, int, float, str, List, Dict], value: Union[bool, int, float, str, List, NoneType] = None, subset: Union[Collection[<MagicMock id='140472804979616'>], <MagicMock id='140472804979616'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame: @@ -2488,7 +2488,7 @@ and check if it matches the type of the value provided. If not then make it null
@operation(Operation.NO_OP)
def - repartition( self, numPartitions: Union[int, <MagicMock id='140512211332416'>], *cols: <MagicMock id='140512211476032'>) -> sqlglot.dataframe.sql.DataFrame: + repartition( self, numPartitions: Union[int, <MagicMock id='140472805135488'>], *cols: <MagicMock id='140472805162720'>) -> sqlglot.dataframe.sql.DataFrame: @@ -3156,7 +3156,7 @@ and check if it matches the type of the value provided. If not then make it null
- Column( expression: Union[<MagicMock id='140512213723520'>, sqlglot.expressions.Expression, NoneType]) + Column( expression: Union[<MagicMock id='140472807220864'>, sqlglot.expressions.Expression, NoneType]) @@ -3184,7 +3184,7 @@ and check if it matches the type of the value provided. If not then make it null
@classmethod
def - ensure_col( cls, value: Union[<MagicMock id='140512211539456'>, sqlglot.expressions.Expression, NoneType]): + ensure_col( cls, value: Union[<MagicMock id='140472805310912'>, sqlglot.expressions.Expression, NoneType]): @@ -3205,7 +3205,7 @@ and check if it matches the type of the value provided. If not then make it null
@classmethod
def - ensure_cols( cls, args: List[Union[<MagicMock id='140512211530224'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]: + ensure_cols( cls, args: List[Union[<MagicMock id='140472805659008'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]: @@ -3226,7 +3226,7 @@ and check if it matches the type of the value provided. If not then make it null
@classmethod
def - invoke_anonymous_function( cls, column: Optional[<MagicMock id='140512211656352'>], func_name: str, *args: Optional[<MagicMock id='140512211702864'>]) -> sqlglot.dataframe.sql.Column: + invoke_anonymous_function( cls, column: Optional[<MagicMock id='140472805529376'>], func_name: str, *args: Optional[<MagicMock id='140472805471088'>]) -> sqlglot.dataframe.sql.Column: @@ -3253,7 +3253,7 @@ and check if it matches the type of the value provided. If not then make it null
@classmethod
def - invoke_expression_over_column( cls, column: Optional[<MagicMock id='140512211833936'>], callable_expression: Callable, **kwargs) -> sqlglot.dataframe.sql.Column: + invoke_expression_over_column( cls, column: Optional[<MagicMock id='140472805366256'>], callable_expression: Callable, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3290,7 +3290,7 @@ and check if it matches the type of the value provided. If not then make it null
def - binary_op( self, klass: Callable, other: <MagicMock id='140512211366576'>, **kwargs) -> sqlglot.dataframe.sql.Column: + binary_op( self, klass: Callable, other: <MagicMock id='140472805069328'>, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3311,7 +3311,7 @@ and check if it matches the type of the value provided. If not then make it null
def - inverse_binary_op( self, klass: Callable, other: <MagicMock id='140512211984032'>, **kwargs) -> sqlglot.dataframe.sql.Column: + inverse_binary_op( self, klass: Callable, other: <MagicMock id='140472805078736'>, **kwargs) -> sqlglot.dataframe.sql.Column: @@ -3821,7 +3821,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

def - isin( self, *cols: Union[<MagicMock id='140512212096848'>, Iterable[<MagicMock id='140512212096848'>]]): + isin( self, *cols: Union[<MagicMock id='140472803821888'>, Iterable[<MagicMock id='140472803821888'>]]): @@ -3842,7 +3842,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

def - between( self, lowerBound: <MagicMock id='140512212218784'>, upperBound: <MagicMock id='140512212292832'>) -> sqlglot.dataframe.sql.Column: + between( self, lowerBound: <MagicMock id='140472803925808'>, upperBound: <MagicMock id='140472803947520'>) -> sqlglot.dataframe.sql.Column: @@ -3877,7 +3877,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

def - over( self, window: <MagicMock id='140512212334048'>) -> sqlglot.dataframe.sql.Column: + over( self, window: <MagicMock id='140472804005232'>) -> sqlglot.dataframe.sql.Column: @@ -4075,7 +4075,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

@classmethod
def - partitionBy( cls, *cols: Union[<MagicMock id='140512209413808'>, List[<MagicMock id='140512209413808'>]]) -> sqlglot.dataframe.sql.WindowSpec: + partitionBy( cls, *cols: Union[<MagicMock id='140472804320848'>, List[<MagicMock id='140472804320848'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4096,7 +4096,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

@classmethod
def - orderBy( cls, *cols: Union[<MagicMock id='140512209283600'>, List[<MagicMock id='140512209283600'>]]) -> sqlglot.dataframe.sql.WindowSpec: + orderBy( cls, *cols: Union[<MagicMock id='140472804438944'>, List[<MagicMock id='140472804438944'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4321,7 +4321,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

def - partitionBy( self, *cols: Union[<MagicMock id='140512209559296'>, List[<MagicMock id='140512209559296'>]]) -> sqlglot.dataframe.sql.WindowSpec: + partitionBy( self, *cols: Union[<MagicMock id='140472804166576'>, List[<MagicMock id='140472804166576'>]]) -> sqlglot.dataframe.sql.WindowSpec: @@ -4348,7 +4348,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string

def - orderBy( self, *cols: Union[<MagicMock id='140512209618832'>, List[<MagicMock id='140512209618832'>]]) -> sqlglot.dataframe.sql.WindowSpec: + orderBy( self, *cols: Union[<MagicMock id='140472804365008'>, List[<MagicMock id='140472804365008'>]]) -> sqlglot.dataframe.sql.WindowSpec: diff --git a/docs/sqlglot/dialects/bigquery.html b/docs/sqlglot/dialects/bigquery.html index 2d180a8..d994538 100644 --- a/docs/sqlglot/dialects/bigquery.html +++ b/docs/sqlglot/dialects/bigquery.html @@ -138,264 +138,268 @@ 38) -> t.Callable[[generator.Generator, exp.Expression], str]: 39 def func(self, expression): 40 this = self.sql(expression, "this") - 41 return f"{data_type}_{kind}({this}, {self.sql(exp.Interval(this=expression.expression, unit=expression.args.get('unit') or exp.Literal.string('day')))})" - 42 - 43 return func - 44 + 41 unit = expression.args.get("unit") + 42 unit = exp.var(unit.name.upper() if unit else "DAY") + 43 interval = exp.Interval(this=expression.expression, unit=unit) + 44 return f"{data_type}_{kind}({this}, {self.sql(interval)})" 45 - 46def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str: - 47 if not isinstance(expression.unnest().parent, exp.From): - 48 expression = t.cast(exp.Values, transforms.remove_precision_parameterized_types(expression)) - 49 return self.values_sql(expression) - 50 rows = [tuple_exp.expressions for tuple_exp in expression.find_all(exp.Tuple)] - 51 structs = [] - 52 for row in rows: - 53 aliases = [ - 54 exp.alias_(value, column_name) - 55 for value, column_name in zip(row, expression.args["alias"].args["columns"]) - 56 ] - 57 structs.append(exp.Struct(expressions=aliases)) - 58 unnest_exp = exp.Unnest(expressions=[exp.Array(expressions=structs)]) - 59 return self.unnest_sql(unnest_exp) - 60 - 61 - 62def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str: - 63 this = expression.this - 64 if isinstance(this, exp.Schema): - 65 this = f"{this.this} <{self.expressions(this)}>" - 66 else: - 67 this = self.sql(this) - 68 return f"RETURNS {this}" - 69 - 70 - 71def _create_sql(self: generator.Generator, expression: exp.Create) -> str: - 72 kind = expression.args["kind"] - 73 returns = expression.find(exp.ReturnsProperty) - 74 if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"): - 75 expression = expression.copy() - 76 expression.set("kind", "TABLE FUNCTION") - 77 if isinstance( - 78 expression.expression, - 79 ( - 80 exp.Subquery, - 81 exp.Literal, - 82 ), - 83 ): - 84 expression.set("expression", expression.expression.this) - 85 - 86 return self.create_sql(expression) - 87 - 88 return self.create_sql(expression) - 89 + 46 return func + 47 + 48 + 49def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str: + 50 if not isinstance(expression.unnest().parent, exp.From): + 51 expression = t.cast(exp.Values, transforms.remove_precision_parameterized_types(expression)) + 52 return self.values_sql(expression) + 53 rows = [tuple_exp.expressions for tuple_exp in expression.find_all(exp.Tuple)] + 54 structs = [] + 55 for row in rows: + 56 aliases = [ + 57 exp.alias_(value, column_name) + 58 for value, column_name in zip(row, expression.args["alias"].args["columns"]) + 59 ] + 60 structs.append(exp.Struct(expressions=aliases)) + 61 unnest_exp = exp.Unnest(expressions=[exp.Array(expressions=structs)]) + 62 return self.unnest_sql(unnest_exp) + 63 + 64 + 65def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str: + 66 this = expression.this + 67 if isinstance(this, exp.Schema): + 68 this = f"{this.this} <{self.expressions(this)}>" + 69 else: + 70 this = self.sql(this) + 71 return f"RETURNS {this}" + 72 + 73 + 74def _create_sql(self: generator.Generator, expression: exp.Create) -> str: + 75 kind = expression.args["kind"] + 76 returns = expression.find(exp.ReturnsProperty) + 77 if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"): + 78 expression = expression.copy() + 79 expression.set("kind", "TABLE FUNCTION") + 80 if isinstance( + 81 expression.expression, + 82 ( + 83 exp.Subquery, + 84 exp.Literal, + 85 ), + 86 ): + 87 expression.set("expression", expression.expression.this) + 88 + 89 return self.create_sql(expression) 90 - 91def _unqualify_unnest(expression: exp.Expression) -> exp.Expression: - 92 """Remove references to unnest table aliases since bigquery doesn't allow them. + 91 return self.create_sql(expression) + 92 93 - 94 These are added by the optimizer's qualify_column step. - 95 """ - 96 if isinstance(expression, exp.Select): - 97 unnests = { - 98 unnest.alias - 99 for unnest in expression.args.get("from", exp.From(expressions=[])).expressions -100 if isinstance(unnest, exp.Unnest) and unnest.alias -101 } -102 -103 if unnests: -104 expression = expression.copy() + 94def _unqualify_unnest(expression: exp.Expression) -> exp.Expression: + 95 """Remove references to unnest table aliases since bigquery doesn't allow them. + 96 + 97 These are added by the optimizer's qualify_column step. + 98 """ + 99 if isinstance(expression, exp.Select): +100 unnests = { +101 unnest.alias +102 for unnest in expression.args.get("from", exp.From(expressions=[])).expressions +103 if isinstance(unnest, exp.Unnest) and unnest.alias +104 } 105 -106 for select in expression.expressions: -107 for column in select.find_all(exp.Column): -108 if column.table in unnests: -109 column.set("table", None) -110 -111 return expression -112 +106 if unnests: +107 expression = expression.copy() +108 +109 for select in expression.expressions: +110 for column in select.find_all(exp.Column): +111 if column.table in unnests: +112 column.set("table", None) 113 -114class BigQuery(Dialect): -115 unnest_column_only = True -116 time_mapping = { -117 "%M": "%-M", -118 "%d": "%-d", -119 "%m": "%-m", -120 "%y": "%-y", -121 "%H": "%-H", -122 "%I": "%-I", -123 "%S": "%-S", -124 "%j": "%-j", -125 } -126 -127 class Tokenizer(tokens.Tokenizer): -128 QUOTES = [ -129 (prefix + quote, quote) if prefix else quote -130 for quote in ["'", '"', '"""', "'''"] -131 for prefix in ["", "r", "R"] -132 ] -133 COMMENTS = ["--", "#", ("/*", "*/")] -134 IDENTIFIERS = ["`"] -135 STRING_ESCAPES = ["\\"] -136 HEX_STRINGS = [("0x", ""), ("0X", "")] -137 -138 KEYWORDS = { -139 **tokens.Tokenizer.KEYWORDS, -140 "BEGIN": TokenType.COMMAND, -141 "BEGIN TRANSACTION": TokenType.BEGIN, -142 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, -143 "CURRENT_TIME": TokenType.CURRENT_TIME, -144 "DECLARE": TokenType.COMMAND, -145 "GEOGRAPHY": TokenType.GEOGRAPHY, -146 "FLOAT64": TokenType.DOUBLE, -147 "INT64": TokenType.BIGINT, -148 "NOT DETERMINISTIC": TokenType.VOLATILE, -149 "UNKNOWN": TokenType.NULL, -150 } -151 KEYWORDS.pop("DIV") -152 -153 class Parser(parser.Parser): -154 FUNCTIONS = { -155 **parser.Parser.FUNCTIONS, # type: ignore -156 "DATE_TRUNC": lambda args: exp.DateTrunc( -157 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore -158 this=seq_get(args, 0), -159 ), -160 "DATE_ADD": _date_add(exp.DateAdd), -161 "DATETIME_ADD": _date_add(exp.DatetimeAdd), -162 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), -163 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, -164 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( -165 this=seq_get(args, 0), -166 expression=seq_get(args, 1), -167 position=seq_get(args, 2), -168 occurrence=seq_get(args, 3), -169 group=exp.Literal.number(1) -170 if re.compile(str(seq_get(args, 1))).groups == 1 -171 else None, -172 ), -173 "TIME_ADD": _date_add(exp.TimeAdd), -174 "TIMESTAMP_ADD": _date_add(exp.TimestampAdd), -175 "DATE_SUB": _date_add(exp.DateSub), -176 "DATETIME_SUB": _date_add(exp.DatetimeSub), -177 "TIME_SUB": _date_add(exp.TimeSub), -178 "TIMESTAMP_SUB": _date_add(exp.TimestampSub), -179 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( -180 this=seq_get(args, 1), format=seq_get(args, 0) -181 ), -182 } -183 -184 FUNCTION_PARSERS = { -185 **parser.Parser.FUNCTION_PARSERS, # type: ignore -186 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), -187 } -188 FUNCTION_PARSERS.pop("TRIM") -189 -190 NO_PAREN_FUNCTIONS = { -191 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore -192 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, -193 TokenType.CURRENT_TIME: exp.CurrentTime, -194 } -195 -196 NESTED_TYPE_TOKENS = { -197 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore -198 TokenType.TABLE, -199 } -200 -201 ID_VAR_TOKENS = { -202 *parser.Parser.ID_VAR_TOKENS, # type: ignore -203 TokenType.VALUES, -204 } -205 -206 PROPERTY_PARSERS = { -207 **parser.Parser.PROPERTY_PARSERS, # type: ignore -208 "NOT DETERMINISTIC": lambda self: self.expression( -209 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") -210 ), -211 } -212 -213 class Generator(generator.Generator): -214 TRANSFORMS = { -215 **generator.Generator.TRANSFORMS, # type: ignore -216 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore -217 exp.ArraySize: rename_func("ARRAY_LENGTH"), -218 exp.DateAdd: _date_add_sql("DATE", "ADD"), -219 exp.DateSub: _date_add_sql("DATE", "SUB"), -220 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), -221 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), -222 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", -223 exp.DateStrToDate: datestrtodate_sql, -224 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), -225 exp.GroupConcat: rename_func("STRING_AGG"), -226 exp.ILike: no_ilike_sql, -227 exp.IntDiv: rename_func("DIV"), -228 exp.Select: transforms.preprocess( -229 [_unqualify_unnest], transforms.delegate("select_sql") -230 ), -231 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", -232 exp.TimeAdd: _date_add_sql("TIME", "ADD"), -233 exp.TimeSub: _date_add_sql("TIME", "SUB"), -234 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), -235 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), -236 exp.TimeStrToTime: timestrtotime_sql, -237 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), -238 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -239 exp.VariancePop: rename_func("VAR_POP"), -240 exp.Values: _derived_table_values_to_unnest, -241 exp.ReturnsProperty: _returnsproperty_sql, -242 exp.Create: _create_sql, -243 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), -244 exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC" -245 if e.name == "IMMUTABLE" -246 else "NOT DETERMINISTIC", -247 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), -248 } -249 -250 TYPE_MAPPING = { -251 **generator.Generator.TYPE_MAPPING, # type: ignore -252 exp.DataType.Type.TINYINT: "INT64", -253 exp.DataType.Type.SMALLINT: "INT64", -254 exp.DataType.Type.INT: "INT64", -255 exp.DataType.Type.BIGINT: "INT64", -256 exp.DataType.Type.DECIMAL: "NUMERIC", -257 exp.DataType.Type.FLOAT: "FLOAT64", -258 exp.DataType.Type.DOUBLE: "FLOAT64", -259 exp.DataType.Type.BOOLEAN: "BOOL", -260 exp.DataType.Type.TEXT: "STRING", -261 exp.DataType.Type.VARCHAR: "STRING", -262 exp.DataType.Type.NVARCHAR: "STRING", -263 } -264 PROPERTIES_LOCATION = { -265 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -266 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +114 return expression +115 +116 +117class BigQuery(Dialect): +118 unnest_column_only = True +119 time_mapping = { +120 "%M": "%-M", +121 "%d": "%-d", +122 "%m": "%-m", +123 "%y": "%-y", +124 "%H": "%-H", +125 "%I": "%-I", +126 "%S": "%-S", +127 "%j": "%-j", +128 } +129 +130 class Tokenizer(tokens.Tokenizer): +131 QUOTES = [ +132 (prefix + quote, quote) if prefix else quote +133 for quote in ["'", '"', '"""', "'''"] +134 for prefix in ["", "r", "R"] +135 ] +136 COMMENTS = ["--", "#", ("/*", "*/")] +137 IDENTIFIERS = ["`"] +138 STRING_ESCAPES = ["\\"] +139 HEX_STRINGS = [("0x", ""), ("0X", "")] +140 +141 KEYWORDS = { +142 **tokens.Tokenizer.KEYWORDS, +143 "BEGIN": TokenType.COMMAND, +144 "BEGIN TRANSACTION": TokenType.BEGIN, +145 "CURRENT_DATETIME": TokenType.CURRENT_DATETIME, +146 "CURRENT_TIME": TokenType.CURRENT_TIME, +147 "DECLARE": TokenType.COMMAND, +148 "GEOGRAPHY": TokenType.GEOGRAPHY, +149 "FLOAT64": TokenType.DOUBLE, +150 "INT64": TokenType.BIGINT, +151 "NOT DETERMINISTIC": TokenType.VOLATILE, +152 "UNKNOWN": TokenType.NULL, +153 } +154 KEYWORDS.pop("DIV") +155 +156 class Parser(parser.Parser): +157 FUNCTIONS = { +158 **parser.Parser.FUNCTIONS, # type: ignore +159 "DATE_TRUNC": lambda args: exp.DateTrunc( +160 unit=exp.Literal.string(seq_get(args, 1).name), # type: ignore +161 this=seq_get(args, 0), +162 ), +163 "DATE_ADD": _date_add(exp.DateAdd), +164 "DATETIME_ADD": _date_add(exp.DatetimeAdd), +165 "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)), +166 "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list, +167 "REGEXP_EXTRACT": lambda args: exp.RegexpExtract( +168 this=seq_get(args, 0), +169 expression=seq_get(args, 1), +170 position=seq_get(args, 2), +171 occurrence=seq_get(args, 3), +172 group=exp.Literal.number(1) +173 if re.compile(str(seq_get(args, 1))).groups == 1 +174 else None, +175 ), +176 "TIME_ADD": _date_add(exp.TimeAdd), +177 "TIMESTAMP_ADD": _date_add(exp.TimestampAdd), +178 "DATE_SUB": _date_add(exp.DateSub), +179 "DATETIME_SUB": _date_add(exp.DatetimeSub), +180 "TIME_SUB": _date_add(exp.TimeSub), +181 "TIMESTAMP_SUB": _date_add(exp.TimestampSub), +182 "PARSE_TIMESTAMP": lambda args: exp.StrToTime( +183 this=seq_get(args, 1), format=seq_get(args, 0) +184 ), +185 } +186 +187 FUNCTION_PARSERS = { +188 **parser.Parser.FUNCTION_PARSERS, # type: ignore +189 "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]), +190 } +191 FUNCTION_PARSERS.pop("TRIM") +192 +193 NO_PAREN_FUNCTIONS = { +194 **parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore +195 TokenType.CURRENT_DATETIME: exp.CurrentDatetime, +196 TokenType.CURRENT_TIME: exp.CurrentTime, +197 } +198 +199 NESTED_TYPE_TOKENS = { +200 *parser.Parser.NESTED_TYPE_TOKENS, # type: ignore +201 TokenType.TABLE, +202 } +203 +204 ID_VAR_TOKENS = { +205 *parser.Parser.ID_VAR_TOKENS, # type: ignore +206 TokenType.VALUES, +207 } +208 +209 PROPERTY_PARSERS = { +210 **parser.Parser.PROPERTY_PARSERS, # type: ignore +211 "NOT DETERMINISTIC": lambda self: self.expression( +212 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") +213 ), +214 } +215 +216 class Generator(generator.Generator): +217 TRANSFORMS = { +218 **generator.Generator.TRANSFORMS, # type: ignore +219 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore +220 exp.ArraySize: rename_func("ARRAY_LENGTH"), +221 exp.DateAdd: _date_add_sql("DATE", "ADD"), +222 exp.DateSub: _date_add_sql("DATE", "SUB"), +223 exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"), +224 exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"), +225 exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})", +226 exp.DateStrToDate: datestrtodate_sql, +227 exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")), +228 exp.GroupConcat: rename_func("STRING_AGG"), +229 exp.ILike: no_ilike_sql, +230 exp.IntDiv: rename_func("DIV"), +231 exp.Select: transforms.preprocess( +232 [_unqualify_unnest], transforms.delegate("select_sql") +233 ), +234 exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})", +235 exp.TimeAdd: _date_add_sql("TIME", "ADD"), +236 exp.TimeSub: _date_add_sql("TIME", "SUB"), +237 exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"), +238 exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"), +239 exp.TimeStrToTime: timestrtotime_sql, +240 exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"), +241 exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"), +242 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", +243 exp.VariancePop: rename_func("VAR_POP"), +244 exp.Values: _derived_table_values_to_unnest, +245 exp.ReturnsProperty: _returnsproperty_sql, +246 exp.Create: _create_sql, +247 exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression), +248 exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC" +249 if e.name == "IMMUTABLE" +250 else "NOT DETERMINISTIC", +251 exp.RegexpLike: rename_func("REGEXP_CONTAINS"), +252 } +253 +254 TYPE_MAPPING = { +255 **generator.Generator.TYPE_MAPPING, # type: ignore +256 exp.DataType.Type.TINYINT: "INT64", +257 exp.DataType.Type.SMALLINT: "INT64", +258 exp.DataType.Type.INT: "INT64", +259 exp.DataType.Type.BIGINT: "INT64", +260 exp.DataType.Type.DECIMAL: "NUMERIC", +261 exp.DataType.Type.FLOAT: "FLOAT64", +262 exp.DataType.Type.DOUBLE: "FLOAT64", +263 exp.DataType.Type.BOOLEAN: "BOOL", +264 exp.DataType.Type.TEXT: "STRING", +265 exp.DataType.Type.VARCHAR: "STRING", +266 exp.DataType.Type.NVARCHAR: "STRING", 267 } -268 -269 EXPLICIT_UNION = True -270 -271 def array_sql(self, expression: exp.Array) -> str: -272 first_arg = seq_get(expression.expressions, 0) -273 if isinstance(first_arg, exp.Subqueryable): -274 return f"ARRAY{self.wrap(self.sql(first_arg))}" -275 -276 return inline_array_sql(self, expression) -277 -278 def transaction_sql(self, *_) -> str: -279 return "BEGIN TRANSACTION" -280 -281 def commit_sql(self, *_) -> str: -282 return "COMMIT TRANSACTION" -283 -284 def rollback_sql(self, *_) -> str: -285 return "ROLLBACK TRANSACTION" -286 -287 def in_unnest_op(self, expression: exp.Unnest) -> str: -288 return self.sql(expression) -289 -290 def except_op(self, expression: exp.Except) -> str: -291 if not expression.args.get("distinct", False): -292 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") -293 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" -294 -295 def intersect_op(self, expression: exp.Intersect) -> str: -296 if not expression.args.get("distinct", False): -297 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") -298 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +268 PROPERTIES_LOCATION = { +269 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +270 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +271 } +272 +273 EXPLICIT_UNION = True +274 +275 def array_sql(self, expression: exp.Array) -> str: +276 first_arg = seq_get(expression.expressions, 0) +277 if isinstance(first_arg, exp.Subqueryable): +278 return f"ARRAY{self.wrap(self.sql(first_arg))}" +279 +280 return inline_array_sql(self, expression) +281 +282 def transaction_sql(self, *_) -> str: +283 return "BEGIN TRANSACTION" +284 +285 def commit_sql(self, *_) -> str: +286 return "COMMIT TRANSACTION" +287 +288 def rollback_sql(self, *_) -> str: +289 return "ROLLBACK TRANSACTION" +290 +291 def in_unnest_op(self, expression: exp.Unnest) -> str: +292 return self.sql(expression) +293 +294 def except_op(self, expression: exp.Except) -> str: +295 if not expression.args.get("distinct", False): +296 self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery") +297 return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}" +298 +299 def intersect_op(self, expression: exp.Intersect) -> str: +300 if not expression.args.get("distinct", False): +301 self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery") +302 return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
@@ -411,191 +415,192 @@
-
115class BigQuery(Dialect):
-116    unnest_column_only = True
-117    time_mapping = {
-118        "%M": "%-M",
-119        "%d": "%-d",
-120        "%m": "%-m",
-121        "%y": "%-y",
-122        "%H": "%-H",
-123        "%I": "%-I",
-124        "%S": "%-S",
-125        "%j": "%-j",
-126    }
-127
-128    class Tokenizer(tokens.Tokenizer):
-129        QUOTES = [
-130            (prefix + quote, quote) if prefix else quote
-131            for quote in ["'", '"', '"""', "'''"]
-132            for prefix in ["", "r", "R"]
-133        ]
-134        COMMENTS = ["--", "#", ("/*", "*/")]
-135        IDENTIFIERS = ["`"]
-136        STRING_ESCAPES = ["\\"]
-137        HEX_STRINGS = [("0x", ""), ("0X", "")]
-138
-139        KEYWORDS = {
-140            **tokens.Tokenizer.KEYWORDS,
-141            "BEGIN": TokenType.COMMAND,
-142            "BEGIN TRANSACTION": TokenType.BEGIN,
-143            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
-144            "CURRENT_TIME": TokenType.CURRENT_TIME,
-145            "DECLARE": TokenType.COMMAND,
-146            "GEOGRAPHY": TokenType.GEOGRAPHY,
-147            "FLOAT64": TokenType.DOUBLE,
-148            "INT64": TokenType.BIGINT,
-149            "NOT DETERMINISTIC": TokenType.VOLATILE,
-150            "UNKNOWN": TokenType.NULL,
-151        }
-152        KEYWORDS.pop("DIV")
-153
-154    class Parser(parser.Parser):
-155        FUNCTIONS = {
-156            **parser.Parser.FUNCTIONS,  # type: ignore
-157            "DATE_TRUNC": lambda args: exp.DateTrunc(
-158                unit=exp.Literal.string(seq_get(args, 1).name),  # type: ignore
-159                this=seq_get(args, 0),
-160            ),
-161            "DATE_ADD": _date_add(exp.DateAdd),
-162            "DATETIME_ADD": _date_add(exp.DatetimeAdd),
-163            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
-164            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
-165            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
-166                this=seq_get(args, 0),
-167                expression=seq_get(args, 1),
-168                position=seq_get(args, 2),
-169                occurrence=seq_get(args, 3),
-170                group=exp.Literal.number(1)
-171                if re.compile(str(seq_get(args, 1))).groups == 1
-172                else None,
-173            ),
-174            "TIME_ADD": _date_add(exp.TimeAdd),
-175            "TIMESTAMP_ADD": _date_add(exp.TimestampAdd),
-176            "DATE_SUB": _date_add(exp.DateSub),
-177            "DATETIME_SUB": _date_add(exp.DatetimeSub),
-178            "TIME_SUB": _date_add(exp.TimeSub),
-179            "TIMESTAMP_SUB": _date_add(exp.TimestampSub),
-180            "PARSE_TIMESTAMP": lambda args: exp.StrToTime(
-181                this=seq_get(args, 1), format=seq_get(args, 0)
-182            ),
-183        }
-184
-185        FUNCTION_PARSERS = {
-186            **parser.Parser.FUNCTION_PARSERS,  # type: ignore
-187            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
-188        }
-189        FUNCTION_PARSERS.pop("TRIM")
-190
-191        NO_PAREN_FUNCTIONS = {
-192            **parser.Parser.NO_PAREN_FUNCTIONS,  # type: ignore
-193            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
-194            TokenType.CURRENT_TIME: exp.CurrentTime,
-195        }
-196
-197        NESTED_TYPE_TOKENS = {
-198            *parser.Parser.NESTED_TYPE_TOKENS,  # type: ignore
-199            TokenType.TABLE,
-200        }
-201
-202        ID_VAR_TOKENS = {
-203            *parser.Parser.ID_VAR_TOKENS,  # type: ignore
-204            TokenType.VALUES,
-205        }
-206
-207        PROPERTY_PARSERS = {
-208            **parser.Parser.PROPERTY_PARSERS,  # type: ignore
-209            "NOT DETERMINISTIC": lambda self: self.expression(
-210                exp.VolatilityProperty, this=exp.Literal.string("VOLATILE")
-211            ),
-212        }
-213
-214    class Generator(generator.Generator):
-215        TRANSFORMS = {
-216            **generator.Generator.TRANSFORMS,  # type: ignore
-217            **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES,  # type: ignore
-218            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-219            exp.DateAdd: _date_add_sql("DATE", "ADD"),
-220            exp.DateSub: _date_add_sql("DATE", "SUB"),
-221            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
-222            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
-223            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
-224            exp.DateStrToDate: datestrtodate_sql,
-225            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
-226            exp.GroupConcat: rename_func("STRING_AGG"),
-227            exp.ILike: no_ilike_sql,
-228            exp.IntDiv: rename_func("DIV"),
-229            exp.Select: transforms.preprocess(
-230                [_unqualify_unnest], transforms.delegate("select_sql")
-231            ),
-232            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
-233            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
-234            exp.TimeSub: _date_add_sql("TIME", "SUB"),
-235            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
-236            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
-237            exp.TimeStrToTime: timestrtotime_sql,
-238            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-239            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-240            exp.VariancePop: rename_func("VAR_POP"),
-241            exp.Values: _derived_table_values_to_unnest,
-242            exp.ReturnsProperty: _returnsproperty_sql,
-243            exp.Create: _create_sql,
-244            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-245            exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC"
-246            if e.name == "IMMUTABLE"
-247            else "NOT DETERMINISTIC",
-248            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-249        }
-250
-251        TYPE_MAPPING = {
-252            **generator.Generator.TYPE_MAPPING,  # type: ignore
-253            exp.DataType.Type.TINYINT: "INT64",
-254            exp.DataType.Type.SMALLINT: "INT64",
-255            exp.DataType.Type.INT: "INT64",
-256            exp.DataType.Type.BIGINT: "INT64",
-257            exp.DataType.Type.DECIMAL: "NUMERIC",
-258            exp.DataType.Type.FLOAT: "FLOAT64",
-259            exp.DataType.Type.DOUBLE: "FLOAT64",
-260            exp.DataType.Type.BOOLEAN: "BOOL",
-261            exp.DataType.Type.TEXT: "STRING",
-262            exp.DataType.Type.VARCHAR: "STRING",
-263            exp.DataType.Type.NVARCHAR: "STRING",
-264        }
-265        PROPERTIES_LOCATION = {
-266            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
-267            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+            
118class BigQuery(Dialect):
+119    unnest_column_only = True
+120    time_mapping = {
+121        "%M": "%-M",
+122        "%d": "%-d",
+123        "%m": "%-m",
+124        "%y": "%-y",
+125        "%H": "%-H",
+126        "%I": "%-I",
+127        "%S": "%-S",
+128        "%j": "%-j",
+129    }
+130
+131    class Tokenizer(tokens.Tokenizer):
+132        QUOTES = [
+133            (prefix + quote, quote) if prefix else quote
+134            for quote in ["'", '"', '"""', "'''"]
+135            for prefix in ["", "r", "R"]
+136        ]
+137        COMMENTS = ["--", "#", ("/*", "*/")]
+138        IDENTIFIERS = ["`"]
+139        STRING_ESCAPES = ["\\"]
+140        HEX_STRINGS = [("0x", ""), ("0X", "")]
+141
+142        KEYWORDS = {
+143            **tokens.Tokenizer.KEYWORDS,
+144            "BEGIN": TokenType.COMMAND,
+145            "BEGIN TRANSACTION": TokenType.BEGIN,
+146            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
+147            "CURRENT_TIME": TokenType.CURRENT_TIME,
+148            "DECLARE": TokenType.COMMAND,
+149            "GEOGRAPHY": TokenType.GEOGRAPHY,
+150            "FLOAT64": TokenType.DOUBLE,
+151            "INT64": TokenType.BIGINT,
+152            "NOT DETERMINISTIC": TokenType.VOLATILE,
+153            "UNKNOWN": TokenType.NULL,
+154        }
+155        KEYWORDS.pop("DIV")
+156
+157    class Parser(parser.Parser):
+158        FUNCTIONS = {
+159            **parser.Parser.FUNCTIONS,  # type: ignore
+160            "DATE_TRUNC": lambda args: exp.DateTrunc(
+161                unit=exp.Literal.string(seq_get(args, 1).name),  # type: ignore
+162                this=seq_get(args, 0),
+163            ),
+164            "DATE_ADD": _date_add(exp.DateAdd),
+165            "DATETIME_ADD": _date_add(exp.DatetimeAdd),
+166            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
+167            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
+168            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
+169                this=seq_get(args, 0),
+170                expression=seq_get(args, 1),
+171                position=seq_get(args, 2),
+172                occurrence=seq_get(args, 3),
+173                group=exp.Literal.number(1)
+174                if re.compile(str(seq_get(args, 1))).groups == 1
+175                else None,
+176            ),
+177            "TIME_ADD": _date_add(exp.TimeAdd),
+178            "TIMESTAMP_ADD": _date_add(exp.TimestampAdd),
+179            "DATE_SUB": _date_add(exp.DateSub),
+180            "DATETIME_SUB": _date_add(exp.DatetimeSub),
+181            "TIME_SUB": _date_add(exp.TimeSub),
+182            "TIMESTAMP_SUB": _date_add(exp.TimestampSub),
+183            "PARSE_TIMESTAMP": lambda args: exp.StrToTime(
+184                this=seq_get(args, 1), format=seq_get(args, 0)
+185            ),
+186        }
+187
+188        FUNCTION_PARSERS = {
+189            **parser.Parser.FUNCTION_PARSERS,  # type: ignore
+190            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
+191        }
+192        FUNCTION_PARSERS.pop("TRIM")
+193
+194        NO_PAREN_FUNCTIONS = {
+195            **parser.Parser.NO_PAREN_FUNCTIONS,  # type: ignore
+196            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
+197            TokenType.CURRENT_TIME: exp.CurrentTime,
+198        }
+199
+200        NESTED_TYPE_TOKENS = {
+201            *parser.Parser.NESTED_TYPE_TOKENS,  # type: ignore
+202            TokenType.TABLE,
+203        }
+204
+205        ID_VAR_TOKENS = {
+206            *parser.Parser.ID_VAR_TOKENS,  # type: ignore
+207            TokenType.VALUES,
+208        }
+209
+210        PROPERTY_PARSERS = {
+211            **parser.Parser.PROPERTY_PARSERS,  # type: ignore
+212            "NOT DETERMINISTIC": lambda self: self.expression(
+213                exp.VolatilityProperty, this=exp.Literal.string("VOLATILE")
+214            ),
+215        }
+216
+217    class Generator(generator.Generator):
+218        TRANSFORMS = {
+219            **generator.Generator.TRANSFORMS,  # type: ignore
+220            **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES,  # type: ignore
+221            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+222            exp.DateAdd: _date_add_sql("DATE", "ADD"),
+223            exp.DateSub: _date_add_sql("DATE", "SUB"),
+224            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
+225            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
+226            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
+227            exp.DateStrToDate: datestrtodate_sql,
+228            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
+229            exp.GroupConcat: rename_func("STRING_AGG"),
+230            exp.ILike: no_ilike_sql,
+231            exp.IntDiv: rename_func("DIV"),
+232            exp.Select: transforms.preprocess(
+233                [_unqualify_unnest], transforms.delegate("select_sql")
+234            ),
+235            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
+236            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
+237            exp.TimeSub: _date_add_sql("TIME", "SUB"),
+238            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
+239            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
+240            exp.TimeStrToTime: timestrtotime_sql,
+241            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+242            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+243            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+244            exp.VariancePop: rename_func("VAR_POP"),
+245            exp.Values: _derived_table_values_to_unnest,
+246            exp.ReturnsProperty: _returnsproperty_sql,
+247            exp.Create: _create_sql,
+248            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+249            exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC"
+250            if e.name == "IMMUTABLE"
+251            else "NOT DETERMINISTIC",
+252            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+253        }
+254
+255        TYPE_MAPPING = {
+256            **generator.Generator.TYPE_MAPPING,  # type: ignore
+257            exp.DataType.Type.TINYINT: "INT64",
+258            exp.DataType.Type.SMALLINT: "INT64",
+259            exp.DataType.Type.INT: "INT64",
+260            exp.DataType.Type.BIGINT: "INT64",
+261            exp.DataType.Type.DECIMAL: "NUMERIC",
+262            exp.DataType.Type.FLOAT: "FLOAT64",
+263            exp.DataType.Type.DOUBLE: "FLOAT64",
+264            exp.DataType.Type.BOOLEAN: "BOOL",
+265            exp.DataType.Type.TEXT: "STRING",
+266            exp.DataType.Type.VARCHAR: "STRING",
+267            exp.DataType.Type.NVARCHAR: "STRING",
 268        }
-269
-270        EXPLICIT_UNION = True
-271
-272        def array_sql(self, expression: exp.Array) -> str:
-273            first_arg = seq_get(expression.expressions, 0)
-274            if isinstance(first_arg, exp.Subqueryable):
-275                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-276
-277            return inline_array_sql(self, expression)
-278
-279        def transaction_sql(self, *_) -> str:
-280            return "BEGIN TRANSACTION"
-281
-282        def commit_sql(self, *_) -> str:
-283            return "COMMIT TRANSACTION"
-284
-285        def rollback_sql(self, *_) -> str:
-286            return "ROLLBACK TRANSACTION"
-287
-288        def in_unnest_op(self, expression: exp.Unnest) -> str:
-289            return self.sql(expression)
-290
-291        def except_op(self, expression: exp.Except) -> str:
-292            if not expression.args.get("distinct", False):
-293                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-294            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-295
-296        def intersect_op(self, expression: exp.Intersect) -> str:
-297            if not expression.args.get("distinct", False):
-298                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-299            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+269        PROPERTIES_LOCATION = {
+270            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
+271            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+272        }
+273
+274        EXPLICIT_UNION = True
+275
+276        def array_sql(self, expression: exp.Array) -> str:
+277            first_arg = seq_get(expression.expressions, 0)
+278            if isinstance(first_arg, exp.Subqueryable):
+279                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+280
+281            return inline_array_sql(self, expression)
+282
+283        def transaction_sql(self, *_) -> str:
+284            return "BEGIN TRANSACTION"
+285
+286        def commit_sql(self, *_) -> str:
+287            return "COMMIT TRANSACTION"
+288
+289        def rollback_sql(self, *_) -> str:
+290            return "ROLLBACK TRANSACTION"
+291
+292        def in_unnest_op(self, expression: exp.Unnest) -> str:
+293            return self.sql(expression)
+294
+295        def except_op(self, expression: exp.Except) -> str:
+296            if not expression.args.get("distinct", False):
+297                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+298            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+299
+300        def intersect_op(self, expression: exp.Intersect) -> str:
+301            if not expression.args.get("distinct", False):
+302                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+303            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
@@ -629,31 +634,31 @@
-
128    class Tokenizer(tokens.Tokenizer):
-129        QUOTES = [
-130            (prefix + quote, quote) if prefix else quote
-131            for quote in ["'", '"', '"""', "'''"]
-132            for prefix in ["", "r", "R"]
-133        ]
-134        COMMENTS = ["--", "#", ("/*", "*/")]
-135        IDENTIFIERS = ["`"]
-136        STRING_ESCAPES = ["\\"]
-137        HEX_STRINGS = [("0x", ""), ("0X", "")]
-138
-139        KEYWORDS = {
-140            **tokens.Tokenizer.KEYWORDS,
-141            "BEGIN": TokenType.COMMAND,
-142            "BEGIN TRANSACTION": TokenType.BEGIN,
-143            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
-144            "CURRENT_TIME": TokenType.CURRENT_TIME,
-145            "DECLARE": TokenType.COMMAND,
-146            "GEOGRAPHY": TokenType.GEOGRAPHY,
-147            "FLOAT64": TokenType.DOUBLE,
-148            "INT64": TokenType.BIGINT,
-149            "NOT DETERMINISTIC": TokenType.VOLATILE,
-150            "UNKNOWN": TokenType.NULL,
-151        }
-152        KEYWORDS.pop("DIV")
+            
131    class Tokenizer(tokens.Tokenizer):
+132        QUOTES = [
+133            (prefix + quote, quote) if prefix else quote
+134            for quote in ["'", '"', '"""', "'''"]
+135            for prefix in ["", "r", "R"]
+136        ]
+137        COMMENTS = ["--", "#", ("/*", "*/")]
+138        IDENTIFIERS = ["`"]
+139        STRING_ESCAPES = ["\\"]
+140        HEX_STRINGS = [("0x", ""), ("0X", "")]
+141
+142        KEYWORDS = {
+143            **tokens.Tokenizer.KEYWORDS,
+144            "BEGIN": TokenType.COMMAND,
+145            "BEGIN TRANSACTION": TokenType.BEGIN,
+146            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
+147            "CURRENT_TIME": TokenType.CURRENT_TIME,
+148            "DECLARE": TokenType.COMMAND,
+149            "GEOGRAPHY": TokenType.GEOGRAPHY,
+150            "FLOAT64": TokenType.DOUBLE,
+151            "INT64": TokenType.BIGINT,
+152            "NOT DETERMINISTIC": TokenType.VOLATILE,
+153            "UNKNOWN": TokenType.NULL,
+154        }
+155        KEYWORDS.pop("DIV")
 
@@ -681,65 +686,65 @@
-
154    class Parser(parser.Parser):
-155        FUNCTIONS = {
-156            **parser.Parser.FUNCTIONS,  # type: ignore
-157            "DATE_TRUNC": lambda args: exp.DateTrunc(
-158                unit=exp.Literal.string(seq_get(args, 1).name),  # type: ignore
-159                this=seq_get(args, 0),
-160            ),
-161            "DATE_ADD": _date_add(exp.DateAdd),
-162            "DATETIME_ADD": _date_add(exp.DatetimeAdd),
-163            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
-164            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
-165            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
-166                this=seq_get(args, 0),
-167                expression=seq_get(args, 1),
-168                position=seq_get(args, 2),
-169                occurrence=seq_get(args, 3),
-170                group=exp.Literal.number(1)
-171                if re.compile(str(seq_get(args, 1))).groups == 1
-172                else None,
-173            ),
-174            "TIME_ADD": _date_add(exp.TimeAdd),
-175            "TIMESTAMP_ADD": _date_add(exp.TimestampAdd),
-176            "DATE_SUB": _date_add(exp.DateSub),
-177            "DATETIME_SUB": _date_add(exp.DatetimeSub),
-178            "TIME_SUB": _date_add(exp.TimeSub),
-179            "TIMESTAMP_SUB": _date_add(exp.TimestampSub),
-180            "PARSE_TIMESTAMP": lambda args: exp.StrToTime(
-181                this=seq_get(args, 1), format=seq_get(args, 0)
-182            ),
-183        }
-184
-185        FUNCTION_PARSERS = {
-186            **parser.Parser.FUNCTION_PARSERS,  # type: ignore
-187            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
-188        }
-189        FUNCTION_PARSERS.pop("TRIM")
-190
-191        NO_PAREN_FUNCTIONS = {
-192            **parser.Parser.NO_PAREN_FUNCTIONS,  # type: ignore
-193            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
-194            TokenType.CURRENT_TIME: exp.CurrentTime,
-195        }
-196
-197        NESTED_TYPE_TOKENS = {
-198            *parser.Parser.NESTED_TYPE_TOKENS,  # type: ignore
-199            TokenType.TABLE,
-200        }
-201
-202        ID_VAR_TOKENS = {
-203            *parser.Parser.ID_VAR_TOKENS,  # type: ignore
-204            TokenType.VALUES,
-205        }
-206
-207        PROPERTY_PARSERS = {
-208            **parser.Parser.PROPERTY_PARSERS,  # type: ignore
-209            "NOT DETERMINISTIC": lambda self: self.expression(
-210                exp.VolatilityProperty, this=exp.Literal.string("VOLATILE")
-211            ),
-212        }
+            
157    class Parser(parser.Parser):
+158        FUNCTIONS = {
+159            **parser.Parser.FUNCTIONS,  # type: ignore
+160            "DATE_TRUNC": lambda args: exp.DateTrunc(
+161                unit=exp.Literal.string(seq_get(args, 1).name),  # type: ignore
+162                this=seq_get(args, 0),
+163            ),
+164            "DATE_ADD": _date_add(exp.DateAdd),
+165            "DATETIME_ADD": _date_add(exp.DatetimeAdd),
+166            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
+167            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
+168            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
+169                this=seq_get(args, 0),
+170                expression=seq_get(args, 1),
+171                position=seq_get(args, 2),
+172                occurrence=seq_get(args, 3),
+173                group=exp.Literal.number(1)
+174                if re.compile(str(seq_get(args, 1))).groups == 1
+175                else None,
+176            ),
+177            "TIME_ADD": _date_add(exp.TimeAdd),
+178            "TIMESTAMP_ADD": _date_add(exp.TimestampAdd),
+179            "DATE_SUB": _date_add(exp.DateSub),
+180            "DATETIME_SUB": _date_add(exp.DatetimeSub),
+181            "TIME_SUB": _date_add(exp.TimeSub),
+182            "TIMESTAMP_SUB": _date_add(exp.TimestampSub),
+183            "PARSE_TIMESTAMP": lambda args: exp.StrToTime(
+184                this=seq_get(args, 1), format=seq_get(args, 0)
+185            ),
+186        }
+187
+188        FUNCTION_PARSERS = {
+189            **parser.Parser.FUNCTION_PARSERS,  # type: ignore
+190            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
+191        }
+192        FUNCTION_PARSERS.pop("TRIM")
+193
+194        NO_PAREN_FUNCTIONS = {
+195            **parser.Parser.NO_PAREN_FUNCTIONS,  # type: ignore
+196            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
+197            TokenType.CURRENT_TIME: exp.CurrentTime,
+198        }
+199
+200        NESTED_TYPE_TOKENS = {
+201            *parser.Parser.NESTED_TYPE_TOKENS,  # type: ignore
+202            TokenType.TABLE,
+203        }
+204
+205        ID_VAR_TOKENS = {
+206            *parser.Parser.ID_VAR_TOKENS,  # type: ignore
+207            TokenType.VALUES,
+208        }
+209
+210        PROPERTY_PARSERS = {
+211            **parser.Parser.PROPERTY_PARSERS,  # type: ignore
+212            "NOT DETERMINISTIC": lambda self: self.expression(
+213                exp.VolatilityProperty, this=exp.Literal.string("VOLATILE")
+214            ),
+215        }
 
@@ -796,92 +801,93 @@ Default: "nulls_are_small"
-
214    class Generator(generator.Generator):
-215        TRANSFORMS = {
-216            **generator.Generator.TRANSFORMS,  # type: ignore
-217            **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES,  # type: ignore
-218            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-219            exp.DateAdd: _date_add_sql("DATE", "ADD"),
-220            exp.DateSub: _date_add_sql("DATE", "SUB"),
-221            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
-222            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
-223            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
-224            exp.DateStrToDate: datestrtodate_sql,
-225            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
-226            exp.GroupConcat: rename_func("STRING_AGG"),
-227            exp.ILike: no_ilike_sql,
-228            exp.IntDiv: rename_func("DIV"),
-229            exp.Select: transforms.preprocess(
-230                [_unqualify_unnest], transforms.delegate("select_sql")
-231            ),
-232            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
-233            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
-234            exp.TimeSub: _date_add_sql("TIME", "SUB"),
-235            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
-236            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
-237            exp.TimeStrToTime: timestrtotime_sql,
-238            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-239            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-240            exp.VariancePop: rename_func("VAR_POP"),
-241            exp.Values: _derived_table_values_to_unnest,
-242            exp.ReturnsProperty: _returnsproperty_sql,
-243            exp.Create: _create_sql,
-244            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-245            exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC"
-246            if e.name == "IMMUTABLE"
-247            else "NOT DETERMINISTIC",
-248            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-249        }
-250
-251        TYPE_MAPPING = {
-252            **generator.Generator.TYPE_MAPPING,  # type: ignore
-253            exp.DataType.Type.TINYINT: "INT64",
-254            exp.DataType.Type.SMALLINT: "INT64",
-255            exp.DataType.Type.INT: "INT64",
-256            exp.DataType.Type.BIGINT: "INT64",
-257            exp.DataType.Type.DECIMAL: "NUMERIC",
-258            exp.DataType.Type.FLOAT: "FLOAT64",
-259            exp.DataType.Type.DOUBLE: "FLOAT64",
-260            exp.DataType.Type.BOOLEAN: "BOOL",
-261            exp.DataType.Type.TEXT: "STRING",
-262            exp.DataType.Type.VARCHAR: "STRING",
-263            exp.DataType.Type.NVARCHAR: "STRING",
-264        }
-265        PROPERTIES_LOCATION = {
-266            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
-267            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+            
217    class Generator(generator.Generator):
+218        TRANSFORMS = {
+219            **generator.Generator.TRANSFORMS,  # type: ignore
+220            **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES,  # type: ignore
+221            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+222            exp.DateAdd: _date_add_sql("DATE", "ADD"),
+223            exp.DateSub: _date_add_sql("DATE", "SUB"),
+224            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
+225            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
+226            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
+227            exp.DateStrToDate: datestrtodate_sql,
+228            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
+229            exp.GroupConcat: rename_func("STRING_AGG"),
+230            exp.ILike: no_ilike_sql,
+231            exp.IntDiv: rename_func("DIV"),
+232            exp.Select: transforms.preprocess(
+233                [_unqualify_unnest], transforms.delegate("select_sql")
+234            ),
+235            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
+236            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
+237            exp.TimeSub: _date_add_sql("TIME", "SUB"),
+238            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
+239            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
+240            exp.TimeStrToTime: timestrtotime_sql,
+241            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+242            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+243            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+244            exp.VariancePop: rename_func("VAR_POP"),
+245            exp.Values: _derived_table_values_to_unnest,
+246            exp.ReturnsProperty: _returnsproperty_sql,
+247            exp.Create: _create_sql,
+248            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+249            exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC"
+250            if e.name == "IMMUTABLE"
+251            else "NOT DETERMINISTIC",
+252            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+253        }
+254
+255        TYPE_MAPPING = {
+256            **generator.Generator.TYPE_MAPPING,  # type: ignore
+257            exp.DataType.Type.TINYINT: "INT64",
+258            exp.DataType.Type.SMALLINT: "INT64",
+259            exp.DataType.Type.INT: "INT64",
+260            exp.DataType.Type.BIGINT: "INT64",
+261            exp.DataType.Type.DECIMAL: "NUMERIC",
+262            exp.DataType.Type.FLOAT: "FLOAT64",
+263            exp.DataType.Type.DOUBLE: "FLOAT64",
+264            exp.DataType.Type.BOOLEAN: "BOOL",
+265            exp.DataType.Type.TEXT: "STRING",
+266            exp.DataType.Type.VARCHAR: "STRING",
+267            exp.DataType.Type.NVARCHAR: "STRING",
 268        }
-269
-270        EXPLICIT_UNION = True
-271
-272        def array_sql(self, expression: exp.Array) -> str:
-273            first_arg = seq_get(expression.expressions, 0)
-274            if isinstance(first_arg, exp.Subqueryable):
-275                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-276
-277            return inline_array_sql(self, expression)
-278
-279        def transaction_sql(self, *_) -> str:
-280            return "BEGIN TRANSACTION"
-281
-282        def commit_sql(self, *_) -> str:
-283            return "COMMIT TRANSACTION"
-284
-285        def rollback_sql(self, *_) -> str:
-286            return "ROLLBACK TRANSACTION"
-287
-288        def in_unnest_op(self, expression: exp.Unnest) -> str:
-289            return self.sql(expression)
-290
-291        def except_op(self, expression: exp.Except) -> str:
-292            if not expression.args.get("distinct", False):
-293                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-294            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-295
-296        def intersect_op(self, expression: exp.Intersect) -> str:
-297            if not expression.args.get("distinct", False):
-298                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-299            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+269        PROPERTIES_LOCATION = {
+270            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
+271            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+272        }
+273
+274        EXPLICIT_UNION = True
+275
+276        def array_sql(self, expression: exp.Array) -> str:
+277            first_arg = seq_get(expression.expressions, 0)
+278            if isinstance(first_arg, exp.Subqueryable):
+279                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+280
+281            return inline_array_sql(self, expression)
+282
+283        def transaction_sql(self, *_) -> str:
+284            return "BEGIN TRANSACTION"
+285
+286        def commit_sql(self, *_) -> str:
+287            return "COMMIT TRANSACTION"
+288
+289        def rollback_sql(self, *_) -> str:
+290            return "ROLLBACK TRANSACTION"
+291
+292        def in_unnest_op(self, expression: exp.Unnest) -> str:
+293            return self.sql(expression)
+294
+295        def except_op(self, expression: exp.Except) -> str:
+296            if not expression.args.get("distinct", False):
+297                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+298            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+299
+300        def intersect_op(self, expression: exp.Intersect) -> str:
+301            if not expression.args.get("distinct", False):
+302                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+303            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
@@ -941,12 +947,12 @@ Default: True
-
272        def array_sql(self, expression: exp.Array) -> str:
-273            first_arg = seq_get(expression.expressions, 0)
-274            if isinstance(first_arg, exp.Subqueryable):
-275                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-276
-277            return inline_array_sql(self, expression)
+            
276        def array_sql(self, expression: exp.Array) -> str:
+277            first_arg = seq_get(expression.expressions, 0)
+278            if isinstance(first_arg, exp.Subqueryable):
+279                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+280
+281            return inline_array_sql(self, expression)
 
@@ -964,8 +970,8 @@ Default: True
-
279        def transaction_sql(self, *_) -> str:
-280            return "BEGIN TRANSACTION"
+            
283        def transaction_sql(self, *_) -> str:
+284            return "BEGIN TRANSACTION"
 
@@ -983,8 +989,8 @@ Default: True
-
282        def commit_sql(self, *_) -> str:
-283            return "COMMIT TRANSACTION"
+            
286        def commit_sql(self, *_) -> str:
+287            return "COMMIT TRANSACTION"
 
@@ -1002,8 +1008,8 @@ Default: True
-
285        def rollback_sql(self, *_) -> str:
-286            return "ROLLBACK TRANSACTION"
+            
289        def rollback_sql(self, *_) -> str:
+290            return "ROLLBACK TRANSACTION"
 
@@ -1021,8 +1027,8 @@ Default: True
-
288        def in_unnest_op(self, expression: exp.Unnest) -> str:
-289            return self.sql(expression)
+            
292        def in_unnest_op(self, expression: exp.Unnest) -> str:
+293            return self.sql(expression)
 
@@ -1040,10 +1046,10 @@ Default: True
-
291        def except_op(self, expression: exp.Except) -> str:
-292            if not expression.args.get("distinct", False):
-293                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-294            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
295        def except_op(self, expression: exp.Except) -> str:
+296            if not expression.args.get("distinct", False):
+297                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+298            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
@@ -1061,10 +1067,10 @@ Default: True
-
296        def intersect_op(self, expression: exp.Intersect) -> str:
-297            if not expression.args.get("distinct", False):
-298                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-299            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
300        def intersect_op(self, expression: exp.Intersect) -> str:
+301            if not expression.args.get("distinct", False):
+302                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+303            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
@@ -1226,6 +1232,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
altercolumn_sql
renametable_sql
altertable_sql
@@ -1237,6 +1244,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/clickhouse.html b/docs/sqlglot/dialects/clickhouse.html index 6dde874..ff7565d 100644 --- a/docs/sqlglot/dialects/clickhouse.html +++ b/docs/sqlglot/dialects/clickhouse.html @@ -814,6 +814,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -828,6 +829,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/databricks.html b/docs/sqlglot/dialects/databricks.html index 417c652..224ee6e 100644 --- a/docs/sqlglot/dialects/databricks.html +++ b/docs/sqlglot/dialects/databricks.html @@ -454,6 +454,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -468,6 +469,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/dialect.html b/docs/sqlglot/dialects/dialect.html index 87441ba..6aa48ad 100644 --- a/docs/sqlglot/dialects/dialect.html +++ b/docs/sqlglot/dialects/dialect.html @@ -592,84 +592,83 @@
360 if has_schema and is_partitionable: 361 expression = expression.copy() 362 prop = expression.find(exp.PartitionedByProperty) -363 this = prop and prop.this -364 if prop and not isinstance(this, exp.Schema): -365 schema = expression.this -366 columns = {v.name.upper() for v in this.expressions} -367 partitions = [col for col in schema.expressions if col.name.upper() in columns] -368 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) -369 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) -370 expression.set("this", schema) -371 -372 return self.create_sql(expression) +363 if prop and prop.this and not isinstance(prop.this, exp.Schema): +364 schema = expression.this +365 columns = {v.name.upper() for v in prop.this.expressions} +366 partitions = [col for col in schema.expressions if col.name.upper() in columns] +367 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) +368 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) +369 expression.set("this", schema) +370 +371 return self.create_sql(expression) +372 373 -374 -375def parse_date_delta( -376 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None -377) -> t.Callable[[t.Sequence], E]: -378 def inner_func(args: t.Sequence) -> E: -379 unit_based = len(args) == 3 -380 this = seq_get(args, 2) if unit_based else seq_get(args, 0) -381 expression = seq_get(args, 1) if unit_based else seq_get(args, 1) -382 unit = seq_get(args, 0) if unit_based else exp.Literal.string("DAY") -383 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit # type: ignore -384 return exp_class(this=this, expression=expression, unit=unit) -385 -386 return inner_func +374def parse_date_delta( +375 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None +376) -> t.Callable[[t.Sequence], E]: +377 def inner_func(args: t.Sequence) -> E: +378 unit_based = len(args) == 3 +379 this = seq_get(args, 2) if unit_based else seq_get(args, 0) +380 expression = seq_get(args, 1) if unit_based else seq_get(args, 1) +381 unit = seq_get(args, 0) if unit_based else exp.Literal.string("DAY") +382 unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit # type: ignore +383 return exp_class(this=this, expression=expression, unit=unit) +384 +385 return inner_func +386 387 -388 -389def locate_to_strposition(args: t.Sequence) -> exp.Expression: -390 return exp.StrPosition( -391 this=seq_get(args, 1), -392 substr=seq_get(args, 0), -393 position=seq_get(args, 2), -394 ) +388def locate_to_strposition(args: t.Sequence) -> exp.Expression: +389 return exp.StrPosition( +390 this=seq_get(args, 1), +391 substr=seq_get(args, 0), +392 position=seq_get(args, 2), +393 ) +394 395 -396 -397def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: -398 return self.func( -399 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") -400 ) +396def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: +397 return self.func( +398 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") +399 ) +400 401 -402 -403def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: -404 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" +402def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: +403 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" +404 405 -406 -407def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: -408 return f"CAST({self.sql(expression, 'this')} AS DATE)" +406def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: +407 return f"CAST({self.sql(expression, 'this')} AS DATE)" +408 409 -410 -411def trim_sql(self: Generator, expression: exp.Trim) -> str: -412 target = self.sql(expression, "this") -413 trim_type = self.sql(expression, "position") -414 remove_chars = self.sql(expression, "expression") -415 collation = self.sql(expression, "collation") -416 -417 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific -418 if not remove_chars and not collation: -419 return self.trim_sql(expression) -420 -421 trim_type = f"{trim_type} " if trim_type else "" -422 remove_chars = f"{remove_chars} " if remove_chars else "" -423 from_part = "FROM " if trim_type or remove_chars else "" -424 collation = f" COLLATE {collation}" if collation else "" -425 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" +410def trim_sql(self: Generator, expression: exp.Trim) -> str: +411 target = self.sql(expression, "this") +412 trim_type = self.sql(expression, "position") +413 remove_chars = self.sql(expression, "expression") +414 collation = self.sql(expression, "collation") +415 +416 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific +417 if not remove_chars and not collation: +418 return self.trim_sql(expression) +419 +420 trim_type = f"{trim_type} " if trim_type else "" +421 remove_chars = f"{remove_chars} " if remove_chars else "" +422 from_part = "FROM " if trim_type or remove_chars else "" +423 collation = f" COLLATE {collation}" if collation else "" +424 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" +425 426 -427 -428def str_to_time_sql(self, expression: exp.Expression) -> str: -429 return self.func("STRPTIME", expression.this, self.format_time(expression)) +427def str_to_time_sql(self, expression: exp.Expression) -> str: +428 return self.func("STRPTIME", expression.this, self.format_time(expression)) +429 430 -431 -432def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: -433 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: -434 _dialect = Dialect.get_or_raise(dialect) -435 time_format = self.format_time(expression) -436 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): -437 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" -438 return f"CAST({self.sql(expression, 'this')} AS DATE)" -439 -440 return _ts_or_ds_to_date_sql +431def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: +432 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: +433 _dialect = Dialect.get_or_raise(dialect) +434 time_format = self.format_time(expression) +435 if time_format and time_format not in (_dialect.time_format, _dialect.date_format): +436 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" +437 return f"CAST({self.sql(expression, 'this')} AS DATE)" +438 +439 return _ts_or_ds_to_date_sql
@@ -1799,16 +1798,15 @@ 361 if has_schema and is_partitionable: 362 expression = expression.copy() 363 prop = expression.find(exp.PartitionedByProperty) -364 this = prop and prop.this -365 if prop and not isinstance(this, exp.Schema): -366 schema = expression.this -367 columns = {v.name.upper() for v in this.expressions} -368 partitions = [col for col in schema.expressions if col.name.upper() in columns] -369 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) -370 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) -371 expression.set("this", schema) -372 -373 return self.create_sql(expression) +364 if prop and prop.this and not isinstance(prop.this, exp.Schema): +365 schema = expression.this +366 columns = {v.name.upper() for v in prop.this.expressions} +367 partitions = [col for col in schema.expressions if col.name.upper() in columns] +368 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) +369 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) +370 expression.set("this", schema) +371 +372 return self.create_sql(expression)
@@ -1830,18 +1828,18 @@ columns are removed from the create statement.

-
376def parse_date_delta(
-377    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
-378) -> t.Callable[[t.Sequence], E]:
-379    def inner_func(args: t.Sequence) -> E:
-380        unit_based = len(args) == 3
-381        this = seq_get(args, 2) if unit_based else seq_get(args, 0)
-382        expression = seq_get(args, 1) if unit_based else seq_get(args, 1)
-383        unit = seq_get(args, 0) if unit_based else exp.Literal.string("DAY")
-384        unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit  # type: ignore
-385        return exp_class(this=this, expression=expression, unit=unit)
-386
-387    return inner_func
+            
375def parse_date_delta(
+376    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
+377) -> t.Callable[[t.Sequence], E]:
+378    def inner_func(args: t.Sequence) -> E:
+379        unit_based = len(args) == 3
+380        this = seq_get(args, 2) if unit_based else seq_get(args, 0)
+381        expression = seq_get(args, 1) if unit_based else seq_get(args, 1)
+382        unit = seq_get(args, 0) if unit_based else exp.Literal.string("DAY")
+383        unit = unit_mapping.get(unit.name.lower(), unit) if unit_mapping else unit  # type: ignore
+384        return exp_class(this=this, expression=expression, unit=unit)
+385
+386    return inner_func
 
@@ -1859,12 +1857,12 @@ columns are removed from the create statement.

-
390def locate_to_strposition(args: t.Sequence) -> exp.Expression:
-391    return exp.StrPosition(
-392        this=seq_get(args, 1),
-393        substr=seq_get(args, 0),
-394        position=seq_get(args, 2),
-395    )
+            
389def locate_to_strposition(args: t.Sequence) -> exp.Expression:
+390    return exp.StrPosition(
+391        this=seq_get(args, 1),
+392        substr=seq_get(args, 0),
+393        position=seq_get(args, 2),
+394    )
 
@@ -1882,10 +1880,10 @@ columns are removed from the create statement.

-
398def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
-399    return self.func(
-400        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
-401    )
+            
397def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
+398    return self.func(
+399        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
+400    )
 
@@ -1903,8 +1901,8 @@ columns are removed from the create statement.

-
404def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
-405    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
+            
403def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
+404    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
 
@@ -1922,8 +1920,8 @@ columns are removed from the create statement.

-
408def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
-409    return f"CAST({self.sql(expression, 'this')} AS DATE)"
+            
407def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
+408    return f"CAST({self.sql(expression, 'this')} AS DATE)"
 
@@ -1941,21 +1939,21 @@ columns are removed from the create statement.

-
412def trim_sql(self: Generator, expression: exp.Trim) -> str:
-413    target = self.sql(expression, "this")
-414    trim_type = self.sql(expression, "position")
-415    remove_chars = self.sql(expression, "expression")
-416    collation = self.sql(expression, "collation")
-417
-418    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
-419    if not remove_chars and not collation:
-420        return self.trim_sql(expression)
-421
-422    trim_type = f"{trim_type} " if trim_type else ""
-423    remove_chars = f"{remove_chars} " if remove_chars else ""
-424    from_part = "FROM " if trim_type or remove_chars else ""
-425    collation = f" COLLATE {collation}" if collation else ""
-426    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
+            
411def trim_sql(self: Generator, expression: exp.Trim) -> str:
+412    target = self.sql(expression, "this")
+413    trim_type = self.sql(expression, "position")
+414    remove_chars = self.sql(expression, "expression")
+415    collation = self.sql(expression, "collation")
+416
+417    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
+418    if not remove_chars and not collation:
+419        return self.trim_sql(expression)
+420
+421    trim_type = f"{trim_type} " if trim_type else ""
+422    remove_chars = f"{remove_chars} " if remove_chars else ""
+423    from_part = "FROM " if trim_type or remove_chars else ""
+424    collation = f" COLLATE {collation}" if collation else ""
+425    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
 
@@ -1973,8 +1971,8 @@ columns are removed from the create statement.

-
429def str_to_time_sql(self, expression: exp.Expression) -> str:
-430    return self.func("STRPTIME", expression.this, self.format_time(expression))
+            
428def str_to_time_sql(self, expression: exp.Expression) -> str:
+429    return self.func("STRPTIME", expression.this, self.format_time(expression))
 
@@ -1992,15 +1990,15 @@ columns are removed from the create statement.

-
433def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
-434    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
-435        _dialect = Dialect.get_or_raise(dialect)
-436        time_format = self.format_time(expression)
-437        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
-438            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
-439        return f"CAST({self.sql(expression, 'this')} AS DATE)"
-440
-441    return _ts_or_ds_to_date_sql
+            
432def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
+433    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
+434        _dialect = Dialect.get_or_raise(dialect)
+435        time_format = self.format_time(expression)
+436        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
+437            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
+438        return f"CAST({self.sql(expression, 'this')} AS DATE)"
+439
+440    return _ts_or_ds_to_date_sql
 
diff --git a/docs/sqlglot/dialects/drill.html b/docs/sqlglot/dialects/drill.html index 1d61622..c97461c 100644 --- a/docs/sqlglot/dialects/drill.html +++ b/docs/sqlglot/dialects/drill.html @@ -762,6 +762,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -776,6 +777,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/duckdb.html b/docs/sqlglot/dialects/duckdb.html index 16953f1..b7d906f 100644 --- a/docs/sqlglot/dialects/duckdb.html +++ b/docs/sqlglot/dialects/duckdb.html @@ -162,96 +162,102 @@
83 ":=": TokenType.EQ, 84 "ATTACH": TokenType.COMMAND, 85 "CHARACTER VARYING": TokenType.VARCHAR, - 86 } - 87 - 88 class Parser(parser.Parser): - 89 FUNCTIONS = { - 90 **parser.Parser.FUNCTIONS, # type: ignore - 91 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, - 92 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, - 93 "ARRAY_SORT": exp.SortArray.from_arg_list, - 94 "ARRAY_REVERSE_SORT": _sort_array_reverse, - 95 "EPOCH": exp.TimeToUnix.from_arg_list, - 96 "EPOCH_MS": lambda args: exp.UnixToTime( - 97 this=exp.Div( - 98 this=seq_get(args, 0), - 99 expression=exp.Literal.number(1000), -100 ) -101 ), -102 "LIST_SORT": exp.SortArray.from_arg_list, -103 "LIST_REVERSE_SORT": _sort_array_reverse, -104 "LIST_VALUE": exp.Array.from_arg_list, -105 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -106 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -107 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -108 "STR_SPLIT": exp.Split.from_arg_list, -109 "STRING_SPLIT": exp.Split.from_arg_list, -110 "STRING_TO_ARRAY": exp.Split.from_arg_list, -111 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -112 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -113 "STRUCT_PACK": exp.Struct.from_arg_list, -114 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -115 "UNNEST": exp.Explode.from_arg_list, -116 } -117 -118 class Generator(generator.Generator): -119 STRUCT_DELIMITER = ("(", ")") -120 -121 TRANSFORMS = { -122 **generator.Generator.TRANSFORMS, # type: ignore -123 exp.ApproxDistinct: approx_count_distinct_sql, -124 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -125 if isinstance(seq_get(e.expressions, 0), exp.Select) -126 else rename_func("LIST_VALUE")(self, e), -127 exp.ArraySize: rename_func("ARRAY_LENGTH"), -128 exp.ArraySort: _array_sort_sql, -129 exp.ArraySum: rename_func("LIST_SUM"), -130 exp.DataType: _datatype_sql, -131 exp.DateAdd: _date_add, -132 exp.DateDiff: lambda self, e: self.func( -133 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this -134 ), -135 exp.DateStrToDate: datestrtodate_sql, -136 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", -137 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", -138 exp.Explode: rename_func("UNNEST"), -139 exp.JSONExtract: arrow_json_extract_sql, -140 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -141 exp.JSONBExtract: arrow_json_extract_sql, -142 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -143 exp.LogicalOr: rename_func("BOOL_OR"), -144 exp.Pivot: no_pivot_sql, -145 exp.Properties: no_properties_sql, -146 exp.RegexpExtract: _regexp_extract_sql, -147 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -148 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -149 exp.SafeDivide: no_safe_divide_sql, -150 exp.Split: rename_func("STR_SPLIT"), -151 exp.SortArray: _sort_array_sql, -152 exp.StrPosition: str_position_sql, -153 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -154 exp.StrToTime: str_to_time_sql, -155 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -156 exp.Struct: _struct_sql, -157 exp.TableSample: no_tablesample_sql, -158 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -159 exp.TimeStrToTime: timestrtotime_sql, -160 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -161 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -162 exp.TimeToUnix: rename_func("EPOCH"), -163 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -164 exp.TsOrDsAdd: _ts_or_ds_add, -165 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -166 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -167 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -168 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -169 } -170 -171 TYPE_MAPPING = { -172 **generator.Generator.TYPE_MAPPING, # type: ignore -173 exp.DataType.Type.VARCHAR: "TEXT", -174 exp.DataType.Type.NVARCHAR: "TEXT", -175 } + 86 "EXCLUDE": TokenType.EXCEPT, + 87 } + 88 + 89 class Parser(parser.Parser): + 90 FUNCTIONS = { + 91 **parser.Parser.FUNCTIONS, # type: ignore + 92 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, + 93 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, + 94 "ARRAY_SORT": exp.SortArray.from_arg_list, + 95 "ARRAY_REVERSE_SORT": _sort_array_reverse, + 96 "EPOCH": exp.TimeToUnix.from_arg_list, + 97 "EPOCH_MS": lambda args: exp.UnixToTime( + 98 this=exp.Div( + 99 this=seq_get(args, 0), +100 expression=exp.Literal.number(1000), +101 ) +102 ), +103 "LIST_SORT": exp.SortArray.from_arg_list, +104 "LIST_REVERSE_SORT": _sort_array_reverse, +105 "LIST_VALUE": exp.Array.from_arg_list, +106 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +107 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +108 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +109 "STR_SPLIT": exp.Split.from_arg_list, +110 "STRING_SPLIT": exp.Split.from_arg_list, +111 "STRING_TO_ARRAY": exp.Split.from_arg_list, +112 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +113 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +114 "STRUCT_PACK": exp.Struct.from_arg_list, +115 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +116 "UNNEST": exp.Explode.from_arg_list, +117 } +118 +119 class Generator(generator.Generator): +120 STRUCT_DELIMITER = ("(", ")") +121 +122 TRANSFORMS = { +123 **generator.Generator.TRANSFORMS, # type: ignore +124 exp.ApproxDistinct: approx_count_distinct_sql, +125 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +126 if isinstance(seq_get(e.expressions, 0), exp.Select) +127 else rename_func("LIST_VALUE")(self, e), +128 exp.ArraySize: rename_func("ARRAY_LENGTH"), +129 exp.ArraySort: _array_sort_sql, +130 exp.ArraySum: rename_func("LIST_SUM"), +131 exp.DataType: _datatype_sql, +132 exp.DateAdd: _date_add, +133 exp.DateDiff: lambda self, e: self.func( +134 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this +135 ), +136 exp.DateStrToDate: datestrtodate_sql, +137 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", +138 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", +139 exp.Explode: rename_func("UNNEST"), +140 exp.JSONExtract: arrow_json_extract_sql, +141 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +142 exp.JSONBExtract: arrow_json_extract_sql, +143 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +144 exp.LogicalOr: rename_func("BOOL_OR"), +145 exp.Pivot: no_pivot_sql, +146 exp.Properties: no_properties_sql, +147 exp.RegexpExtract: _regexp_extract_sql, +148 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +149 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +150 exp.SafeDivide: no_safe_divide_sql, +151 exp.Split: rename_func("STR_SPLIT"), +152 exp.SortArray: _sort_array_sql, +153 exp.StrPosition: str_position_sql, +154 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +155 exp.StrToTime: str_to_time_sql, +156 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +157 exp.Struct: _struct_sql, +158 exp.TableSample: no_tablesample_sql, +159 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +160 exp.TimeStrToTime: timestrtotime_sql, +161 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +162 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +163 exp.TimeToUnix: rename_func("EPOCH"), +164 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +165 exp.TsOrDsAdd: _ts_or_ds_add, +166 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +167 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +168 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +169 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +170 } +171 +172 TYPE_MAPPING = { +173 **generator.Generator.TYPE_MAPPING, # type: ignore +174 exp.DataType.Type.VARCHAR: "TEXT", +175 exp.DataType.Type.NVARCHAR: "TEXT", +176 } +177 +178 STAR_MAPPING = { +179 **generator.Generator.STAR_MAPPING, +180 "except": "EXCLUDE", +181 }
@@ -274,96 +280,102 @@ 84 ":=": TokenType.EQ, 85 "ATTACH": TokenType.COMMAND, 86 "CHARACTER VARYING": TokenType.VARCHAR, - 87 } - 88 - 89 class Parser(parser.Parser): - 90 FUNCTIONS = { - 91 **parser.Parser.FUNCTIONS, # type: ignore - 92 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, - 93 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, - 94 "ARRAY_SORT": exp.SortArray.from_arg_list, - 95 "ARRAY_REVERSE_SORT": _sort_array_reverse, - 96 "EPOCH": exp.TimeToUnix.from_arg_list, - 97 "EPOCH_MS": lambda args: exp.UnixToTime( - 98 this=exp.Div( - 99 this=seq_get(args, 0), -100 expression=exp.Literal.number(1000), -101 ) -102 ), -103 "LIST_SORT": exp.SortArray.from_arg_list, -104 "LIST_REVERSE_SORT": _sort_array_reverse, -105 "LIST_VALUE": exp.Array.from_arg_list, -106 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -107 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -108 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -109 "STR_SPLIT": exp.Split.from_arg_list, -110 "STRING_SPLIT": exp.Split.from_arg_list, -111 "STRING_TO_ARRAY": exp.Split.from_arg_list, -112 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -113 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -114 "STRUCT_PACK": exp.Struct.from_arg_list, -115 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -116 "UNNEST": exp.Explode.from_arg_list, -117 } -118 -119 class Generator(generator.Generator): -120 STRUCT_DELIMITER = ("(", ")") -121 -122 TRANSFORMS = { -123 **generator.Generator.TRANSFORMS, # type: ignore -124 exp.ApproxDistinct: approx_count_distinct_sql, -125 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -126 if isinstance(seq_get(e.expressions, 0), exp.Select) -127 else rename_func("LIST_VALUE")(self, e), -128 exp.ArraySize: rename_func("ARRAY_LENGTH"), -129 exp.ArraySort: _array_sort_sql, -130 exp.ArraySum: rename_func("LIST_SUM"), -131 exp.DataType: _datatype_sql, -132 exp.DateAdd: _date_add, -133 exp.DateDiff: lambda self, e: self.func( -134 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this -135 ), -136 exp.DateStrToDate: datestrtodate_sql, -137 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", -138 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", -139 exp.Explode: rename_func("UNNEST"), -140 exp.JSONExtract: arrow_json_extract_sql, -141 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -142 exp.JSONBExtract: arrow_json_extract_sql, -143 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -144 exp.LogicalOr: rename_func("BOOL_OR"), -145 exp.Pivot: no_pivot_sql, -146 exp.Properties: no_properties_sql, -147 exp.RegexpExtract: _regexp_extract_sql, -148 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -149 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -150 exp.SafeDivide: no_safe_divide_sql, -151 exp.Split: rename_func("STR_SPLIT"), -152 exp.SortArray: _sort_array_sql, -153 exp.StrPosition: str_position_sql, -154 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -155 exp.StrToTime: str_to_time_sql, -156 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -157 exp.Struct: _struct_sql, -158 exp.TableSample: no_tablesample_sql, -159 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -160 exp.TimeStrToTime: timestrtotime_sql, -161 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -162 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -163 exp.TimeToUnix: rename_func("EPOCH"), -164 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -165 exp.TsOrDsAdd: _ts_or_ds_add, -166 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -167 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -168 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -169 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -170 } -171 -172 TYPE_MAPPING = { -173 **generator.Generator.TYPE_MAPPING, # type: ignore -174 exp.DataType.Type.VARCHAR: "TEXT", -175 exp.DataType.Type.NVARCHAR: "TEXT", -176 } + 87 "EXCLUDE": TokenType.EXCEPT, + 88 } + 89 + 90 class Parser(parser.Parser): + 91 FUNCTIONS = { + 92 **parser.Parser.FUNCTIONS, # type: ignore + 93 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, + 94 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, + 95 "ARRAY_SORT": exp.SortArray.from_arg_list, + 96 "ARRAY_REVERSE_SORT": _sort_array_reverse, + 97 "EPOCH": exp.TimeToUnix.from_arg_list, + 98 "EPOCH_MS": lambda args: exp.UnixToTime( + 99 this=exp.Div( +100 this=seq_get(args, 0), +101 expression=exp.Literal.number(1000), +102 ) +103 ), +104 "LIST_SORT": exp.SortArray.from_arg_list, +105 "LIST_REVERSE_SORT": _sort_array_reverse, +106 "LIST_VALUE": exp.Array.from_arg_list, +107 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +108 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +109 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +110 "STR_SPLIT": exp.Split.from_arg_list, +111 "STRING_SPLIT": exp.Split.from_arg_list, +112 "STRING_TO_ARRAY": exp.Split.from_arg_list, +113 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +114 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +115 "STRUCT_PACK": exp.Struct.from_arg_list, +116 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +117 "UNNEST": exp.Explode.from_arg_list, +118 } +119 +120 class Generator(generator.Generator): +121 STRUCT_DELIMITER = ("(", ")") +122 +123 TRANSFORMS = { +124 **generator.Generator.TRANSFORMS, # type: ignore +125 exp.ApproxDistinct: approx_count_distinct_sql, +126 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +127 if isinstance(seq_get(e.expressions, 0), exp.Select) +128 else rename_func("LIST_VALUE")(self, e), +129 exp.ArraySize: rename_func("ARRAY_LENGTH"), +130 exp.ArraySort: _array_sort_sql, +131 exp.ArraySum: rename_func("LIST_SUM"), +132 exp.DataType: _datatype_sql, +133 exp.DateAdd: _date_add, +134 exp.DateDiff: lambda self, e: self.func( +135 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this +136 ), +137 exp.DateStrToDate: datestrtodate_sql, +138 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", +139 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", +140 exp.Explode: rename_func("UNNEST"), +141 exp.JSONExtract: arrow_json_extract_sql, +142 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +143 exp.JSONBExtract: arrow_json_extract_sql, +144 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +145 exp.LogicalOr: rename_func("BOOL_OR"), +146 exp.Pivot: no_pivot_sql, +147 exp.Properties: no_properties_sql, +148 exp.RegexpExtract: _regexp_extract_sql, +149 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +150 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +151 exp.SafeDivide: no_safe_divide_sql, +152 exp.Split: rename_func("STR_SPLIT"), +153 exp.SortArray: _sort_array_sql, +154 exp.StrPosition: str_position_sql, +155 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +156 exp.StrToTime: str_to_time_sql, +157 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +158 exp.Struct: _struct_sql, +159 exp.TableSample: no_tablesample_sql, +160 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +161 exp.TimeStrToTime: timestrtotime_sql, +162 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +163 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +164 exp.TimeToUnix: rename_func("EPOCH"), +165 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +166 exp.TsOrDsAdd: _ts_or_ds_add, +167 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +168 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +169 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +170 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +171 } +172 +173 TYPE_MAPPING = { +174 **generator.Generator.TYPE_MAPPING, # type: ignore +175 exp.DataType.Type.VARCHAR: "TEXT", +176 exp.DataType.Type.NVARCHAR: "TEXT", +177 } +178 +179 STAR_MAPPING = { +180 **generator.Generator.STAR_MAPPING, +181 "except": "EXCLUDE", +182 }
@@ -403,7 +415,8 @@ 84 ":=": TokenType.EQ, 85 "ATTACH": TokenType.COMMAND, 86 "CHARACTER VARYING": TokenType.VARCHAR, -87 } +87 "EXCLUDE": TokenType.EXCEPT, +88 }
@@ -431,35 +444,35 @@
-
 89    class Parser(parser.Parser):
- 90        FUNCTIONS = {
- 91            **parser.Parser.FUNCTIONS,  # type: ignore
- 92            "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list,
- 93            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
- 94            "ARRAY_SORT": exp.SortArray.from_arg_list,
- 95            "ARRAY_REVERSE_SORT": _sort_array_reverse,
- 96            "EPOCH": exp.TimeToUnix.from_arg_list,
- 97            "EPOCH_MS": lambda args: exp.UnixToTime(
- 98                this=exp.Div(
- 99                    this=seq_get(args, 0),
-100                    expression=exp.Literal.number(1000),
-101                )
-102            ),
-103            "LIST_SORT": exp.SortArray.from_arg_list,
-104            "LIST_REVERSE_SORT": _sort_array_reverse,
-105            "LIST_VALUE": exp.Array.from_arg_list,
-106            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
-107            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
-108            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
-109            "STR_SPLIT": exp.Split.from_arg_list,
-110            "STRING_SPLIT": exp.Split.from_arg_list,
-111            "STRING_TO_ARRAY": exp.Split.from_arg_list,
-112            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-113            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-114            "STRUCT_PACK": exp.Struct.from_arg_list,
-115            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
-116            "UNNEST": exp.Explode.from_arg_list,
-117        }
+            
 90    class Parser(parser.Parser):
+ 91        FUNCTIONS = {
+ 92            **parser.Parser.FUNCTIONS,  # type: ignore
+ 93            "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list,
+ 94            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
+ 95            "ARRAY_SORT": exp.SortArray.from_arg_list,
+ 96            "ARRAY_REVERSE_SORT": _sort_array_reverse,
+ 97            "EPOCH": exp.TimeToUnix.from_arg_list,
+ 98            "EPOCH_MS": lambda args: exp.UnixToTime(
+ 99                this=exp.Div(
+100                    this=seq_get(args, 0),
+101                    expression=exp.Literal.number(1000),
+102                )
+103            ),
+104            "LIST_SORT": exp.SortArray.from_arg_list,
+105            "LIST_REVERSE_SORT": _sort_array_reverse,
+106            "LIST_VALUE": exp.Array.from_arg_list,
+107            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
+108            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
+109            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
+110            "STR_SPLIT": exp.Split.from_arg_list,
+111            "STRING_SPLIT": exp.Split.from_arg_list,
+112            "STRING_TO_ARRAY": exp.Split.from_arg_list,
+113            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+114            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+115            "STRUCT_PACK": exp.Struct.from_arg_list,
+116            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
+117            "UNNEST": exp.Explode.from_arg_list,
+118        }
 
@@ -516,64 +529,69 @@ Default: "nulls_are_small"
-
119    class Generator(generator.Generator):
-120        STRUCT_DELIMITER = ("(", ")")
-121
-122        TRANSFORMS = {
-123            **generator.Generator.TRANSFORMS,  # type: ignore
-124            exp.ApproxDistinct: approx_count_distinct_sql,
-125            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
-126            if isinstance(seq_get(e.expressions, 0), exp.Select)
-127            else rename_func("LIST_VALUE")(self, e),
-128            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-129            exp.ArraySort: _array_sort_sql,
-130            exp.ArraySum: rename_func("LIST_SUM"),
-131            exp.DataType: _datatype_sql,
-132            exp.DateAdd: _date_add,
-133            exp.DateDiff: lambda self, e: self.func(
-134                "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this
-135            ),
-136            exp.DateStrToDate: datestrtodate_sql,
-137            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)",
-138            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)",
-139            exp.Explode: rename_func("UNNEST"),
-140            exp.JSONExtract: arrow_json_extract_sql,
-141            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-142            exp.JSONBExtract: arrow_json_extract_sql,
-143            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
-144            exp.LogicalOr: rename_func("BOOL_OR"),
-145            exp.Pivot: no_pivot_sql,
-146            exp.Properties: no_properties_sql,
-147            exp.RegexpExtract: _regexp_extract_sql,
-148            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
-149            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
-150            exp.SafeDivide: no_safe_divide_sql,
-151            exp.Split: rename_func("STR_SPLIT"),
-152            exp.SortArray: _sort_array_sql,
-153            exp.StrPosition: str_position_sql,
-154            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
-155            exp.StrToTime: str_to_time_sql,
-156            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
-157            exp.Struct: _struct_sql,
-158            exp.TableSample: no_tablesample_sql,
-159            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
-160            exp.TimeStrToTime: timestrtotime_sql,
-161            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
-162            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
-163            exp.TimeToUnix: rename_func("EPOCH"),
-164            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
-165            exp.TsOrDsAdd: _ts_or_ds_add,
-166            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
-167            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
-168            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
-169            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
-170        }
-171
-172        TYPE_MAPPING = {
-173            **generator.Generator.TYPE_MAPPING,  # type: ignore
-174            exp.DataType.Type.VARCHAR: "TEXT",
-175            exp.DataType.Type.NVARCHAR: "TEXT",
-176        }
+            
120    class Generator(generator.Generator):
+121        STRUCT_DELIMITER = ("(", ")")
+122
+123        TRANSFORMS = {
+124            **generator.Generator.TRANSFORMS,  # type: ignore
+125            exp.ApproxDistinct: approx_count_distinct_sql,
+126            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
+127            if isinstance(seq_get(e.expressions, 0), exp.Select)
+128            else rename_func("LIST_VALUE")(self, e),
+129            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+130            exp.ArraySort: _array_sort_sql,
+131            exp.ArraySum: rename_func("LIST_SUM"),
+132            exp.DataType: _datatype_sql,
+133            exp.DateAdd: _date_add,
+134            exp.DateDiff: lambda self, e: self.func(
+135                "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this
+136            ),
+137            exp.DateStrToDate: datestrtodate_sql,
+138            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)",
+139            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)",
+140            exp.Explode: rename_func("UNNEST"),
+141            exp.JSONExtract: arrow_json_extract_sql,
+142            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+143            exp.JSONBExtract: arrow_json_extract_sql,
+144            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
+145            exp.LogicalOr: rename_func("BOOL_OR"),
+146            exp.Pivot: no_pivot_sql,
+147            exp.Properties: no_properties_sql,
+148            exp.RegexpExtract: _regexp_extract_sql,
+149            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
+150            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
+151            exp.SafeDivide: no_safe_divide_sql,
+152            exp.Split: rename_func("STR_SPLIT"),
+153            exp.SortArray: _sort_array_sql,
+154            exp.StrPosition: str_position_sql,
+155            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
+156            exp.StrToTime: str_to_time_sql,
+157            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
+158            exp.Struct: _struct_sql,
+159            exp.TableSample: no_tablesample_sql,
+160            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
+161            exp.TimeStrToTime: timestrtotime_sql,
+162            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
+163            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
+164            exp.TimeToUnix: rename_func("EPOCH"),
+165            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
+166            exp.TsOrDsAdd: _ts_or_ds_add,
+167            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
+168            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
+169            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
+170            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
+171        }
+172
+173        TYPE_MAPPING = {
+174            **generator.Generator.TYPE_MAPPING,  # type: ignore
+175            exp.DataType.Type.VARCHAR: "TEXT",
+176            exp.DataType.Type.NVARCHAR: "TEXT",
+177        }
+178
+179        STAR_MAPPING = {
+180            **generator.Generator.STAR_MAPPING,
+181            "except": "EXCLUDE",
+182        }
 
@@ -780,6 +798,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -794,6 +813,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/hive.html b/docs/sqlglot/dialects/hive.html index 143c696..4677a87 100644 --- a/docs/sqlglot/dialects/hive.html +++ b/docs/sqlglot/dialects/hive.html @@ -1204,6 +1204,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -1218,6 +1219,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/mysql.html b/docs/sqlglot/dialects/mysql.html index 84be7a3..40d0aad 100644 --- a/docs/sqlglot/dialects/mysql.html +++ b/docs/sqlglot/dialects/mysql.html @@ -1913,6 +1913,7 @@ Default: True
currentdate_sql
collate_sql
command_sql
+
comment_sql
transaction_sql
commit_sql
rollback_sql
@@ -1927,6 +1928,7 @@ Default: True
intdiv_sql
dpipe_sql
div_sql
+
overlaps_sql
distance_sql
dot_sql
eq_sql
diff --git a/docs/sqlglot/dialects/oracle.html b/docs/sqlglot/dialects/oracle.html index 23056a8..b263277 100644 --- a/docs/sqlglot/dialects/oracle.html +++ b/docs/sqlglot/dialects/oracle.html @@ -49,7 +49,7 @@ offset_sql
  • - table_sql + column_sql
  • xmltable_sql @@ -173,89 +173,99 @@ 82 "XMLTABLE": _parse_xml_table, 83 } 84 - 85 class Generator(generator.Generator): - 86 LOCKING_READS_SUPPORTED = True - 87 - 88 TYPE_MAPPING = { - 89 **generator.Generator.TYPE_MAPPING, # type: ignore - 90 exp.DataType.Type.TINYINT: "NUMBER", - 91 exp.DataType.Type.SMALLINT: "NUMBER", - 92 exp.DataType.Type.INT: "NUMBER", - 93 exp.DataType.Type.BIGINT: "NUMBER", - 94 exp.DataType.Type.DECIMAL: "NUMBER", - 95 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", - 96 exp.DataType.Type.VARCHAR: "VARCHAR2", - 97 exp.DataType.Type.NVARCHAR: "NVARCHAR2", - 98 exp.DataType.Type.TEXT: "CLOB", - 99 exp.DataType.Type.BINARY: "BLOB", -100 exp.DataType.Type.VARBINARY: "BLOB", -101 } -102 -103 TRANSFORMS = { -104 **generator.Generator.TRANSFORMS, # type: ignore -105 **transforms.UNALIAS_GROUP, # type: ignore -106 exp.ILike: no_ilike_sql, -107 exp.Limit: _limit_sql, -108 exp.Trim: trim_sql, -109 exp.Matches: rename_func("DECODE"), -110 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -111 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -112 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", -113 exp.Substring: rename_func("SUBSTR"), -114 } -115 -116 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: -117 return csv( -118 *sqls, -119 *[self.sql(sql) for sql in expression.args.get("joins") or []], -120 self.sql(expression, "match"), -121 *[self.sql(sql) for sql in expression.args.get("laterals") or []], -122 self.sql(expression, "where"), -123 self.sql(expression, "group"), -124 self.sql(expression, "having"), -125 self.sql(expression, "qualify"), -126 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) -127 if expression.args.get("windows") -128 else "", -129 self.sql(expression, "distribute"), -130 self.sql(expression, "sort"), -131 self.sql(expression, "cluster"), -132 self.sql(expression, "order"), -133 self.sql(expression, "offset"), # offset before limit in oracle -134 self.sql(expression, "limit"), -135 self.sql(expression, "lock"), -136 sep="", -137 ) -138 -139 def offset_sql(self, expression: exp.Offset) -> str: -140 return f"{super().offset_sql(expression)} ROWS" -141 -142 def table_sql(self, expression: exp.Table, sep: str = " ") -> str: -143 return super().table_sql(expression, sep=sep) -144 -145 def xmltable_sql(self, expression: exp.XMLTable) -> str: -146 this = self.sql(expression, "this") -147 passing = self.expressions(expression, "passing") -148 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -149 columns = self.expressions(expression, "columns") -150 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -151 by_ref = ( -152 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -153 ) -154 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" -155 -156 class Tokenizer(tokens.Tokenizer): -157 KEYWORDS = { -158 **tokens.Tokenizer.KEYWORDS, -159 "COLUMNS": TokenType.COLUMN, -160 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -161 "MINUS": TokenType.EXCEPT, -162 "NVARCHAR2": TokenType.NVARCHAR, -163 "RETURNING": TokenType.RETURNING, -164 "START": TokenType.BEGIN, -165 "TOP": TokenType.TOP, -166 "VARCHAR2": TokenType.VARCHAR, -167 } + 85 def _parse_column(self) -> t.Optional[exp.Expression]: + 86 column = super()._parse_column() + 87 if column: + 88 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) + 89 return column + 90 + 91 class Generator(generator.Generator): + 92 LOCKING_READS_SUPPORTED = True + 93 + 94 TYPE_MAPPING = { + 95 **generator.Generator.TYPE_MAPPING, # type: ignore + 96 exp.DataType.Type.TINYINT: "NUMBER", + 97 exp.DataType.Type.SMALLINT: "NUMBER", + 98 exp.DataType.Type.INT: "NUMBER", + 99 exp.DataType.Type.BIGINT: "NUMBER", +100 exp.DataType.Type.DECIMAL: "NUMBER", +101 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +102 exp.DataType.Type.VARCHAR: "VARCHAR2", +103 exp.DataType.Type.NVARCHAR: "NVARCHAR2", +104 exp.DataType.Type.TEXT: "CLOB", +105 exp.DataType.Type.BINARY: "BLOB", +106 exp.DataType.Type.VARBINARY: "BLOB", +107 } +108 +109 TRANSFORMS = { +110 **generator.Generator.TRANSFORMS, # type: ignore +111 **transforms.UNALIAS_GROUP, # type: ignore +112 exp.ILike: no_ilike_sql, +113 exp.Limit: _limit_sql, +114 exp.Trim: trim_sql, +115 exp.Matches: rename_func("DECODE"), +116 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +117 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), +118 exp.Table: lambda self, e: self.table_sql(e, sep=" "), +119 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +120 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", +121 exp.Substring: rename_func("SUBSTR"), +122 } +123 +124 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: +125 return csv( +126 *sqls, +127 *[self.sql(sql) for sql in expression.args.get("joins") or []], +128 self.sql(expression, "match"), +129 *[self.sql(sql) for sql in expression.args.get("laterals") or []], +130 self.sql(expression, "where"), +131 self.sql(expression, "group"), +132 self.sql(expression, "having"), +133 self.sql(expression, "qualify"), +134 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) +135 if expression.args.get("windows") +136 else "", +137 self.sql(expression, "distribute"), +138 self.sql(expression, "sort"), +139 self.sql(expression, "cluster"), +140 self.sql(expression, "order"), +141 self.sql(expression, "offset"), # offset before limit in oracle +142 self.sql(expression, "limit"), +143 self.sql(expression, "lock"), +144 sep="", +145 ) +146 +147 def offset_sql(self, expression: exp.Offset) -> str: +148 return f"{super().offset_sql(expression)} ROWS" +149 +150 def column_sql(self, expression: exp.Column) -> str: +151 column = super().column_sql(expression) +152 return f"{column} (+)" if expression.args.get("join_mark") else column +153 +154 def xmltable_sql(self, expression: exp.XMLTable) -> str: +155 this = self.sql(expression, "this") +156 passing = self.expressions(expression, "passing") +157 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +158 columns = self.expressions(expression, "columns") +159 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +160 by_ref = ( +161 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +162 ) +163 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +164 +165 class Tokenizer(tokens.Tokenizer): +166 KEYWORDS = { +167 **tokens.Tokenizer.KEYWORDS, +168 "(+)": TokenType.JOIN_MARKER, +169 "COLUMNS": TokenType.COLUMN, +170 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +171 "MINUS": TokenType.EXCEPT, +172 "NVARCHAR2": TokenType.NVARCHAR, +173 "RETURNING": TokenType.RETURNING, +174 "START": TokenType.BEGIN, +175 "TOP": TokenType.TOP, +176 "VARCHAR2": TokenType.VARCHAR, +177 }
  • @@ -309,89 +319,99 @@ 83 "XMLTABLE": _parse_xml_table, 84 } 85 - 86 class Generator(generator.Generator): - 87 LOCKING_READS_SUPPORTED = True - 88 - 89 TYPE_MAPPING = { - 90 **generator.Generator.TYPE_MAPPING, # type: ignore - 91 exp.DataType.Type.TINYINT: "NUMBER", - 92 exp.DataType.Type.SMALLINT: "NUMBER", - 93 exp.DataType.Type.INT: "NUMBER", - 94 exp.DataType.Type.BIGINT: "NUMBER", - 95 exp.DataType.Type.DECIMAL: "NUMBER", - 96 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", - 97 exp.DataType.Type.VARCHAR: "VARCHAR2", - 98 exp.DataType.Type.NVARCHAR: "NVARCHAR2", - 99 exp.DataType.Type.TEXT: "CLOB", -100 exp.DataType.Type.BINARY: "BLOB", -101 exp.DataType.Type.VARBINARY: "BLOB", -102 } -103 -104 TRANSFORMS = { -105 **generator.Generator.TRANSFORMS, # type: ignore -106 **transforms.UNALIAS_GROUP, # type: ignore -107 exp.ILike: no_ilike_sql, -108 exp.Limit: _limit_sql, -109 exp.Trim: trim_sql, -110 exp.Matches: rename_func("DECODE"), -111 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -112 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -113 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", -114 exp.Substring: rename_func("SUBSTR"), -115 } -116 -117 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: -118 return csv( -119 *sqls, -120 *[self.sql(sql) for sql in expression.args.get("joins") or []], -121 self.sql(expression, "match"), -122 *[self.sql(sql) for sql in expression.args.get("laterals") or []], -123 self.sql(expression, "where"), -124 self.sql(expression, "group"), -125 self.sql(expression, "having"), -126 self.sql(expression, "qualify"), -127 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) -128 if expression.args.get("windows") -129 else "", -130 self.sql(expression, "distribute"), -131 self.sql(expression, "sort"), -132 self.sql(expression, "cluster"), -133 self.sql(expression, "order"), -134 self.sql(expression, "offset"), # offset before limit in oracle -135 self.sql(expression, "limit"), -136 self.sql(expression, "lock"), -137 sep="", -138 ) -139 -140 def offset_sql(self, expression: exp.Offset) -> str: -141 return f"{super().offset_sql(expression)} ROWS" -142 -143 def table_sql(self, expression: exp.Table, sep: str = " ") -> str: -144 return super().table_sql(expression, sep=sep) -145 -146 def xmltable_sql(self, expression: exp.XMLTable) -> str: -147 this = self.sql(expression, "this") -148 passing = self.expressions(expression, "passing") -149 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" -150 columns = self.expressions(expression, "columns") -151 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" -152 by_ref = ( -153 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" -154 ) -155 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" -156 -157 class Tokenizer(tokens.Tokenizer): -158 KEYWORDS = { -159 **tokens.Tokenizer.KEYWORDS, -160 "COLUMNS": TokenType.COLUMN, -161 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -162 "MINUS": TokenType.EXCEPT, -163 "NVARCHAR2": TokenType.NVARCHAR, -164 "RETURNING": TokenType.RETURNING, -165 "START": TokenType.BEGIN, -166 "TOP": TokenType.TOP, -167 "VARCHAR2": TokenType.VARCHAR, -168 } + 86 def _parse_column(self) -> t.Optional[exp.Expression]: + 87 column = super()._parse_column() + 88 if column: + 89 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) + 90 return column + 91 + 92 class Generator(generator.Generator): + 93 LOCKING_READS_SUPPORTED = True + 94 + 95 TYPE_MAPPING = { + 96 **generator.Generator.TYPE_MAPPING, # type: ignore + 97 exp.DataType.Type.TINYINT: "NUMBER", + 98 exp.DataType.Type.SMALLINT: "NUMBER", + 99 exp.DataType.Type.INT: "NUMBER", +100 exp.DataType.Type.BIGINT: "NUMBER", +101 exp.DataType.Type.DECIMAL: "NUMBER", +102 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +103 exp.DataType.Type.VARCHAR: "VARCHAR2", +104 exp.DataType.Type.NVARCHAR: "NVARCHAR2", +105 exp.DataType.Type.TEXT: "CLOB", +106 exp.DataType.Type.BINARY: "BLOB", +107 exp.DataType.Type.VARBINARY: "BLOB", +108 } +109 +110 TRANSFORMS = { +111 **generator.Generator.TRANSFORMS, # type: ignore +112 **transforms.UNALIAS_GROUP, # type: ignore +113 exp.ILike: no_ilike_sql, +114 exp.Limit: _limit_sql, +115 exp.Trim: trim_sql, +116 exp.Matches: rename_func("DECODE"), +117 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +118 exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "), +119 exp.Table: lambda self, e: self.table_sql(e, sep=" "), +120 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +121 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)", +122 exp.Substring: rename_func("SUBSTR"), +123 } +124 +125 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: +126 return csv( +127 *sqls, +128 *[self.sql(sql) for sql in expression.args.get("joins") or []], +129 self.sql(expression, "match"), +130 *[self.sql(sql) for sql in expression.args.get("laterals") or []], +131 self.sql(expression, "where"), +132 self.sql(expression, "group"), +133 self.sql(expression, "having"), +134 self.sql(expression, "qualify"), +135 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) +136 if expression.args.get("windows") +137 else "", +138 self.sql(expression, "distribute"), +139 self.sql(expression, "sort"), +140 self.sql(expression, "cluster"), +141 self.sql(expression, "order"), +142 self.sql(expression, "offset"), # offset before limit in oracle +143 self.sql(expression, "limit"), +144 self.sql(expression, "lock"), +145 sep="", +146 ) +147 +148 def offset_sql(self, expression: exp.Offset) -> str: +149 return f"{super().offset_sql(expression)} ROWS" +150 +151 def column_sql(self, expression: exp.Column) -> str: +152 column = super().column_sql(expression) +153 return f"{column} (+)" if expression.args.get("join_mark") else column +154 +155 def xmltable_sql(self, expression: exp.XMLTable) -> str: +156 this = self.sql(expression, "this") +157 passing = self.expressions(expression, "passing") +158 passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else "" +159 columns = self.expressions(expression, "columns") +160 columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else "" +161 by_ref = ( +162 f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else "" +163 ) +164 return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}" +165 +166 class Tokenizer(tokens.Tokenizer): +167 KEYWORDS = { +168 **tokens.Tokenizer.KEYWORDS, +169 "(+)": TokenType.JOIN_MARKER, +170 "COLUMNS": TokenType.COLUMN, +171 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +172 "MINUS": TokenType.EXCEPT, +173 "NVARCHAR2": TokenType.NVARCHAR, +174 "RETURNING": TokenType.RETURNING, +175 "START": TokenType.BEGIN, +176 "TOP": TokenType.TOP, +177 "VARCHAR2": TokenType.VARCHAR, +178 }
    @@ -435,6 +455,12 @@ 82 **parser.Parser.FUNCTION_PARSERS, 83 "XMLTABLE": _parse_xml_table, 84 } +85 +86 def _parse_column(self) -> t.Optional[exp.Expression]: +87 column = super()._parse_column() +88 if column: +89 column.set("join_mark", self._match(TokenType.JOIN_MARKER)) +90 return column
    @@ -491,76 +517,79 @@ Default: "nulls_are_small"
    -
     86    class Generator(generator.Generator):
    - 87        LOCKING_READS_SUPPORTED = True
    - 88
    - 89        TYPE_MAPPING = {
    - 90            **generator.Generator.TYPE_MAPPING,  # type: ignore
    - 91            exp.DataType.Type.TINYINT: "NUMBER",
    - 92            exp.DataType.Type.SMALLINT: "NUMBER",
    - 93            exp.DataType.Type.INT: "NUMBER",
    - 94            exp.DataType.Type.BIGINT: "NUMBER",
    - 95            exp.DataType.Type.DECIMAL: "NUMBER",
    - 96            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
    - 97            exp.DataType.Type.VARCHAR: "VARCHAR2",
    - 98            exp.DataType.Type.NVARCHAR: "NVARCHAR2",
    - 99            exp.DataType.Type.TEXT: "CLOB",
    -100            exp.DataType.Type.BINARY: "BLOB",
    -101            exp.DataType.Type.VARBINARY: "BLOB",
    -102        }
    -103
    -104        TRANSFORMS = {
    -105            **generator.Generator.TRANSFORMS,  # type: ignore
    -106            **transforms.UNALIAS_GROUP,  # type: ignore
    -107            exp.ILike: no_ilike_sql,
    -108            exp.Limit: _limit_sql,
    -109            exp.Trim: trim_sql,
    -110            exp.Matches: rename_func("DECODE"),
    -111            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    -112            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
    -113            exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)",
    -114            exp.Substring: rename_func("SUBSTR"),
    -115        }
    -116
    -117        def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    -118            return csv(
    -119                *sqls,
    -120                *[self.sql(sql) for sql in expression.args.get("joins") or []],
    -121                self.sql(expression, "match"),
    -122                *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    -123                self.sql(expression, "where"),
    -124                self.sql(expression, "group"),
    -125                self.sql(expression, "having"),
    -126                self.sql(expression, "qualify"),
    -127                self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    -128                if expression.args.get("windows")
    -129                else "",
    -130                self.sql(expression, "distribute"),
    -131                self.sql(expression, "sort"),
    -132                self.sql(expression, "cluster"),
    -133                self.sql(expression, "order"),
    -134                self.sql(expression, "offset"),  # offset before limit in oracle
    -135                self.sql(expression, "limit"),
    -136                self.sql(expression, "lock"),
    -137                sep="",
    -138            )
    -139
    -140        def offset_sql(self, expression: exp.Offset) -> str:
    -141            return f"{super().offset_sql(expression)} ROWS"
    -142
    -143        def table_sql(self, expression: exp.Table, sep: str = " ") -> str:
    -144            return super().table_sql(expression, sep=sep)
    -145
    -146        def xmltable_sql(self, expression: exp.XMLTable) -> str:
    -147            this = self.sql(expression, "this")
    -148            passing = self.expressions(expression, "passing")
    -149            passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else ""
    -150            columns = self.expressions(expression, "columns")
    -151            columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else ""
    -152            by_ref = (
    -153                f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else ""
    -154            )
    -155            return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"
    +            
     92    class Generator(generator.Generator):
    + 93        LOCKING_READS_SUPPORTED = True
    + 94
    + 95        TYPE_MAPPING = {
    + 96            **generator.Generator.TYPE_MAPPING,  # type: ignore
    + 97            exp.DataType.Type.TINYINT: "NUMBER",
    + 98            exp.DataType.Type.SMALLINT: "NUMBER",
    + 99            exp.DataType.Type.INT: "NUMBER",
    +100            exp.DataType.Type.BIGINT: "NUMBER",
    +101            exp.DataType.Type.DECIMAL: "NUMBER",
    +102            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
    +103            exp.DataType.Type.VARCHAR: "VARCHAR2",
    +104            exp.DataType.Type.NVARCHAR: "NVARCHAR2",
    +105            exp.DataType.Type.TEXT: "CLOB",
    +106            exp.DataType.Type.BINARY: "BLOB",
    +107            exp.DataType.Type.VARBINARY: "BLOB",
    +108        }
    +109
    +110        TRANSFORMS = {
    +111            **generator.Generator.TRANSFORMS,  # type: ignore
    +112            **transforms.UNALIAS_GROUP,  # type: ignore
    +113            exp.ILike: no_ilike_sql,
    +114            exp.Limit: _limit_sql,
    +115            exp.Trim: trim_sql,
    +116            exp.Matches: rename_func("DECODE"),
    +117            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +118            exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "),
    +119            exp.Table: lambda self, e: self.table_sql(e, sep=" "),
    +120            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
    +121            exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)",
    +122            exp.Substring: rename_func("SUBSTR"),
    +123        }
    +124
    +125        def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    +126            return csv(
    +127                *sqls,
    +128                *[self.sql(sql) for sql in expression.args.get("joins") or []],
    +129                self.sql(expression, "match"),
    +130                *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    +131                self.sql(expression, "where"),
    +132                self.sql(expression, "group"),
    +133                self.sql(expression, "having"),
    +134                self.sql(expression, "qualify"),
    +135                self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    +136                if expression.args.get("windows")
    +137                else "",
    +138                self.sql(expression, "distribute"),
    +139                self.sql(expression, "sort"),
    +140                self.sql(expression, "cluster"),
    +141                self.sql(expression, "order"),
    +142                self.sql(expression, "offset"),  # offset before limit in oracle
    +143                self.sql(expression, "limit"),
    +144                self.sql(expression, "lock"),
    +145                sep="",
    +146            )
    +147
    +148        def offset_sql(self, expression: exp.Offset) -> str:
    +149            return f"{super().offset_sql(expression)} ROWS"
    +150
    +151        def column_sql(self, expression: exp.Column) -> str:
    +152            column = super().column_sql(expression)
    +153            return f"{column} (+)" if expression.args.get("join_mark") else column
    +154
    +155        def xmltable_sql(self, expression: exp.XMLTable) -> str:
    +156            this = self.sql(expression, "this")
    +157            passing = self.expressions(expression, "passing")
    +158            passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else ""
    +159            columns = self.expressions(expression, "columns")
    +160            columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else ""
    +161            by_ref = (
    +162                f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else ""
    +163            )
    +164            return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"
     
    @@ -620,28 +649,28 @@ Default: True
    -
    117        def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    -118            return csv(
    -119                *sqls,
    -120                *[self.sql(sql) for sql in expression.args.get("joins") or []],
    -121                self.sql(expression, "match"),
    -122                *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    -123                self.sql(expression, "where"),
    -124                self.sql(expression, "group"),
    -125                self.sql(expression, "having"),
    -126                self.sql(expression, "qualify"),
    -127                self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    -128                if expression.args.get("windows")
    -129                else "",
    -130                self.sql(expression, "distribute"),
    -131                self.sql(expression, "sort"),
    -132                self.sql(expression, "cluster"),
    -133                self.sql(expression, "order"),
    -134                self.sql(expression, "offset"),  # offset before limit in oracle
    -135                self.sql(expression, "limit"),
    -136                self.sql(expression, "lock"),
    -137                sep="",
    -138            )
    +            
    125        def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    +126            return csv(
    +127                *sqls,
    +128                *[self.sql(sql) for sql in expression.args.get("joins") or []],
    +129                self.sql(expression, "match"),
    +130                *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    +131                self.sql(expression, "where"),
    +132                self.sql(expression, "group"),
    +133                self.sql(expression, "having"),
    +134                self.sql(expression, "qualify"),
    +135                self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    +136                if expression.args.get("windows")
    +137                else "",
    +138                self.sql(expression, "distribute"),
    +139                self.sql(expression, "sort"),
    +140                self.sql(expression, "cluster"),
    +141                self.sql(expression, "order"),
    +142                self.sql(expression, "offset"),  # offset before limit in oracle
    +143                self.sql(expression, "limit"),
    +144                self.sql(expression, "lock"),
    +145                sep="",
    +146            )
     
    @@ -659,27 +688,28 @@ Default: True
    -
    140        def offset_sql(self, expression: exp.Offset) -> str:
    -141            return f"{super().offset_sql(expression)} ROWS"
    +            
    148        def offset_sql(self, expression: exp.Offset) -> str:
    +149            return f"{super().offset_sql(expression)} ROWS"
     
    -
    - +
    +
    def - table_sql(self, expression: sqlglot.expressions.Table, sep: str = ' ') -> str: + column_sql(self, expression: sqlglot.expressions.Column) -> str: - +
    - -
    143        def table_sql(self, expression: exp.Table, sep: str = " ") -> str:
    -144            return super().table_sql(expression, sep=sep)
    +    
    +            
    151        def column_sql(self, expression: exp.Column) -> str:
    +152            column = super().column_sql(expression)
    +153            return f"{column} (+)" if expression.args.get("join_mark") else column
     
    @@ -697,16 +727,16 @@ Default: True
    -
    146        def xmltable_sql(self, expression: exp.XMLTable) -> str:
    -147            this = self.sql(expression, "this")
    -148            passing = self.expressions(expression, "passing")
    -149            passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else ""
    -150            columns = self.expressions(expression, "columns")
    -151            columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else ""
    -152            by_ref = (
    -153                f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else ""
    -154            )
    -155            return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"
    +            
    155        def xmltable_sql(self, expression: exp.XMLTable) -> str:
    +156            this = self.sql(expression, "this")
    +157            passing = self.expressions(expression, "passing")
    +158            passing = f"{self.sep()}PASSING{self.seg(passing)}" if passing else ""
    +159            columns = self.expressions(expression, "columns")
    +160            columns = f"{self.sep()}COLUMNS{self.seg(columns)}" if columns else ""
    +161            by_ref = (
    +162                f"{self.sep()}RETURNING SEQUENCE BY REF" if expression.args.get("by_ref") else ""
    +163            )
    +164            return f"XMLTABLE({self.sep('')}{self.indent(this + passing + by_ref + columns)}{self.seg(')', sep='')}"
     
    @@ -732,7 +762,6 @@ Default: True
    uncache_sql
    cache_sql
    characterset_sql
    -
    column_sql
    columndef_sql
    columnconstraint_sql
    autoincrementcolumnconstraint_sql
    @@ -786,6 +815,7 @@ Default: True
    introducer_sql
    pseudotype_sql
    rowformatdelimitedproperty_sql
    +
    table_sql
    tablesample_sql
    pivot_sql
    tuple_sql
    @@ -868,6 +898,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -882,6 +913,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    @@ -938,18 +970,19 @@ Default: True
    -
    157    class Tokenizer(tokens.Tokenizer):
    -158        KEYWORDS = {
    -159            **tokens.Tokenizer.KEYWORDS,
    -160            "COLUMNS": TokenType.COLUMN,
    -161            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    -162            "MINUS": TokenType.EXCEPT,
    -163            "NVARCHAR2": TokenType.NVARCHAR,
    -164            "RETURNING": TokenType.RETURNING,
    -165            "START": TokenType.BEGIN,
    -166            "TOP": TokenType.TOP,
    -167            "VARCHAR2": TokenType.VARCHAR,
    -168        }
    +            
    166    class Tokenizer(tokens.Tokenizer):
    +167        KEYWORDS = {
    +168            **tokens.Tokenizer.KEYWORDS,
    +169            "(+)": TokenType.JOIN_MARKER,
    +170            "COLUMNS": TokenType.COLUMN,
    +171            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    +172            "MINUS": TokenType.EXCEPT,
    +173            "NVARCHAR2": TokenType.NVARCHAR,
    +174            "RETURNING": TokenType.RETURNING,
    +175            "START": TokenType.BEGIN,
    +176            "TOP": TokenType.TOP,
    +177            "VARCHAR2": TokenType.VARCHAR,
    +178        }
     
    diff --git a/docs/sqlglot/dialects/postgres.html b/docs/sqlglot/dialects/postgres.html index abc0ee2..b6da041 100644 --- a/docs/sqlglot/dialects/postgres.html +++ b/docs/sqlglot/dialects/postgres.html @@ -301,107 +301,105 @@
    222 "BEGIN TRANSACTION": TokenType.BEGIN, 223 "BIGSERIAL": TokenType.BIGSERIAL, 224 "CHARACTER VARYING": TokenType.VARCHAR, -225 "COMMENT ON": TokenType.COMMAND, -226 "DECLARE": TokenType.COMMAND, -227 "DO": TokenType.COMMAND, -228 "GRANT": TokenType.COMMAND, -229 "HSTORE": TokenType.HSTORE, -230 "JSONB": TokenType.JSONB, -231 "REFRESH": TokenType.COMMAND, -232 "REINDEX": TokenType.COMMAND, -233 "RESET": TokenType.COMMAND, -234 "REVOKE": TokenType.COMMAND, -235 "SERIAL": TokenType.SERIAL, -236 "SMALLSERIAL": TokenType.SMALLSERIAL, -237 "TEMP": TokenType.TEMPORARY, -238 "UUID": TokenType.UUID, -239 "CSTRING": TokenType.PSEUDO_TYPE, -240 } -241 -242 SINGLE_TOKENS = { -243 **tokens.Tokenizer.SINGLE_TOKENS, -244 "$": TokenType.PARAMETER, -245 } -246 -247 class Parser(parser.Parser): -248 STRICT_CAST = False -249 -250 FUNCTIONS = { -251 **parser.Parser.FUNCTIONS, # type: ignore -252 "NOW": exp.CurrentTimestamp.from_arg_list, -253 "TO_TIMESTAMP": _to_timestamp, -254 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), -255 "GENERATE_SERIES": _generate_series, -256 } -257 -258 BITWISE = { -259 **parser.Parser.BITWISE, # type: ignore -260 TokenType.HASH: exp.BitwiseXor, -261 } -262 -263 FACTOR = { -264 **parser.Parser.FACTOR, # type: ignore -265 TokenType.CARET: exp.Pow, -266 } -267 -268 class Generator(generator.Generator): -269 LOCKING_READS_SUPPORTED = True -270 PARAMETER_TOKEN = "$" -271 -272 TYPE_MAPPING = { -273 **generator.Generator.TYPE_MAPPING, # type: ignore -274 exp.DataType.Type.TINYINT: "SMALLINT", -275 exp.DataType.Type.FLOAT: "REAL", -276 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -277 exp.DataType.Type.BINARY: "BYTEA", -278 exp.DataType.Type.VARBINARY: "BYTEA", -279 exp.DataType.Type.DATETIME: "TIMESTAMP", -280 } -281 -282 TRANSFORMS = { -283 **generator.Generator.TRANSFORMS, # type: ignore -284 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), -285 exp.ColumnDef: preprocess( -286 [ -287 _auto_increment_to_serial, -288 _serial_to_generated, -289 ], -290 delegate("columndef_sql"), -291 ), -292 exp.JSONExtract: arrow_json_extract_sql, -293 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -294 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), -295 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), -296 exp.JSONBContains: lambda self, e: self.binary(e, "?"), -297 exp.Pow: lambda self, e: self.binary(e, "^"), -298 exp.CurrentDate: no_paren_current_date_sql, -299 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -300 exp.DateAdd: _date_add_sql("+"), -301 exp.DateSub: _date_add_sql("-"), -302 exp.DateDiff: _date_diff_sql, -303 exp.LogicalOr: rename_func("BOOL_OR"), -304 exp.RegexpLike: lambda self, e: self.binary(e, "~"), -305 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), -306 exp.StrPosition: str_position_sql, -307 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -308 exp.Substring: _substring_sql, -309 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", -310 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -311 exp.TableSample: no_tablesample_sql, -312 exp.Trim: trim_sql, -313 exp.TryCast: no_trycast_sql, -314 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", -315 exp.DataType: _datatype_sql, -316 exp.GroupConcat: _string_agg_sql, -317 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" -318 if isinstance(seq_get(e.expressions, 0), exp.Select) -319 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", -320 } -321 -322 PROPERTIES_LOCATION = { -323 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -324 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -325 } +225 "DECLARE": TokenType.COMMAND, +226 "DO": TokenType.COMMAND, +227 "HSTORE": TokenType.HSTORE, +228 "JSONB": TokenType.JSONB, +229 "REFRESH": TokenType.COMMAND, +230 "REINDEX": TokenType.COMMAND, +231 "RESET": TokenType.COMMAND, +232 "REVOKE": TokenType.COMMAND, +233 "SERIAL": TokenType.SERIAL, +234 "SMALLSERIAL": TokenType.SMALLSERIAL, +235 "TEMP": TokenType.TEMPORARY, +236 "UUID": TokenType.UUID, +237 "CSTRING": TokenType.PSEUDO_TYPE, +238 } +239 +240 SINGLE_TOKENS = { +241 **tokens.Tokenizer.SINGLE_TOKENS, +242 "$": TokenType.PARAMETER, +243 } +244 +245 class Parser(parser.Parser): +246 STRICT_CAST = False +247 +248 FUNCTIONS = { +249 **parser.Parser.FUNCTIONS, # type: ignore +250 "NOW": exp.CurrentTimestamp.from_arg_list, +251 "TO_TIMESTAMP": _to_timestamp, +252 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), +253 "GENERATE_SERIES": _generate_series, +254 } +255 +256 BITWISE = { +257 **parser.Parser.BITWISE, # type: ignore +258 TokenType.HASH: exp.BitwiseXor, +259 } +260 +261 FACTOR = { +262 **parser.Parser.FACTOR, # type: ignore +263 TokenType.CARET: exp.Pow, +264 } +265 +266 class Generator(generator.Generator): +267 LOCKING_READS_SUPPORTED = True +268 PARAMETER_TOKEN = "$" +269 +270 TYPE_MAPPING = { +271 **generator.Generator.TYPE_MAPPING, # type: ignore +272 exp.DataType.Type.TINYINT: "SMALLINT", +273 exp.DataType.Type.FLOAT: "REAL", +274 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +275 exp.DataType.Type.BINARY: "BYTEA", +276 exp.DataType.Type.VARBINARY: "BYTEA", +277 exp.DataType.Type.DATETIME: "TIMESTAMP", +278 } +279 +280 TRANSFORMS = { +281 **generator.Generator.TRANSFORMS, # type: ignore +282 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), +283 exp.ColumnDef: preprocess( +284 [ +285 _auto_increment_to_serial, +286 _serial_to_generated, +287 ], +288 delegate("columndef_sql"), +289 ), +290 exp.JSONExtract: arrow_json_extract_sql, +291 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +292 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), +293 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), +294 exp.JSONBContains: lambda self, e: self.binary(e, "?"), +295 exp.Pow: lambda self, e: self.binary(e, "^"), +296 exp.CurrentDate: no_paren_current_date_sql, +297 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +298 exp.DateAdd: _date_add_sql("+"), +299 exp.DateSub: _date_add_sql("-"), +300 exp.DateDiff: _date_diff_sql, +301 exp.LogicalOr: rename_func("BOOL_OR"), +302 exp.RegexpLike: lambda self, e: self.binary(e, "~"), +303 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), +304 exp.StrPosition: str_position_sql, +305 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +306 exp.Substring: _substring_sql, +307 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", +308 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +309 exp.TableSample: no_tablesample_sql, +310 exp.Trim: trim_sql, +311 exp.TryCast: no_trycast_sql, +312 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", +313 exp.DataType: _datatype_sql, +314 exp.GroupConcat: _string_agg_sql, +315 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" +316 if isinstance(seq_get(e.expressions, 0), exp.Select) +317 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", +318 } +319 +320 PROPERTIES_LOCATION = { +321 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +322 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +323 }
    @@ -467,107 +465,105 @@ 223 "BEGIN TRANSACTION": TokenType.BEGIN, 224 "BIGSERIAL": TokenType.BIGSERIAL, 225 "CHARACTER VARYING": TokenType.VARCHAR, -226 "COMMENT ON": TokenType.COMMAND, -227 "DECLARE": TokenType.COMMAND, -228 "DO": TokenType.COMMAND, -229 "GRANT": TokenType.COMMAND, -230 "HSTORE": TokenType.HSTORE, -231 "JSONB": TokenType.JSONB, -232 "REFRESH": TokenType.COMMAND, -233 "REINDEX": TokenType.COMMAND, -234 "RESET": TokenType.COMMAND, -235 "REVOKE": TokenType.COMMAND, -236 "SERIAL": TokenType.SERIAL, -237 "SMALLSERIAL": TokenType.SMALLSERIAL, -238 "TEMP": TokenType.TEMPORARY, -239 "UUID": TokenType.UUID, -240 "CSTRING": TokenType.PSEUDO_TYPE, -241 } -242 -243 SINGLE_TOKENS = { -244 **tokens.Tokenizer.SINGLE_TOKENS, -245 "$": TokenType.PARAMETER, -246 } -247 -248 class Parser(parser.Parser): -249 STRICT_CAST = False -250 -251 FUNCTIONS = { -252 **parser.Parser.FUNCTIONS, # type: ignore -253 "NOW": exp.CurrentTimestamp.from_arg_list, -254 "TO_TIMESTAMP": _to_timestamp, -255 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), -256 "GENERATE_SERIES": _generate_series, -257 } -258 -259 BITWISE = { -260 **parser.Parser.BITWISE, # type: ignore -261 TokenType.HASH: exp.BitwiseXor, -262 } -263 -264 FACTOR = { -265 **parser.Parser.FACTOR, # type: ignore -266 TokenType.CARET: exp.Pow, -267 } -268 -269 class Generator(generator.Generator): -270 LOCKING_READS_SUPPORTED = True -271 PARAMETER_TOKEN = "$" -272 -273 TYPE_MAPPING = { -274 **generator.Generator.TYPE_MAPPING, # type: ignore -275 exp.DataType.Type.TINYINT: "SMALLINT", -276 exp.DataType.Type.FLOAT: "REAL", -277 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", -278 exp.DataType.Type.BINARY: "BYTEA", -279 exp.DataType.Type.VARBINARY: "BYTEA", -280 exp.DataType.Type.DATETIME: "TIMESTAMP", -281 } -282 -283 TRANSFORMS = { -284 **generator.Generator.TRANSFORMS, # type: ignore -285 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), -286 exp.ColumnDef: preprocess( -287 [ -288 _auto_increment_to_serial, -289 _serial_to_generated, -290 ], -291 delegate("columndef_sql"), -292 ), -293 exp.JSONExtract: arrow_json_extract_sql, -294 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -295 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), -296 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), -297 exp.JSONBContains: lambda self, e: self.binary(e, "?"), -298 exp.Pow: lambda self, e: self.binary(e, "^"), -299 exp.CurrentDate: no_paren_current_date_sql, -300 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -301 exp.DateAdd: _date_add_sql("+"), -302 exp.DateSub: _date_add_sql("-"), -303 exp.DateDiff: _date_diff_sql, -304 exp.LogicalOr: rename_func("BOOL_OR"), -305 exp.RegexpLike: lambda self, e: self.binary(e, "~"), -306 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), -307 exp.StrPosition: str_position_sql, -308 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -309 exp.Substring: _substring_sql, -310 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", -311 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", -312 exp.TableSample: no_tablesample_sql, -313 exp.Trim: trim_sql, -314 exp.TryCast: no_trycast_sql, -315 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", -316 exp.DataType: _datatype_sql, -317 exp.GroupConcat: _string_agg_sql, -318 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" -319 if isinstance(seq_get(e.expressions, 0), exp.Select) -320 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", -321 } -322 -323 PROPERTIES_LOCATION = { -324 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -325 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, -326 } +226 "DECLARE": TokenType.COMMAND, +227 "DO": TokenType.COMMAND, +228 "HSTORE": TokenType.HSTORE, +229 "JSONB": TokenType.JSONB, +230 "REFRESH": TokenType.COMMAND, +231 "REINDEX": TokenType.COMMAND, +232 "RESET": TokenType.COMMAND, +233 "REVOKE": TokenType.COMMAND, +234 "SERIAL": TokenType.SERIAL, +235 "SMALLSERIAL": TokenType.SMALLSERIAL, +236 "TEMP": TokenType.TEMPORARY, +237 "UUID": TokenType.UUID, +238 "CSTRING": TokenType.PSEUDO_TYPE, +239 } +240 +241 SINGLE_TOKENS = { +242 **tokens.Tokenizer.SINGLE_TOKENS, +243 "$": TokenType.PARAMETER, +244 } +245 +246 class Parser(parser.Parser): +247 STRICT_CAST = False +248 +249 FUNCTIONS = { +250 **parser.Parser.FUNCTIONS, # type: ignore +251 "NOW": exp.CurrentTimestamp.from_arg_list, +252 "TO_TIMESTAMP": _to_timestamp, +253 "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"), +254 "GENERATE_SERIES": _generate_series, +255 } +256 +257 BITWISE = { +258 **parser.Parser.BITWISE, # type: ignore +259 TokenType.HASH: exp.BitwiseXor, +260 } +261 +262 FACTOR = { +263 **parser.Parser.FACTOR, # type: ignore +264 TokenType.CARET: exp.Pow, +265 } +266 +267 class Generator(generator.Generator): +268 LOCKING_READS_SUPPORTED = True +269 PARAMETER_TOKEN = "$" +270 +271 TYPE_MAPPING = { +272 **generator.Generator.TYPE_MAPPING, # type: ignore +273 exp.DataType.Type.TINYINT: "SMALLINT", +274 exp.DataType.Type.FLOAT: "REAL", +275 exp.DataType.Type.DOUBLE: "DOUBLE PRECISION", +276 exp.DataType.Type.BINARY: "BYTEA", +277 exp.DataType.Type.VARBINARY: "BYTEA", +278 exp.DataType.Type.DATETIME: "TIMESTAMP", +279 } +280 +281 TRANSFORMS = { +282 **generator.Generator.TRANSFORMS, # type: ignore +283 exp.BitwiseXor: lambda self, e: self.binary(e, "#"), +284 exp.ColumnDef: preprocess( +285 [ +286 _auto_increment_to_serial, +287 _serial_to_generated, +288 ], +289 delegate("columndef_sql"), +290 ), +291 exp.JSONExtract: arrow_json_extract_sql, +292 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +293 exp.JSONBExtract: lambda self, e: self.binary(e, "#>"), +294 exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"), +295 exp.JSONBContains: lambda self, e: self.binary(e, "?"), +296 exp.Pow: lambda self, e: self.binary(e, "^"), +297 exp.CurrentDate: no_paren_current_date_sql, +298 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +299 exp.DateAdd: _date_add_sql("+"), +300 exp.DateSub: _date_add_sql("-"), +301 exp.DateDiff: _date_diff_sql, +302 exp.LogicalOr: rename_func("BOOL_OR"), +303 exp.RegexpLike: lambda self, e: self.binary(e, "~"), +304 exp.RegexpILike: lambda self, e: self.binary(e, "~*"), +305 exp.StrPosition: str_position_sql, +306 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +307 exp.Substring: _substring_sql, +308 exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)", +309 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})", +310 exp.TableSample: no_tablesample_sql, +311 exp.Trim: trim_sql, +312 exp.TryCast: no_trycast_sql, +313 exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})", +314 exp.DataType: _datatype_sql, +315 exp.GroupConcat: _string_agg_sql, +316 exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})" +317 if isinstance(seq_get(e.expressions, 0), exp.Select) +318 else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]", +319 } +320 +321 PROPERTIES_LOCATION = { +322 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +323 exp.TransientProperty: exp.Properties.Location.UNSUPPORTED, +324 }
    @@ -618,27 +614,25 @@ 223 "BEGIN TRANSACTION": TokenType.BEGIN, 224 "BIGSERIAL": TokenType.BIGSERIAL, 225 "CHARACTER VARYING": TokenType.VARCHAR, -226 "COMMENT ON": TokenType.COMMAND, -227 "DECLARE": TokenType.COMMAND, -228 "DO": TokenType.COMMAND, -229 "GRANT": TokenType.COMMAND, -230 "HSTORE": TokenType.HSTORE, -231 "JSONB": TokenType.JSONB, -232 "REFRESH": TokenType.COMMAND, -233 "REINDEX": TokenType.COMMAND, -234 "RESET": TokenType.COMMAND, -235 "REVOKE": TokenType.COMMAND, -236 "SERIAL": TokenType.SERIAL, -237 "SMALLSERIAL": TokenType.SMALLSERIAL, -238 "TEMP": TokenType.TEMPORARY, -239 "UUID": TokenType.UUID, -240 "CSTRING": TokenType.PSEUDO_TYPE, -241 } -242 -243 SINGLE_TOKENS = { -244 **tokens.Tokenizer.SINGLE_TOKENS, -245 "$": TokenType.PARAMETER, -246 } +226 "DECLARE": TokenType.COMMAND, +227 "DO": TokenType.COMMAND, +228 "HSTORE": TokenType.HSTORE, +229 "JSONB": TokenType.JSONB, +230 "REFRESH": TokenType.COMMAND, +231 "REINDEX": TokenType.COMMAND, +232 "RESET": TokenType.COMMAND, +233 "REVOKE": TokenType.COMMAND, +234 "SERIAL": TokenType.SERIAL, +235 "SMALLSERIAL": TokenType.SMALLSERIAL, +236 "TEMP": TokenType.TEMPORARY, +237 "UUID": TokenType.UUID, +238 "CSTRING": TokenType.PSEUDO_TYPE, +239 } +240 +241 SINGLE_TOKENS = { +242 **tokens.Tokenizer.SINGLE_TOKENS, +243 "$": TokenType.PARAMETER, +244 }
    @@ -666,26 +660,26 @@ -
    248    class Parser(parser.Parser):
    -249        STRICT_CAST = False
    -250
    -251        FUNCTIONS = {
    -252            **parser.Parser.FUNCTIONS,  # type: ignore
    -253            "NOW": exp.CurrentTimestamp.from_arg_list,
    -254            "TO_TIMESTAMP": _to_timestamp,
    -255            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
    -256            "GENERATE_SERIES": _generate_series,
    -257        }
    -258
    -259        BITWISE = {
    -260            **parser.Parser.BITWISE,  # type: ignore
    -261            TokenType.HASH: exp.BitwiseXor,
    -262        }
    -263
    -264        FACTOR = {
    -265            **parser.Parser.FACTOR,  # type: ignore
    -266            TokenType.CARET: exp.Pow,
    -267        }
    +            
    246    class Parser(parser.Parser):
    +247        STRICT_CAST = False
    +248
    +249        FUNCTIONS = {
    +250            **parser.Parser.FUNCTIONS,  # type: ignore
    +251            "NOW": exp.CurrentTimestamp.from_arg_list,
    +252            "TO_TIMESTAMP": _to_timestamp,
    +253            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
    +254            "GENERATE_SERIES": _generate_series,
    +255        }
    +256
    +257        BITWISE = {
    +258            **parser.Parser.BITWISE,  # type: ignore
    +259            TokenType.HASH: exp.BitwiseXor,
    +260        }
    +261
    +262        FACTOR = {
    +263            **parser.Parser.FACTOR,  # type: ignore
    +264            TokenType.CARET: exp.Pow,
    +265        }
     
    @@ -742,64 +736,64 @@ Default: "nulls_are_small"
    -
    269    class Generator(generator.Generator):
    -270        LOCKING_READS_SUPPORTED = True
    -271        PARAMETER_TOKEN = "$"
    -272
    -273        TYPE_MAPPING = {
    -274            **generator.Generator.TYPE_MAPPING,  # type: ignore
    -275            exp.DataType.Type.TINYINT: "SMALLINT",
    -276            exp.DataType.Type.FLOAT: "REAL",
    -277            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
    -278            exp.DataType.Type.BINARY: "BYTEA",
    -279            exp.DataType.Type.VARBINARY: "BYTEA",
    -280            exp.DataType.Type.DATETIME: "TIMESTAMP",
    -281        }
    -282
    -283        TRANSFORMS = {
    -284            **generator.Generator.TRANSFORMS,  # type: ignore
    -285            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
    -286            exp.ColumnDef: preprocess(
    -287                [
    -288                    _auto_increment_to_serial,
    -289                    _serial_to_generated,
    -290                ],
    -291                delegate("columndef_sql"),
    -292            ),
    -293            exp.JSONExtract: arrow_json_extract_sql,
    -294            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
    -295            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
    -296            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
    -297            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
    -298            exp.Pow: lambda self, e: self.binary(e, "^"),
    -299            exp.CurrentDate: no_paren_current_date_sql,
    -300            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
    -301            exp.DateAdd: _date_add_sql("+"),
    -302            exp.DateSub: _date_add_sql("-"),
    -303            exp.DateDiff: _date_diff_sql,
    -304            exp.LogicalOr: rename_func("BOOL_OR"),
    -305            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
    -306            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
    -307            exp.StrPosition: str_position_sql,
    -308            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    -309            exp.Substring: _substring_sql,
    -310            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
    -311            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
    -312            exp.TableSample: no_tablesample_sql,
    -313            exp.Trim: trim_sql,
    -314            exp.TryCast: no_trycast_sql,
    -315            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
    -316            exp.DataType: _datatype_sql,
    -317            exp.GroupConcat: _string_agg_sql,
    -318            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
    -319            if isinstance(seq_get(e.expressions, 0), exp.Select)
    -320            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
    -321        }
    -322
    -323        PROPERTIES_LOCATION = {
    -324            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    -325            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
    -326        }
    +            
    267    class Generator(generator.Generator):
    +268        LOCKING_READS_SUPPORTED = True
    +269        PARAMETER_TOKEN = "$"
    +270
    +271        TYPE_MAPPING = {
    +272            **generator.Generator.TYPE_MAPPING,  # type: ignore
    +273            exp.DataType.Type.TINYINT: "SMALLINT",
    +274            exp.DataType.Type.FLOAT: "REAL",
    +275            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
    +276            exp.DataType.Type.BINARY: "BYTEA",
    +277            exp.DataType.Type.VARBINARY: "BYTEA",
    +278            exp.DataType.Type.DATETIME: "TIMESTAMP",
    +279        }
    +280
    +281        TRANSFORMS = {
    +282            **generator.Generator.TRANSFORMS,  # type: ignore
    +283            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
    +284            exp.ColumnDef: preprocess(
    +285                [
    +286                    _auto_increment_to_serial,
    +287                    _serial_to_generated,
    +288                ],
    +289                delegate("columndef_sql"),
    +290            ),
    +291            exp.JSONExtract: arrow_json_extract_sql,
    +292            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
    +293            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
    +294            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
    +295            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
    +296            exp.Pow: lambda self, e: self.binary(e, "^"),
    +297            exp.CurrentDate: no_paren_current_date_sql,
    +298            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
    +299            exp.DateAdd: _date_add_sql("+"),
    +300            exp.DateSub: _date_add_sql("-"),
    +301            exp.DateDiff: _date_diff_sql,
    +302            exp.LogicalOr: rename_func("BOOL_OR"),
    +303            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
    +304            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
    +305            exp.StrPosition: str_position_sql,
    +306            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +307            exp.Substring: _substring_sql,
    +308            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
    +309            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
    +310            exp.TableSample: no_tablesample_sql,
    +311            exp.Trim: trim_sql,
    +312            exp.TryCast: no_trycast_sql,
    +313            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
    +314            exp.DataType: _datatype_sql,
    +315            exp.GroupConcat: _string_agg_sql,
    +316            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
    +317            if isinstance(seq_get(e.expressions, 0), exp.Select)
    +318            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
    +319        }
    +320
    +321        PROPERTIES_LOCATION = {
    +322            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    +323            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
    +324        }
     
    @@ -1006,6 +1000,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -1020,6 +1015,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/presto.html b/docs/sqlglot/dialects/presto.html index 3906711..540dd23 100644 --- a/docs/sqlglot/dialects/presto.html +++ b/docs/sqlglot/dialects/presto.html @@ -992,6 +992,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    commit_sql
    rollback_sql
    altercolumn_sql
    @@ -1005,6 +1006,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/redshift.html b/docs/sqlglot/dialects/redshift.html index 8679493..e6c68fc 100644 --- a/docs/sqlglot/dialects/redshift.html +++ b/docs/sqlglot/dialects/redshift.html @@ -935,6 +935,7 @@ without precision we convert it to VARCHAR(max) and if it does have
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -948,6 +949,7 @@ without precision we convert it to VARCHAR(max) and if it does have
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/snowflake.html b/docs/sqlglot/dialects/snowflake.html index cfca8e8..0149a5f 100644 --- a/docs/sqlglot/dialects/snowflake.html +++ b/docs/sqlglot/dialects/snowflake.html @@ -63,6 +63,9 @@
  • values_sql
  • +
  • + settag_sql +
  • select_sql
  • @@ -103,341 +106,377 @@
      1from __future__ import annotations
       2
    -  3from sqlglot import exp, generator, parser, tokens
    -  4from sqlglot.dialects.dialect import (
    -  5    Dialect,
    -  6    datestrtodate_sql,
    -  7    format_time_lambda,
    -  8    inline_array_sql,
    -  9    rename_func,
    - 10    timestrtotime_sql,
    - 11    ts_or_ds_to_date_sql,
    - 12    var_map_sql,
    - 13)
    - 14from sqlglot.expressions import Literal
    - 15from sqlglot.helper import flatten, seq_get
    - 16from sqlglot.tokens import TokenType
    - 17
    - 18
    - 19def _check_int(s):
    - 20    if s[0] in ("-", "+"):
    - 21        return s[1:].isdigit()
    - 22    return s.isdigit()
    - 23
    - 24
    - 25# from https://docs.snowflake.com/en/sql-reference/functions/to_timestamp.html
    - 26def _snowflake_to_timestamp(args):
    - 27    if len(args) == 2:
    - 28        first_arg, second_arg = args
    - 29        if second_arg.is_string:
    - 30            # case: <string_expr> [ , <format> ]
    - 31            return format_time_lambda(exp.StrToTime, "snowflake")(args)
    - 32
    - 33        # case: <numeric_expr> [ , <scale> ]
    - 34        if second_arg.name not in ["0", "3", "9"]:
    - 35            raise ValueError(
    - 36                f"Scale for snowflake numeric timestamp is {second_arg}, but should be 0, 3, or 9"
    - 37            )
    - 38
    - 39        if second_arg.name == "0":
    - 40            timescale = exp.UnixToTime.SECONDS
    - 41        elif second_arg.name == "3":
    - 42            timescale = exp.UnixToTime.MILLIS
    - 43        elif second_arg.name == "9":
    - 44            timescale = exp.UnixToTime.MICROS
    - 45
    - 46        return exp.UnixToTime(this=first_arg, scale=timescale)
    +  3import typing as t
    +  4
    +  5from sqlglot import exp, generator, parser, tokens
    +  6from sqlglot.dialects.dialect import (
    +  7    Dialect,
    +  8    datestrtodate_sql,
    +  9    format_time_lambda,
    + 10    inline_array_sql,
    + 11    rename_func,
    + 12    timestrtotime_sql,
    + 13    ts_or_ds_to_date_sql,
    + 14    var_map_sql,
    + 15)
    + 16from sqlglot.expressions import Literal
    + 17from sqlglot.helper import flatten, seq_get
    + 18from sqlglot.tokens import TokenType
    + 19
    + 20
    + 21def _check_int(s):
    + 22    if s[0] in ("-", "+"):
    + 23        return s[1:].isdigit()
    + 24    return s.isdigit()
    + 25
    + 26
    + 27# from https://docs.snowflake.com/en/sql-reference/functions/to_timestamp.html
    + 28def _snowflake_to_timestamp(args):
    + 29    if len(args) == 2:
    + 30        first_arg, second_arg = args
    + 31        if second_arg.is_string:
    + 32            # case: <string_expr> [ , <format> ]
    + 33            return format_time_lambda(exp.StrToTime, "snowflake")(args)
    + 34
    + 35        # case: <numeric_expr> [ , <scale> ]
    + 36        if second_arg.name not in ["0", "3", "9"]:
    + 37            raise ValueError(
    + 38                f"Scale for snowflake numeric timestamp is {second_arg}, but should be 0, 3, or 9"
    + 39            )
    + 40
    + 41        if second_arg.name == "0":
    + 42            timescale = exp.UnixToTime.SECONDS
    + 43        elif second_arg.name == "3":
    + 44            timescale = exp.UnixToTime.MILLIS
    + 45        elif second_arg.name == "9":
    + 46            timescale = exp.UnixToTime.MICROS
      47
    - 48    first_arg = seq_get(args, 0)
    - 49    if not isinstance(first_arg, Literal):
    - 50        # case: <variant_expr>
    - 51        return format_time_lambda(exp.StrToTime, "snowflake", default=True)(args)
    - 52
    - 53    if first_arg.is_string:
    - 54        if _check_int(first_arg.this):
    - 55            # case: <integer>
    - 56            return exp.UnixToTime.from_arg_list(args)
    - 57
    - 58        # case: <date_expr>
    - 59        return format_time_lambda(exp.StrToTime, "snowflake", default=True)(args)
    - 60
    - 61    # case: <numeric_expr>
    - 62    return exp.UnixToTime.from_arg_list(args)
    - 63
    - 64
    - 65def _unix_to_time_sql(self, expression):
    - 66    scale = expression.args.get("scale")
    - 67    timestamp = self.sql(expression, "this")
    - 68    if scale in [None, exp.UnixToTime.SECONDS]:
    - 69        return f"TO_TIMESTAMP({timestamp})"
    - 70    if scale == exp.UnixToTime.MILLIS:
    - 71        return f"TO_TIMESTAMP({timestamp}, 3)"
    - 72    if scale == exp.UnixToTime.MICROS:
    - 73        return f"TO_TIMESTAMP({timestamp}, 9)"
    - 74
    - 75    raise ValueError("Improper scale for timestamp")
    + 48        return exp.UnixToTime(this=first_arg, scale=timescale)
    + 49
    + 50    first_arg = seq_get(args, 0)
    + 51    if not isinstance(first_arg, Literal):
    + 52        # case: <variant_expr>
    + 53        return format_time_lambda(exp.StrToTime, "snowflake", default=True)(args)
    + 54
    + 55    if first_arg.is_string:
    + 56        if _check_int(first_arg.this):
    + 57            # case: <integer>
    + 58            return exp.UnixToTime.from_arg_list(args)
    + 59
    + 60        # case: <date_expr>
    + 61        return format_time_lambda(exp.StrToTime, "snowflake", default=True)(args)
    + 62
    + 63    # case: <numeric_expr>
    + 64    return exp.UnixToTime.from_arg_list(args)
    + 65
    + 66
    + 67def _unix_to_time_sql(self, expression):
    + 68    scale = expression.args.get("scale")
    + 69    timestamp = self.sql(expression, "this")
    + 70    if scale in [None, exp.UnixToTime.SECONDS]:
    + 71        return f"TO_TIMESTAMP({timestamp})"
    + 72    if scale == exp.UnixToTime.MILLIS:
    + 73        return f"TO_TIMESTAMP({timestamp}, 3)"
    + 74    if scale == exp.UnixToTime.MICROS:
    + 75        return f"TO_TIMESTAMP({timestamp}, 9)"
      76
    - 77
    - 78# https://docs.snowflake.com/en/sql-reference/functions/date_part.html
    - 79# https://docs.snowflake.com/en/sql-reference/functions-date-time.html#label-supported-date-time-parts
    - 80def _parse_date_part(self):
    - 81    this = self._parse_var() or self._parse_type()
    - 82    self._match(TokenType.COMMA)
    - 83    expression = self._parse_bitwise()
    - 84
    - 85    name = this.name.upper()
    - 86    if name.startswith("EPOCH"):
    - 87        if name.startswith("EPOCH_MILLISECOND"):
    - 88            scale = 10**3
    - 89        elif name.startswith("EPOCH_MICROSECOND"):
    - 90            scale = 10**6
    - 91        elif name.startswith("EPOCH_NANOSECOND"):
    - 92            scale = 10**9
    - 93        else:
    - 94            scale = None
    - 95
    - 96        ts = self.expression(exp.Cast, this=expression, to=exp.DataType.build("TIMESTAMP"))
    - 97        to_unix = self.expression(exp.TimeToUnix, this=ts)
    - 98
    - 99        if scale:
    -100            to_unix = exp.Mul(this=to_unix, expression=exp.Literal.number(scale))
    -101
    -102        return to_unix
    + 77    raise ValueError("Improper scale for timestamp")
    + 78
    + 79
    + 80# https://docs.snowflake.com/en/sql-reference/functions/date_part.html
    + 81# https://docs.snowflake.com/en/sql-reference/functions-date-time.html#label-supported-date-time-parts
    + 82def _parse_date_part(self):
    + 83    this = self._parse_var() or self._parse_type()
    + 84    self._match(TokenType.COMMA)
    + 85    expression = self._parse_bitwise()
    + 86
    + 87    name = this.name.upper()
    + 88    if name.startswith("EPOCH"):
    + 89        if name.startswith("EPOCH_MILLISECOND"):
    + 90            scale = 10**3
    + 91        elif name.startswith("EPOCH_MICROSECOND"):
    + 92            scale = 10**6
    + 93        elif name.startswith("EPOCH_NANOSECOND"):
    + 94            scale = 10**9
    + 95        else:
    + 96            scale = None
    + 97
    + 98        ts = self.expression(exp.Cast, this=expression, to=exp.DataType.build("TIMESTAMP"))
    + 99        to_unix = self.expression(exp.TimeToUnix, this=ts)
    +100
    +101        if scale:
    +102            to_unix = exp.Mul(this=to_unix, expression=exp.Literal.number(scale))
     103
    -104    return self.expression(exp.Extract, this=this, expression=expression)
    +104        return to_unix
     105
    -106
    -107def _datatype_sql(self, expression):
    -108    if expression.this == exp.DataType.Type.ARRAY:
    -109        return "ARRAY"
    -110    elif expression.this == exp.DataType.Type.MAP:
    -111        return "OBJECT"
    -112    return self.datatype_sql(expression)
    -113
    -114
    -115class Snowflake(Dialect):
    -116    null_ordering = "nulls_are_large"
    -117    time_format = "'yyyy-mm-dd hh24:mi:ss'"
    -118
    -119    time_mapping = {
    -120        "YYYY": "%Y",
    -121        "yyyy": "%Y",
    -122        "YY": "%y",
    -123        "yy": "%y",
    -124        "MMMM": "%B",
    -125        "mmmm": "%B",
    -126        "MON": "%b",
    -127        "mon": "%b",
    -128        "MM": "%m",
    -129        "mm": "%m",
    -130        "DD": "%d",
    -131        "dd": "%d",
    -132        "d": "%-d",
    -133        "DY": "%w",
    -134        "dy": "%w",
    -135        "HH24": "%H",
    -136        "hh24": "%H",
    -137        "HH12": "%I",
    -138        "hh12": "%I",
    -139        "MI": "%M",
    -140        "mi": "%M",
    -141        "SS": "%S",
    -142        "ss": "%S",
    -143        "FF": "%f",
    -144        "ff": "%f",
    -145        "FF6": "%f",
    -146        "ff6": "%f",
    -147    }
    -148
    -149    class Parser(parser.Parser):
    -150        FUNCTIONS = {
    -151            **parser.Parser.FUNCTIONS,
    -152            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    -153            "DATE_TRUNC": lambda args: exp.DateTrunc(
    -154                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    -155                this=seq_get(args, 1),
    -156            ),
    -157            "IFF": exp.If.from_arg_list,
    -158            "TO_TIMESTAMP": _snowflake_to_timestamp,
    -159            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    -160            "RLIKE": exp.RegexpLike.from_arg_list,
    -161            "DECODE": exp.Matches.from_arg_list,
    -162            "OBJECT_CONSTRUCT": parser.parse_var_map,
    -163        }
    +106    return self.expression(exp.Extract, this=this, expression=expression)
    +107
    +108
    +109# https://docs.snowflake.com/en/sql-reference/functions/div0
    +110def _div0_to_if(args):
    +111    cond = exp.EQ(this=seq_get(args, 1), expression=exp.Literal.number(0))
    +112    true = exp.Literal.number(0)
    +113    false = exp.Div(this=seq_get(args, 0), expression=seq_get(args, 1))
    +114    return exp.If(this=cond, true=true, false=false)
    +115
    +116
    +117# https://docs.snowflake.com/en/sql-reference/functions/zeroifnull
    +118def _zeroifnull_to_if(args):
    +119    cond = exp.EQ(this=seq_get(args, 0), expression=exp.Null())
    +120    return exp.If(this=cond, true=exp.Literal.number(0), false=seq_get(args, 0))
    +121
    +122
    +123def _datatype_sql(self, expression):
    +124    if expression.this == exp.DataType.Type.ARRAY:
    +125        return "ARRAY"
    +126    elif expression.this == exp.DataType.Type.MAP:
    +127        return "OBJECT"
    +128    return self.datatype_sql(expression)
    +129
    +130
    +131class Snowflake(Dialect):
    +132    null_ordering = "nulls_are_large"
    +133    time_format = "'yyyy-mm-dd hh24:mi:ss'"
    +134
    +135    time_mapping = {
    +136        "YYYY": "%Y",
    +137        "yyyy": "%Y",
    +138        "YY": "%y",
    +139        "yy": "%y",
    +140        "MMMM": "%B",
    +141        "mmmm": "%B",
    +142        "MON": "%b",
    +143        "mon": "%b",
    +144        "MM": "%m",
    +145        "mm": "%m",
    +146        "DD": "%d",
    +147        "dd": "%d",
    +148        "d": "%-d",
    +149        "DY": "%w",
    +150        "dy": "%w",
    +151        "HH24": "%H",
    +152        "hh24": "%H",
    +153        "HH12": "%I",
    +154        "hh12": "%I",
    +155        "MI": "%M",
    +156        "mi": "%M",
    +157        "SS": "%S",
    +158        "ss": "%S",
    +159        "FF": "%f",
    +160        "ff": "%f",
    +161        "FF6": "%f",
    +162        "ff6": "%f",
    +163    }
     164
    -165        FUNCTION_PARSERS = {
    -166            **parser.Parser.FUNCTION_PARSERS,
    -167            "DATE_PART": _parse_date_part,
    -168        }
    -169        FUNCTION_PARSERS.pop("TRIM")
    -170
    -171        FUNC_TOKENS = {
    -172            *parser.Parser.FUNC_TOKENS,
    -173            TokenType.RLIKE,
    -174            TokenType.TABLE,
    -175        }
    -176
    -177        COLUMN_OPERATORS = {
    -178            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    -179            TokenType.COLON: lambda self, this, path: self.expression(
    -180                exp.Bracket,
    -181                this=this,
    -182                expressions=[path],
    -183            ),
    -184        }
    -185
    -186        RANGE_PARSERS = {
    -187            **parser.Parser.RANGE_PARSERS,  # type: ignore
    -188            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    -189                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    -190            ),
    -191            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    -192                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    -193            ),
    -194        }
    -195
    -196    class Tokenizer(tokens.Tokenizer):
    -197        QUOTES = ["'", "$$"]
    -198        STRING_ESCAPES = ["\\", "'"]
    -199
    -200        KEYWORDS = {
    -201            **tokens.Tokenizer.KEYWORDS,
    -202            "EXCLUDE": TokenType.EXCEPT,
    -203            "ILIKE ANY": TokenType.ILIKE_ANY,
    -204            "LIKE ANY": TokenType.LIKE_ANY,
    -205            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    -206            "PUT": TokenType.COMMAND,
    -207            "RENAME": TokenType.REPLACE,
    -208            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    -209            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    -210            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    -211            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    -212            "MINUS": TokenType.EXCEPT,
    -213            "SAMPLE": TokenType.TABLE_SAMPLE,
    +165    class Parser(parser.Parser):
    +166        FUNCTIONS = {
    +167            **parser.Parser.FUNCTIONS,
    +168            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    +169            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
    +170            "DATE_TRUNC": lambda args: exp.DateTrunc(
    +171                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    +172                this=seq_get(args, 1),
    +173            ),
    +174            "DIV0": _div0_to_if,
    +175            "IFF": exp.If.from_arg_list,
    +176            "TO_ARRAY": exp.Array.from_arg_list,
    +177            "TO_TIMESTAMP": _snowflake_to_timestamp,
    +178            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    +179            "RLIKE": exp.RegexpLike.from_arg_list,
    +180            "DECODE": exp.Matches.from_arg_list,
    +181            "OBJECT_CONSTRUCT": parser.parse_var_map,
    +182            "ZEROIFNULL": _zeroifnull_to_if,
    +183        }
    +184
    +185        FUNCTION_PARSERS = {
    +186            **parser.Parser.FUNCTION_PARSERS,
    +187            "DATE_PART": _parse_date_part,
    +188        }
    +189        FUNCTION_PARSERS.pop("TRIM")
    +190
    +191        FUNC_TOKENS = {
    +192            *parser.Parser.FUNC_TOKENS,
    +193            TokenType.RLIKE,
    +194            TokenType.TABLE,
    +195        }
    +196
    +197        COLUMN_OPERATORS = {
    +198            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    +199            TokenType.COLON: lambda self, this, path: self.expression(
    +200                exp.Bracket,
    +201                this=this,
    +202                expressions=[path],
    +203            ),
    +204        }
    +205
    +206        RANGE_PARSERS = {
    +207            **parser.Parser.RANGE_PARSERS,  # type: ignore
    +208            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    +209                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    +210            ),
    +211            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    +212                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    +213            ),
     214        }
     215
    -216        SINGLE_TOKENS = {
    -217            **tokens.Tokenizer.SINGLE_TOKENS,
    -218            "$": TokenType.PARAMETER,
    -219        }
    -220
    -221    class Generator(generator.Generator):
    -222        PARAMETER_TOKEN = "$"
    -223
    -224        TRANSFORMS = {
    -225            **generator.Generator.TRANSFORMS,  # type: ignore
    -226            exp.Array: inline_array_sql,
    -227            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    -228            exp.DateAdd: rename_func("DATEADD"),
    -229            exp.DateStrToDate: datestrtodate_sql,
    -230            exp.DataType: _datatype_sql,
    -231            exp.If: rename_func("IFF"),
    -232            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -233            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -234            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    -235            exp.Matches: rename_func("DECODE"),
    -236            exp.StrPosition: lambda self, e: self.func(
    -237                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    -238            ),
    -239            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    -240            exp.TimeStrToTime: timestrtotime_sql,
    -241            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    -242            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    -243            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    -244            exp.UnixToTime: _unix_to_time_sql,
    -245            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    -246        }
    -247
    -248        TYPE_MAPPING = {
    -249            **generator.Generator.TYPE_MAPPING,  # type: ignore
    -250            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    -251        }
    -252
    -253        STAR_MAPPING = {
    -254            "except": "EXCLUDE",
    -255            "replace": "RENAME",
    -256        }
    -257
    -258        PROPERTIES_LOCATION = {
    -259            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    -260            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    -261        }
    -262
    -263        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    -264            return self.binary(expression, "ILIKE ANY")
    -265
    -266        def likeany_sql(self, expression: exp.LikeAny) -> str:
    -267            return self.binary(expression, "LIKE ANY")
    -268
    -269        def except_op(self, expression):
    -270            if not expression.args.get("distinct", False):
    -271                self.unsupported("EXCEPT with All is not supported in Snowflake")
    -272            return super().except_op(expression)
    -273
    -274        def intersect_op(self, expression):
    -275            if not expression.args.get("distinct", False):
    -276                self.unsupported("INTERSECT with All is not supported in Snowflake")
    -277            return super().intersect_op(expression)
    -278
    -279        def values_sql(self, expression: exp.Values) -> str:
    -280            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    -281
    -282            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    -283            from adding quotes to the column by using the `identify` argument when generating the SQL.
    -284            """
    -285            alias = expression.args.get("alias")
    -286            if alias and alias.args.get("columns"):
    -287                expression = expression.transform(
    -288                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -289                    if isinstance(node, exp.Identifier)
    -290                    and isinstance(node.parent, exp.TableAlias)
    -291                    and node.arg_key == "columns"
    -292                    else node,
    -293                )
    -294                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    -295            return super().values_sql(expression)
    -296
    -297        def select_sql(self, expression: exp.Select) -> str:
    -298            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    -299            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    -300            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    -301            generating the SQL.
    -302
    -303            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    -304            expression. This might not be true in a case where the same column name can be sourced from another table that can
    -305            properly quote but should be true in most cases.
    -306            """
    -307            values_expressions = expression.find_all(exp.Values)
    -308            values_identifiers = set(
    -309                flatten(
    -310                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    -311                    for v in values_expressions
    -312                )
    -313            )
    -314            if values_identifiers:
    -315                expression = expression.transform(
    -316                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -317                    if isinstance(node, exp.Identifier) and node in values_identifiers
    -318                    else node,
    -319                )
    -320                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    -321            return super().select_sql(expression)
    -322
    -323        def describe_sql(self, expression: exp.Describe) -> str:
    -324            # Default to table if kind is unknown
    -325            kind_value = expression.args.get("kind") or "TABLE"
    -326            kind = f" {kind_value}" if kind_value else ""
    -327            this = f" {self.sql(expression, 'this')}"
    -328            return f"DESCRIBE{kind}{this}"
    -329
    -330        def generatedasidentitycolumnconstraint_sql(
    -331            self, expression: exp.GeneratedAsIdentityColumnConstraint
    -332        ) -> str:
    -333            start = expression.args.get("start")
    -334            start = f" START {start}" if start else ""
    -335            increment = expression.args.get("increment")
    -336            increment = f" INCREMENT {increment}" if increment else ""
    -337            return f"AUTOINCREMENT{start}{increment}"
    +216        ALTER_PARSERS = {
    +217            **parser.Parser.ALTER_PARSERS,  # type: ignore
    +218            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
    +219            "SET": lambda self: self._parse_alter_table_set_tag(),
    +220        }
    +221
    +222        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
    +223            self._match_text_seq("TAG")
    +224            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
    +225            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
    +226
    +227    class Tokenizer(tokens.Tokenizer):
    +228        QUOTES = ["'", "$$"]
    +229        STRING_ESCAPES = ["\\", "'"]
    +230
    +231        KEYWORDS = {
    +232            **tokens.Tokenizer.KEYWORDS,
    +233            "EXCLUDE": TokenType.EXCEPT,
    +234            "ILIKE ANY": TokenType.ILIKE_ANY,
    +235            "LIKE ANY": TokenType.LIKE_ANY,
    +236            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    +237            "PUT": TokenType.COMMAND,
    +238            "RENAME": TokenType.REPLACE,
    +239            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    +240            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    +241            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    +242            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    +243            "MINUS": TokenType.EXCEPT,
    +244            "SAMPLE": TokenType.TABLE_SAMPLE,
    +245        }
    +246
    +247        SINGLE_TOKENS = {
    +248            **tokens.Tokenizer.SINGLE_TOKENS,
    +249            "$": TokenType.PARAMETER,
    +250        }
    +251
    +252    class Generator(generator.Generator):
    +253        PARAMETER_TOKEN = "$"
    +254
    +255        TRANSFORMS = {
    +256            **generator.Generator.TRANSFORMS,  # type: ignore
    +257            exp.Array: inline_array_sql,
    +258            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    +259            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
    +260            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
    +261            exp.DateStrToDate: datestrtodate_sql,
    +262            exp.DataType: _datatype_sql,
    +263            exp.If: rename_func("IFF"),
    +264            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +265            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +266            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    +267            exp.Matches: rename_func("DECODE"),
    +268            exp.StrPosition: lambda self, e: self.func(
    +269                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    +270            ),
    +271            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +272            exp.TimeStrToTime: timestrtotime_sql,
    +273            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    +274            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    +275            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    +276            exp.UnixToTime: _unix_to_time_sql,
    +277            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    +278        }
    +279
    +280        TYPE_MAPPING = {
    +281            **generator.Generator.TYPE_MAPPING,  # type: ignore
    +282            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    +283        }
    +284
    +285        STAR_MAPPING = {
    +286            "except": "EXCLUDE",
    +287            "replace": "RENAME",
    +288        }
    +289
    +290        PROPERTIES_LOCATION = {
    +291            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    +292            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    +293        }
    +294
    +295        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    +296            return self.binary(expression, "ILIKE ANY")
    +297
    +298        def likeany_sql(self, expression: exp.LikeAny) -> str:
    +299            return self.binary(expression, "LIKE ANY")
    +300
    +301        def except_op(self, expression):
    +302            if not expression.args.get("distinct", False):
    +303                self.unsupported("EXCEPT with All is not supported in Snowflake")
    +304            return super().except_op(expression)
    +305
    +306        def intersect_op(self, expression):
    +307            if not expression.args.get("distinct", False):
    +308                self.unsupported("INTERSECT with All is not supported in Snowflake")
    +309            return super().intersect_op(expression)
    +310
    +311        def values_sql(self, expression: exp.Values) -> str:
    +312            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    +313
    +314            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    +315            from adding quotes to the column by using the `identify` argument when generating the SQL.
    +316            """
    +317            alias = expression.args.get("alias")
    +318            if alias and alias.args.get("columns"):
    +319                expression = expression.transform(
    +320                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +321                    if isinstance(node, exp.Identifier)
    +322                    and isinstance(node.parent, exp.TableAlias)
    +323                    and node.arg_key == "columns"
    +324                    else node,
    +325                )
    +326                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    +327            return super().values_sql(expression)
    +328
    +329        def settag_sql(self, expression: exp.SetTag) -> str:
    +330            action = "UNSET" if expression.args.get("unset") else "SET"
    +331            return f"{action} TAG {self.expressions(expression)}"
    +332
    +333        def select_sql(self, expression: exp.Select) -> str:
    +334            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    +335            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    +336            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    +337            generating the SQL.
    +338
    +339            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    +340            expression. This might not be true in a case where the same column name can be sourced from another table that can
    +341            properly quote but should be true in most cases.
    +342            """
    +343            values_expressions = expression.find_all(exp.Values)
    +344            values_identifiers = set(
    +345                flatten(
    +346                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    +347                    for v in values_expressions
    +348                )
    +349            )
    +350            if values_identifiers:
    +351                expression = expression.transform(
    +352                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +353                    if isinstance(node, exp.Identifier) and node in values_identifiers
    +354                    else node,
    +355                )
    +356                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    +357            return super().select_sql(expression)
    +358
    +359        def describe_sql(self, expression: exp.Describe) -> str:
    +360            # Default to table if kind is unknown
    +361            kind_value = expression.args.get("kind") or "TABLE"
    +362            kind = f" {kind_value}" if kind_value else ""
    +363            this = f" {self.sql(expression, 'this')}"
    +364            return f"DESCRIBE{kind}{this}"
    +365
    +366        def generatedasidentitycolumnconstraint_sql(
    +367            self, expression: exp.GeneratedAsIdentityColumnConstraint
    +368        ) -> str:
    +369            start = expression.args.get("start")
    +370            start = f" START {start}" if start else ""
    +371            increment = expression.args.get("increment")
    +372            increment = f" INCREMENT {increment}" if increment else ""
    +373            return f"AUTOINCREMENT{start}{increment}"
     
    @@ -453,229 +492,249 @@
    -
    116class Snowflake(Dialect):
    -117    null_ordering = "nulls_are_large"
    -118    time_format = "'yyyy-mm-dd hh24:mi:ss'"
    -119
    -120    time_mapping = {
    -121        "YYYY": "%Y",
    -122        "yyyy": "%Y",
    -123        "YY": "%y",
    -124        "yy": "%y",
    -125        "MMMM": "%B",
    -126        "mmmm": "%B",
    -127        "MON": "%b",
    -128        "mon": "%b",
    -129        "MM": "%m",
    -130        "mm": "%m",
    -131        "DD": "%d",
    -132        "dd": "%d",
    -133        "d": "%-d",
    -134        "DY": "%w",
    -135        "dy": "%w",
    -136        "HH24": "%H",
    -137        "hh24": "%H",
    -138        "HH12": "%I",
    -139        "hh12": "%I",
    -140        "MI": "%M",
    -141        "mi": "%M",
    -142        "SS": "%S",
    -143        "ss": "%S",
    -144        "FF": "%f",
    -145        "ff": "%f",
    -146        "FF6": "%f",
    -147        "ff6": "%f",
    -148    }
    -149
    -150    class Parser(parser.Parser):
    -151        FUNCTIONS = {
    -152            **parser.Parser.FUNCTIONS,
    -153            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    -154            "DATE_TRUNC": lambda args: exp.DateTrunc(
    -155                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    -156                this=seq_get(args, 1),
    -157            ),
    -158            "IFF": exp.If.from_arg_list,
    -159            "TO_TIMESTAMP": _snowflake_to_timestamp,
    -160            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    -161            "RLIKE": exp.RegexpLike.from_arg_list,
    -162            "DECODE": exp.Matches.from_arg_list,
    -163            "OBJECT_CONSTRUCT": parser.parse_var_map,
    -164        }
    +            
    132class Snowflake(Dialect):
    +133    null_ordering = "nulls_are_large"
    +134    time_format = "'yyyy-mm-dd hh24:mi:ss'"
    +135
    +136    time_mapping = {
    +137        "YYYY": "%Y",
    +138        "yyyy": "%Y",
    +139        "YY": "%y",
    +140        "yy": "%y",
    +141        "MMMM": "%B",
    +142        "mmmm": "%B",
    +143        "MON": "%b",
    +144        "mon": "%b",
    +145        "MM": "%m",
    +146        "mm": "%m",
    +147        "DD": "%d",
    +148        "dd": "%d",
    +149        "d": "%-d",
    +150        "DY": "%w",
    +151        "dy": "%w",
    +152        "HH24": "%H",
    +153        "hh24": "%H",
    +154        "HH12": "%I",
    +155        "hh12": "%I",
    +156        "MI": "%M",
    +157        "mi": "%M",
    +158        "SS": "%S",
    +159        "ss": "%S",
    +160        "FF": "%f",
    +161        "ff": "%f",
    +162        "FF6": "%f",
    +163        "ff6": "%f",
    +164    }
     165
    -166        FUNCTION_PARSERS = {
    -167            **parser.Parser.FUNCTION_PARSERS,
    -168            "DATE_PART": _parse_date_part,
    -169        }
    -170        FUNCTION_PARSERS.pop("TRIM")
    -171
    -172        FUNC_TOKENS = {
    -173            *parser.Parser.FUNC_TOKENS,
    -174            TokenType.RLIKE,
    -175            TokenType.TABLE,
    -176        }
    -177
    -178        COLUMN_OPERATORS = {
    -179            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    -180            TokenType.COLON: lambda self, this, path: self.expression(
    -181                exp.Bracket,
    -182                this=this,
    -183                expressions=[path],
    -184            ),
    -185        }
    -186
    -187        RANGE_PARSERS = {
    -188            **parser.Parser.RANGE_PARSERS,  # type: ignore
    -189            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    -190                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    -191            ),
    -192            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    -193                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    -194            ),
    -195        }
    -196
    -197    class Tokenizer(tokens.Tokenizer):
    -198        QUOTES = ["'", "$$"]
    -199        STRING_ESCAPES = ["\\", "'"]
    -200
    -201        KEYWORDS = {
    -202            **tokens.Tokenizer.KEYWORDS,
    -203            "EXCLUDE": TokenType.EXCEPT,
    -204            "ILIKE ANY": TokenType.ILIKE_ANY,
    -205            "LIKE ANY": TokenType.LIKE_ANY,
    -206            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    -207            "PUT": TokenType.COMMAND,
    -208            "RENAME": TokenType.REPLACE,
    -209            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    -210            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    -211            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    -212            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    -213            "MINUS": TokenType.EXCEPT,
    -214            "SAMPLE": TokenType.TABLE_SAMPLE,
    +166    class Parser(parser.Parser):
    +167        FUNCTIONS = {
    +168            **parser.Parser.FUNCTIONS,
    +169            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    +170            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
    +171            "DATE_TRUNC": lambda args: exp.DateTrunc(
    +172                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    +173                this=seq_get(args, 1),
    +174            ),
    +175            "DIV0": _div0_to_if,
    +176            "IFF": exp.If.from_arg_list,
    +177            "TO_ARRAY": exp.Array.from_arg_list,
    +178            "TO_TIMESTAMP": _snowflake_to_timestamp,
    +179            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    +180            "RLIKE": exp.RegexpLike.from_arg_list,
    +181            "DECODE": exp.Matches.from_arg_list,
    +182            "OBJECT_CONSTRUCT": parser.parse_var_map,
    +183            "ZEROIFNULL": _zeroifnull_to_if,
    +184        }
    +185
    +186        FUNCTION_PARSERS = {
    +187            **parser.Parser.FUNCTION_PARSERS,
    +188            "DATE_PART": _parse_date_part,
    +189        }
    +190        FUNCTION_PARSERS.pop("TRIM")
    +191
    +192        FUNC_TOKENS = {
    +193            *parser.Parser.FUNC_TOKENS,
    +194            TokenType.RLIKE,
    +195            TokenType.TABLE,
    +196        }
    +197
    +198        COLUMN_OPERATORS = {
    +199            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    +200            TokenType.COLON: lambda self, this, path: self.expression(
    +201                exp.Bracket,
    +202                this=this,
    +203                expressions=[path],
    +204            ),
    +205        }
    +206
    +207        RANGE_PARSERS = {
    +208            **parser.Parser.RANGE_PARSERS,  # type: ignore
    +209            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    +210                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    +211            ),
    +212            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    +213                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    +214            ),
     215        }
     216
    -217        SINGLE_TOKENS = {
    -218            **tokens.Tokenizer.SINGLE_TOKENS,
    -219            "$": TokenType.PARAMETER,
    -220        }
    -221
    -222    class Generator(generator.Generator):
    -223        PARAMETER_TOKEN = "$"
    -224
    -225        TRANSFORMS = {
    -226            **generator.Generator.TRANSFORMS,  # type: ignore
    -227            exp.Array: inline_array_sql,
    -228            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    -229            exp.DateAdd: rename_func("DATEADD"),
    -230            exp.DateStrToDate: datestrtodate_sql,
    -231            exp.DataType: _datatype_sql,
    -232            exp.If: rename_func("IFF"),
    -233            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -234            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -235            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    -236            exp.Matches: rename_func("DECODE"),
    -237            exp.StrPosition: lambda self, e: self.func(
    -238                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    -239            ),
    -240            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    -241            exp.TimeStrToTime: timestrtotime_sql,
    -242            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    -243            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    -244            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    -245            exp.UnixToTime: _unix_to_time_sql,
    -246            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    -247        }
    -248
    -249        TYPE_MAPPING = {
    -250            **generator.Generator.TYPE_MAPPING,  # type: ignore
    -251            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    -252        }
    -253
    -254        STAR_MAPPING = {
    -255            "except": "EXCLUDE",
    -256            "replace": "RENAME",
    -257        }
    -258
    -259        PROPERTIES_LOCATION = {
    -260            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    -261            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    -262        }
    -263
    -264        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    -265            return self.binary(expression, "ILIKE ANY")
    -266
    -267        def likeany_sql(self, expression: exp.LikeAny) -> str:
    -268            return self.binary(expression, "LIKE ANY")
    -269
    -270        def except_op(self, expression):
    -271            if not expression.args.get("distinct", False):
    -272                self.unsupported("EXCEPT with All is not supported in Snowflake")
    -273            return super().except_op(expression)
    -274
    -275        def intersect_op(self, expression):
    -276            if not expression.args.get("distinct", False):
    -277                self.unsupported("INTERSECT with All is not supported in Snowflake")
    -278            return super().intersect_op(expression)
    -279
    -280        def values_sql(self, expression: exp.Values) -> str:
    -281            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    -282
    -283            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    -284            from adding quotes to the column by using the `identify` argument when generating the SQL.
    -285            """
    -286            alias = expression.args.get("alias")
    -287            if alias and alias.args.get("columns"):
    -288                expression = expression.transform(
    -289                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -290                    if isinstance(node, exp.Identifier)
    -291                    and isinstance(node.parent, exp.TableAlias)
    -292                    and node.arg_key == "columns"
    -293                    else node,
    -294                )
    -295                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    -296            return super().values_sql(expression)
    -297
    -298        def select_sql(self, expression: exp.Select) -> str:
    -299            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    -300            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    -301            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    -302            generating the SQL.
    -303
    -304            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    -305            expression. This might not be true in a case where the same column name can be sourced from another table that can
    -306            properly quote but should be true in most cases.
    -307            """
    -308            values_expressions = expression.find_all(exp.Values)
    -309            values_identifiers = set(
    -310                flatten(
    -311                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    -312                    for v in values_expressions
    -313                )
    -314            )
    -315            if values_identifiers:
    -316                expression = expression.transform(
    -317                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -318                    if isinstance(node, exp.Identifier) and node in values_identifiers
    -319                    else node,
    -320                )
    -321                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    -322            return super().select_sql(expression)
    -323
    -324        def describe_sql(self, expression: exp.Describe) -> str:
    -325            # Default to table if kind is unknown
    -326            kind_value = expression.args.get("kind") or "TABLE"
    -327            kind = f" {kind_value}" if kind_value else ""
    -328            this = f" {self.sql(expression, 'this')}"
    -329            return f"DESCRIBE{kind}{this}"
    -330
    -331        def generatedasidentitycolumnconstraint_sql(
    -332            self, expression: exp.GeneratedAsIdentityColumnConstraint
    -333        ) -> str:
    -334            start = expression.args.get("start")
    -335            start = f" START {start}" if start else ""
    -336            increment = expression.args.get("increment")
    -337            increment = f" INCREMENT {increment}" if increment else ""
    -338            return f"AUTOINCREMENT{start}{increment}"
    +217        ALTER_PARSERS = {
    +218            **parser.Parser.ALTER_PARSERS,  # type: ignore
    +219            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
    +220            "SET": lambda self: self._parse_alter_table_set_tag(),
    +221        }
    +222
    +223        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
    +224            self._match_text_seq("TAG")
    +225            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
    +226            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
    +227
    +228    class Tokenizer(tokens.Tokenizer):
    +229        QUOTES = ["'", "$$"]
    +230        STRING_ESCAPES = ["\\", "'"]
    +231
    +232        KEYWORDS = {
    +233            **tokens.Tokenizer.KEYWORDS,
    +234            "EXCLUDE": TokenType.EXCEPT,
    +235            "ILIKE ANY": TokenType.ILIKE_ANY,
    +236            "LIKE ANY": TokenType.LIKE_ANY,
    +237            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    +238            "PUT": TokenType.COMMAND,
    +239            "RENAME": TokenType.REPLACE,
    +240            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    +241            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    +242            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    +243            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    +244            "MINUS": TokenType.EXCEPT,
    +245            "SAMPLE": TokenType.TABLE_SAMPLE,
    +246        }
    +247
    +248        SINGLE_TOKENS = {
    +249            **tokens.Tokenizer.SINGLE_TOKENS,
    +250            "$": TokenType.PARAMETER,
    +251        }
    +252
    +253    class Generator(generator.Generator):
    +254        PARAMETER_TOKEN = "$"
    +255
    +256        TRANSFORMS = {
    +257            **generator.Generator.TRANSFORMS,  # type: ignore
    +258            exp.Array: inline_array_sql,
    +259            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    +260            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
    +261            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
    +262            exp.DateStrToDate: datestrtodate_sql,
    +263            exp.DataType: _datatype_sql,
    +264            exp.If: rename_func("IFF"),
    +265            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +266            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +267            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    +268            exp.Matches: rename_func("DECODE"),
    +269            exp.StrPosition: lambda self, e: self.func(
    +270                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    +271            ),
    +272            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +273            exp.TimeStrToTime: timestrtotime_sql,
    +274            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    +275            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    +276            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    +277            exp.UnixToTime: _unix_to_time_sql,
    +278            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    +279        }
    +280
    +281        TYPE_MAPPING = {
    +282            **generator.Generator.TYPE_MAPPING,  # type: ignore
    +283            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    +284        }
    +285
    +286        STAR_MAPPING = {
    +287            "except": "EXCLUDE",
    +288            "replace": "RENAME",
    +289        }
    +290
    +291        PROPERTIES_LOCATION = {
    +292            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    +293            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    +294        }
    +295
    +296        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    +297            return self.binary(expression, "ILIKE ANY")
    +298
    +299        def likeany_sql(self, expression: exp.LikeAny) -> str:
    +300            return self.binary(expression, "LIKE ANY")
    +301
    +302        def except_op(self, expression):
    +303            if not expression.args.get("distinct", False):
    +304                self.unsupported("EXCEPT with All is not supported in Snowflake")
    +305            return super().except_op(expression)
    +306
    +307        def intersect_op(self, expression):
    +308            if not expression.args.get("distinct", False):
    +309                self.unsupported("INTERSECT with All is not supported in Snowflake")
    +310            return super().intersect_op(expression)
    +311
    +312        def values_sql(self, expression: exp.Values) -> str:
    +313            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    +314
    +315            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    +316            from adding quotes to the column by using the `identify` argument when generating the SQL.
    +317            """
    +318            alias = expression.args.get("alias")
    +319            if alias and alias.args.get("columns"):
    +320                expression = expression.transform(
    +321                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +322                    if isinstance(node, exp.Identifier)
    +323                    and isinstance(node.parent, exp.TableAlias)
    +324                    and node.arg_key == "columns"
    +325                    else node,
    +326                )
    +327                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    +328            return super().values_sql(expression)
    +329
    +330        def settag_sql(self, expression: exp.SetTag) -> str:
    +331            action = "UNSET" if expression.args.get("unset") else "SET"
    +332            return f"{action} TAG {self.expressions(expression)}"
    +333
    +334        def select_sql(self, expression: exp.Select) -> str:
    +335            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    +336            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    +337            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    +338            generating the SQL.
    +339
    +340            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    +341            expression. This might not be true in a case where the same column name can be sourced from another table that can
    +342            properly quote but should be true in most cases.
    +343            """
    +344            values_expressions = expression.find_all(exp.Values)
    +345            values_identifiers = set(
    +346                flatten(
    +347                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    +348                    for v in values_expressions
    +349                )
    +350            )
    +351            if values_identifiers:
    +352                expression = expression.transform(
    +353                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +354                    if isinstance(node, exp.Identifier) and node in values_identifiers
    +355                    else node,
    +356                )
    +357                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    +358            return super().select_sql(expression)
    +359
    +360        def describe_sql(self, expression: exp.Describe) -> str:
    +361            # Default to table if kind is unknown
    +362            kind_value = expression.args.get("kind") or "TABLE"
    +363            kind = f" {kind_value}" if kind_value else ""
    +364            this = f" {self.sql(expression, 'this')}"
    +365            return f"DESCRIBE{kind}{this}"
    +366
    +367        def generatedasidentitycolumnconstraint_sql(
    +368            self, expression: exp.GeneratedAsIdentityColumnConstraint
    +369        ) -> str:
    +370            start = expression.args.get("start")
    +371            start = f" START {start}" if start else ""
    +372            increment = expression.args.get("increment")
    +373            increment = f" INCREMENT {increment}" if increment else ""
    +374            return f"AUTOINCREMENT{start}{increment}"
     
    @@ -709,52 +768,67 @@
    -
    150    class Parser(parser.Parser):
    -151        FUNCTIONS = {
    -152            **parser.Parser.FUNCTIONS,
    -153            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    -154            "DATE_TRUNC": lambda args: exp.DateTrunc(
    -155                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    -156                this=seq_get(args, 1),
    -157            ),
    -158            "IFF": exp.If.from_arg_list,
    -159            "TO_TIMESTAMP": _snowflake_to_timestamp,
    -160            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    -161            "RLIKE": exp.RegexpLike.from_arg_list,
    -162            "DECODE": exp.Matches.from_arg_list,
    -163            "OBJECT_CONSTRUCT": parser.parse_var_map,
    -164        }
    -165
    -166        FUNCTION_PARSERS = {
    -167            **parser.Parser.FUNCTION_PARSERS,
    -168            "DATE_PART": _parse_date_part,
    -169        }
    -170        FUNCTION_PARSERS.pop("TRIM")
    -171
    -172        FUNC_TOKENS = {
    -173            *parser.Parser.FUNC_TOKENS,
    -174            TokenType.RLIKE,
    -175            TokenType.TABLE,
    -176        }
    -177
    -178        COLUMN_OPERATORS = {
    -179            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    -180            TokenType.COLON: lambda self, this, path: self.expression(
    -181                exp.Bracket,
    -182                this=this,
    -183                expressions=[path],
    -184            ),
    -185        }
    -186
    -187        RANGE_PARSERS = {
    -188            **parser.Parser.RANGE_PARSERS,  # type: ignore
    -189            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    -190                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    -191            ),
    -192            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    -193                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    -194            ),
    -195        }
    +            
    166    class Parser(parser.Parser):
    +167        FUNCTIONS = {
    +168            **parser.Parser.FUNCTIONS,
    +169            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    +170            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
    +171            "DATE_TRUNC": lambda args: exp.DateTrunc(
    +172                unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
    +173                this=seq_get(args, 1),
    +174            ),
    +175            "DIV0": _div0_to_if,
    +176            "IFF": exp.If.from_arg_list,
    +177            "TO_ARRAY": exp.Array.from_arg_list,
    +178            "TO_TIMESTAMP": _snowflake_to_timestamp,
    +179            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
    +180            "RLIKE": exp.RegexpLike.from_arg_list,
    +181            "DECODE": exp.Matches.from_arg_list,
    +182            "OBJECT_CONSTRUCT": parser.parse_var_map,
    +183            "ZEROIFNULL": _zeroifnull_to_if,
    +184        }
    +185
    +186        FUNCTION_PARSERS = {
    +187            **parser.Parser.FUNCTION_PARSERS,
    +188            "DATE_PART": _parse_date_part,
    +189        }
    +190        FUNCTION_PARSERS.pop("TRIM")
    +191
    +192        FUNC_TOKENS = {
    +193            *parser.Parser.FUNC_TOKENS,
    +194            TokenType.RLIKE,
    +195            TokenType.TABLE,
    +196        }
    +197
    +198        COLUMN_OPERATORS = {
    +199            **parser.Parser.COLUMN_OPERATORS,  # type: ignore
    +200            TokenType.COLON: lambda self, this, path: self.expression(
    +201                exp.Bracket,
    +202                this=this,
    +203                expressions=[path],
    +204            ),
    +205        }
    +206
    +207        RANGE_PARSERS = {
    +208            **parser.Parser.RANGE_PARSERS,  # type: ignore
    +209            TokenType.LIKE_ANY: lambda self, this: self._parse_escape(
    +210                self.expression(exp.LikeAny, this=this, expression=self._parse_bitwise())
    +211            ),
    +212            TokenType.ILIKE_ANY: lambda self, this: self._parse_escape(
    +213                self.expression(exp.ILikeAny, this=this, expression=self._parse_bitwise())
    +214            ),
    +215        }
    +216
    +217        ALTER_PARSERS = {
    +218            **parser.Parser.ALTER_PARSERS,  # type: ignore
    +219            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
    +220            "SET": lambda self: self._parse_alter_table_set_tag(),
    +221        }
    +222
    +223        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
    +224            self._match_text_seq("TAG")
    +225            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
    +226            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
     
    @@ -811,30 +885,30 @@ Default: "nulls_are_small"
    -
    197    class Tokenizer(tokens.Tokenizer):
    -198        QUOTES = ["'", "$$"]
    -199        STRING_ESCAPES = ["\\", "'"]
    -200
    -201        KEYWORDS = {
    -202            **tokens.Tokenizer.KEYWORDS,
    -203            "EXCLUDE": TokenType.EXCEPT,
    -204            "ILIKE ANY": TokenType.ILIKE_ANY,
    -205            "LIKE ANY": TokenType.LIKE_ANY,
    -206            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    -207            "PUT": TokenType.COMMAND,
    -208            "RENAME": TokenType.REPLACE,
    -209            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    -210            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    -211            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    -212            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    -213            "MINUS": TokenType.EXCEPT,
    -214            "SAMPLE": TokenType.TABLE_SAMPLE,
    -215        }
    -216
    -217        SINGLE_TOKENS = {
    -218            **tokens.Tokenizer.SINGLE_TOKENS,
    -219            "$": TokenType.PARAMETER,
    -220        }
    +            
    228    class Tokenizer(tokens.Tokenizer):
    +229        QUOTES = ["'", "$$"]
    +230        STRING_ESCAPES = ["\\", "'"]
    +231
    +232        KEYWORDS = {
    +233            **tokens.Tokenizer.KEYWORDS,
    +234            "EXCLUDE": TokenType.EXCEPT,
    +235            "ILIKE ANY": TokenType.ILIKE_ANY,
    +236            "LIKE ANY": TokenType.LIKE_ANY,
    +237            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
    +238            "PUT": TokenType.COMMAND,
    +239            "RENAME": TokenType.REPLACE,
    +240            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
    +241            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
    +242            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
    +243            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
    +244            "MINUS": TokenType.EXCEPT,
    +245            "SAMPLE": TokenType.TABLE_SAMPLE,
    +246        }
    +247
    +248        SINGLE_TOKENS = {
    +249            **tokens.Tokenizer.SINGLE_TOKENS,
    +250            "$": TokenType.PARAMETER,
    +251        }
     
    @@ -862,123 +936,128 @@ Default: "nulls_are_small"
    -
    222    class Generator(generator.Generator):
    -223        PARAMETER_TOKEN = "$"
    -224
    -225        TRANSFORMS = {
    -226            **generator.Generator.TRANSFORMS,  # type: ignore
    -227            exp.Array: inline_array_sql,
    -228            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    -229            exp.DateAdd: rename_func("DATEADD"),
    -230            exp.DateStrToDate: datestrtodate_sql,
    -231            exp.DataType: _datatype_sql,
    -232            exp.If: rename_func("IFF"),
    -233            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -234            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    -235            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    -236            exp.Matches: rename_func("DECODE"),
    -237            exp.StrPosition: lambda self, e: self.func(
    -238                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    -239            ),
    -240            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    -241            exp.TimeStrToTime: timestrtotime_sql,
    -242            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    -243            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    -244            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    -245            exp.UnixToTime: _unix_to_time_sql,
    -246            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    -247        }
    -248
    -249        TYPE_MAPPING = {
    -250            **generator.Generator.TYPE_MAPPING,  # type: ignore
    -251            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    -252        }
    -253
    -254        STAR_MAPPING = {
    -255            "except": "EXCLUDE",
    -256            "replace": "RENAME",
    -257        }
    -258
    -259        PROPERTIES_LOCATION = {
    -260            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    -261            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    -262        }
    -263
    -264        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    -265            return self.binary(expression, "ILIKE ANY")
    -266
    -267        def likeany_sql(self, expression: exp.LikeAny) -> str:
    -268            return self.binary(expression, "LIKE ANY")
    -269
    -270        def except_op(self, expression):
    -271            if not expression.args.get("distinct", False):
    -272                self.unsupported("EXCEPT with All is not supported in Snowflake")
    -273            return super().except_op(expression)
    -274
    -275        def intersect_op(self, expression):
    -276            if not expression.args.get("distinct", False):
    -277                self.unsupported("INTERSECT with All is not supported in Snowflake")
    -278            return super().intersect_op(expression)
    -279
    -280        def values_sql(self, expression: exp.Values) -> str:
    -281            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    -282
    -283            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    -284            from adding quotes to the column by using the `identify` argument when generating the SQL.
    -285            """
    -286            alias = expression.args.get("alias")
    -287            if alias and alias.args.get("columns"):
    -288                expression = expression.transform(
    -289                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -290                    if isinstance(node, exp.Identifier)
    -291                    and isinstance(node.parent, exp.TableAlias)
    -292                    and node.arg_key == "columns"
    -293                    else node,
    -294                )
    -295                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    -296            return super().values_sql(expression)
    -297
    -298        def select_sql(self, expression: exp.Select) -> str:
    -299            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    -300            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    -301            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    -302            generating the SQL.
    -303
    -304            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    -305            expression. This might not be true in a case where the same column name can be sourced from another table that can
    -306            properly quote but should be true in most cases.
    -307            """
    -308            values_expressions = expression.find_all(exp.Values)
    -309            values_identifiers = set(
    -310                flatten(
    -311                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    -312                    for v in values_expressions
    -313                )
    -314            )
    -315            if values_identifiers:
    -316                expression = expression.transform(
    -317                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -318                    if isinstance(node, exp.Identifier) and node in values_identifiers
    -319                    else node,
    -320                )
    -321                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    -322            return super().select_sql(expression)
    -323
    -324        def describe_sql(self, expression: exp.Describe) -> str:
    -325            # Default to table if kind is unknown
    -326            kind_value = expression.args.get("kind") or "TABLE"
    -327            kind = f" {kind_value}" if kind_value else ""
    -328            this = f" {self.sql(expression, 'this')}"
    -329            return f"DESCRIBE{kind}{this}"
    -330
    -331        def generatedasidentitycolumnconstraint_sql(
    -332            self, expression: exp.GeneratedAsIdentityColumnConstraint
    -333        ) -> str:
    -334            start = expression.args.get("start")
    -335            start = f" START {start}" if start else ""
    -336            increment = expression.args.get("increment")
    -337            increment = f" INCREMENT {increment}" if increment else ""
    -338            return f"AUTOINCREMENT{start}{increment}"
    +            
    253    class Generator(generator.Generator):
    +254        PARAMETER_TOKEN = "$"
    +255
    +256        TRANSFORMS = {
    +257            **generator.Generator.TRANSFORMS,  # type: ignore
    +258            exp.Array: inline_array_sql,
    +259            exp.ArrayConcat: rename_func("ARRAY_CAT"),
    +260            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
    +261            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
    +262            exp.DateStrToDate: datestrtodate_sql,
    +263            exp.DataType: _datatype_sql,
    +264            exp.If: rename_func("IFF"),
    +265            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +266            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
    +267            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
    +268            exp.Matches: rename_func("DECODE"),
    +269            exp.StrPosition: lambda self, e: self.func(
    +270                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
    +271            ),
    +272            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +273            exp.TimeStrToTime: timestrtotime_sql,
    +274            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
    +275            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
    +276            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
    +277            exp.UnixToTime: _unix_to_time_sql,
    +278            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    +279        }
    +280
    +281        TYPE_MAPPING = {
    +282            **generator.Generator.TYPE_MAPPING,  # type: ignore
    +283            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
    +284        }
    +285
    +286        STAR_MAPPING = {
    +287            "except": "EXCLUDE",
    +288            "replace": "RENAME",
    +289        }
    +290
    +291        PROPERTIES_LOCATION = {
    +292            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    +293            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
    +294        }
    +295
    +296        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    +297            return self.binary(expression, "ILIKE ANY")
    +298
    +299        def likeany_sql(self, expression: exp.LikeAny) -> str:
    +300            return self.binary(expression, "LIKE ANY")
    +301
    +302        def except_op(self, expression):
    +303            if not expression.args.get("distinct", False):
    +304                self.unsupported("EXCEPT with All is not supported in Snowflake")
    +305            return super().except_op(expression)
    +306
    +307        def intersect_op(self, expression):
    +308            if not expression.args.get("distinct", False):
    +309                self.unsupported("INTERSECT with All is not supported in Snowflake")
    +310            return super().intersect_op(expression)
    +311
    +312        def values_sql(self, expression: exp.Values) -> str:
    +313            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    +314
    +315            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    +316            from adding quotes to the column by using the `identify` argument when generating the SQL.
    +317            """
    +318            alias = expression.args.get("alias")
    +319            if alias and alias.args.get("columns"):
    +320                expression = expression.transform(
    +321                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +322                    if isinstance(node, exp.Identifier)
    +323                    and isinstance(node.parent, exp.TableAlias)
    +324                    and node.arg_key == "columns"
    +325                    else node,
    +326                )
    +327                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    +328            return super().values_sql(expression)
    +329
    +330        def settag_sql(self, expression: exp.SetTag) -> str:
    +331            action = "UNSET" if expression.args.get("unset") else "SET"
    +332            return f"{action} TAG {self.expressions(expression)}"
    +333
    +334        def select_sql(self, expression: exp.Select) -> str:
    +335            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    +336            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    +337            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    +338            generating the SQL.
    +339
    +340            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    +341            expression. This might not be true in a case where the same column name can be sourced from another table that can
    +342            properly quote but should be true in most cases.
    +343            """
    +344            values_expressions = expression.find_all(exp.Values)
    +345            values_identifiers = set(
    +346                flatten(
    +347                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    +348                    for v in values_expressions
    +349                )
    +350            )
    +351            if values_identifiers:
    +352                expression = expression.transform(
    +353                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +354                    if isinstance(node, exp.Identifier) and node in values_identifiers
    +355                    else node,
    +356                )
    +357                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    +358            return super().select_sql(expression)
    +359
    +360        def describe_sql(self, expression: exp.Describe) -> str:
    +361            # Default to table if kind is unknown
    +362            kind_value = expression.args.get("kind") or "TABLE"
    +363            kind = f" {kind_value}" if kind_value else ""
    +364            this = f" {self.sql(expression, 'this')}"
    +365            return f"DESCRIBE{kind}{this}"
    +366
    +367        def generatedasidentitycolumnconstraint_sql(
    +368            self, expression: exp.GeneratedAsIdentityColumnConstraint
    +369        ) -> str:
    +370            start = expression.args.get("start")
    +371            start = f" START {start}" if start else ""
    +372            increment = expression.args.get("increment")
    +373            increment = f" INCREMENT {increment}" if increment else ""
    +374            return f"AUTOINCREMENT{start}{increment}"
     
    @@ -1038,8 +1117,8 @@ Default: True
    -
    264        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    -265            return self.binary(expression, "ILIKE ANY")
    +            
    296        def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
    +297            return self.binary(expression, "ILIKE ANY")
     
    @@ -1057,8 +1136,8 @@ Default: True
    -
    267        def likeany_sql(self, expression: exp.LikeAny) -> str:
    -268            return self.binary(expression, "LIKE ANY")
    +            
    299        def likeany_sql(self, expression: exp.LikeAny) -> str:
    +300            return self.binary(expression, "LIKE ANY")
     
    @@ -1076,10 +1155,10 @@ Default: True
    -
    270        def except_op(self, expression):
    -271            if not expression.args.get("distinct", False):
    -272                self.unsupported("EXCEPT with All is not supported in Snowflake")
    -273            return super().except_op(expression)
    +            
    302        def except_op(self, expression):
    +303            if not expression.args.get("distinct", False):
    +304                self.unsupported("EXCEPT with All is not supported in Snowflake")
    +305            return super().except_op(expression)
     
    @@ -1097,10 +1176,10 @@ Default: True
    -
    275        def intersect_op(self, expression):
    -276            if not expression.args.get("distinct", False):
    -277                self.unsupported("INTERSECT with All is not supported in Snowflake")
    -278            return super().intersect_op(expression)
    +            
    307        def intersect_op(self, expression):
    +308            if not expression.args.get("distinct", False):
    +309                self.unsupported("INTERSECT with All is not supported in Snowflake")
    +310            return super().intersect_op(expression)
     
    @@ -1118,23 +1197,23 @@ Default: True
    -
    280        def values_sql(self, expression: exp.Values) -> str:
    -281            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    -282
    -283            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    -284            from adding quotes to the column by using the `identify` argument when generating the SQL.
    -285            """
    -286            alias = expression.args.get("alias")
    -287            if alias and alias.args.get("columns"):
    -288                expression = expression.transform(
    -289                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -290                    if isinstance(node, exp.Identifier)
    -291                    and isinstance(node.parent, exp.TableAlias)
    -292                    and node.arg_key == "columns"
    -293                    else node,
    -294                )
    -295                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    -296            return super().values_sql(expression)
    +            
    312        def values_sql(self, expression: exp.Values) -> str:
    +313            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted.
    +314
    +315            We also want to make sure that after we find matches where we need to unquote a column that we prevent users
    +316            from adding quotes to the column by using the `identify` argument when generating the SQL.
    +317            """
    +318            alias = expression.args.get("alias")
    +319            if alias and alias.args.get("columns"):
    +320                expression = expression.transform(
    +321                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +322                    if isinstance(node, exp.Identifier)
    +323                    and isinstance(node.parent, exp.TableAlias)
    +324                    and node.arg_key == "columns"
    +325                    else node,
    +326                )
    +327                return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
    +328            return super().values_sql(expression)
     
    @@ -1145,6 +1224,26 @@ from adding quotes to the column by using the identify argument whe
    + +
    + +
    + + def + settag_sql(self, expression: sqlglot.expressions.SetTag) -> str: + + + +
    + +
    330        def settag_sql(self, expression: exp.SetTag) -> str:
    +331            action = "UNSET" if expression.args.get("unset") else "SET"
    +332            return f"{action} TAG {self.expressions(expression)}"
    +
    + + + +
    @@ -1157,31 +1256,31 @@ from adding quotes to the column by using the identify argument whe
    -
    298        def select_sql(self, expression: exp.Select) -> str:
    -299            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    -300            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    -301            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    -302            generating the SQL.
    -303
    -304            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    -305            expression. This might not be true in a case where the same column name can be sourced from another table that can
    -306            properly quote but should be true in most cases.
    -307            """
    -308            values_expressions = expression.find_all(exp.Values)
    -309            values_identifiers = set(
    -310                flatten(
    -311                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    -312                    for v in values_expressions
    -313                )
    -314            )
    -315            if values_identifiers:
    -316                expression = expression.transform(
    -317                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    -318                    if isinstance(node, exp.Identifier) and node in values_identifiers
    -319                    else node,
    -320                )
    -321                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    -322            return super().select_sql(expression)
    +            
    334        def select_sql(self, expression: exp.Select) -> str:
    +335            """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
    +336            that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    +337            to unquote a column that we prevent users from adding quotes to the column by using the `identify` argument when
    +338            generating the SQL.
    +339
    +340            Note: We make an assumption that any columns referenced in a VALUES expression should be unquoted throughout the
    +341            expression. This might not be true in a case where the same column name can be sourced from another table that can
    +342            properly quote but should be true in most cases.
    +343            """
    +344            values_expressions = expression.find_all(exp.Values)
    +345            values_identifiers = set(
    +346                flatten(
    +347                    v.args.get("alias", exp.Alias()).args.get("columns", [])
    +348                    for v in values_expressions
    +349                )
    +350            )
    +351            if values_identifiers:
    +352                expression = expression.transform(
    +353                    lambda node: exp.Identifier(**{**node.args, "quoted": False})
    +354                    if isinstance(node, exp.Identifier) and node in values_identifiers
    +355                    else node,
    +356                )
    +357                return self.no_identify(lambda: super(self.__class__, self).select_sql(expression))
    +358            return super().select_sql(expression)
     
    @@ -1208,12 +1307,12 @@ properly quote but should be true in most cases.

    -
    324        def describe_sql(self, expression: exp.Describe) -> str:
    -325            # Default to table if kind is unknown
    -326            kind_value = expression.args.get("kind") or "TABLE"
    -327            kind = f" {kind_value}" if kind_value else ""
    -328            this = f" {self.sql(expression, 'this')}"
    -329            return f"DESCRIBE{kind}{this}"
    +            
    360        def describe_sql(self, expression: exp.Describe) -> str:
    +361            # Default to table if kind is unknown
    +362            kind_value = expression.args.get("kind") or "TABLE"
    +363            kind = f" {kind_value}" if kind_value else ""
    +364            this = f" {self.sql(expression, 'this')}"
    +365            return f"DESCRIBE{kind}{this}"
     
    @@ -1231,14 +1330,14 @@ properly quote but should be true in most cases.

    -
    331        def generatedasidentitycolumnconstraint_sql(
    -332            self, expression: exp.GeneratedAsIdentityColumnConstraint
    -333        ) -> str:
    -334            start = expression.args.get("start")
    -335            start = f" START {start}" if start else ""
    -336            increment = expression.args.get("increment")
    -337            increment = f" INCREMENT {increment}" if increment else ""
    -338            return f"AUTOINCREMENT{start}{increment}"
    +            
    367        def generatedasidentitycolumnconstraint_sql(
    +368            self, expression: exp.GeneratedAsIdentityColumnConstraint
    +369        ) -> str:
    +370            start = expression.args.get("start")
    +371            start = f" START {start}" if start else ""
    +372            increment = expression.args.get("increment")
    +373            increment = f" INCREMENT {increment}" if increment else ""
    +374            return f"AUTOINCREMENT{start}{increment}"
     
    @@ -1397,6 +1496,7 @@ properly quote but should be true in most cases.

    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -1411,6 +1511,7 @@ properly quote but should be true in most cases.

    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/spark.html b/docs/sqlglot/dialects/spark.html index 91f4f4f..e9c0f4e 100644 --- a/docs/sqlglot/dialects/spark.html +++ b/docs/sqlglot/dialects/spark.html @@ -863,6 +863,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -877,6 +878,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/sqlite.html b/docs/sqlglot/dialects/sqlite.html index bf6fd13..5cb5e01 100644 --- a/docs/sqlglot/dialects/sqlite.html +++ b/docs/sqlglot/dialects/sqlite.html @@ -656,6 +656,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    commit_sql
    rollback_sql
    altercolumn_sql
    @@ -669,6 +670,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/starrocks.html b/docs/sqlglot/dialects/starrocks.html index 74bde1e..aa3f9ca 100644 --- a/docs/sqlglot/dialects/starrocks.html +++ b/docs/sqlglot/dialects/starrocks.html @@ -390,6 +390,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -404,6 +405,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/tableau.html b/docs/sqlglot/dialects/tableau.html index e665d42..72df320 100644 --- a/docs/sqlglot/dialects/tableau.html +++ b/docs/sqlglot/dialects/tableau.html @@ -381,6 +381,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -395,6 +396,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/teradata.html b/docs/sqlglot/dialects/teradata.html index 9854606..95ac875 100644 --- a/docs/sqlglot/dialects/teradata.html +++ b/docs/sqlglot/dialects/teradata.html @@ -60,6 +60,9 @@
  • datatype_sql
  • +
  • + rangen_sql +
  • @@ -165,69 +168,86 @@
    74 75 FUNCTION_PARSERS = { 76 **parser.Parser.FUNCTION_PARSERS, # type: ignore - 77 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), - 78 } - 79 - 80 def _parse_translate(self, strict: bool) -> exp.Expression: - 81 this = self._parse_conjunction() - 82 - 83 if not self._match(TokenType.USING): - 84 self.raise_error("Expected USING in TRANSLATE") - 85 - 86 if self._match_texts(self.CHARSET_TRANSLATORS): - 87 charset_split = self._prev.text.split("_TO_") - 88 to = self.expression(exp.CharacterSet, this=charset_split[1]) - 89 else: - 90 self.raise_error("Expected a character set translator after USING in TRANSLATE") - 91 - 92 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) - 93 - 94 # FROM before SET in Teradata UPDATE syntax - 95 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause - 96 def _parse_update(self) -> exp.Expression: - 97 return self.expression( - 98 exp.Update, - 99 **{ # type: ignore -100 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), -101 "from": self._parse_from(), -102 "expressions": self._match(TokenType.SET) -103 and self._parse_csv(self._parse_equality), -104 "where": self._parse_where(), -105 }, -106 ) -107 -108 class Generator(generator.Generator): -109 TYPE_MAPPING = { -110 **generator.Generator.TYPE_MAPPING, # type: ignore -111 exp.DataType.Type.GEOMETRY: "ST_GEOMETRY", -112 } -113 -114 PROPERTIES_LOCATION = { -115 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -116 exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX, -117 exp.VolatilityProperty: exp.Properties.Location.POST_CREATE, -118 } -119 -120 def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str: -121 return f"PARTITION BY {self.sql(expression, 'this')}" -122 -123 # FROM before SET in Teradata UPDATE syntax -124 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause -125 def update_sql(self, expression: exp.Update) -> str: -126 this = self.sql(expression, "this") -127 from_sql = self.sql(expression, "from") -128 set_sql = self.expressions(expression, flat=True) -129 where_sql = self.sql(expression, "where") -130 sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}" -131 return self.prepend_ctes(expression, sql) -132 -133 def mod_sql(self, expression: exp.Mod) -> str: -134 return self.binary(expression, "MOD") -135 -136 def datatype_sql(self, expression: exp.DataType) -> str: -137 type_sql = super().datatype_sql(expression) -138 prefix_sql = expression.args.get("prefix") -139 return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql + 77 "RANGE_N": lambda self: self._parse_rangen(), + 78 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), + 79 } + 80 + 81 def _parse_translate(self, strict: bool) -> exp.Expression: + 82 this = self._parse_conjunction() + 83 + 84 if not self._match(TokenType.USING): + 85 self.raise_error("Expected USING in TRANSLATE") + 86 + 87 if self._match_texts(self.CHARSET_TRANSLATORS): + 88 charset_split = self._prev.text.split("_TO_") + 89 to = self.expression(exp.CharacterSet, this=charset_split[1]) + 90 else: + 91 self.raise_error("Expected a character set translator after USING in TRANSLATE") + 92 + 93 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) + 94 + 95 # FROM before SET in Teradata UPDATE syntax + 96 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause + 97 def _parse_update(self) -> exp.Expression: + 98 return self.expression( + 99 exp.Update, +100 **{ # type: ignore +101 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), +102 "from": self._parse_from(), +103 "expressions": self._match(TokenType.SET) +104 and self._parse_csv(self._parse_equality), +105 "where": self._parse_where(), +106 }, +107 ) +108 +109 def _parse_rangen(self): +110 this = self._parse_id_var() +111 self._match(TokenType.BETWEEN) +112 +113 expressions = self._parse_csv(self._parse_conjunction) +114 each = self._match_text_seq("EACH") and self._parse_conjunction() +115 +116 return self.expression(exp.RangeN, this=this, expressions=expressions, each=each) +117 +118 class Generator(generator.Generator): +119 TYPE_MAPPING = { +120 **generator.Generator.TYPE_MAPPING, # type: ignore +121 exp.DataType.Type.GEOMETRY: "ST_GEOMETRY", +122 } +123 +124 PROPERTIES_LOCATION = { +125 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +126 exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX, +127 } +128 +129 def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str: +130 return f"PARTITION BY {self.sql(expression, 'this')}" +131 +132 # FROM before SET in Teradata UPDATE syntax +133 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause +134 def update_sql(self, expression: exp.Update) -> str: +135 this = self.sql(expression, "this") +136 from_sql = self.sql(expression, "from") +137 set_sql = self.expressions(expression, flat=True) +138 where_sql = self.sql(expression, "where") +139 sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}" +140 return self.prepend_ctes(expression, sql) +141 +142 def mod_sql(self, expression: exp.Mod) -> str: +143 return self.binary(expression, "MOD") +144 +145 def datatype_sql(self, expression: exp.DataType) -> str: +146 type_sql = super().datatype_sql(expression) +147 prefix_sql = expression.args.get("prefix") +148 return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql +149 +150 def rangen_sql(self, expression: exp.RangeN) -> str: +151 this = self.sql(expression, "this") +152 expressions_sql = self.expressions(expression) +153 each_sql = self.sql(expression, "each") +154 each_sql = f" EACH {each_sql}" if each_sql else "" +155 +156 return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})"
    @@ -312,69 +332,86 @@
    75 76 FUNCTION_PARSERS = { 77 **parser.Parser.FUNCTION_PARSERS, # type: ignore - 78 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), - 79 } - 80 - 81 def _parse_translate(self, strict: bool) -> exp.Expression: - 82 this = self._parse_conjunction() - 83 - 84 if not self._match(TokenType.USING): - 85 self.raise_error("Expected USING in TRANSLATE") - 86 - 87 if self._match_texts(self.CHARSET_TRANSLATORS): - 88 charset_split = self._prev.text.split("_TO_") - 89 to = self.expression(exp.CharacterSet, this=charset_split[1]) - 90 else: - 91 self.raise_error("Expected a character set translator after USING in TRANSLATE") - 92 - 93 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) - 94 - 95 # FROM before SET in Teradata UPDATE syntax - 96 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause - 97 def _parse_update(self) -> exp.Expression: - 98 return self.expression( - 99 exp.Update, -100 **{ # type: ignore -101 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), -102 "from": self._parse_from(), -103 "expressions": self._match(TokenType.SET) -104 and self._parse_csv(self._parse_equality), -105 "where": self._parse_where(), -106 }, -107 ) -108 -109 class Generator(generator.Generator): -110 TYPE_MAPPING = { -111 **generator.Generator.TYPE_MAPPING, # type: ignore -112 exp.DataType.Type.GEOMETRY: "ST_GEOMETRY", -113 } -114 -115 PROPERTIES_LOCATION = { -116 **generator.Generator.PROPERTIES_LOCATION, # type: ignore -117 exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX, -118 exp.VolatilityProperty: exp.Properties.Location.POST_CREATE, -119 } -120 -121 def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str: -122 return f"PARTITION BY {self.sql(expression, 'this')}" -123 -124 # FROM before SET in Teradata UPDATE syntax -125 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause -126 def update_sql(self, expression: exp.Update) -> str: -127 this = self.sql(expression, "this") -128 from_sql = self.sql(expression, "from") -129 set_sql = self.expressions(expression, flat=True) -130 where_sql = self.sql(expression, "where") -131 sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}" -132 return self.prepend_ctes(expression, sql) -133 -134 def mod_sql(self, expression: exp.Mod) -> str: -135 return self.binary(expression, "MOD") -136 -137 def datatype_sql(self, expression: exp.DataType) -> str: -138 type_sql = super().datatype_sql(expression) -139 prefix_sql = expression.args.get("prefix") -140 return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql + 78 "RANGE_N": lambda self: self._parse_rangen(), + 79 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), + 80 } + 81 + 82 def _parse_translate(self, strict: bool) -> exp.Expression: + 83 this = self._parse_conjunction() + 84 + 85 if not self._match(TokenType.USING): + 86 self.raise_error("Expected USING in TRANSLATE") + 87 + 88 if self._match_texts(self.CHARSET_TRANSLATORS): + 89 charset_split = self._prev.text.split("_TO_") + 90 to = self.expression(exp.CharacterSet, this=charset_split[1]) + 91 else: + 92 self.raise_error("Expected a character set translator after USING in TRANSLATE") + 93 + 94 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) + 95 + 96 # FROM before SET in Teradata UPDATE syntax + 97 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause + 98 def _parse_update(self) -> exp.Expression: + 99 return self.expression( +100 exp.Update, +101 **{ # type: ignore +102 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), +103 "from": self._parse_from(), +104 "expressions": self._match(TokenType.SET) +105 and self._parse_csv(self._parse_equality), +106 "where": self._parse_where(), +107 }, +108 ) +109 +110 def _parse_rangen(self): +111 this = self._parse_id_var() +112 self._match(TokenType.BETWEEN) +113 +114 expressions = self._parse_csv(self._parse_conjunction) +115 each = self._match_text_seq("EACH") and self._parse_conjunction() +116 +117 return self.expression(exp.RangeN, this=this, expressions=expressions, each=each) +118 +119 class Generator(generator.Generator): +120 TYPE_MAPPING = { +121 **generator.Generator.TYPE_MAPPING, # type: ignore +122 exp.DataType.Type.GEOMETRY: "ST_GEOMETRY", +123 } +124 +125 PROPERTIES_LOCATION = { +126 **generator.Generator.PROPERTIES_LOCATION, # type: ignore +127 exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX, +128 } +129 +130 def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str: +131 return f"PARTITION BY {self.sql(expression, 'this')}" +132 +133 # FROM before SET in Teradata UPDATE syntax +134 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause +135 def update_sql(self, expression: exp.Update) -> str: +136 this = self.sql(expression, "this") +137 from_sql = self.sql(expression, "from") +138 set_sql = self.expressions(expression, flat=True) +139 where_sql = self.sql(expression, "where") +140 sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}" +141 return self.prepend_ctes(expression, sql) +142 +143 def mod_sql(self, expression: exp.Mod) -> str: +144 return self.binary(expression, "MOD") +145 +146 def datatype_sql(self, expression: exp.DataType) -> str: +147 type_sql = super().datatype_sql(expression) +148 prefix_sql = expression.args.get("prefix") +149 return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql +150 +151 def rangen_sql(self, expression: exp.RangeN) -> str: +152 this = self.sql(expression, "this") +153 expressions_sql = self.expressions(expression) +154 each_sql = self.sql(expression, "each") +155 each_sql = f" EACH {each_sql}" if each_sql else "" +156 +157 return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})" @@ -502,36 +539,46 @@ 75 76 FUNCTION_PARSERS = { 77 **parser.Parser.FUNCTION_PARSERS, # type: ignore - 78 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), - 79 } - 80 - 81 def _parse_translate(self, strict: bool) -> exp.Expression: - 82 this = self._parse_conjunction() - 83 - 84 if not self._match(TokenType.USING): - 85 self.raise_error("Expected USING in TRANSLATE") - 86 - 87 if self._match_texts(self.CHARSET_TRANSLATORS): - 88 charset_split = self._prev.text.split("_TO_") - 89 to = self.expression(exp.CharacterSet, this=charset_split[1]) - 90 else: - 91 self.raise_error("Expected a character set translator after USING in TRANSLATE") - 92 - 93 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) - 94 - 95 # FROM before SET in Teradata UPDATE syntax - 96 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause - 97 def _parse_update(self) -> exp.Expression: - 98 return self.expression( - 99 exp.Update, -100 **{ # type: ignore -101 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), -102 "from": self._parse_from(), -103 "expressions": self._match(TokenType.SET) -104 and self._parse_csv(self._parse_equality), -105 "where": self._parse_where(), -106 }, -107 ) + 78 "RANGE_N": lambda self: self._parse_rangen(), + 79 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST), + 80 } + 81 + 82 def _parse_translate(self, strict: bool) -> exp.Expression: + 83 this = self._parse_conjunction() + 84 + 85 if not self._match(TokenType.USING): + 86 self.raise_error("Expected USING in TRANSLATE") + 87 + 88 if self._match_texts(self.CHARSET_TRANSLATORS): + 89 charset_split = self._prev.text.split("_TO_") + 90 to = self.expression(exp.CharacterSet, this=charset_split[1]) + 91 else: + 92 self.raise_error("Expected a character set translator after USING in TRANSLATE") + 93 + 94 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) + 95 + 96 # FROM before SET in Teradata UPDATE syntax + 97 # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause + 98 def _parse_update(self) -> exp.Expression: + 99 return self.expression( +100 exp.Update, +101 **{ # type: ignore +102 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), +103 "from": self._parse_from(), +104 "expressions": self._match(TokenType.SET) +105 and self._parse_csv(self._parse_equality), +106 "where": self._parse_where(), +107 }, +108 ) +109 +110 def _parse_rangen(self): +111 this = self._parse_id_var() +112 self._match(TokenType.BETWEEN) +113 +114 expressions = self._parse_csv(self._parse_conjunction) +115 each = self._match_text_seq("EACH") and self._parse_conjunction() +116 +117 return self.expression(exp.RangeN, this=this, expressions=expressions, each=each) @@ -588,38 +635,45 @@ Default: "nulls_are_small" -
    109    class Generator(generator.Generator):
    -110        TYPE_MAPPING = {
    -111            **generator.Generator.TYPE_MAPPING,  # type: ignore
    -112            exp.DataType.Type.GEOMETRY: "ST_GEOMETRY",
    -113        }
    -114
    -115        PROPERTIES_LOCATION = {
    -116            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    -117            exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX,
    -118            exp.VolatilityProperty: exp.Properties.Location.POST_CREATE,
    -119        }
    -120
    -121        def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
    -122            return f"PARTITION BY {self.sql(expression, 'this')}"
    -123
    -124        # FROM before SET in Teradata UPDATE syntax
    -125        # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause
    -126        def update_sql(self, expression: exp.Update) -> str:
    -127            this = self.sql(expression, "this")
    -128            from_sql = self.sql(expression, "from")
    -129            set_sql = self.expressions(expression, flat=True)
    -130            where_sql = self.sql(expression, "where")
    -131            sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}"
    -132            return self.prepend_ctes(expression, sql)
    -133
    -134        def mod_sql(self, expression: exp.Mod) -> str:
    -135            return self.binary(expression, "MOD")
    -136
    -137        def datatype_sql(self, expression: exp.DataType) -> str:
    -138            type_sql = super().datatype_sql(expression)
    -139            prefix_sql = expression.args.get("prefix")
    -140            return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
    +            
    119    class Generator(generator.Generator):
    +120        TYPE_MAPPING = {
    +121            **generator.Generator.TYPE_MAPPING,  # type: ignore
    +122            exp.DataType.Type.GEOMETRY: "ST_GEOMETRY",
    +123        }
    +124
    +125        PROPERTIES_LOCATION = {
    +126            **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
    +127            exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX,
    +128        }
    +129
    +130        def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
    +131            return f"PARTITION BY {self.sql(expression, 'this')}"
    +132
    +133        # FROM before SET in Teradata UPDATE syntax
    +134        # https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/Teradata-VantageTM-SQL-Data-Manipulation-Language-17.20/Statement-Syntax/UPDATE/UPDATE-Syntax-Basic-Form-FROM-Clause
    +135        def update_sql(self, expression: exp.Update) -> str:
    +136            this = self.sql(expression, "this")
    +137            from_sql = self.sql(expression, "from")
    +138            set_sql = self.expressions(expression, flat=True)
    +139            where_sql = self.sql(expression, "where")
    +140            sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}"
    +141            return self.prepend_ctes(expression, sql)
    +142
    +143        def mod_sql(self, expression: exp.Mod) -> str:
    +144            return self.binary(expression, "MOD")
    +145
    +146        def datatype_sql(self, expression: exp.DataType) -> str:
    +147            type_sql = super().datatype_sql(expression)
    +148            prefix_sql = expression.args.get("prefix")
    +149            return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
    +150
    +151        def rangen_sql(self, expression: exp.RangeN) -> str:
    +152            this = self.sql(expression, "this")
    +153            expressions_sql = self.expressions(expression)
    +154            each_sql = self.sql(expression, "each")
    +155            each_sql = f" EACH {each_sql}" if each_sql else ""
    +156
    +157            return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})"
     
    @@ -679,8 +733,8 @@ Default: True
    -
    121        def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
    -122            return f"PARTITION BY {self.sql(expression, 'this')}"
    +            
    130        def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
    +131            return f"PARTITION BY {self.sql(expression, 'this')}"
     
    @@ -698,13 +752,13 @@ Default: True
    -
    126        def update_sql(self, expression: exp.Update) -> str:
    -127            this = self.sql(expression, "this")
    -128            from_sql = self.sql(expression, "from")
    -129            set_sql = self.expressions(expression, flat=True)
    -130            where_sql = self.sql(expression, "where")
    -131            sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}"
    -132            return self.prepend_ctes(expression, sql)
    +            
    135        def update_sql(self, expression: exp.Update) -> str:
    +136            this = self.sql(expression, "this")
    +137            from_sql = self.sql(expression, "from")
    +138            set_sql = self.expressions(expression, flat=True)
    +139            where_sql = self.sql(expression, "where")
    +140            sql = f"UPDATE {this}{from_sql} SET {set_sql}{where_sql}"
    +141            return self.prepend_ctes(expression, sql)
     
    @@ -722,8 +776,8 @@ Default: True
    -
    134        def mod_sql(self, expression: exp.Mod) -> str:
    -135            return self.binary(expression, "MOD")
    +            
    143        def mod_sql(self, expression: exp.Mod) -> str:
    +144            return self.binary(expression, "MOD")
     
    @@ -741,10 +795,34 @@ Default: True
    -
    137        def datatype_sql(self, expression: exp.DataType) -> str:
    -138            type_sql = super().datatype_sql(expression)
    -139            prefix_sql = expression.args.get("prefix")
    -140            return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
    +            
    146        def datatype_sql(self, expression: exp.DataType) -> str:
    +147            type_sql = super().datatype_sql(expression)
    +148            prefix_sql = expression.args.get("prefix")
    +149            return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
    +
    + + + + +
    +
    + +
    + + def + rangen_sql(self, expression: sqlglot.expressions.RangeN) -> str: + + + +
    + +
    151        def rangen_sql(self, expression: exp.RangeN) -> str:
    +152            this = self.sql(expression, "this")
    +153            expressions_sql = self.expressions(expression)
    +154            each_sql = self.sql(expression, "each")
    +155            each_sql = f" EACH {each_sql}" if each_sql else ""
    +156
    +157            return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})"
     
    @@ -907,6 +985,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -921,6 +1000,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/trino.html b/docs/sqlglot/dialects/trino.html index 957ddc5..2a04e23 100644 --- a/docs/sqlglot/dialects/trino.html +++ b/docs/sqlglot/dialects/trino.html @@ -358,6 +358,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    commit_sql
    rollback_sql
    altercolumn_sql
    @@ -371,6 +372,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/dialects/tsql.html b/docs/sqlglot/dialects/tsql.html index d469f16..54ef095 100644 --- a/docs/sqlglot/dialects/tsql.html +++ b/docs/sqlglot/dialects/tsql.html @@ -1509,6 +1509,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -1523,6 +1524,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/executor/python.html b/docs/sqlglot/executor/python.html index 9b67f01..d1e2d1c 100644 --- a/docs/sqlglot/executor/python.html +++ b/docs/sqlglot/executor/python.html @@ -1867,6 +1867,7 @@ Default: True
    currentdate_sql
    collate_sql
    command_sql
    +
    comment_sql
    transaction_sql
    commit_sql
    rollback_sql
    @@ -1881,6 +1882,7 @@ Default: True
    intdiv_sql
    dpipe_sql
    div_sql
    +
    overlaps_sql
    distance_sql
    dot_sql
    eq_sql
    diff --git a/docs/sqlglot/expressions.html b/docs/sqlglot/expressions.html index adb9af8..84543d1 100644 --- a/docs/sqlglot/expressions.html +++ b/docs/sqlglot/expressions.html @@ -95,6 +95,9 @@
  • parent_select
  • +
  • + root +
  • walk
  • @@ -313,6 +316,18 @@
    + +
  • + SetTag +
      +
    + +
  • +
  • + Comment +
      +
    +
  • ColumnConstraint @@ -1549,6 +1564,12 @@
    +
  • +
  • + Overlaps +
      +
    +
  • Dot @@ -1891,6 +1912,12 @@
    +
  • +
  • + ArrayJoin +
      +
    +
  • ArraySize @@ -2419,6 +2446,12 @@
    +
  • +
  • + RangeN +
      +
    +
  • ReadCSV @@ -2896,4816 +2929,4849 @@ SQL expressions, such as sqlglot.expressions.select< 35if t.TYPE_CHECKING: 36 from sqlglot.dialects.dialect import DialectType 37 - 38 - 39class _Expression(type): - 40 def __new__(cls, clsname, bases, attrs): - 41 klass = super().__new__(cls, clsname, bases, attrs) - 42 - 43 # When an Expression class is created, its key is automatically set to be - 44 # the lowercase version of the class' name. - 45 klass.key = clsname.lower() - 46 - 47 # This is so that docstrings are not inherited in pdoc - 48 klass.__doc__ = klass.__doc__ or "" - 49 - 50 return klass + 38E = t.TypeVar("E", bound="Expression") + 39 + 40 + 41class _Expression(type): + 42 def __new__(cls, clsname, bases, attrs): + 43 klass = super().__new__(cls, clsname, bases, attrs) + 44 + 45 # When an Expression class is created, its key is automatically set to be + 46 # the lowercase version of the class' name. + 47 klass.key = clsname.lower() + 48 + 49 # This is so that docstrings are not inherited in pdoc + 50 klass.__doc__ = klass.__doc__ or "" 51 - 52 - 53class Expression(metaclass=_Expression): - 54 """ - 55 The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary - 56 context, such as its child expressions, their names (arg keys), and whether a given child expression - 57 is optional or not. - 58 - 59 Attributes: - 60 key: a unique key for each class in the Expression hierarchy. This is useful for hashing - 61 and representing expressions as strings. - 62 arg_types: determines what arguments (child nodes) are supported by an expression. It - 63 maps arg keys to booleans that indicate whether the corresponding args are optional. - 64 - 65 Example: - 66 >>> class Foo(Expression): - 67 ... arg_types = {"this": True, "expression": False} - 68 - 69 The above definition informs us that Foo is an Expression that requires an argument called - 70 "this" and may also optionally receive an argument called "expression". - 71 - 72 Args: - 73 args: a mapping used for retrieving the arguments of an expression, given their arg keys. - 74 parent: a reference to the parent expression (or None, in case of root expressions). - 75 arg_key: the arg key an expression is associated with, i.e. the name its parent expression - 76 uses to refer to it. - 77 comments: a list of comments that are associated with a given expression. This is used in - 78 order to preserve comments when transpiling SQL code. - 79 _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the - 80 optimizer, in order to enable some transformations that require type information. - 81 """ - 82 - 83 key = "expression" - 84 arg_types = {"this": True} - 85 __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta") - 86 - 87 def __init__(self, **args: t.Any): - 88 self.args: t.Dict[str, t.Any] = args - 89 self.parent: t.Optional[Expression] = None - 90 self.arg_key: t.Optional[str] = None - 91 self.comments: t.Optional[t.List[str]] = None - 92 self._type: t.Optional[DataType] = None - 93 self._meta: t.Optional[t.Dict[str, t.Any]] = None - 94 - 95 for arg_key, value in self.args.items(): - 96 self._set_parent(arg_key, value) - 97 - 98 def __eq__(self, other) -> bool: - 99 return type(self) is type(other) and _norm_args(self) == _norm_args(other) - 100 - 101 def __hash__(self) -> int: - 102 return hash( - 103 ( - 104 self.key, - 105 tuple( - 106 (k, tuple(v) if isinstance(v, list) else v) for k, v in _norm_args(self).items() - 107 ), - 108 ) - 109 ) - 110 - 111 @property - 112 def this(self): - 113 """ - 114 Retrieves the argument with key "this". - 115 """ - 116 return self.args.get("this") - 117 - 118 @property - 119 def expression(self): - 120 """ - 121 Retrieves the argument with key "expression". - 122 """ - 123 return self.args.get("expression") - 124 - 125 @property - 126 def expressions(self): - 127 """ - 128 Retrieves the argument with key "expressions". - 129 """ - 130 return self.args.get("expressions") or [] - 131 - 132 def text(self, key) -> str: - 133 """ - 134 Returns a textual representation of the argument corresponding to "key". This can only be used - 135 for args that are strings or leaf Expression instances, such as identifiers and literals. - 136 """ - 137 field = self.args.get(key) - 138 if isinstance(field, str): - 139 return field - 140 if isinstance(field, (Identifier, Literal, Var)): - 141 return field.this - 142 if isinstance(field, (Star, Null)): - 143 return field.name - 144 return "" - 145 - 146 @property - 147 def is_string(self) -> bool: - 148 """ - 149 Checks whether a Literal expression is a string. - 150 """ - 151 return isinstance(self, Literal) and self.args["is_string"] - 152 - 153 @property - 154 def is_number(self) -> bool: - 155 """ - 156 Checks whether a Literal expression is a number. - 157 """ - 158 return isinstance(self, Literal) and not self.args["is_string"] - 159 - 160 @property - 161 def is_int(self) -> bool: - 162 """ - 163 Checks whether a Literal expression is an integer. - 164 """ - 165 if self.is_number: - 166 try: - 167 int(self.name) - 168 return True - 169 except ValueError: - 170 pass - 171 return False - 172 - 173 @property - 174 def is_star(self) -> bool: - 175 """Checks whether an expression is a star.""" - 176 return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star)) - 177 - 178 @property - 179 def alias(self) -> str: - 180 """ - 181 Returns the alias of the expression, or an empty string if it's not aliased. - 182 """ - 183 if isinstance(self.args.get("alias"), TableAlias): - 184 return self.args["alias"].name - 185 return self.text("alias") - 186 - 187 @property - 188 def name(self) -> str: - 189 return self.text("this") - 190 - 191 @property - 192 def alias_or_name(self): - 193 return self.alias or self.name - 194 - 195 @property - 196 def output_name(self): - 197 """ - 198 Name of the output column if this expression is a selection. - 199 - 200 If the Expression has no output name, an empty string is returned. + 52 return klass + 53 + 54 + 55class Expression(metaclass=_Expression): + 56 """ + 57 The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary + 58 context, such as its child expressions, their names (arg keys), and whether a given child expression + 59 is optional or not. + 60 + 61 Attributes: + 62 key: a unique key for each class in the Expression hierarchy. This is useful for hashing + 63 and representing expressions as strings. + 64 arg_types: determines what arguments (child nodes) are supported by an expression. It + 65 maps arg keys to booleans that indicate whether the corresponding args are optional. + 66 + 67 Example: + 68 >>> class Foo(Expression): + 69 ... arg_types = {"this": True, "expression": False} + 70 + 71 The above definition informs us that Foo is an Expression that requires an argument called + 72 "this" and may also optionally receive an argument called "expression". + 73 + 74 Args: + 75 args: a mapping used for retrieving the arguments of an expression, given their arg keys. + 76 parent: a reference to the parent expression (or None, in case of root expressions). + 77 arg_key: the arg key an expression is associated with, i.e. the name its parent expression + 78 uses to refer to it. + 79 comments: a list of comments that are associated with a given expression. This is used in + 80 order to preserve comments when transpiling SQL code. + 81 _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the + 82 optimizer, in order to enable some transformations that require type information. + 83 """ + 84 + 85 key = "expression" + 86 arg_types = {"this": True} + 87 __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta") + 88 + 89 def __init__(self, **args: t.Any): + 90 self.args: t.Dict[str, t.Any] = args + 91 self.parent: t.Optional[Expression] = None + 92 self.arg_key: t.Optional[str] = None + 93 self.comments: t.Optional[t.List[str]] = None + 94 self._type: t.Optional[DataType] = None + 95 self._meta: t.Optional[t.Dict[str, t.Any]] = None + 96 + 97 for arg_key, value in self.args.items(): + 98 self._set_parent(arg_key, value) + 99 + 100 def __eq__(self, other) -> bool: + 101 return type(self) is type(other) and _norm_args(self) == _norm_args(other) + 102 + 103 def __hash__(self) -> int: + 104 return hash( + 105 ( + 106 self.key, + 107 tuple( + 108 (k, tuple(v) if isinstance(v, list) else v) for k, v in _norm_args(self).items() + 109 ), + 110 ) + 111 ) + 112 + 113 @property + 114 def this(self): + 115 """ + 116 Retrieves the argument with key "this". + 117 """ + 118 return self.args.get("this") + 119 + 120 @property + 121 def expression(self): + 122 """ + 123 Retrieves the argument with key "expression". + 124 """ + 125 return self.args.get("expression") + 126 + 127 @property + 128 def expressions(self): + 129 """ + 130 Retrieves the argument with key "expressions". + 131 """ + 132 return self.args.get("expressions") or [] + 133 + 134 def text(self, key) -> str: + 135 """ + 136 Returns a textual representation of the argument corresponding to "key". This can only be used + 137 for args that are strings or leaf Expression instances, such as identifiers and literals. + 138 """ + 139 field = self.args.get(key) + 140 if isinstance(field, str): + 141 return field + 142 if isinstance(field, (Identifier, Literal, Var)): + 143 return field.this + 144 if isinstance(field, (Star, Null)): + 145 return field.name + 146 return "" + 147 + 148 @property + 149 def is_string(self) -> bool: + 150 """ + 151 Checks whether a Literal expression is a string. + 152 """ + 153 return isinstance(self, Literal) and self.args["is_string"] + 154 + 155 @property + 156 def is_number(self) -> bool: + 157 """ + 158 Checks whether a Literal expression is a number. + 159 """ + 160 return isinstance(self, Literal) and not self.args["is_string"] + 161 + 162 @property + 163 def is_int(self) -> bool: + 164 """ + 165 Checks whether a Literal expression is an integer. + 166 """ + 167 if self.is_number: + 168 try: + 169 int(self.name) + 170 return True + 171 except ValueError: + 172 pass + 173 return False + 174 + 175 @property + 176 def is_star(self) -> bool: + 177 """Checks whether an expression is a star.""" + 178 return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star)) + 179 + 180 @property + 181 def alias(self) -> str: + 182 """ + 183 Returns the alias of the expression, or an empty string if it's not aliased. + 184 """ + 185 if isinstance(self.args.get("alias"), TableAlias): + 186 return self.args["alias"].name + 187 return self.text("alias") + 188 + 189 @property + 190 def name(self) -> str: + 191 return self.text("this") + 192 + 193 @property + 194 def alias_or_name(self): + 195 return self.alias or self.name + 196 + 197 @property + 198 def output_name(self): + 199 """ + 200 Name of the output column if this expression is a selection. 201 - 202 Example: - 203 >>> from sqlglot import parse_one - 204 >>> parse_one("SELECT a").expressions[0].output_name - 205 'a' - 206 >>> parse_one("SELECT b AS c").expressions[0].output_name - 207 'c' - 208 >>> parse_one("SELECT 1 + 2").expressions[0].output_name - 209 '' - 210 """ - 211 return "" - 212 - 213 @property - 214 def type(self) -> t.Optional[DataType]: - 215 return self._type - 216 - 217 @type.setter - 218 def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None: - 219 if dtype and not isinstance(dtype, DataType): - 220 dtype = DataType.build(dtype) - 221 self._type = dtype # type: ignore - 222 - 223 @property - 224 def meta(self) -> t.Dict[str, t.Any]: - 225 if self._meta is None: - 226 self._meta = {} - 227 return self._meta - 228 - 229 def __deepcopy__(self, memo): - 230 copy = self.__class__(**deepcopy(self.args)) - 231 if self.comments is not None: - 232 copy.comments = deepcopy(self.comments) - 233 - 234 if self._type is not None: - 235 copy._type = self._type.copy() - 236 - 237 if self._meta is not None: - 238 copy._meta = deepcopy(self._meta) - 239 - 240 return copy + 202 If the Expression has no output name, an empty string is returned. + 203 + 204 Example: + 205 >>> from sqlglot import parse_one + 206 >>> parse_one("SELECT a").expressions[0].output_name + 207 'a' + 208 >>> parse_one("SELECT b AS c").expressions[0].output_name + 209 'c' + 210 >>> parse_one("SELECT 1 + 2").expressions[0].output_name + 211 '' + 212 """ + 213 return "" + 214 + 215 @property + 216 def type(self) -> t.Optional[DataType]: + 217 return self._type + 218 + 219 @type.setter + 220 def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None: + 221 if dtype and not isinstance(dtype, DataType): + 222 dtype = DataType.build(dtype) + 223 self._type = dtype # type: ignore + 224 + 225 @property + 226 def meta(self) -> t.Dict[str, t.Any]: + 227 if self._meta is None: + 228 self._meta = {} + 229 return self._meta + 230 + 231 def __deepcopy__(self, memo): + 232 copy = self.__class__(**deepcopy(self.args)) + 233 if self.comments is not None: + 234 copy.comments = deepcopy(self.comments) + 235 + 236 if self._type is not None: + 237 copy._type = self._type.copy() + 238 + 239 if self._meta is not None: + 240 copy._meta = deepcopy(self._meta) 241 - 242 def copy(self): - 243 """ - 244 Returns a deep copy of the expression. - 245 """ - 246 new = deepcopy(self) - 247 new.parent = self.parent - 248 for item, parent, _ in new.bfs(): - 249 if isinstance(item, Expression) and parent: - 250 item.parent = parent - 251 return new - 252 - 253 def append(self, arg_key, value): - 254 """ - 255 Appends value to arg_key if it's a list or sets it as a new list. - 256 - 257 Args: - 258 arg_key (str): name of the list expression arg - 259 value (Any): value to append to the list - 260 """ - 261 if not isinstance(self.args.get(arg_key), list): - 262 self.args[arg_key] = [] - 263 self.args[arg_key].append(value) - 264 self._set_parent(arg_key, value) - 265 - 266 def set(self, arg_key, value): - 267 """ - 268 Sets `arg_key` to `value`. - 269 - 270 Args: - 271 arg_key (str): name of the expression arg. - 272 value: value to set the arg to. - 273 """ - 274 self.args[arg_key] = value - 275 self._set_parent(arg_key, value) - 276 - 277 def _set_parent(self, arg_key, value): - 278 if isinstance(value, Expression): - 279 value.parent = self - 280 value.arg_key = arg_key - 281 elif isinstance(value, list): - 282 for v in value: - 283 if isinstance(v, Expression): - 284 v.parent = self - 285 v.arg_key = arg_key - 286 - 287 @property - 288 def depth(self): - 289 """ - 290 Returns the depth of this tree. - 291 """ - 292 if self.parent: - 293 return self.parent.depth + 1 - 294 return 0 - 295 - 296 def find(self, *expression_types, bfs=True): - 297 """ - 298 Returns the first node in this tree which matches at least one of - 299 the specified types. - 300 - 301 Args: - 302 expression_types (type): the expression type(s) to match. - 303 - 304 Returns: - 305 The node which matches the criteria or None if no such node was found. - 306 """ - 307 return next(self.find_all(*expression_types, bfs=bfs), None) - 308 - 309 def find_all(self, *expression_types, bfs=True): - 310 """ - 311 Returns a generator object which visits all nodes in this tree and only - 312 yields those that match at least one of the specified expression types. - 313 - 314 Args: - 315 expression_types (type): the expression type(s) to match. - 316 - 317 Returns: - 318 The generator object. - 319 """ - 320 for expression, _, _ in self.walk(bfs=bfs): - 321 if isinstance(expression, expression_types): - 322 yield expression - 323 - 324 def find_ancestor(self, *expression_types): - 325 """ - 326 Returns a nearest parent matching expression_types. - 327 - 328 Args: - 329 expression_types (type): the expression type(s) to match. - 330 - 331 Returns: - 332 The parent node. - 333 """ - 334 ancestor = self.parent - 335 while ancestor and not isinstance(ancestor, expression_types): - 336 ancestor = ancestor.parent - 337 return ancestor - 338 - 339 @property - 340 def parent_select(self): - 341 """ - 342 Returns the parent select statement. - 343 """ - 344 return self.find_ancestor(Select) - 345 - 346 def walk(self, bfs=True, prune=None): - 347 """ - 348 Returns a generator object which visits all nodes in this tree. - 349 - 350 Args: - 351 bfs (bool): if set to True the BFS traversal order will be applied, - 352 otherwise the DFS traversal will be used instead. - 353 prune ((node, parent, arg_key) -> bool): callable that returns True if - 354 the generator should stop traversing this branch of the tree. - 355 - 356 Returns: - 357 the generator object. - 358 """ - 359 if bfs: - 360 yield from self.bfs(prune=prune) - 361 else: - 362 yield from self.dfs(prune=prune) - 363 - 364 def dfs(self, parent=None, key=None, prune=None): - 365 """ - 366 Returns a generator object which visits all nodes in this tree in - 367 the DFS (Depth-first) order. - 368 - 369 Returns: - 370 The generator object. - 371 """ - 372 parent = parent or self.parent - 373 yield self, parent, key - 374 if prune and prune(self, parent, key): - 375 return - 376 - 377 for k, v in self.args.items(): - 378 for node in ensure_collection(v): - 379 if isinstance(node, Expression): - 380 yield from node.dfs(self, k, prune) - 381 - 382 def bfs(self, prune=None): - 383 """ - 384 Returns a generator object which visits all nodes in this tree in - 385 the BFS (Breadth-first) order. - 386 - 387 Returns: - 388 The generator object. - 389 """ - 390 queue = deque([(self, self.parent, None)]) - 391 - 392 while queue: - 393 item, parent, key = queue.popleft() - 394 - 395 yield item, parent, key - 396 if prune and prune(item, parent, key): - 397 continue + 242 return copy + 243 + 244 def copy(self): + 245 """ + 246 Returns a deep copy of the expression. + 247 """ + 248 new = deepcopy(self) + 249 new.parent = self.parent + 250 for item, parent, _ in new.bfs(): + 251 if isinstance(item, Expression) and parent: + 252 item.parent = parent + 253 return new + 254 + 255 def append(self, arg_key, value): + 256 """ + 257 Appends value to arg_key if it's a list or sets it as a new list. + 258 + 259 Args: + 260 arg_key (str): name of the list expression arg + 261 value (Any): value to append to the list + 262 """ + 263 if not isinstance(self.args.get(arg_key), list): + 264 self.args[arg_key] = [] + 265 self.args[arg_key].append(value) + 266 self._set_parent(arg_key, value) + 267 + 268 def set(self, arg_key, value): + 269 """ + 270 Sets `arg_key` to `value`. + 271 + 272 Args: + 273 arg_key (str): name of the expression arg. + 274 value: value to set the arg to. + 275 """ + 276 self.args[arg_key] = value + 277 self._set_parent(arg_key, value) + 278 + 279 def _set_parent(self, arg_key, value): + 280 if isinstance(value, Expression): + 281 value.parent = self + 282 value.arg_key = arg_key + 283 elif isinstance(value, list): + 284 for v in value: + 285 if isinstance(v, Expression): + 286 v.parent = self + 287 v.arg_key = arg_key + 288 + 289 @property + 290 def depth(self): + 291 """ + 292 Returns the depth of this tree. + 293 """ + 294 if self.parent: + 295 return self.parent.depth + 1 + 296 return 0 + 297 + 298 def find(self, *expression_types: t.Type[E], bfs=True) -> E | None: + 299 """ + 300 Returns the first node in this tree which matches at least one of + 301 the specified types. + 302 + 303 Args: + 304 expression_types (type): the expression type(s) to match. + 305 + 306 Returns: + 307 The node which matches the criteria or None if no such node was found. + 308 """ + 309 return next(self.find_all(*expression_types, bfs=bfs), None) + 310 + 311 def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]: + 312 """ + 313 Returns a generator object which visits all nodes in this tree and only + 314 yields those that match at least one of the specified expression types. + 315 + 316 Args: + 317 expression_types (type): the expression type(s) to match. + 318 + 319 Returns: + 320 The generator object. + 321 """ + 322 for expression, _, _ in self.walk(bfs=bfs): + 323 if isinstance(expression, expression_types): + 324 yield expression + 325 + 326 def find_ancestor(self, *expression_types: t.Type[E]) -> E | None: + 327 """ + 328 Returns a nearest parent matching expression_types. + 329 + 330 Args: + 331 expression_types (type): the expression type(s) to match. + 332 + 333 Returns: + 334 The parent node. + 335 """ + 336 ancestor = self.parent + 337 while ancestor and not isinstance(ancestor, expression_types): + 338 ancestor = ancestor.parent + 339 # ignore type because mypy doesn't know that we're checking type in the loop + 340 return ancestor # type: ignore[return-value] + 341 + 342 @property + 343 def parent_select(self): + 344 """ + 345 Returns the parent select statement. + 346 """ + 347 return self.find_ancestor(Select) + 348 + 349 def root(self) -> Expression: + 350 """ + 351 Returns the root expression of this tree. + 352 """ + 353 expression = self + 354 while expression.parent: + 355 expression = expression.parent + 356 return expression + 357 + 358 def walk(self, bfs=True, prune=None): + 359 """ + 360 Returns a generator object which visits all nodes in this tree. + 361 + 362 Args: + 363 bfs (bool): if set to True the BFS traversal order will be applied, + 364 otherwise the DFS traversal will be used instead. + 365 prune ((node, parent, arg_key) -> bool): callable that returns True if + 366 the generator should stop traversing this branch of the tree. + 367 + 368 Returns: + 369 the generator object. + 370 """ + 371 if bfs: + 372 yield from self.bfs(prune=prune) + 373 else: + 374 yield from self.dfs(prune=prune) + 375 + 376 def dfs(self, parent=None, key=None, prune=None): + 377 """ + 378 Returns a generator object which visits all nodes in this tree in + 379 the DFS (Depth-first) order. + 380 + 381 Returns: + 382 The generator object. + 383 """ + 384 parent = parent or self.parent + 385 yield self, parent, key + 386 if prune and prune(self, parent, key): + 387 return + 388 + 389 for k, v in self.args.items(): + 390 for node in ensure_collection(v): + 391 if isinstance(node, Expression): + 392 yield from node.dfs(self, k, prune) + 393 + 394 def bfs(self, prune=None): + 395 """ + 396 Returns a generator object which visits all nodes in this tree in + 397 the BFS (Breadth-first) order. 398 - 399 if isinstance(item, Expression): - 400 for k, v in item.args.items(): - 401 for node in ensure_collection(v): - 402 if isinstance(node, Expression): - 403 queue.append((node, item, k)) - 404 - 405 def unnest(self): - 406 """ - 407 Returns the first non parenthesis child or self. - 408 """ - 409 expression = self - 410 while isinstance(expression, Paren): - 411 expression = expression.this - 412 return expression - 413 - 414 def unalias(self): - 415 """ - 416 Returns the inner expression if this is an Alias. - 417 """ - 418 if isinstance(self, Alias): - 419 return self.this - 420 return self - 421 - 422 def unnest_operands(self): - 423 """ - 424 Returns unnested operands as a tuple. - 425 """ - 426 return tuple(arg.unnest() for arg in self.args.values() if arg) - 427 - 428 def flatten(self, unnest=True): - 429 """ - 430 Returns a generator which yields child nodes who's parents are the same class. - 431 - 432 A AND B AND C -> [A, B, C] - 433 """ - 434 for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)): - 435 if not isinstance(node, self.__class__): - 436 yield node.unnest() if unnest else node - 437 - 438 def __str__(self): - 439 return self.sql() - 440 - 441 def __repr__(self): - 442 return self._to_s() + 399 Returns: + 400 The generator object. + 401 """ + 402 queue = deque([(self, self.parent, None)]) + 403 + 404 while queue: + 405 item, parent, key = queue.popleft() + 406 + 407 yield item, parent, key + 408 if prune and prune(item, parent, key): + 409 continue + 410 + 411 if isinstance(item, Expression): + 412 for k, v in item.args.items(): + 413 for node in ensure_collection(v): + 414 if isinstance(node, Expression): + 415 queue.append((node, item, k)) + 416 + 417 def unnest(self): + 418 """ + 419 Returns the first non parenthesis child or self. + 420 """ + 421 expression = self + 422 while isinstance(expression, Paren): + 423 expression = expression.this + 424 return expression + 425 + 426 def unalias(self): + 427 """ + 428 Returns the inner expression if this is an Alias. + 429 """ + 430 if isinstance(self, Alias): + 431 return self.this + 432 return self + 433 + 434 def unnest_operands(self): + 435 """ + 436 Returns unnested operands as a tuple. + 437 """ + 438 return tuple(arg.unnest() for arg in self.args.values() if arg) + 439 + 440 def flatten(self, unnest=True): + 441 """ + 442 Returns a generator which yields child nodes who's parents are the same class. 443 - 444 def sql(self, dialect: DialectType = None, **opts) -> str: - 445 """ - 446 Returns SQL string representation of this tree. - 447 - 448 Args: - 449 dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql"). - 450 opts: other `sqlglot.generator.Generator` options. - 451 - 452 Returns: - 453 The SQL string. - 454 """ - 455 from sqlglot.dialects import Dialect - 456 - 457 return Dialect.get_or_raise(dialect)().generate(self, **opts) - 458 - 459 def _to_s(self, hide_missing: bool = True, level: int = 0) -> str: - 460 indent = "" if not level else "\n" - 461 indent += "".join([" "] * level) - 462 left = f"({self.key.upper()} " + 444 A AND B AND C -> [A, B, C] + 445 """ + 446 for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)): + 447 if not isinstance(node, self.__class__): + 448 yield node.unnest() if unnest else node + 449 + 450 def __str__(self): + 451 return self.sql() + 452 + 453 def __repr__(self): + 454 return self._to_s() + 455 + 456 def sql(self, dialect: DialectType = None, **opts) -> str: + 457 """ + 458 Returns SQL string representation of this tree. + 459 + 460 Args: + 461 dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql"). + 462 opts: other `sqlglot.generator.Generator` options. 463 - 464 args: t.Dict[str, t.Any] = { - 465 k: ", ".join( - 466 v._to_s(hide_missing=hide_missing, level=level + 1) - 467 if hasattr(v, "_to_s") - 468 else str(v) - 469 for v in ensure_collection(vs) - 470 if v is not None - 471 ) - 472 for k, vs in self.args.items() - 473 } - 474 args["comments"] = self.comments - 475 args["type"] = self.type - 476 args = {k: v for k, v in args.items() if v or not hide_missing} - 477 - 478 right = ", ".join(f"{k}: {v}" for k, v in args.items()) - 479 right += ")" - 480 - 481 return indent + left + right - 482 - 483 def transform(self, fun, *args, copy=True, **kwargs): - 484 """ - 485 Recursively visits all tree nodes (excluding already transformed ones) - 486 and applies the given transformation function to each node. - 487 - 488 Args: - 489 fun (function): a function which takes a node as an argument and returns a - 490 new transformed node or the same node without modifications. If the function - 491 returns None, then the corresponding node will be removed from the syntax tree. - 492 copy (bool): if set to True a new tree instance is constructed, otherwise the tree is - 493 modified in place. + 464 Returns: + 465 The SQL string. + 466 """ + 467 from sqlglot.dialects import Dialect + 468 + 469 return Dialect.get_or_raise(dialect)().generate(self, **opts) + 470 + 471 def _to_s(self, hide_missing: bool = True, level: int = 0) -> str: + 472 indent = "" if not level else "\n" + 473 indent += "".join([" "] * level) + 474 left = f"({self.key.upper()} " + 475 + 476 args: t.Dict[str, t.Any] = { + 477 k: ", ".join( + 478 v._to_s(hide_missing=hide_missing, level=level + 1) + 479 if hasattr(v, "_to_s") + 480 else str(v) + 481 for v in ensure_collection(vs) + 482 if v is not None + 483 ) + 484 for k, vs in self.args.items() + 485 } + 486 args["comments"] = self.comments + 487 args["type"] = self.type + 488 args = {k: v for k, v in args.items() if v or not hide_missing} + 489 + 490 right = ", ".join(f"{k}: {v}" for k, v in args.items()) + 491 right += ")" + 492 + 493 return indent + left + right 494 - 495 Returns: - 496 The transformed tree. - 497 """ - 498 node = self.copy() if copy else self - 499 new_node = fun(node, *args, **kwargs) - 500 - 501 if new_node is None or not isinstance(new_node, Expression): - 502 return new_node - 503 if new_node is not node: - 504 new_node.parent = node.parent - 505 return new_node + 495 def transform(self, fun, *args, copy=True, **kwargs): + 496 """ + 497 Recursively visits all tree nodes (excluding already transformed ones) + 498 and applies the given transformation function to each node. + 499 + 500 Args: + 501 fun (function): a function which takes a node as an argument and returns a + 502 new transformed node or the same node without modifications. If the function + 503 returns None, then the corresponding node will be removed from the syntax tree. + 504 copy (bool): if set to True a new tree instance is constructed, otherwise the tree is + 505 modified in place. 506 - 507 replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs)) - 508 return new_node - 509 - 510 def replace(self, expression): - 511 """ - 512 Swap out this expression with a new expression. - 513 - 514 For example:: - 515 - 516 >>> tree = Select().select("x").from_("tbl") - 517 >>> tree.find(Column).replace(Column(this="y")) - 518 (COLUMN this: y) - 519 >>> tree.sql() - 520 'SELECT y FROM tbl' + 507 Returns: + 508 The transformed tree. + 509 """ + 510 node = self.copy() if copy else self + 511 new_node = fun(node, *args, **kwargs) + 512 + 513 if new_node is None or not isinstance(new_node, Expression): + 514 return new_node + 515 if new_node is not node: + 516 new_node.parent = node.parent + 517 return new_node + 518 + 519 replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs)) + 520 return new_node 521 - 522 Args: - 523 expression (Expression|None): new node - 524 - 525 Returns: - 526 The new expression or expressions. - 527 """ - 528 if not self.parent: - 529 return expression - 530 - 531 parent = self.parent - 532 self.parent = None + 522 def replace(self, expression): + 523 """ + 524 Swap out this expression with a new expression. + 525 + 526 For example:: + 527 + 528 >>> tree = Select().select("x").from_("tbl") + 529 >>> tree.find(Column).replace(Column(this="y")) + 530 (COLUMN this: y) + 531 >>> tree.sql() + 532 'SELECT y FROM tbl' 533 - 534 replace_children(parent, lambda child: expression if child is self else child) - 535 return expression + 534 Args: + 535 expression (Expression|None): new node 536 - 537 def pop(self): - 538 """ - 539 Remove this expression from its AST. - 540 """ - 541 self.replace(None) + 537 Returns: + 538 The new expression or expressions. + 539 """ + 540 if not self.parent: + 541 return expression 542 - 543 def assert_is(self, type_): - 544 """ - 545 Assert that this `Expression` is an instance of `type_`. - 546 - 547 If it is NOT an instance of `type_`, this raises an assertion error. - 548 Otherwise, this returns this expression. - 549 - 550 Examples: - 551 This is useful for type security in chained expressions: - 552 - 553 >>> import sqlglot - 554 >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql() - 555 'SELECT x, z FROM y' - 556 """ - 557 assert isinstance(self, type_) - 558 return self - 559 - 560 def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]: - 561 """ - 562 Checks if this expression is valid (e.g. all mandatory args are set). - 563 - 564 Args: - 565 args: a sequence of values that were used to instantiate a Func expression. This is used - 566 to check that the provided arguments don't exceed the function argument limit. - 567 - 568 Returns: - 569 A list of error messages for all possible errors that were found. - 570 """ - 571 errors: t.List[str] = [] - 572 - 573 for k in self.args: - 574 if k not in self.arg_types: - 575 errors.append(f"Unexpected keyword: '{k}' for {self.__class__}") - 576 for k, mandatory in self.arg_types.items(): - 577 v = self.args.get(k) - 578 if mandatory and (v is None or (isinstance(v, list) and not v)): - 579 errors.append(f"Required keyword: '{k}' missing for {self.__class__}") - 580 - 581 if ( - 582 args - 583 and isinstance(self, Func) - 584 and len(args) > len(self.arg_types) - 585 and not self.is_var_len_args - 586 ): - 587 errors.append( - 588 f"The number of provided arguments ({len(args)}) is greater than " - 589 f"the maximum number of supported arguments ({len(self.arg_types)})" - 590 ) - 591 - 592 return errors - 593 - 594 def dump(self): - 595 """ - 596 Dump this Expression to a JSON-serializable dict. - 597 """ - 598 from sqlglot.serde import dump - 599 - 600 return dump(self) - 601 - 602 @classmethod - 603 def load(cls, obj): - 604 """ - 605 Load a dict (as returned by `Expression.dump`) into an Expression instance. - 606 """ - 607 from sqlglot.serde import load - 608 - 609 return load(obj) - 610 + 543 parent = self.parent + 544 self.parent = None + 545 + 546 replace_children(parent, lambda child: expression if child is self else child) + 547 return expression + 548 + 549 def pop(self): + 550 """ + 551 Remove this expression from its AST. + 552 """ + 553 self.replace(None) + 554 + 555 def assert_is(self, type_): + 556 """ + 557 Assert that this `Expression` is an instance of `type_`. + 558 + 559 If it is NOT an instance of `type_`, this raises an assertion error. + 560 Otherwise, this returns this expression. + 561 + 562 Examples: + 563 This is useful for type security in chained expressions: + 564 + 565 >>> import sqlglot + 566 >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql() + 567 'SELECT x, z FROM y' + 568 """ + 569 assert isinstance(self, type_) + 570 return self + 571 + 572 def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]: + 573 """ + 574 Checks if this expression is valid (e.g. all mandatory args are set). + 575 + 576 Args: + 577 args: a sequence of values that were used to instantiate a Func expression. This is used + 578 to check that the provided arguments don't exceed the function argument limit. + 579 + 580 Returns: + 581 A list of error messages for all possible errors that were found. + 582 """ + 583 errors: t.List[str] = [] + 584 + 585 for k in self.args: + 586 if k not in self.arg_types: + 587 errors.append(f"Unexpected keyword: '{k}' for {self.__class__}") + 588 for k, mandatory in self.arg_types.items(): + 589 v = self.args.get(k) + 590 if mandatory and (v is None or (isinstance(v, list) and not v)): + 591 errors.append(f"Required keyword: '{k}' missing for {self.__class__}") + 592 + 593 if ( + 594 args + 595 and isinstance(self, Func) + 596 and len(args) > len(self.arg_types) + 597 and not self.is_var_len_args + 598 ): + 599 errors.append( + 600 f"The number of provided arguments ({len(args)}) is greater than " + 601 f"the maximum number of supported arguments ({len(self.arg_types)})" + 602 ) + 603 + 604 return errors + 605 + 606 def dump(self): + 607 """ + 608 Dump this Expression to a JSON-serializable dict. + 609 """ + 610 from sqlglot.serde import dump 611 - 612IntoType = t.Union[ - 613 str, - 614 t.Type[Expression], - 615 t.Collection[t.Union[str, t.Type[Expression]]], - 616] - 617 - 618 - 619class Condition(Expression): - 620 def and_(self, *expressions, dialect=None, **opts): - 621 """ - 622 AND this condition with one or multiple expressions. + 612 return dump(self) + 613 + 614 @classmethod + 615 def load(cls, obj): + 616 """ + 617 Load a dict (as returned by `Expression.dump`) into an Expression instance. + 618 """ + 619 from sqlglot.serde import load + 620 + 621 return load(obj) + 622 623 - 624 Example: - 625 >>> condition("x=1").and_("y=1").sql() - 626 'x = 1 AND y = 1' - 627 - 628 Args: - 629 *expressions (str | Expression): the SQL code strings to parse. - 630 If an `Expression` instance is passed, it will be used as-is. - 631 dialect (str): the dialect used to parse the input expression. - 632 opts (kwargs): other options to use to parse the input expressions. - 633 - 634 Returns: - 635 And: the new condition. - 636 """ - 637 return and_(self, *expressions, dialect=dialect, **opts) - 638 - 639 def or_(self, *expressions, dialect=None, **opts): - 640 """ - 641 OR this condition with one or multiple expressions. - 642 - 643 Example: - 644 >>> condition("x=1").or_("y=1").sql() - 645 'x = 1 OR y = 1' - 646 - 647 Args: - 648 *expressions (str | Expression): the SQL code strings to parse. - 649 If an `Expression` instance is passed, it will be used as-is. - 650 dialect (str): the dialect used to parse the input expression. - 651 opts (kwargs): other options to use to parse the input expressions. - 652 - 653 Returns: - 654 Or: the new condition. - 655 """ - 656 return or_(self, *expressions, dialect=dialect, **opts) - 657 - 658 def not_(self): - 659 """ - 660 Wrap this condition with NOT. - 661 - 662 Example: - 663 >>> condition("x=1").not_().sql() - 664 'NOT x = 1' - 665 - 666 Returns: - 667 Not: the new condition. - 668 """ - 669 return not_(self) - 670 - 671 - 672class Predicate(Condition): - 673 """Relationships like x = y, x > 1, x >= y.""" - 674 - 675 - 676class DerivedTable(Expression): - 677 @property - 678 def alias_column_names(self): - 679 table_alias = self.args.get("alias") - 680 if not table_alias: - 681 return [] - 682 column_list = table_alias.assert_is(TableAlias).args.get("columns") or [] - 683 return [c.name for c in column_list] - 684 - 685 @property - 686 def selects(self): - 687 alias = self.args.get("alias") - 688 - 689 if alias: - 690 return alias.columns - 691 return [] - 692 - 693 @property - 694 def named_selects(self): - 695 return [select.output_name for select in self.selects] + 624IntoType = t.Union[ + 625 str, + 626 t.Type[Expression], + 627 t.Collection[t.Union[str, t.Type[Expression]]], + 628] + 629 + 630 + 631class Condition(Expression): + 632 def and_(self, *expressions, dialect=None, **opts): + 633 """ + 634 AND this condition with one or multiple expressions. + 635 + 636 Example: + 637 >>> condition("x=1").and_("y=1").sql() + 638 'x = 1 AND y = 1' + 639 + 640 Args: + 641 *expressions (str | Expression): the SQL code strings to parse. + 642 If an `Expression` instance is passed, it will be used as-is. + 643 dialect (str): the dialect used to parse the input expression. + 644 opts (kwargs): other options to use to parse the input expressions. + 645 + 646 Returns: + 647 And: the new condition. + 648 """ + 649 return and_(self, *expressions, dialect=dialect, **opts) + 650 + 651 def or_(self, *expressions, dialect=None, **opts): + 652 """ + 653 OR this condition with one or multiple expressions. + 654 + 655 Example: + 656 >>> condition("x=1").or_("y=1").sql() + 657 'x = 1 OR y = 1' + 658 + 659 Args: + 660 *expressions (str | Expression): the SQL code strings to parse. + 661 If an `Expression` instance is passed, it will be used as-is. + 662 dialect (str): the dialect used to parse the input expression. + 663 opts (kwargs): other options to use to parse the input expressions. + 664 + 665 Returns: + 666 Or: the new condition. + 667 """ + 668 return or_(self, *expressions, dialect=dialect, **opts) + 669 + 670 def not_(self): + 671 """ + 672 Wrap this condition with NOT. + 673 + 674 Example: + 675 >>> condition("x=1").not_().sql() + 676 'NOT x = 1' + 677 + 678 Returns: + 679 Not: the new condition. + 680 """ + 681 return not_(self) + 682 + 683 + 684class Predicate(Condition): + 685 """Relationships like x = y, x > 1, x >= y.""" + 686 + 687 + 688class DerivedTable(Expression): + 689 @property + 690 def alias_column_names(self): + 691 table_alias = self.args.get("alias") + 692 if not table_alias: + 693 return [] + 694 column_list = table_alias.assert_is(TableAlias).args.get("columns") or [] + 695 return [c.name for c in column_list] 696 - 697 - 698class Unionable(Expression): - 699 def union(self, expression, distinct=True, dialect=None, **opts): - 700 """ - 701 Builds a UNION expression. - 702 - 703 Example: - 704 >>> import sqlglot - 705 >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql() - 706 'SELECT * FROM foo UNION SELECT * FROM bla' - 707 - 708 Args: - 709 expression (str | Expression): the SQL code string. - 710 If an `Expression` instance is passed, it will be used as-is. - 711 distinct (bool): set the DISTINCT flag if and only if this is true. - 712 dialect (str): the dialect used to parse the input expression. - 713 opts (kwargs): other options to use to parse the input expressions. - 714 Returns: - 715 Union: the Union expression. - 716 """ - 717 return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) - 718 - 719 def intersect(self, expression, distinct=True, dialect=None, **opts): - 720 """ - 721 Builds an INTERSECT expression. - 722 - 723 Example: - 724 >>> import sqlglot - 725 >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql() - 726 'SELECT * FROM foo INTERSECT SELECT * FROM bla' - 727 - 728 Args: - 729 expression (str | Expression): the SQL code string. - 730 If an `Expression` instance is passed, it will be used as-is. - 731 distinct (bool): set the DISTINCT flag if and only if this is true. - 732 dialect (str): the dialect used to parse the input expression. - 733 opts (kwargs): other options to use to parse the input expressions. - 734 Returns: - 735 Intersect: the Intersect expression - 736 """ - 737 return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) - 738 - 739 def except_(self, expression, distinct=True, dialect=None, **opts): - 740 """ - 741 Builds an EXCEPT expression. - 742 - 743 Example: - 744 >>> import sqlglot - 745 >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql() - 746 'SELECT * FROM foo EXCEPT SELECT * FROM bla' - 747 - 748 Args: - 749 expression (str | Expression): the SQL code string. - 750 If an `Expression` instance is passed, it will be used as-is. - 751 distinct (bool): set the DISTINCT flag if and only if this is true. - 752 dialect (str): the dialect used to parse the input expression. - 753 opts (kwargs): other options to use to parse the input expressions. - 754 Returns: - 755 Except: the Except expression - 756 """ - 757 return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) - 758 + 697 @property + 698 def selects(self): + 699 alias = self.args.get("alias") + 700 + 701 if alias: + 702 return alias.columns + 703 return [] + 704 + 705 @property + 706 def named_selects(self): + 707 return [select.output_name for select in self.selects] + 708 + 709 + 710class Unionable(Expression): + 711 def union(self, expression, distinct=True, dialect=None, **opts): + 712 """ + 713 Builds a UNION expression. + 714 + 715 Example: + 716 >>> import sqlglot + 717 >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql() + 718 'SELECT * FROM foo UNION SELECT * FROM bla' + 719 + 720 Args: + 721 expression (str | Expression): the SQL code string. + 722 If an `Expression` instance is passed, it will be used as-is. + 723 distinct (bool): set the DISTINCT flag if and only if this is true. + 724 dialect (str): the dialect used to parse the input expression. + 725 opts (kwargs): other options to use to parse the input expressions. + 726 Returns: + 727 Union: the Union expression. + 728 """ + 729 return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) + 730 + 731 def intersect(self, expression, distinct=True, dialect=None, **opts): + 732 """ + 733 Builds an INTERSECT expression. + 734 + 735 Example: + 736 >>> import sqlglot + 737 >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql() + 738 'SELECT * FROM foo INTERSECT SELECT * FROM bla' + 739 + 740 Args: + 741 expression (str | Expression): the SQL code string. + 742 If an `Expression` instance is passed, it will be used as-is. + 743 distinct (bool): set the DISTINCT flag if and only if this is true. + 744 dialect (str): the dialect used to parse the input expression. + 745 opts (kwargs): other options to use to parse the input expressions. + 746 Returns: + 747 Intersect: the Intersect expression + 748 """ + 749 return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) + 750 + 751 def except_(self, expression, distinct=True, dialect=None, **opts): + 752 """ + 753 Builds an EXCEPT expression. + 754 + 755 Example: + 756 >>> import sqlglot + 757 >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql() + 758 'SELECT * FROM foo EXCEPT SELECT * FROM bla' 759 - 760class UDTF(DerivedTable, Unionable): - 761 pass - 762 - 763 - 764class Cache(Expression): - 765 arg_types = { - 766 "with": False, - 767 "this": True, - 768 "lazy": False, - 769 "options": False, - 770 "expression": False, - 771 } - 772 - 773 - 774class Uncache(Expression): - 775 arg_types = {"this": True, "exists": False} - 776 - 777 - 778class Create(Expression): - 779 arg_types = { - 780 "with": False, - 781 "this": True, - 782 "kind": True, - 783 "expression": False, - 784 "exists": False, - 785 "properties": False, - 786 "replace": False, - 787 "unique": False, - 788 "indexes": False, - 789 "no_schema_binding": False, - 790 "begin": False, - 791 } - 792 - 793 - 794class Describe(Expression): - 795 arg_types = {"this": True, "kind": False} - 796 - 797 - 798class Set(Expression): - 799 arg_types = {"expressions": True} - 800 - 801 - 802class SetItem(Expression): - 803 arg_types = { - 804 "this": False, - 805 "expressions": False, - 806 "kind": False, - 807 "collate": False, # MySQL SET NAMES statement - 808 "global": False, - 809 } + 760 Args: + 761 expression (str | Expression): the SQL code string. + 762 If an `Expression` instance is passed, it will be used as-is. + 763 distinct (bool): set the DISTINCT flag if and only if this is true. + 764 dialect (str): the dialect used to parse the input expression. + 765 opts (kwargs): other options to use to parse the input expressions. + 766 Returns: + 767 Except: the Except expression + 768 """ + 769 return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) + 770 + 771 + 772class UDTF(DerivedTable, Unionable): + 773 pass + 774 + 775 + 776class Cache(Expression): + 777 arg_types = { + 778 "with": False, + 779 "this": True, + 780 "lazy": False, + 781 "options": False, + 782 "expression": False, + 783 } + 784 + 785 + 786class Uncache(Expression): + 787 arg_types = {"this": True, "exists": False} + 788 + 789 + 790class Create(Expression): + 791 arg_types = { + 792 "with": False, + 793 "this": True, + 794 "kind": True, + 795 "expression": False, + 796 "exists": False, + 797 "properties": False, + 798 "replace": False, + 799 "unique": False, + 800 "volatile": False, + 801 "indexes": False, + 802 "no_schema_binding": False, + 803 "begin": False, + 804 } + 805 + 806 + 807class Describe(Expression): + 808 arg_types = {"this": True, "kind": False} + 809 810 - 811 - 812class Show(Expression): - 813 arg_types = { - 814 "this": True, - 815 "target": False, - 816 "offset": False, - 817 "limit": False, - 818 "like": False, - 819 "where": False, - 820 "db": False, - 821 "full": False, - 822 "mutex": False, - 823 "query": False, - 824 "channel": False, - 825 "global": False, - 826 "log": False, - 827 "position": False, - 828 "types": False, - 829 } - 830 - 831 - 832class UserDefinedFunction(Expression): - 833 arg_types = {"this": True, "expressions": False, "wrapped": False} - 834 - 835 - 836class CharacterSet(Expression): - 837 arg_types = {"this": True, "default": False} - 838 - 839 - 840class With(Expression): - 841 arg_types = {"expressions": True, "recursive": False} - 842 - 843 @property - 844 def recursive(self) -> bool: - 845 return bool(self.args.get("recursive")) - 846 + 811class Set(Expression): + 812 arg_types = {"expressions": True} + 813 + 814 + 815class SetItem(Expression): + 816 arg_types = { + 817 "this": False, + 818 "expressions": False, + 819 "kind": False, + 820 "collate": False, # MySQL SET NAMES statement + 821 "global": False, + 822 } + 823 + 824 + 825class Show(Expression): + 826 arg_types = { + 827 "this": True, + 828 "target": False, + 829 "offset": False, + 830 "limit": False, + 831 "like": False, + 832 "where": False, + 833 "db": False, + 834 "full": False, + 835 "mutex": False, + 836 "query": False, + 837 "channel": False, + 838 "global": False, + 839 "log": False, + 840 "position": False, + 841 "types": False, + 842 } + 843 + 844 + 845class UserDefinedFunction(Expression): + 846 arg_types = {"this": True, "expressions": False, "wrapped": False} 847 - 848class WithinGroup(Expression): - 849 arg_types = {"this": True, "expression": False} - 850 + 848 + 849class CharacterSet(Expression): + 850 arg_types = {"this": True, "default": False} 851 - 852class CTE(DerivedTable): - 853 arg_types = {"this": True, "alias": True} - 854 + 852 + 853class With(Expression): + 854 arg_types = {"expressions": True, "recursive": False} 855 - 856class TableAlias(Expression): - 857 arg_types = {"this": False, "columns": False} - 858 - 859 @property - 860 def columns(self): - 861 return self.args.get("columns") or [] - 862 + 856 @property + 857 def recursive(self) -> bool: + 858 return bool(self.args.get("recursive")) + 859 + 860 + 861class WithinGroup(Expression): + 862 arg_types = {"this": True, "expression": False} 863 - 864class BitString(Condition): - 865 pass - 866 + 864 + 865class CTE(DerivedTable): + 866 arg_types = {"this": True, "alias": True} 867 - 868class HexString(Condition): - 869 pass - 870 + 868 + 869class TableAlias(Expression): + 870 arg_types = {"this": False, "columns": False} 871 - 872class ByteString(Condition): - 873 pass - 874 + 872 @property + 873 def columns(self): + 874 return self.args.get("columns") or [] 875 - 876class Column(Condition): - 877 arg_types = {"this": True, "table": False, "db": False, "catalog": False} - 878 - 879 @property - 880 def table(self) -> str: - 881 return self.text("table") - 882 - 883 @property - 884 def db(self) -> str: - 885 return self.text("db") - 886 - 887 @property - 888 def catalog(self) -> str: - 889 return self.text("catalog") - 890 - 891 @property - 892 def output_name(self) -> str: - 893 return self.name - 894 + 876 + 877class BitString(Condition): + 878 pass + 879 + 880 + 881class HexString(Condition): + 882 pass + 883 + 884 + 885class ByteString(Condition): + 886 pass + 887 + 888 + 889class Column(Condition): + 890 arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False} + 891 + 892 @property + 893 def table(self) -> str: + 894 return self.text("table") 895 - 896class ColumnDef(Expression): - 897 arg_types = { - 898 "this": True, - 899 "kind": False, - 900 "constraints": False, - 901 "exists": False, - 902 } + 896 @property + 897 def db(self) -> str: + 898 return self.text("db") + 899 + 900 @property + 901 def catalog(self) -> str: + 902 return self.text("catalog") 903 - 904 - 905class AlterColumn(Expression): - 906 arg_types = { - 907 "this": True, - 908 "dtype": False, - 909 "collate": False, - 910 "using": False, - 911 "default": False, - 912 "drop": False, - 913 } - 914 - 915 - 916class RenameTable(Expression): - 917 pass - 918 - 919 - 920class ColumnConstraint(Expression): - 921 arg_types = {"this": False, "kind": True} - 922 - 923 - 924class ColumnConstraintKind(Expression): - 925 pass - 926 + 904 @property + 905 def output_name(self) -> str: + 906 return self.name + 907 + 908 + 909class ColumnDef(Expression): + 910 arg_types = { + 911 "this": True, + 912 "kind": False, + 913 "constraints": False, + 914 "exists": False, + 915 } + 916 + 917 + 918class AlterColumn(Expression): + 919 arg_types = { + 920 "this": True, + 921 "dtype": False, + 922 "collate": False, + 923 "using": False, + 924 "default": False, + 925 "drop": False, + 926 } 927 - 928class AutoIncrementColumnConstraint(ColumnConstraintKind): - 929 pass - 930 + 928 + 929class RenameTable(Expression): + 930 pass 931 - 932class CaseSpecificColumnConstraint(ColumnConstraintKind): - 933 arg_types = {"not_": True} - 934 + 932 + 933class SetTag(Expression): + 934 arg_types = {"expressions": True, "unset": False} 935 - 936class CharacterSetColumnConstraint(ColumnConstraintKind): - 937 arg_types = {"this": True} - 938 + 936 + 937class Comment(Expression): + 938 arg_types = {"this": True, "kind": True, "expression": True, "exists": False} 939 - 940class CheckColumnConstraint(ColumnConstraintKind): - 941 pass - 942 + 940 + 941class ColumnConstraint(Expression): + 942 arg_types = {"this": False, "kind": True} 943 - 944class CollateColumnConstraint(ColumnConstraintKind): - 945 pass - 946 + 944 + 945class ColumnConstraintKind(Expression): + 946 pass 947 - 948class CommentColumnConstraint(ColumnConstraintKind): - 949 pass - 950 + 948 + 949class AutoIncrementColumnConstraint(ColumnConstraintKind): + 950 pass 951 - 952class CompressColumnConstraint(ColumnConstraintKind): - 953 pass - 954 + 952 + 953class CaseSpecificColumnConstraint(ColumnConstraintKind): + 954 arg_types = {"not_": True} 955 - 956class DateFormatColumnConstraint(ColumnConstraintKind): - 957 arg_types = {"this": True} - 958 + 956 + 957class CharacterSetColumnConstraint(ColumnConstraintKind): + 958 arg_types = {"this": True} 959 - 960class DefaultColumnConstraint(ColumnConstraintKind): - 961 pass - 962 + 960 + 961class CheckColumnConstraint(ColumnConstraintKind): + 962 pass 963 - 964class EncodeColumnConstraint(ColumnConstraintKind): - 965 pass - 966 + 964 + 965class CollateColumnConstraint(ColumnConstraintKind): + 966 pass 967 - 968class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind): - 969 # this: True -> ALWAYS, this: False -> BY DEFAULT - 970 arg_types = { - 971 "this": False, - 972 "start": False, - 973 "increment": False, - 974 "minvalue": False, - 975 "maxvalue": False, - 976 "cycle": False, - 977 } - 978 + 968 + 969class CommentColumnConstraint(ColumnConstraintKind): + 970 pass + 971 + 972 + 973class CompressColumnConstraint(ColumnConstraintKind): + 974 pass + 975 + 976 + 977class DateFormatColumnConstraint(ColumnConstraintKind): + 978 arg_types = {"this": True} 979 - 980class InlineLengthColumnConstraint(ColumnConstraintKind): - 981 pass - 982 + 980 + 981class DefaultColumnConstraint(ColumnConstraintKind): + 982 pass 983 - 984class NotNullColumnConstraint(ColumnConstraintKind): - 985 arg_types = {"allow_null": False} - 986 + 984 + 985class EncodeColumnConstraint(ColumnConstraintKind): + 986 pass 987 - 988class PrimaryKeyColumnConstraint(ColumnConstraintKind): - 989 arg_types = {"desc": False} - 990 - 991 - 992class TitleColumnConstraint(ColumnConstraintKind): - 993 pass - 994 - 995 - 996class UniqueColumnConstraint(ColumnConstraintKind): - 997 arg_types: t.Dict[str, t.Any] = {} - 998 + 988 + 989class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind): + 990 # this: True -> ALWAYS, this: False -> BY DEFAULT + 991 arg_types = { + 992 "this": False, + 993 "start": False, + 994 "increment": False, + 995 "minvalue": False, + 996 "maxvalue": False, + 997 "cycle": False, + 998 } 999 -1000class UppercaseColumnConstraint(ColumnConstraintKind): -1001 arg_types: t.Dict[str, t.Any] = {} -1002 +1000 +1001class InlineLengthColumnConstraint(ColumnConstraintKind): +1002 pass 1003 -1004class PathColumnConstraint(ColumnConstraintKind): -1005 pass -1006 +1004 +1005class NotNullColumnConstraint(ColumnConstraintKind): +1006 arg_types = {"allow_null": False} 1007 -1008class Constraint(Expression): -1009 arg_types = {"this": True, "expressions": True} -1010 +1008 +1009class PrimaryKeyColumnConstraint(ColumnConstraintKind): +1010 arg_types = {"desc": False} 1011 -1012class Delete(Expression): -1013 arg_types = {"with": False, "this": False, "using": False, "where": False} -1014 +1012 +1013class TitleColumnConstraint(ColumnConstraintKind): +1014 pass 1015 -1016class Drop(Expression): -1017 arg_types = { -1018 "this": False, -1019 "kind": False, -1020 "exists": False, -1021 "temporary": False, -1022 "materialized": False, -1023 "cascade": False, -1024 } -1025 -1026 -1027class Filter(Expression): -1028 arg_types = {"this": True, "expression": True} -1029 -1030 -1031class Check(Expression): -1032 pass -1033 -1034 -1035class Directory(Expression): -1036 # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html -1037 arg_types = {"this": True, "local": False, "row_format": False} -1038 -1039 -1040class ForeignKey(Expression): -1041 arg_types = { -1042 "expressions": True, -1043 "reference": False, -1044 "delete": False, -1045 "update": False, -1046 } +1016 +1017class UniqueColumnConstraint(ColumnConstraintKind): +1018 arg_types: t.Dict[str, t.Any] = {} +1019 +1020 +1021class UppercaseColumnConstraint(ColumnConstraintKind): +1022 arg_types: t.Dict[str, t.Any] = {} +1023 +1024 +1025class PathColumnConstraint(ColumnConstraintKind): +1026 pass +1027 +1028 +1029class Constraint(Expression): +1030 arg_types = {"this": True, "expressions": True} +1031 +1032 +1033class Delete(Expression): +1034 arg_types = {"with": False, "this": False, "using": False, "where": False} +1035 +1036 +1037class Drop(Expression): +1038 arg_types = { +1039 "this": False, +1040 "kind": False, +1041 "exists": False, +1042 "temporary": False, +1043 "materialized": False, +1044 "cascade": False, +1045 } +1046 1047 -1048 -1049class PrimaryKey(Expression): -1050 arg_types = {"expressions": True, "options": False} +1048class Filter(Expression): +1049 arg_types = {"this": True, "expression": True} +1050 1051 -1052 -1053class Unique(Expression): -1054 arg_types = {"expressions": True} +1052class Check(Expression): +1053 pass +1054 1055 -1056 -1057# https://www.postgresql.org/docs/9.1/sql-selectinto.html -1058# https://docs.aws.amazon.com/redshift/latest/dg/r_SELECT_INTO.html#r_SELECT_INTO-examples -1059class Into(Expression): -1060 arg_types = {"this": True, "temporary": False, "unlogged": False} -1061 -1062 -1063class From(Expression): -1064 arg_types = {"expressions": True} -1065 -1066 -1067class Having(Expression): -1068 pass +1056class Directory(Expression): +1057 # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html +1058 arg_types = {"this": True, "local": False, "row_format": False} +1059 +1060 +1061class ForeignKey(Expression): +1062 arg_types = { +1063 "expressions": True, +1064 "reference": False, +1065 "delete": False, +1066 "update": False, +1067 } +1068 1069 -1070 -1071class Hint(Expression): -1072 arg_types = {"expressions": True} +1070class PrimaryKey(Expression): +1071 arg_types = {"expressions": True, "options": False} +1072 1073 -1074 -1075class JoinHint(Expression): -1076 arg_types = {"this": True, "expressions": True} +1074class Unique(Expression): +1075 arg_types = {"expressions": True} +1076 1077 -1078 -1079class Identifier(Expression): -1080 arg_types = {"this": True, "quoted": False} -1081 -1082 @property -1083 def quoted(self): -1084 return bool(self.args.get("quoted")) -1085 -1086 def __eq__(self, other): -1087 return isinstance(other, self.__class__) and _norm_arg(self.this) == _norm_arg(other.this) -1088 -1089 def __hash__(self): -1090 return hash((self.key, self.this.lower())) +1078# https://www.postgresql.org/docs/9.1/sql-selectinto.html +1079# https://docs.aws.amazon.com/redshift/latest/dg/r_SELECT_INTO.html#r_SELECT_INTO-examples +1080class Into(Expression): +1081 arg_types = {"this": True, "temporary": False, "unlogged": False} +1082 +1083 +1084class From(Expression): +1085 arg_types = {"expressions": True} +1086 +1087 +1088class Having(Expression): +1089 pass +1090 1091 -1092 @property -1093 def output_name(self): -1094 return self.name +1092class Hint(Expression): +1093 arg_types = {"expressions": True} +1094 1095 -1096 -1097class Index(Expression): -1098 arg_types = { -1099 "this": False, -1100 "table": False, -1101 "where": False, -1102 "columns": False, -1103 "unique": False, -1104 "primary": False, -1105 "amp": False, # teradata -1106 } -1107 -1108 -1109class Insert(Expression): -1110 arg_types = { -1111 "with": False, -1112 "this": True, -1113 "expression": False, -1114 "overwrite": False, -1115 "exists": False, -1116 "partition": False, -1117 "alternative": False, -1118 } -1119 -1120 -1121# https://dev.mysql.com/doc/refman/8.0/en/charset-introducer.html -1122class Introducer(Expression): -1123 arg_types = {"this": True, "expression": True} -1124 -1125 -1126# national char, like n'utf8' -1127class National(Expression): -1128 pass +1096class JoinHint(Expression): +1097 arg_types = {"this": True, "expressions": True} +1098 +1099 +1100class Identifier(Expression): +1101 arg_types = {"this": True, "quoted": False} +1102 +1103 @property +1104 def quoted(self): +1105 return bool(self.args.get("quoted")) +1106 +1107 def __eq__(self, other): +1108 return isinstance(other, self.__class__) and _norm_arg(self.this) == _norm_arg(other.this) +1109 +1110 def __hash__(self): +1111 return hash((self.key, self.this.lower())) +1112 +1113 @property +1114 def output_name(self): +1115 return self.name +1116 +1117 +1118class Index(Expression): +1119 arg_types = { +1120 "this": False, +1121 "table": False, +1122 "where": False, +1123 "columns": False, +1124 "unique": False, +1125 "primary": False, +1126 "amp": False, # teradata +1127 } +1128 1129 -1130 -1131class LoadData(Expression): -1132 arg_types = { +1130class Insert(Expression): +1131 arg_types = { +1132 "with": False, 1133 "this": True, -1134 "local": False, +1134 "expression": False, 1135 "overwrite": False, -1136 "inpath": True, +1136 "exists": False, 1137 "partition": False, -1138 "input_format": False, -1139 "serde": False, -1140 } +1138 "alternative": False, +1139 } +1140 1141 -1142 -1143class Partition(Expression): -1144 arg_types = {"expressions": True} +1142# https://dev.mysql.com/doc/refman/8.0/en/charset-introducer.html +1143class Introducer(Expression): +1144 arg_types = {"this": True, "expression": True} 1145 1146 -1147class Fetch(Expression): -1148 arg_types = {"direction": False, "count": False} -1149 +1147# national char, like n'utf8' +1148class National(Expression): +1149 pass 1150 -1151class Group(Expression): -1152 arg_types = { -1153 "expressions": False, -1154 "grouping_sets": False, -1155 "cube": False, -1156 "rollup": False, -1157 } -1158 -1159 -1160class Lambda(Expression): -1161 arg_types = {"this": True, "expressions": True} +1151 +1152class LoadData(Expression): +1153 arg_types = { +1154 "this": True, +1155 "local": False, +1156 "overwrite": False, +1157 "inpath": True, +1158 "partition": False, +1159 "input_format": False, +1160 "serde": False, +1161 } 1162 1163 -1164class Limit(Expression): -1165 arg_types = {"this": False, "expression": True} +1164class Partition(Expression): +1165 arg_types = {"expressions": True} 1166 1167 -1168class Literal(Condition): -1169 arg_types = {"this": True, "is_string": True} +1168class Fetch(Expression): +1169 arg_types = {"direction": False, "count": False} 1170 -1171 def __eq__(self, other): -1172 return ( -1173 isinstance(other, Literal) -1174 and self.this == other.this -1175 and self.args["is_string"] == other.args["is_string"] -1176 ) -1177 -1178 def __hash__(self): -1179 return hash((self.key, self.this, self.args["is_string"])) +1171 +1172class Group(Expression): +1173 arg_types = { +1174 "expressions": False, +1175 "grouping_sets": False, +1176 "cube": False, +1177 "rollup": False, +1178 } +1179 1180 -1181 @classmethod -1182 def number(cls, number) -> Literal: -1183 return cls(this=str(number), is_string=False) +1181class Lambda(Expression): +1182 arg_types = {"this": True, "expressions": True} +1183 1184 -1185 @classmethod -1186 def string(cls, string) -> Literal: -1187 return cls(this=str(string), is_string=True) +1185class Limit(Expression): +1186 arg_types = {"this": False, "expression": True} +1187 1188 -1189 @property -1190 def output_name(self): -1191 return self.name -1192 -1193 -1194class Join(Expression): -1195 arg_types = { -1196 "this": True, -1197 "on": False, -1198 "side": False, -1199 "kind": False, -1200 "using": False, -1201 "natural": False, -1202 } -1203 -1204 @property -1205 def kind(self): -1206 return self.text("kind").upper() -1207 -1208 @property -1209 def side(self): -1210 return self.text("side").upper() -1211 -1212 @property -1213 def alias_or_name(self): -1214 return self.this.alias_or_name -1215 -1216 def on(self, *expressions, append=True, dialect=None, copy=True, **opts): -1217 """ -1218 Append to or set the ON expressions. -1219 -1220 Example: -1221 >>> import sqlglot -1222 >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql() -1223 'JOIN x ON y = 1' +1189class Literal(Condition): +1190 arg_types = {"this": True, "is_string": True} +1191 +1192 def __eq__(self, other): +1193 return ( +1194 isinstance(other, Literal) +1195 and self.this == other.this +1196 and self.args["is_string"] == other.args["is_string"] +1197 ) +1198 +1199 def __hash__(self): +1200 return hash((self.key, self.this, self.args["is_string"])) +1201 +1202 @classmethod +1203 def number(cls, number) -> Literal: +1204 return cls(this=str(number), is_string=False) +1205 +1206 @classmethod +1207 def string(cls, string) -> Literal: +1208 return cls(this=str(string), is_string=True) +1209 +1210 @property +1211 def output_name(self): +1212 return self.name +1213 +1214 +1215class Join(Expression): +1216 arg_types = { +1217 "this": True, +1218 "on": False, +1219 "side": False, +1220 "kind": False, +1221 "using": False, +1222 "natural": False, +1223 } 1224 -1225 Args: -1226 *expressions (str | Expression): the SQL code strings to parse. -1227 If an `Expression` instance is passed, it will be used as-is. -1228 Multiple expressions are combined with an AND operator. -1229 append (bool): if `True`, AND the new expressions to any existing expression. -1230 Otherwise, this resets the expression. -1231 dialect (str): the dialect used to parse the input expressions. -1232 copy (bool): if `False`, modify this expression instance in-place. -1233 opts (kwargs): other options to use to parse the input expressions. -1234 -1235 Returns: -1236 Join: the modified join expression. -1237 """ -1238 join = _apply_conjunction_builder( -1239 *expressions, -1240 instance=self, -1241 arg="on", -1242 append=append, -1243 dialect=dialect, -1244 copy=copy, -1245 **opts, -1246 ) -1247 -1248 if join.kind == "CROSS": -1249 join.set("kind", None) -1250 -1251 return join -1252 -1253 def using(self, *expressions, append=True, dialect=None, copy=True, **opts): -1254 """ -1255 Append to or set the USING expressions. -1256 -1257 Example: -1258 >>> import sqlglot -1259 >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql() -1260 'JOIN x USING (foo, bla)' -1261 -1262 Args: -1263 *expressions (str | Expression): the SQL code strings to parse. -1264 If an `Expression` instance is passed, it will be used as-is. -1265 append (bool): if `True`, concatenate the new expressions to the existing "using" list. -1266 Otherwise, this resets the expression. -1267 dialect (str): the dialect used to parse the input expressions. -1268 copy (bool): if `False`, modify this expression instance in-place. -1269 opts (kwargs): other options to use to parse the input expressions. -1270 -1271 Returns: -1272 Join: the modified join expression. -1273 """ -1274 join = _apply_list_builder( -1275 *expressions, -1276 instance=self, -1277 arg="using", -1278 append=append, -1279 dialect=dialect, -1280 copy=copy, -1281 **opts, -1282 ) -1283 -1284 if join.kind == "CROSS": -1285 join.set("kind", None) -1286 -1287 return join -1288 -1289 -1290class Lateral(UDTF): -1291 arg_types = {"this": True, "view": False, "outer": False, "alias": False} -1292 -1293 -1294class MatchRecognize(Expression): -1295 arg_types = { -1296 "partition_by": False, -1297 "order": False, -1298 "measures": False, -1299 "rows": False, -1300 "after": False, -1301 "pattern": False, -1302 "define": False, -1303 } +1225 @property +1226 def kind(self): +1227 return self.text("kind").upper() +1228 +1229 @property +1230 def side(self): +1231 return self.text("side").upper() +1232 +1233 @property +1234 def alias_or_name(self): +1235 return self.this.alias_or_name +1236 +1237 def on(self, *expressions, append=True, dialect=None, copy=True, **opts): +1238 """ +1239 Append to or set the ON expressions. +1240 +1241 Example: +1242 >>> import sqlglot +1243 >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql() +1244 'JOIN x ON y = 1' +1245 +1246 Args: +1247 *expressions (str | Expression): the SQL code strings to parse. +1248 If an `Expression` instance is passed, it will be used as-is. +1249 Multiple expressions are combined with an AND operator. +1250 append (bool): if `True`, AND the new expressions to any existing expression. +1251 Otherwise, this resets the expression. +1252 dialect (str): the dialect used to parse the input expressions. +1253 copy (bool): if `False`, modify this expression instance in-place. +1254 opts (kwargs): other options to use to parse the input expressions. +1255 +1256 Returns: +1257 Join: the modified join expression. +1258 """ +1259 join = _apply_conjunction_builder( +1260 *expressions, +1261 instance=self, +1262 arg="on", +1263 append=append, +1264 dialect=dialect, +1265 copy=copy, +1266 **opts, +1267 ) +1268 +1269 if join.kind == "CROSS": +1270 join.set("kind", None) +1271 +1272 return join +1273 +1274 def using(self, *expressions, append=True, dialect=None, copy=True, **opts): +1275 """ +1276 Append to or set the USING expressions. +1277 +1278 Example: +1279 >>> import sqlglot +1280 >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql() +1281 'JOIN x USING (foo, bla)' +1282 +1283 Args: +1284 *expressions (str | Expression): the SQL code strings to parse. +1285 If an `Expression` instance is passed, it will be used as-is. +1286 append (bool): if `True`, concatenate the new expressions to the existing "using" list. +1287 Otherwise, this resets the expression. +1288 dialect (str): the dialect used to parse the input expressions. +1289 copy (bool): if `False`, modify this expression instance in-place. +1290 opts (kwargs): other options to use to parse the input expressions. +1291 +1292 Returns: +1293 Join: the modified join expression. +1294 """ +1295 join = _apply_list_builder( +1296 *expressions, +1297 instance=self, +1298 arg="using", +1299 append=append, +1300 dialect=dialect, +1301 copy=copy, +1302 **opts, +1303 ) 1304 -1305 -1306# Clickhouse FROM FINAL modifier -1307# https://clickhouse.com/docs/en/sql-reference/statements/select/from/#final-modifier -1308class Final(Expression): -1309 pass +1305 if join.kind == "CROSS": +1306 join.set("kind", None) +1307 +1308 return join +1309 1310 -1311 -1312class Offset(Expression): -1313 arg_types = {"this": False, "expression": True} +1311class Lateral(UDTF): +1312 arg_types = {"this": True, "view": False, "outer": False, "alias": False} +1313 1314 -1315 -1316class Order(Expression): -1317 arg_types = {"this": False, "expressions": True} -1318 -1319 -1320# hive specific sorts -1321# https://cwiki.apache.org/confluence/display/Hive/LanguageManual+SortBy -1322class Cluster(Order): -1323 pass -1324 +1315class MatchRecognize(Expression): +1316 arg_types = { +1317 "partition_by": False, +1318 "order": False, +1319 "measures": False, +1320 "rows": False, +1321 "after": False, +1322 "pattern": False, +1323 "define": False, +1324 } 1325 -1326class Distribute(Order): -1327 pass -1328 -1329 -1330class Sort(Order): -1331 pass +1326 +1327# Clickhouse FROM FINAL modifier +1328# https://clickhouse.com/docs/en/sql-reference/statements/select/from/#final-modifier +1329class Final(Expression): +1330 pass +1331 1332 -1333 -1334class Ordered(Expression): -1335 arg_types = {"this": True, "desc": True, "nulls_first": True} +1333class Offset(Expression): +1334 arg_types = {"this": False, "expression": True} +1335 1336 -1337 -1338class Property(Expression): -1339 arg_types = {"this": True, "value": True} +1337class Order(Expression): +1338 arg_types = {"this": False, "expressions": True} +1339 1340 -1341 -1342class AfterJournalProperty(Property): -1343 arg_types = {"no": True, "dual": False, "local": False} -1344 +1341# hive specific sorts +1342# https://cwiki.apache.org/confluence/display/Hive/LanguageManual+SortBy +1343class Cluster(Order): +1344 pass 1345 -1346class AlgorithmProperty(Property): -1347 arg_types = {"this": True} -1348 +1346 +1347class Distribute(Order): +1348 pass 1349 -1350class AutoIncrementProperty(Property): -1351 arg_types = {"this": True} -1352 +1350 +1351class Sort(Order): +1352 pass 1353 -1354class BlockCompressionProperty(Property): -1355 arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True} -1356 +1354 +1355class Ordered(Expression): +1356 arg_types = {"this": True, "desc": True, "nulls_first": True} 1357 -1358class CharacterSetProperty(Property): -1359 arg_types = {"this": True, "default": True} -1360 +1358 +1359class Property(Expression): +1360 arg_types = {"this": True, "value": True} 1361 -1362class ChecksumProperty(Property): -1363 arg_types = {"on": False, "default": False} -1364 +1362 +1363class AfterJournalProperty(Property): +1364 arg_types = {"no": True, "dual": False, "local": False} 1365 -1366class CollateProperty(Property): -1367 arg_types = {"this": True} -1368 +1366 +1367class AlgorithmProperty(Property): +1368 arg_types = {"this": True} 1369 -1370class DataBlocksizeProperty(Property): -1371 arg_types = {"size": False, "units": False, "min": False, "default": False} -1372 +1370 +1371class AutoIncrementProperty(Property): +1372 arg_types = {"this": True} 1373 -1374class DefinerProperty(Property): -1375 arg_types = {"this": True} -1376 +1374 +1375class BlockCompressionProperty(Property): +1376 arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True} 1377 -1378class DistKeyProperty(Property): -1379 arg_types = {"this": True} -1380 +1378 +1379class CharacterSetProperty(Property): +1380 arg_types = {"this": True, "default": True} 1381 -1382class DistStyleProperty(Property): -1383 arg_types = {"this": True} -1384 +1382 +1383class ChecksumProperty(Property): +1384 arg_types = {"on": False, "default": False} 1385 -1386class EngineProperty(Property): -1387 arg_types = {"this": True} -1388 +1386 +1387class CollateProperty(Property): +1388 arg_types = {"this": True} 1389 -1390class ExecuteAsProperty(Property): -1391 arg_types = {"this": True} -1392 +1390 +1391class DataBlocksizeProperty(Property): +1392 arg_types = {"size": False, "units": False, "min": False, "default": False} 1393 -1394class ExternalProperty(Property): -1395 arg_types = {"this": False} -1396 +1394 +1395class DefinerProperty(Property): +1396 arg_types = {"this": True} 1397 -1398class FallbackProperty(Property): -1399 arg_types = {"no": True, "protection": False} -1400 +1398 +1399class DistKeyProperty(Property): +1400 arg_types = {"this": True} 1401 -1402class FileFormatProperty(Property): -1403 arg_types = {"this": True} -1404 +1402 +1403class DistStyleProperty(Property): +1404 arg_types = {"this": True} 1405 -1406class FreespaceProperty(Property): -1407 arg_types = {"this": True, "percent": False} -1408 +1406 +1407class EngineProperty(Property): +1408 arg_types = {"this": True} 1409 -1410class IsolatedLoadingProperty(Property): -1411 arg_types = { -1412 "no": True, -1413 "concurrent": True, -1414 "for_all": True, -1415 "for_insert": True, -1416 "for_none": True, -1417 } +1410 +1411class ExecuteAsProperty(Property): +1412 arg_types = {"this": True} +1413 +1414 +1415class ExternalProperty(Property): +1416 arg_types = {"this": False} +1417 1418 -1419 -1420class JournalProperty(Property): -1421 arg_types = {"no": True, "dual": False, "before": False} +1419class FallbackProperty(Property): +1420 arg_types = {"no": True, "protection": False} +1421 1422 -1423 -1424class LanguageProperty(Property): -1425 arg_types = {"this": True} +1423class FileFormatProperty(Property): +1424 arg_types = {"this": True} +1425 1426 -1427 -1428class LikeProperty(Property): -1429 arg_types = {"this": True, "expressions": False} +1427class FreespaceProperty(Property): +1428 arg_types = {"this": True, "percent": False} +1429 1430 -1431 -1432class LocationProperty(Property): -1433 arg_types = {"this": True} -1434 -1435 -1436class LockingProperty(Property): -1437 arg_types = { -1438 "this": False, -1439 "kind": True, -1440 "for_or_in": True, -1441 "lock_type": True, -1442 "override": False, -1443 } +1431class IsolatedLoadingProperty(Property): +1432 arg_types = { +1433 "no": True, +1434 "concurrent": True, +1435 "for_all": True, +1436 "for_insert": True, +1437 "for_none": True, +1438 } +1439 +1440 +1441class JournalProperty(Property): +1442 arg_types = {"no": True, "dual": False, "before": False} +1443 1444 -1445 -1446class LogProperty(Property): -1447 arg_types = {"no": True} +1445class LanguageProperty(Property): +1446 arg_types = {"this": True} +1447 1448 -1449 -1450class MaterializedProperty(Property): -1451 arg_types = {"this": False} +1449class LikeProperty(Property): +1450 arg_types = {"this": True, "expressions": False} +1451 1452 -1453 -1454class MergeBlockRatioProperty(Property): -1455 arg_types = {"this": False, "no": False, "default": False, "percent": False} +1453class LocationProperty(Property): +1454 arg_types = {"this": True} +1455 1456 -1457 -1458class NoPrimaryIndexProperty(Property): -1459 arg_types = {"this": False} -1460 -1461 -1462class OnCommitProperty(Property): -1463 arg_type = {"this": False} -1464 +1457class LockingProperty(Property): +1458 arg_types = { +1459 "this": False, +1460 "kind": True, +1461 "for_or_in": True, +1462 "lock_type": True, +1463 "override": False, +1464 } 1465 -1466class PartitionedByProperty(Property): -1467 arg_types = {"this": True} -1468 +1466 +1467class LogProperty(Property): +1468 arg_types = {"no": True} 1469 -1470class ReturnsProperty(Property): -1471 arg_types = {"this": True, "is_table": False, "table": False} -1472 +1470 +1471class MaterializedProperty(Property): +1472 arg_types = {"this": False} 1473 -1474class RowFormatDelimitedProperty(Property): -1475 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml -1476 arg_types = { -1477 "fields": False, -1478 "escaped": False, -1479 "collection_items": False, -1480 "map_keys": False, -1481 "lines": False, -1482 "null": False, -1483 "serde": False, -1484 } +1474 +1475class MergeBlockRatioProperty(Property): +1476 arg_types = {"this": False, "no": False, "default": False, "percent": False} +1477 +1478 +1479class NoPrimaryIndexProperty(Property): +1480 arg_types = {"this": False} +1481 +1482 +1483class OnCommitProperty(Property): +1484 arg_type = {"this": False} 1485 1486 -1487class RowFormatSerdeProperty(Property): +1487class PartitionedByProperty(Property): 1488 arg_types = {"this": True} 1489 1490 -1491class SchemaCommentProperty(Property): -1492 arg_types = {"this": True} +1491class ReturnsProperty(Property): +1492 arg_types = {"this": True, "is_table": False, "table": False} 1493 1494 -1495class SerdeProperties(Property): -1496 arg_types = {"expressions": True} -1497 -1498 -1499class SetProperty(Property): -1500 arg_types = {"multi": True} -1501 -1502 -1503class SortKeyProperty(Property): -1504 arg_types = {"this": True, "compound": False} -1505 +1495class RowFormatDelimitedProperty(Property): +1496 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml +1497 arg_types = { +1498 "fields": False, +1499 "escaped": False, +1500 "collection_items": False, +1501 "map_keys": False, +1502 "lines": False, +1503 "null": False, +1504 "serde": False, +1505 } 1506 -1507class SqlSecurityProperty(Property): -1508 arg_types = {"definer": True} -1509 +1507 +1508class RowFormatSerdeProperty(Property): +1509 arg_types = {"this": True} 1510 -1511class TableFormatProperty(Property): -1512 arg_types = {"this": True} -1513 +1511 +1512class SchemaCommentProperty(Property): +1513 arg_types = {"this": True} 1514 -1515class TemporaryProperty(Property): -1516 arg_types = {"global_": True} -1517 +1515 +1516class SerdeProperties(Property): +1517 arg_types = {"expressions": True} 1518 -1519class TransientProperty(Property): -1520 arg_types = {"this": False} -1521 +1519 +1520class SetProperty(Property): +1521 arg_types = {"multi": True} 1522 -1523class VolatilityProperty(Property): -1524 arg_types = {"this": True} -1525 +1523 +1524class SortKeyProperty(Property): +1525 arg_types = {"this": True, "compound": False} 1526 -1527class WithDataProperty(Property): -1528 arg_types = {"no": True, "statistics": False} -1529 +1527 +1528class SqlSecurityProperty(Property): +1529 arg_types = {"definer": True} 1530 -1531class WithJournalTableProperty(Property): -1532 arg_types = {"this": True} -1533 +1531 +1532class TableFormatProperty(Property): +1533 arg_types = {"this": True} 1534 -1535class Properties(Expression): -1536 arg_types = {"expressions": True} -1537 -1538 NAME_TO_PROPERTY = { -1539 "ALGORITHM": AlgorithmProperty, -1540 "AUTO_INCREMENT": AutoIncrementProperty, -1541 "CHARACTER SET": CharacterSetProperty, -1542 "COLLATE": CollateProperty, -1543 "COMMENT": SchemaCommentProperty, -1544 "DEFINER": DefinerProperty, -1545 "DISTKEY": DistKeyProperty, -1546 "DISTSTYLE": DistStyleProperty, -1547 "ENGINE": EngineProperty, -1548 "EXECUTE AS": ExecuteAsProperty, -1549 "FORMAT": FileFormatProperty, -1550 "LANGUAGE": LanguageProperty, -1551 "LOCATION": LocationProperty, -1552 "PARTITIONED_BY": PartitionedByProperty, -1553 "RETURNS": ReturnsProperty, -1554 "SORTKEY": SortKeyProperty, -1555 "TABLE_FORMAT": TableFormatProperty, -1556 } -1557 -1558 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} -1559 -1560 # CREATE property locations -1561 # Form: schema specified -1562 # create [POST_CREATE] -1563 # table a [POST_NAME] -1564 # (b int) [POST_SCHEMA] -1565 # with ([POST_WITH]) -1566 # index (b) [POST_INDEX] -1567 # -1568 # Form: alias selection -1569 # create [POST_CREATE] -1570 # table a [POST_NAME] -1571 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] -1572 # index (c) [POST_INDEX] -1573 class Location(AutoName): -1574 POST_CREATE = auto() -1575 POST_NAME = auto() -1576 POST_SCHEMA = auto() -1577 POST_WITH = auto() -1578 POST_ALIAS = auto() -1579 POST_EXPRESSION = auto() -1580 POST_INDEX = auto() -1581 UNSUPPORTED = auto() -1582 -1583 @classmethod -1584 def from_dict(cls, properties_dict) -> Properties: -1585 expressions = [] -1586 for key, value in properties_dict.items(): -1587 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) -1588 if property_cls: -1589 expressions.append(property_cls(this=convert(value))) -1590 else: -1591 expressions.append(Property(this=Literal.string(key), value=convert(value))) -1592 -1593 return cls(expressions=expressions) -1594 -1595 -1596class Qualify(Expression): -1597 pass -1598 -1599 -1600# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql -1601class Return(Expression): -1602 pass +1535 +1536class TemporaryProperty(Property): +1537 arg_types = {"global_": True} +1538 +1539 +1540class TransientProperty(Property): +1541 arg_types = {"this": False} +1542 +1543 +1544class VolatilityProperty(Property): +1545 arg_types = {"this": True} +1546 +1547 +1548class WithDataProperty(Property): +1549 arg_types = {"no": True, "statistics": False} +1550 +1551 +1552class WithJournalTableProperty(Property): +1553 arg_types = {"this": True} +1554 +1555 +1556class Properties(Expression): +1557 arg_types = {"expressions": True} +1558 +1559 NAME_TO_PROPERTY = { +1560 "ALGORITHM": AlgorithmProperty, +1561 "AUTO_INCREMENT": AutoIncrementProperty, +1562 "CHARACTER SET": CharacterSetProperty, +1563 "COLLATE": CollateProperty, +1564 "COMMENT": SchemaCommentProperty, +1565 "DEFINER": DefinerProperty, +1566 "DISTKEY": DistKeyProperty, +1567 "DISTSTYLE": DistStyleProperty, +1568 "ENGINE": EngineProperty, +1569 "EXECUTE AS": ExecuteAsProperty, +1570 "FORMAT": FileFormatProperty, +1571 "LANGUAGE": LanguageProperty, +1572 "LOCATION": LocationProperty, +1573 "PARTITIONED_BY": PartitionedByProperty, +1574 "RETURNS": ReturnsProperty, +1575 "SORTKEY": SortKeyProperty, +1576 "TABLE_FORMAT": TableFormatProperty, +1577 } +1578 +1579 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} +1580 +1581 # CREATE property locations +1582 # Form: schema specified +1583 # create [POST_CREATE] +1584 # table a [POST_NAME] +1585 # (b int) [POST_SCHEMA] +1586 # with ([POST_WITH]) +1587 # index (b) [POST_INDEX] +1588 # +1589 # Form: alias selection +1590 # create [POST_CREATE] +1591 # table a [POST_NAME] +1592 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] +1593 # index (c) [POST_INDEX] +1594 class Location(AutoName): +1595 POST_CREATE = auto() +1596 POST_NAME = auto() +1597 POST_SCHEMA = auto() +1598 POST_WITH = auto() +1599 POST_ALIAS = auto() +1600 POST_EXPRESSION = auto() +1601 POST_INDEX = auto() +1602 UNSUPPORTED = auto() 1603 -1604 -1605class Reference(Expression): -1606 arg_types = {"this": True, "expressions": False, "options": False} -1607 -1608 -1609class Tuple(Expression): -1610 arg_types = {"expressions": False} -1611 -1612 -1613class Subqueryable(Unionable): -1614 def subquery(self, alias=None, copy=True) -> Subquery: -1615 """ -1616 Convert this expression to an aliased expression that can be used as a Subquery. -1617 -1618 Example: -1619 >>> subquery = Select().select("x").from_("tbl").subquery() -1620 >>> Select().select("x").from_(subquery).sql() -1621 'SELECT x FROM (SELECT x FROM tbl)' -1622 -1623 Args: -1624 alias (str | Identifier): an optional alias for the subquery -1625 copy (bool): if `False`, modify this expression instance in-place. -1626 -1627 Returns: -1628 Alias: the subquery -1629 """ -1630 instance = _maybe_copy(self, copy) -1631 return Subquery( -1632 this=instance, -1633 alias=TableAlias(this=to_identifier(alias)), -1634 ) -1635 -1636 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -1637 raise NotImplementedError +1604 @classmethod +1605 def from_dict(cls, properties_dict) -> Properties: +1606 expressions = [] +1607 for key, value in properties_dict.items(): +1608 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) +1609 if property_cls: +1610 expressions.append(property_cls(this=convert(value))) +1611 else: +1612 expressions.append(Property(this=Literal.string(key), value=convert(value))) +1613 +1614 return cls(expressions=expressions) +1615 +1616 +1617class Qualify(Expression): +1618 pass +1619 +1620 +1621# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql +1622class Return(Expression): +1623 pass +1624 +1625 +1626class Reference(Expression): +1627 arg_types = {"this": True, "expressions": False, "options": False} +1628 +1629 +1630class Tuple(Expression): +1631 arg_types = {"expressions": False} +1632 +1633 +1634class Subqueryable(Unionable): +1635 def subquery(self, alias=None, copy=True) -> Subquery: +1636 """ +1637 Convert this expression to an aliased expression that can be used as a Subquery. 1638 -1639 @property -1640 def ctes(self): -1641 with_ = self.args.get("with") -1642 if not with_: -1643 return [] -1644 return with_.expressions -1645 -1646 @property -1647 def selects(self): -1648 raise NotImplementedError("Subqueryable objects must implement `selects`") -1649 -1650 @property -1651 def named_selects(self): -1652 raise NotImplementedError("Subqueryable objects must implement `named_selects`") -1653 -1654 def with_( -1655 self, -1656 alias, -1657 as_, -1658 recursive=None, -1659 append=True, -1660 dialect=None, -1661 copy=True, -1662 **opts, -1663 ): -1664 """ -1665 Append to or set the common table expressions. +1639 Example: +1640 >>> subquery = Select().select("x").from_("tbl").subquery() +1641 >>> Select().select("x").from_(subquery).sql() +1642 'SELECT x FROM (SELECT x FROM tbl)' +1643 +1644 Args: +1645 alias (str | Identifier): an optional alias for the subquery +1646 copy (bool): if `False`, modify this expression instance in-place. +1647 +1648 Returns: +1649 Alias: the subquery +1650 """ +1651 instance = _maybe_copy(self, copy) +1652 return Subquery( +1653 this=instance, +1654 alias=TableAlias(this=to_identifier(alias)), +1655 ) +1656 +1657 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: +1658 raise NotImplementedError +1659 +1660 @property +1661 def ctes(self): +1662 with_ = self.args.get("with") +1663 if not with_: +1664 return [] +1665 return with_.expressions 1666 -1667 Example: -1668 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() -1669 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +1667 @property +1668 def selects(self): +1669 raise NotImplementedError("Subqueryable objects must implement `selects`") 1670 -1671 Args: -1672 alias (str | Expression): the SQL code string to parse as the table name. -1673 If an `Expression` instance is passed, this is used as-is. -1674 as_ (str | Expression): the SQL code string to parse as the table expression. -1675 If an `Expression` instance is passed, it will be used as-is. -1676 recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`. -1677 append (bool): if `True`, add to any existing expressions. -1678 Otherwise, this resets the expressions. -1679 dialect (str): the dialect used to parse the input expression. -1680 copy (bool): if `False`, modify this expression instance in-place. -1681 opts (kwargs): other options to use to parse the input expressions. -1682 -1683 Returns: -1684 Select: the modified expression. -1685 """ -1686 alias_expression = maybe_parse( -1687 alias, -1688 dialect=dialect, -1689 into=TableAlias, -1690 **opts, -1691 ) -1692 as_expression = maybe_parse( -1693 as_, -1694 dialect=dialect, -1695 **opts, -1696 ) -1697 cte = CTE( -1698 this=as_expression, -1699 alias=alias_expression, -1700 ) -1701 return _apply_child_list_builder( -1702 cte, -1703 instance=self, -1704 arg="with", -1705 append=append, -1706 copy=copy, -1707 into=With, -1708 properties={"recursive": recursive or False}, -1709 ) -1710 -1711 -1712QUERY_MODIFIERS = { -1713 "match": False, -1714 "laterals": False, -1715 "joins": False, -1716 "pivots": False, -1717 "where": False, -1718 "group": False, -1719 "having": False, -1720 "qualify": False, -1721 "windows": False, -1722 "distribute": False, -1723 "sort": False, -1724 "cluster": False, -1725 "order": False, -1726 "limit": False, -1727 "offset": False, -1728 "lock": False, -1729} -1730 +1671 @property +1672 def named_selects(self): +1673 raise NotImplementedError("Subqueryable objects must implement `named_selects`") +1674 +1675 def with_( +1676 self, +1677 alias, +1678 as_, +1679 recursive=None, +1680 append=True, +1681 dialect=None, +1682 copy=True, +1683 **opts, +1684 ): +1685 """ +1686 Append to or set the common table expressions. +1687 +1688 Example: +1689 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() +1690 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +1691 +1692 Args: +1693 alias (str | Expression): the SQL code string to parse as the table name. +1694 If an `Expression` instance is passed, this is used as-is. +1695 as_ (str | Expression): the SQL code string to parse as the table expression. +1696 If an `Expression` instance is passed, it will be used as-is. +1697 recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`. +1698 append (bool): if `True`, add to any existing expressions. +1699 Otherwise, this resets the expressions. +1700 dialect (str): the dialect used to parse the input expression. +1701 copy (bool): if `False`, modify this expression instance in-place. +1702 opts (kwargs): other options to use to parse the input expressions. +1703 +1704 Returns: +1705 Select: the modified expression. +1706 """ +1707 alias_expression = maybe_parse( +1708 alias, +1709 dialect=dialect, +1710 into=TableAlias, +1711 **opts, +1712 ) +1713 as_expression = maybe_parse( +1714 as_, +1715 dialect=dialect, +1716 **opts, +1717 ) +1718 cte = CTE( +1719 this=as_expression, +1720 alias=alias_expression, +1721 ) +1722 return _apply_child_list_builder( +1723 cte, +1724 instance=self, +1725 arg="with", +1726 append=append, +1727 copy=copy, +1728 into=With, +1729 properties={"recursive": recursive or False}, +1730 ) 1731 -1732class Table(Expression): -1733 arg_types = { -1734 "this": True, -1735 "alias": False, -1736 "db": False, -1737 "catalog": False, -1738 "laterals": False, -1739 "joins": False, -1740 "pivots": False, -1741 "hints": False, -1742 "system_time": False, -1743 } -1744 -1745 @property -1746 def db(self) -> str: -1747 return self.text("db") -1748 -1749 @property -1750 def catalog(self) -> str: -1751 return self.text("catalog") +1732 +1733QUERY_MODIFIERS = { +1734 "match": False, +1735 "laterals": False, +1736 "joins": False, +1737 "pivots": False, +1738 "where": False, +1739 "group": False, +1740 "having": False, +1741 "qualify": False, +1742 "windows": False, +1743 "distribute": False, +1744 "sort": False, +1745 "cluster": False, +1746 "order": False, +1747 "limit": False, +1748 "offset": False, +1749 "lock": False, +1750} +1751 1752 -1753 -1754# See the TSQL "Querying data in a system-versioned temporal table" page -1755class SystemTime(Expression): -1756 arg_types = { -1757 "this": False, -1758 "expression": False, -1759 "kind": True, -1760 } -1761 -1762 -1763class Union(Subqueryable): -1764 arg_types = { -1765 "with": False, -1766 "this": True, -1767 "expression": True, -1768 "distinct": False, -1769 **QUERY_MODIFIERS, -1770 } -1771 -1772 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -1773 """ -1774 Set the LIMIT expression. -1775 -1776 Example: -1777 >>> select("1").union(select("1")).limit(1).sql() -1778 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' -1779 -1780 Args: -1781 expression (str | int | Expression): the SQL code string to parse. -1782 This can also be an integer. -1783 If a `Limit` instance is passed, this is used as-is. -1784 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -1785 dialect (str): the dialect used to parse the input expression. -1786 copy (bool): if `False`, modify this expression instance in-place. -1787 opts (kwargs): other options to use to parse the input expressions. -1788 -1789 Returns: -1790 Select: The limited subqueryable. -1791 """ -1792 return ( -1793 select("*") -1794 .from_(self.subquery(alias="_l_0", copy=copy)) -1795 .limit(expression, dialect=dialect, copy=False, **opts) -1796 ) -1797 -1798 def select( -1799 self, -1800 *expressions: str | Expression, -1801 append: bool = True, -1802 dialect: DialectType = None, -1803 copy: bool = True, -1804 **opts, -1805 ) -> Union: -1806 """Append to or set the SELECT of the union recursively. -1807 -1808 Example: -1809 >>> from sqlglot import parse_one -1810 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() -1811 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' -1812 -1813 Args: -1814 *expressions: the SQL code strings to parse. -1815 If an `Expression` instance is passed, it will be used as-is. -1816 append: if `True`, add to any existing expressions. -1817 Otherwise, this resets the expressions. -1818 dialect: the dialect used to parse the input expressions. -1819 copy: if `False`, modify this expression instance in-place. -1820 opts: other options to use to parse the input expressions. -1821 -1822 Returns: -1823 Union: the modified expression. -1824 """ -1825 this = self.copy() if copy else self -1826 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) -1827 this.expression.unnest().select( -1828 *expressions, append=append, dialect=dialect, copy=False, **opts -1829 ) -1830 return this -1831 -1832 @property -1833 def named_selects(self): -1834 return self.this.unnest().named_selects -1835 -1836 @property -1837 def is_star(self) -> bool: -1838 return self.this.is_star or self.expression.is_star -1839 -1840 @property -1841 def selects(self): -1842 return self.this.unnest().selects -1843 -1844 @property -1845 def left(self): -1846 return self.this -1847 -1848 @property -1849 def right(self): -1850 return self.expression -1851 +1753class Table(Expression): +1754 arg_types = { +1755 "this": True, +1756 "alias": False, +1757 "db": False, +1758 "catalog": False, +1759 "laterals": False, +1760 "joins": False, +1761 "pivots": False, +1762 "hints": False, +1763 "system_time": False, +1764 } +1765 +1766 @property +1767 def db(self) -> str: +1768 return self.text("db") +1769 +1770 @property +1771 def catalog(self) -> str: +1772 return self.text("catalog") +1773 +1774 +1775# See the TSQL "Querying data in a system-versioned temporal table" page +1776class SystemTime(Expression): +1777 arg_types = { +1778 "this": False, +1779 "expression": False, +1780 "kind": True, +1781 } +1782 +1783 +1784class Union(Subqueryable): +1785 arg_types = { +1786 "with": False, +1787 "this": True, +1788 "expression": True, +1789 "distinct": False, +1790 **QUERY_MODIFIERS, +1791 } +1792 +1793 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: +1794 """ +1795 Set the LIMIT expression. +1796 +1797 Example: +1798 >>> select("1").union(select("1")).limit(1).sql() +1799 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' +1800 +1801 Args: +1802 expression (str | int | Expression): the SQL code string to parse. +1803 This can also be an integer. +1804 If a `Limit` instance is passed, this is used as-is. +1805 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +1806 dialect (str): the dialect used to parse the input expression. +1807 copy (bool): if `False`, modify this expression instance in-place. +1808 opts (kwargs): other options to use to parse the input expressions. +1809 +1810 Returns: +1811 Select: The limited subqueryable. +1812 """ +1813 return ( +1814 select("*") +1815 .from_(self.subquery(alias="_l_0", copy=copy)) +1816 .limit(expression, dialect=dialect, copy=False, **opts) +1817 ) +1818 +1819 def select( +1820 self, +1821 *expressions: str | Expression, +1822 append: bool = True, +1823 dialect: DialectType = None, +1824 copy: bool = True, +1825 **opts, +1826 ) -> Union: +1827 """Append to or set the SELECT of the union recursively. +1828 +1829 Example: +1830 >>> from sqlglot import parse_one +1831 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() +1832 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' +1833 +1834 Args: +1835 *expressions: the SQL code strings to parse. +1836 If an `Expression` instance is passed, it will be used as-is. +1837 append: if `True`, add to any existing expressions. +1838 Otherwise, this resets the expressions. +1839 dialect: the dialect used to parse the input expressions. +1840 copy: if `False`, modify this expression instance in-place. +1841 opts: other options to use to parse the input expressions. +1842 +1843 Returns: +1844 Union: the modified expression. +1845 """ +1846 this = self.copy() if copy else self +1847 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) +1848 this.expression.unnest().select( +1849 *expressions, append=append, dialect=dialect, copy=False, **opts +1850 ) +1851 return this 1852 -1853class Except(Union): -1854 pass -1855 +1853 @property +1854 def named_selects(self): +1855 return self.this.unnest().named_selects 1856 -1857class Intersect(Union): -1858 pass -1859 +1857 @property +1858 def is_star(self) -> bool: +1859 return self.this.is_star or self.expression.is_star 1860 -1861class Unnest(UDTF): -1862 arg_types = { -1863 "expressions": True, -1864 "ordinality": False, -1865 "alias": False, -1866 "offset": False, -1867 } +1861 @property +1862 def selects(self): +1863 return self.this.unnest().selects +1864 +1865 @property +1866 def left(self): +1867 return self.this 1868 -1869 -1870class Update(Expression): -1871 arg_types = { -1872 "with": False, -1873 "this": False, -1874 "expressions": True, -1875 "from": False, -1876 "where": False, -1877 } -1878 -1879 -1880class Values(UDTF): -1881 arg_types = { -1882 "expressions": True, -1883 "ordinality": False, -1884 "alias": False, -1885 } -1886 -1887 -1888class Var(Expression): -1889 pass +1869 @property +1870 def right(self): +1871 return self.expression +1872 +1873 +1874class Except(Union): +1875 pass +1876 +1877 +1878class Intersect(Union): +1879 pass +1880 +1881 +1882class Unnest(UDTF): +1883 arg_types = { +1884 "expressions": True, +1885 "ordinality": False, +1886 "alias": False, +1887 "offset": False, +1888 } +1889 1890 -1891 -1892class Schema(Expression): -1893 arg_types = {"this": False, "expressions": False} -1894 -1895 -1896# Used to represent the FOR UPDATE and FOR SHARE locking read types. -1897# https://dev.mysql.com/doc/refman/8.0/en/innodb-locking-reads.html -1898class Lock(Expression): -1899 arg_types = {"update": True} +1891class Update(Expression): +1892 arg_types = { +1893 "with": False, +1894 "this": False, +1895 "expressions": True, +1896 "from": False, +1897 "where": False, +1898 } +1899 1900 -1901 -1902class Select(Subqueryable): -1903 arg_types = { -1904 "with": False, -1905 "expressions": False, -1906 "hint": False, -1907 "distinct": False, -1908 "into": False, -1909 "from": False, -1910 **QUERY_MODIFIERS, -1911 } +1901class Values(UDTF): +1902 arg_types = { +1903 "expressions": True, +1904 "ordinality": False, +1905 "alias": False, +1906 } +1907 +1908 +1909class Var(Expression): +1910 pass +1911 1912 -1913 def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -1914 """ -1915 Set the FROM expression. +1913class Schema(Expression): +1914 arg_types = {"this": False, "expressions": False} +1915 1916 -1917 Example: -1918 >>> Select().from_("tbl").select("x").sql() -1919 'SELECT x FROM tbl' -1920 -1921 Args: -1922 *expressions (str | Expression): the SQL code strings to parse. -1923 If a `From` instance is passed, this is used as-is. -1924 If another `Expression` instance is passed, it will be wrapped in a `From`. -1925 append (bool): if `True`, add to any existing expressions. -1926 Otherwise, this flattens all the `From` expression into a single expression. -1927 dialect (str): the dialect used to parse the input expression. -1928 copy (bool): if `False`, modify this expression instance in-place. -1929 opts (kwargs): other options to use to parse the input expressions. -1930 -1931 Returns: -1932 Select: the modified expression. -1933 """ -1934 return _apply_child_list_builder( -1935 *expressions, -1936 instance=self, -1937 arg="from", -1938 append=append, -1939 copy=copy, -1940 prefix="FROM", -1941 into=From, -1942 dialect=dialect, -1943 **opts, -1944 ) -1945 -1946 def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -1947 """ -1948 Set the GROUP BY expression. -1949 -1950 Example: -1951 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() -1952 'SELECT x, COUNT(1) FROM tbl GROUP BY x' -1953 -1954 Args: -1955 *expressions (str | Expression): the SQL code strings to parse. -1956 If a `Group` instance is passed, this is used as-is. -1957 If another `Expression` instance is passed, it will be wrapped in a `Group`. -1958 If nothing is passed in then a group by is not applied to the expression -1959 append (bool): if `True`, add to any existing expressions. -1960 Otherwise, this flattens all the `Group` expression into a single expression. -1961 dialect (str): the dialect used to parse the input expression. -1962 copy (bool): if `False`, modify this expression instance in-place. -1963 opts (kwargs): other options to use to parse the input expressions. -1964 -1965 Returns: -1966 Select: the modified expression. -1967 """ -1968 if not expressions: -1969 return self if not copy else self.copy() -1970 return _apply_child_list_builder( -1971 *expressions, -1972 instance=self, -1973 arg="group", -1974 append=append, -1975 copy=copy, -1976 prefix="GROUP BY", -1977 into=Group, -1978 dialect=dialect, -1979 **opts, -1980 ) -1981 -1982 def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -1983 """ -1984 Set the ORDER BY expression. +1917# Used to represent the FOR UPDATE and FOR SHARE locking read types. +1918# https://dev.mysql.com/doc/refman/8.0/en/innodb-locking-reads.html +1919class Lock(Expression): +1920 arg_types = {"update": True} +1921 +1922 +1923class Select(Subqueryable): +1924 arg_types = { +1925 "with": False, +1926 "expressions": False, +1927 "hint": False, +1928 "distinct": False, +1929 "into": False, +1930 "from": False, +1931 **QUERY_MODIFIERS, +1932 } +1933 +1934 def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +1935 """ +1936 Set the FROM expression. +1937 +1938 Example: +1939 >>> Select().from_("tbl").select("x").sql() +1940 'SELECT x FROM tbl' +1941 +1942 Args: +1943 *expressions (str | Expression): the SQL code strings to parse. +1944 If a `From` instance is passed, this is used as-is. +1945 If another `Expression` instance is passed, it will be wrapped in a `From`. +1946 append (bool): if `True`, add to any existing expressions. +1947 Otherwise, this flattens all the `From` expression into a single expression. +1948 dialect (str): the dialect used to parse the input expression. +1949 copy (bool): if `False`, modify this expression instance in-place. +1950 opts (kwargs): other options to use to parse the input expressions. +1951 +1952 Returns: +1953 Select: the modified expression. +1954 """ +1955 return _apply_child_list_builder( +1956 *expressions, +1957 instance=self, +1958 arg="from", +1959 append=append, +1960 copy=copy, +1961 prefix="FROM", +1962 into=From, +1963 dialect=dialect, +1964 **opts, +1965 ) +1966 +1967 def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +1968 """ +1969 Set the GROUP BY expression. +1970 +1971 Example: +1972 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() +1973 'SELECT x, COUNT(1) FROM tbl GROUP BY x' +1974 +1975 Args: +1976 *expressions (str | Expression): the SQL code strings to parse. +1977 If a `Group` instance is passed, this is used as-is. +1978 If another `Expression` instance is passed, it will be wrapped in a `Group`. +1979 If nothing is passed in then a group by is not applied to the expression +1980 append (bool): if `True`, add to any existing expressions. +1981 Otherwise, this flattens all the `Group` expression into a single expression. +1982 dialect (str): the dialect used to parse the input expression. +1983 copy (bool): if `False`, modify this expression instance in-place. +1984 opts (kwargs): other options to use to parse the input expressions. 1985 -1986 Example: -1987 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() -1988 'SELECT x FROM tbl ORDER BY x DESC' -1989 -1990 Args: -1991 *expressions (str | Expression): the SQL code strings to parse. -1992 If a `Group` instance is passed, this is used as-is. -1993 If another `Expression` instance is passed, it will be wrapped in a `Order`. -1994 append (bool): if `True`, add to any existing expressions. -1995 Otherwise, this flattens all the `Order` expression into a single expression. -1996 dialect (str): the dialect used to parse the input expression. -1997 copy (bool): if `False`, modify this expression instance in-place. -1998 opts (kwargs): other options to use to parse the input expressions. -1999 -2000 Returns: -2001 Select: the modified expression. -2002 """ -2003 return _apply_child_list_builder( -2004 *expressions, -2005 instance=self, -2006 arg="order", -2007 append=append, -2008 copy=copy, -2009 prefix="ORDER BY", -2010 into=Order, -2011 dialect=dialect, -2012 **opts, -2013 ) -2014 -2015 def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2016 """ -2017 Set the SORT BY expression. -2018 -2019 Example: -2020 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql() -2021 'SELECT x FROM tbl SORT BY x DESC' -2022 -2023 Args: -2024 *expressions (str | Expression): the SQL code strings to parse. -2025 If a `Group` instance is passed, this is used as-is. -2026 If another `Expression` instance is passed, it will be wrapped in a `SORT`. -2027 append (bool): if `True`, add to any existing expressions. -2028 Otherwise, this flattens all the `Order` expression into a single expression. -2029 dialect (str): the dialect used to parse the input expression. -2030 copy (bool): if `False`, modify this expression instance in-place. -2031 opts (kwargs): other options to use to parse the input expressions. -2032 -2033 Returns: -2034 Select: the modified expression. -2035 """ -2036 return _apply_child_list_builder( -2037 *expressions, -2038 instance=self, -2039 arg="sort", -2040 append=append, -2041 copy=copy, -2042 prefix="SORT BY", -2043 into=Sort, -2044 dialect=dialect, -2045 **opts, -2046 ) -2047 -2048 def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2049 """ -2050 Set the CLUSTER BY expression. -2051 -2052 Example: -2053 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql() -2054 'SELECT x FROM tbl CLUSTER BY x DESC' -2055 -2056 Args: -2057 *expressions (str | Expression): the SQL code strings to parse. -2058 If a `Group` instance is passed, this is used as-is. -2059 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. -2060 append (bool): if `True`, add to any existing expressions. -2061 Otherwise, this flattens all the `Order` expression into a single expression. -2062 dialect (str): the dialect used to parse the input expression. -2063 copy (bool): if `False`, modify this expression instance in-place. -2064 opts (kwargs): other options to use to parse the input expressions. -2065 -2066 Returns: -2067 Select: the modified expression. -2068 """ -2069 return _apply_child_list_builder( -2070 *expressions, -2071 instance=self, -2072 arg="cluster", -2073 append=append, -2074 copy=copy, -2075 prefix="CLUSTER BY", -2076 into=Cluster, -2077 dialect=dialect, -2078 **opts, -2079 ) -2080 -2081 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -2082 """ -2083 Set the LIMIT expression. -2084 -2085 Example: -2086 >>> Select().from_("tbl").select("x").limit(10).sql() -2087 'SELECT x FROM tbl LIMIT 10' -2088 -2089 Args: -2090 expression (str | int | Expression): the SQL code string to parse. -2091 This can also be an integer. -2092 If a `Limit` instance is passed, this is used as-is. -2093 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -2094 dialect (str): the dialect used to parse the input expression. -2095 copy (bool): if `False`, modify this expression instance in-place. -2096 opts (kwargs): other options to use to parse the input expressions. -2097 -2098 Returns: -2099 Select: the modified expression. -2100 """ -2101 return _apply_builder( -2102 expression=expression, -2103 instance=self, -2104 arg="limit", -2105 into=Limit, -2106 prefix="LIMIT", -2107 dialect=dialect, -2108 copy=copy, -2109 **opts, -2110 ) -2111 -2112 def offset(self, expression, dialect=None, copy=True, **opts) -> Select: -2113 """ -2114 Set the OFFSET expression. -2115 -2116 Example: -2117 >>> Select().from_("tbl").select("x").offset(10).sql() -2118 'SELECT x FROM tbl OFFSET 10' -2119 -2120 Args: -2121 expression (str | int | Expression): the SQL code string to parse. -2122 This can also be an integer. -2123 If a `Offset` instance is passed, this is used as-is. -2124 If another `Expression` instance is passed, it will be wrapped in a `Offset`. -2125 dialect (str): the dialect used to parse the input expression. -2126 copy (bool): if `False`, modify this expression instance in-place. -2127 opts (kwargs): other options to use to parse the input expressions. -2128 -2129 Returns: -2130 Select: the modified expression. -2131 """ -2132 return _apply_builder( -2133 expression=expression, -2134 instance=self, -2135 arg="offset", -2136 into=Offset, -2137 prefix="OFFSET", -2138 dialect=dialect, -2139 copy=copy, -2140 **opts, -2141 ) -2142 -2143 def select( -2144 self, -2145 *expressions: str | Expression, -2146 append: bool = True, -2147 dialect: DialectType = None, -2148 copy: bool = True, -2149 **opts, -2150 ) -> Select: -2151 """ -2152 Append to or set the SELECT expressions. -2153 -2154 Example: -2155 >>> Select().select("x", "y").sql() -2156 'SELECT x, y' -2157 -2158 Args: -2159 *expressions: the SQL code strings to parse. -2160 If an `Expression` instance is passed, it will be used as-is. -2161 append: if `True`, add to any existing expressions. -2162 Otherwise, this resets the expressions. -2163 dialect: the dialect used to parse the input expressions. -2164 copy: if `False`, modify this expression instance in-place. -2165 opts: other options to use to parse the input expressions. -2166 -2167 Returns: -2168 Select: the modified expression. -2169 """ -2170 return _apply_list_builder( -2171 *expressions, -2172 instance=self, -2173 arg="expressions", -2174 append=append, -2175 dialect=dialect, -2176 copy=copy, -2177 **opts, -2178 ) -2179 -2180 def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2181 """ -2182 Append to or set the LATERAL expressions. -2183 -2184 Example: -2185 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() -2186 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' +1986 Returns: +1987 Select: the modified expression. +1988 """ +1989 if not expressions: +1990 return self if not copy else self.copy() +1991 return _apply_child_list_builder( +1992 *expressions, +1993 instance=self, +1994 arg="group", +1995 append=append, +1996 copy=copy, +1997 prefix="GROUP BY", +1998 into=Group, +1999 dialect=dialect, +2000 **opts, +2001 ) +2002 +2003 def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2004 """ +2005 Set the ORDER BY expression. +2006 +2007 Example: +2008 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() +2009 'SELECT x FROM tbl ORDER BY x DESC' +2010 +2011 Args: +2012 *expressions (str | Expression): the SQL code strings to parse. +2013 If a `Group` instance is passed, this is used as-is. +2014 If another `Expression` instance is passed, it will be wrapped in a `Order`. +2015 append (bool): if `True`, add to any existing expressions. +2016 Otherwise, this flattens all the `Order` expression into a single expression. +2017 dialect (str): the dialect used to parse the input expression. +2018 copy (bool): if `False`, modify this expression instance in-place. +2019 opts (kwargs): other options to use to parse the input expressions. +2020 +2021 Returns: +2022 Select: the modified expression. +2023 """ +2024 return _apply_child_list_builder( +2025 *expressions, +2026 instance=self, +2027 arg="order", +2028 append=append, +2029 copy=copy, +2030 prefix="ORDER BY", +2031 into=Order, +2032 dialect=dialect, +2033 **opts, +2034 ) +2035 +2036 def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2037 """ +2038 Set the SORT BY expression. +2039 +2040 Example: +2041 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql() +2042 'SELECT x FROM tbl SORT BY x DESC' +2043 +2044 Args: +2045 *expressions (str | Expression): the SQL code strings to parse. +2046 If a `Group` instance is passed, this is used as-is. +2047 If another `Expression` instance is passed, it will be wrapped in a `SORT`. +2048 append (bool): if `True`, add to any existing expressions. +2049 Otherwise, this flattens all the `Order` expression into a single expression. +2050 dialect (str): the dialect used to parse the input expression. +2051 copy (bool): if `False`, modify this expression instance in-place. +2052 opts (kwargs): other options to use to parse the input expressions. +2053 +2054 Returns: +2055 Select: the modified expression. +2056 """ +2057 return _apply_child_list_builder( +2058 *expressions, +2059 instance=self, +2060 arg="sort", +2061 append=append, +2062 copy=copy, +2063 prefix="SORT BY", +2064 into=Sort, +2065 dialect=dialect, +2066 **opts, +2067 ) +2068 +2069 def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2070 """ +2071 Set the CLUSTER BY expression. +2072 +2073 Example: +2074 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql() +2075 'SELECT x FROM tbl CLUSTER BY x DESC' +2076 +2077 Args: +2078 *expressions (str | Expression): the SQL code strings to parse. +2079 If a `Group` instance is passed, this is used as-is. +2080 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. +2081 append (bool): if `True`, add to any existing expressions. +2082 Otherwise, this flattens all the `Order` expression into a single expression. +2083 dialect (str): the dialect used to parse the input expression. +2084 copy (bool): if `False`, modify this expression instance in-place. +2085 opts (kwargs): other options to use to parse the input expressions. +2086 +2087 Returns: +2088 Select: the modified expression. +2089 """ +2090 return _apply_child_list_builder( +2091 *expressions, +2092 instance=self, +2093 arg="cluster", +2094 append=append, +2095 copy=copy, +2096 prefix="CLUSTER BY", +2097 into=Cluster, +2098 dialect=dialect, +2099 **opts, +2100 ) +2101 +2102 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: +2103 """ +2104 Set the LIMIT expression. +2105 +2106 Example: +2107 >>> Select().from_("tbl").select("x").limit(10).sql() +2108 'SELECT x FROM tbl LIMIT 10' +2109 +2110 Args: +2111 expression (str | int | Expression): the SQL code string to parse. +2112 This can also be an integer. +2113 If a `Limit` instance is passed, this is used as-is. +2114 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +2115 dialect (str): the dialect used to parse the input expression. +2116 copy (bool): if `False`, modify this expression instance in-place. +2117 opts (kwargs): other options to use to parse the input expressions. +2118 +2119 Returns: +2120 Select: the modified expression. +2121 """ +2122 return _apply_builder( +2123 expression=expression, +2124 instance=self, +2125 arg="limit", +2126 into=Limit, +2127 prefix="LIMIT", +2128 dialect=dialect, +2129 copy=copy, +2130 **opts, +2131 ) +2132 +2133 def offset(self, expression, dialect=None, copy=True, **opts) -> Select: +2134 """ +2135 Set the OFFSET expression. +2136 +2137 Example: +2138 >>> Select().from_("tbl").select("x").offset(10).sql() +2139 'SELECT x FROM tbl OFFSET 10' +2140 +2141 Args: +2142 expression (str | int | Expression): the SQL code string to parse. +2143 This can also be an integer. +2144 If a `Offset` instance is passed, this is used as-is. +2145 If another `Expression` instance is passed, it will be wrapped in a `Offset`. +2146 dialect (str): the dialect used to parse the input expression. +2147 copy (bool): if `False`, modify this expression instance in-place. +2148 opts (kwargs): other options to use to parse the input expressions. +2149 +2150 Returns: +2151 Select: the modified expression. +2152 """ +2153 return _apply_builder( +2154 expression=expression, +2155 instance=self, +2156 arg="offset", +2157 into=Offset, +2158 prefix="OFFSET", +2159 dialect=dialect, +2160 copy=copy, +2161 **opts, +2162 ) +2163 +2164 def select( +2165 self, +2166 *expressions: str | Expression, +2167 append: bool = True, +2168 dialect: DialectType = None, +2169 copy: bool = True, +2170 **opts, +2171 ) -> Select: +2172 """ +2173 Append to or set the SELECT expressions. +2174 +2175 Example: +2176 >>> Select().select("x", "y").sql() +2177 'SELECT x, y' +2178 +2179 Args: +2180 *expressions: the SQL code strings to parse. +2181 If an `Expression` instance is passed, it will be used as-is. +2182 append: if `True`, add to any existing expressions. +2183 Otherwise, this resets the expressions. +2184 dialect: the dialect used to parse the input expressions. +2185 copy: if `False`, modify this expression instance in-place. +2186 opts: other options to use to parse the input expressions. 2187 -2188 Args: -2189 *expressions (str | Expression): the SQL code strings to parse. -2190 If an `Expression` instance is passed, it will be used as-is. -2191 append (bool): if `True`, add to any existing expressions. -2192 Otherwise, this resets the expressions. -2193 dialect (str): the dialect used to parse the input expressions. -2194 copy (bool): if `False`, modify this expression instance in-place. -2195 opts (kwargs): other options to use to parse the input expressions. -2196 -2197 Returns: -2198 Select: the modified expression. -2199 """ -2200 return _apply_list_builder( -2201 *expressions, -2202 instance=self, -2203 arg="laterals", -2204 append=append, -2205 into=Lateral, -2206 prefix="LATERAL VIEW", -2207 dialect=dialect, -2208 copy=copy, -2209 **opts, -2210 ) -2211 -2212 def join( -2213 self, -2214 expression, -2215 on=None, -2216 using=None, -2217 append=True, -2218 join_type=None, -2219 join_alias=None, -2220 dialect=None, -2221 copy=True, -2222 **opts, -2223 ) -> Select: -2224 """ -2225 Append to or set the JOIN expressions. -2226 -2227 Example: -2228 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() -2229 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' -2230 -2231 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() -2232 'SELECT 1 FROM a JOIN b USING (x, y, z)' -2233 -2234 Use `join_type` to change the type of join: -2235 -2236 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() -2237 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' -2238 -2239 Args: -2240 expression (str | Expression): the SQL code string to parse. -2241 If an `Expression` instance is passed, it will be used as-is. -2242 on (str | Expression): optionally specify the join "on" criteria as a SQL string. -2243 If an `Expression` instance is passed, it will be used as-is. -2244 using (str | Expression): optionally specify the join "using" criteria as a SQL string. -2245 If an `Expression` instance is passed, it will be used as-is. -2246 append (bool): if `True`, add to any existing expressions. -2247 Otherwise, this resets the expressions. -2248 join_type (str): If set, alter the parsed join type -2249 dialect (str): the dialect used to parse the input expressions. -2250 copy (bool): if `False`, modify this expression instance in-place. -2251 opts (kwargs): other options to use to parse the input expressions. -2252 -2253 Returns: -2254 Select: the modified expression. -2255 """ -2256 parse_args = {"dialect": dialect, **opts} -2257 -2258 try: -2259 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) -2260 except ParseError: -2261 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) -2262 -2263 join = expression if isinstance(expression, Join) else Join(this=expression) -2264 -2265 if isinstance(join.this, Select): -2266 join.this.replace(join.this.subquery()) -2267 -2268 if join_type: -2269 natural: t.Optional[Token] -2270 side: t.Optional[Token] -2271 kind: t.Optional[Token] -2272 -2273 natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore -2274 -2275 if natural: -2276 join.set("natural", True) -2277 if side: -2278 join.set("side", side.text) -2279 if kind: -2280 join.set("kind", kind.text) -2281 -2282 if on: -2283 on = and_(*ensure_collection(on), dialect=dialect, **opts) -2284 join.set("on", on) +2188 Returns: +2189 Select: the modified expression. +2190 """ +2191 return _apply_list_builder( +2192 *expressions, +2193 instance=self, +2194 arg="expressions", +2195 append=append, +2196 dialect=dialect, +2197 copy=copy, +2198 **opts, +2199 ) +2200 +2201 def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2202 """ +2203 Append to or set the LATERAL expressions. +2204 +2205 Example: +2206 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() +2207 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' +2208 +2209 Args: +2210 *expressions (str | Expression): the SQL code strings to parse. +2211 If an `Expression` instance is passed, it will be used as-is. +2212 append (bool): if `True`, add to any existing expressions. +2213 Otherwise, this resets the expressions. +2214 dialect (str): the dialect used to parse the input expressions. +2215 copy (bool): if `False`, modify this expression instance in-place. +2216 opts (kwargs): other options to use to parse the input expressions. +2217 +2218 Returns: +2219 Select: the modified expression. +2220 """ +2221 return _apply_list_builder( +2222 *expressions, +2223 instance=self, +2224 arg="laterals", +2225 append=append, +2226 into=Lateral, +2227 prefix="LATERAL VIEW", +2228 dialect=dialect, +2229 copy=copy, +2230 **opts, +2231 ) +2232 +2233 def join( +2234 self, +2235 expression, +2236 on=None, +2237 using=None, +2238 append=True, +2239 join_type=None, +2240 join_alias=None, +2241 dialect=None, +2242 copy=True, +2243 **opts, +2244 ) -> Select: +2245 """ +2246 Append to or set the JOIN expressions. +2247 +2248 Example: +2249 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() +2250 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' +2251 +2252 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() +2253 'SELECT 1 FROM a JOIN b USING (x, y, z)' +2254 +2255 Use `join_type` to change the type of join: +2256 +2257 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() +2258 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' +2259 +2260 Args: +2261 expression (str | Expression): the SQL code string to parse. +2262 If an `Expression` instance is passed, it will be used as-is. +2263 on (str | Expression): optionally specify the join "on" criteria as a SQL string. +2264 If an `Expression` instance is passed, it will be used as-is. +2265 using (str | Expression): optionally specify the join "using" criteria as a SQL string. +2266 If an `Expression` instance is passed, it will be used as-is. +2267 append (bool): if `True`, add to any existing expressions. +2268 Otherwise, this resets the expressions. +2269 join_type (str): If set, alter the parsed join type +2270 dialect (str): the dialect used to parse the input expressions. +2271 copy (bool): if `False`, modify this expression instance in-place. +2272 opts (kwargs): other options to use to parse the input expressions. +2273 +2274 Returns: +2275 Select: the modified expression. +2276 """ +2277 parse_args = {"dialect": dialect, **opts} +2278 +2279 try: +2280 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) +2281 except ParseError: +2282 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) +2283 +2284 join = expression if isinstance(expression, Join) else Join(this=expression) 2285 -2286 if using: -2287 join = _apply_list_builder( -2288 *ensure_collection(using), -2289 instance=join, -2290 arg="using", -2291 append=append, -2292 copy=copy, -2293 **opts, -2294 ) +2286 if isinstance(join.this, Select): +2287 join.this.replace(join.this.subquery()) +2288 +2289 if join_type: +2290 natural: t.Optional[Token] +2291 side: t.Optional[Token] +2292 kind: t.Optional[Token] +2293 +2294 natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore 2295 -2296 if join_alias: -2297 join.set("this", alias_(join.this, join_alias, table=True)) -2298 return _apply_list_builder( -2299 join, -2300 instance=self, -2301 arg="joins", -2302 append=append, -2303 copy=copy, -2304 **opts, -2305 ) +2296 if natural: +2297 join.set("natural", True) +2298 if side: +2299 join.set("side", side.text) +2300 if kind: +2301 join.set("kind", kind.text) +2302 +2303 if on: +2304 on = and_(*ensure_collection(on), dialect=dialect, **opts) +2305 join.set("on", on) 2306 -2307 def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2308 """ -2309 Append to or set the WHERE expressions. -2310 -2311 Example: -2312 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() -2313 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" -2314 -2315 Args: -2316 *expressions (str | Expression): the SQL code strings to parse. -2317 If an `Expression` instance is passed, it will be used as-is. -2318 Multiple expressions are combined with an AND operator. -2319 append (bool): if `True`, AND the new expressions to any existing expression. -2320 Otherwise, this resets the expression. -2321 dialect (str): the dialect used to parse the input expressions. -2322 copy (bool): if `False`, modify this expression instance in-place. -2323 opts (kwargs): other options to use to parse the input expressions. -2324 -2325 Returns: -2326 Select: the modified expression. -2327 """ -2328 return _apply_conjunction_builder( -2329 *expressions, -2330 instance=self, -2331 arg="where", -2332 append=append, -2333 into=Where, -2334 dialect=dialect, -2335 copy=copy, -2336 **opts, -2337 ) -2338 -2339 def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2340 """ -2341 Append to or set the HAVING expressions. -2342 -2343 Example: -2344 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() -2345 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' -2346 -2347 Args: -2348 *expressions (str | Expression): the SQL code strings to parse. -2349 If an `Expression` instance is passed, it will be used as-is. -2350 Multiple expressions are combined with an AND operator. -2351 append (bool): if `True`, AND the new expressions to any existing expression. -2352 Otherwise, this resets the expression. -2353 dialect (str): the dialect used to parse the input expressions. -2354 copy (bool): if `False`, modify this expression instance in-place. -2355 opts (kwargs): other options to use to parse the input expressions. -2356 -2357 Returns: -2358 Select: the modified expression. -2359 """ -2360 return _apply_conjunction_builder( -2361 *expressions, -2362 instance=self, -2363 arg="having", -2364 append=append, -2365 into=Having, -2366 dialect=dialect, -2367 copy=copy, -2368 **opts, -2369 ) -2370 -2371 def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2372 return _apply_list_builder( -2373 *expressions, -2374 instance=self, -2375 arg="windows", -2376 append=append, -2377 into=Window, -2378 dialect=dialect, -2379 copy=copy, -2380 **opts, -2381 ) -2382 -2383 def distinct(self, distinct=True, copy=True) -> Select: -2384 """ -2385 Set the OFFSET expression. -2386 -2387 Example: -2388 >>> Select().from_("tbl").select("x").distinct().sql() -2389 'SELECT DISTINCT x FROM tbl' -2390 -2391 Args: -2392 distinct (bool): whether the Select should be distinct -2393 copy (bool): if `False`, modify this expression instance in-place. -2394 -2395 Returns: -2396 Select: the modified expression. -2397 """ -2398 instance = _maybe_copy(self, copy) -2399 instance.set("distinct", Distinct() if distinct else None) -2400 return instance -2401 -2402 def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create: -2403 """ -2404 Convert this expression to a CREATE TABLE AS statement. -2405 -2406 Example: -2407 >>> Select().select("*").from_("tbl").ctas("x").sql() -2408 'CREATE TABLE x AS SELECT * FROM tbl' -2409 -2410 Args: -2411 table (str | Expression): the SQL code string to parse as the table name. -2412 If another `Expression` instance is passed, it will be used as-is. -2413 properties (dict): an optional mapping of table properties -2414 dialect (str): the dialect used to parse the input table. -2415 copy (bool): if `False`, modify this expression instance in-place. -2416 opts (kwargs): other options to use to parse the input table. -2417 -2418 Returns: -2419 Create: the CREATE TABLE AS expression -2420 """ -2421 instance = _maybe_copy(self, copy) -2422 table_expression = maybe_parse( -2423 table, -2424 into=Table, -2425 dialect=dialect, -2426 **opts, -2427 ) -2428 properties_expression = None -2429 if properties: -2430 properties_expression = Properties.from_dict(properties) -2431 -2432 return Create( -2433 this=table_expression, -2434 kind="table", -2435 expression=instance, -2436 properties=properties_expression, -2437 ) +2307 if using: +2308 join = _apply_list_builder( +2309 *ensure_collection(using), +2310 instance=join, +2311 arg="using", +2312 append=append, +2313 copy=copy, +2314 **opts, +2315 ) +2316 +2317 if join_alias: +2318 join.set("this", alias_(join.this, join_alias, table=True)) +2319 return _apply_list_builder( +2320 join, +2321 instance=self, +2322 arg="joins", +2323 append=append, +2324 copy=copy, +2325 **opts, +2326 ) +2327 +2328 def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2329 """ +2330 Append to or set the WHERE expressions. +2331 +2332 Example: +2333 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() +2334 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" +2335 +2336 Args: +2337 *expressions (str | Expression): the SQL code strings to parse. +2338 If an `Expression` instance is passed, it will be used as-is. +2339 Multiple expressions are combined with an AND operator. +2340 append (bool): if `True`, AND the new expressions to any existing expression. +2341 Otherwise, this resets the expression. +2342 dialect (str): the dialect used to parse the input expressions. +2343 copy (bool): if `False`, modify this expression instance in-place. +2344 opts (kwargs): other options to use to parse the input expressions. +2345 +2346 Returns: +2347 Select: the modified expression. +2348 """ +2349 return _apply_conjunction_builder( +2350 *expressions, +2351 instance=self, +2352 arg="where", +2353 append=append, +2354 into=Where, +2355 dialect=dialect, +2356 copy=copy, +2357 **opts, +2358 ) +2359 +2360 def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2361 """ +2362 Append to or set the HAVING expressions. +2363 +2364 Example: +2365 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() +2366 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' +2367 +2368 Args: +2369 *expressions (str | Expression): the SQL code strings to parse. +2370 If an `Expression` instance is passed, it will be used as-is. +2371 Multiple expressions are combined with an AND operator. +2372 append (bool): if `True`, AND the new expressions to any existing expression. +2373 Otherwise, this resets the expression. +2374 dialect (str): the dialect used to parse the input expressions. +2375 copy (bool): if `False`, modify this expression instance in-place. +2376 opts (kwargs): other options to use to parse the input expressions. +2377 +2378 Returns: +2379 Select: the modified expression. +2380 """ +2381 return _apply_conjunction_builder( +2382 *expressions, +2383 instance=self, +2384 arg="having", +2385 append=append, +2386 into=Having, +2387 dialect=dialect, +2388 copy=copy, +2389 **opts, +2390 ) +2391 +2392 def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: +2393 return _apply_list_builder( +2394 *expressions, +2395 instance=self, +2396 arg="windows", +2397 append=append, +2398 into=Window, +2399 dialect=dialect, +2400 copy=copy, +2401 **opts, +2402 ) +2403 +2404 def distinct(self, distinct=True, copy=True) -> Select: +2405 """ +2406 Set the OFFSET expression. +2407 +2408 Example: +2409 >>> Select().from_("tbl").select("x").distinct().sql() +2410 'SELECT DISTINCT x FROM tbl' +2411 +2412 Args: +2413 distinct (bool): whether the Select should be distinct +2414 copy (bool): if `False`, modify this expression instance in-place. +2415 +2416 Returns: +2417 Select: the modified expression. +2418 """ +2419 instance = _maybe_copy(self, copy) +2420 instance.set("distinct", Distinct() if distinct else None) +2421 return instance +2422 +2423 def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create: +2424 """ +2425 Convert this expression to a CREATE TABLE AS statement. +2426 +2427 Example: +2428 >>> Select().select("*").from_("tbl").ctas("x").sql() +2429 'CREATE TABLE x AS SELECT * FROM tbl' +2430 +2431 Args: +2432 table (str | Expression): the SQL code string to parse as the table name. +2433 If another `Expression` instance is passed, it will be used as-is. +2434 properties (dict): an optional mapping of table properties +2435 dialect (str): the dialect used to parse the input table. +2436 copy (bool): if `False`, modify this expression instance in-place. +2437 opts (kwargs): other options to use to parse the input table. 2438 -2439 def lock(self, update: bool = True, copy: bool = True) -> Select: -2440 """ -2441 Set the locking read mode for this expression. -2442 -2443 Examples: -2444 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") -2445 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" -2446 -2447 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") -2448 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" -2449 -2450 Args: -2451 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. -2452 copy: if `False`, modify this expression instance in-place. -2453 -2454 Returns: -2455 The modified expression. -2456 """ -2457 -2458 inst = _maybe_copy(self, copy) -2459 inst.set("lock", Lock(update=update)) -2460 -2461 return inst -2462 -2463 @property -2464 def named_selects(self) -> t.List[str]: -2465 return [e.output_name for e in self.expressions if e.alias_or_name] -2466 -2467 @property -2468 def is_star(self) -> bool: -2469 return any(expression.is_star for expression in self.expressions) +2439 Returns: +2440 Create: the CREATE TABLE AS expression +2441 """ +2442 instance = _maybe_copy(self, copy) +2443 table_expression = maybe_parse( +2444 table, +2445 into=Table, +2446 dialect=dialect, +2447 **opts, +2448 ) +2449 properties_expression = None +2450 if properties: +2451 properties_expression = Properties.from_dict(properties) +2452 +2453 return Create( +2454 this=table_expression, +2455 kind="table", +2456 expression=instance, +2457 properties=properties_expression, +2458 ) +2459 +2460 def lock(self, update: bool = True, copy: bool = True) -> Select: +2461 """ +2462 Set the locking read mode for this expression. +2463 +2464 Examples: +2465 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") +2466 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" +2467 +2468 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") +2469 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" 2470 -2471 @property -2472 def selects(self) -> t.List[Expression]: -2473 return self.expressions +2471 Args: +2472 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. +2473 copy: if `False`, modify this expression instance in-place. 2474 -2475 -2476class Subquery(DerivedTable, Unionable): -2477 arg_types = { -2478 "this": True, -2479 "alias": False, -2480 "with": False, -2481 **QUERY_MODIFIERS, -2482 } +2475 Returns: +2476 The modified expression. +2477 """ +2478 +2479 inst = _maybe_copy(self, copy) +2480 inst.set("lock", Lock(update=update)) +2481 +2482 return inst 2483 -2484 def unnest(self): -2485 """ -2486 Returns the first non subquery. -2487 """ -2488 expression = self -2489 while isinstance(expression, Subquery): -2490 expression = expression.this -2491 return expression -2492 -2493 @property -2494 def is_star(self) -> bool: -2495 return self.this.is_star +2484 @property +2485 def named_selects(self) -> t.List[str]: +2486 return [e.output_name for e in self.expressions if e.alias_or_name] +2487 +2488 @property +2489 def is_star(self) -> bool: +2490 return any(expression.is_star for expression in self.expressions) +2491 +2492 @property +2493 def selects(self) -> t.List[Expression]: +2494 return self.expressions +2495 2496 -2497 @property -2498 def output_name(self): -2499 return self.alias -2500 -2501 -2502class TableSample(Expression): -2503 arg_types = { -2504 "this": False, -2505 "method": False, -2506 "bucket_numerator": False, -2507 "bucket_denominator": False, -2508 "bucket_field": False, -2509 "percent": False, -2510 "rows": False, -2511 "size": False, -2512 "seed": False, -2513 } -2514 -2515 -2516class Tag(Expression): -2517 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" -2518 -2519 arg_types = { -2520 "this": False, -2521 "prefix": False, -2522 "postfix": False, -2523 } -2524 -2525 -2526class Pivot(Expression): -2527 arg_types = { -2528 "this": False, -2529 "alias": False, -2530 "expressions": True, -2531 "field": True, -2532 "unpivot": True, -2533 } -2534 +2497class Subquery(DerivedTable, Unionable): +2498 arg_types = { +2499 "this": True, +2500 "alias": False, +2501 "with": False, +2502 **QUERY_MODIFIERS, +2503 } +2504 +2505 def unnest(self): +2506 """ +2507 Returns the first non subquery. +2508 """ +2509 expression = self +2510 while isinstance(expression, Subquery): +2511 expression = expression.this +2512 return expression +2513 +2514 @property +2515 def is_star(self) -> bool: +2516 return self.this.is_star +2517 +2518 @property +2519 def output_name(self): +2520 return self.alias +2521 +2522 +2523class TableSample(Expression): +2524 arg_types = { +2525 "this": False, +2526 "method": False, +2527 "bucket_numerator": False, +2528 "bucket_denominator": False, +2529 "bucket_field": False, +2530 "percent": False, +2531 "rows": False, +2532 "size": False, +2533 "seed": False, +2534 } 2535 -2536class Window(Expression): -2537 arg_types = { -2538 "this": True, -2539 "partition_by": False, -2540 "order": False, -2541 "spec": False, -2542 "alias": False, -2543 } -2544 +2536 +2537class Tag(Expression): +2538 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" +2539 +2540 arg_types = { +2541 "this": False, +2542 "prefix": False, +2543 "postfix": False, +2544 } 2545 -2546class WindowSpec(Expression): -2547 arg_types = { -2548 "kind": False, -2549 "start": False, -2550 "start_side": False, -2551 "end": False, -2552 "end_side": False, -2553 } -2554 +2546 +2547class Pivot(Expression): +2548 arg_types = { +2549 "this": False, +2550 "alias": False, +2551 "expressions": True, +2552 "field": True, +2553 "unpivot": True, +2554 } 2555 -2556class Where(Expression): -2557 pass -2558 -2559 -2560class Star(Expression): -2561 arg_types = {"except": False, "replace": False} -2562 -2563 @property -2564 def name(self) -> str: -2565 return "*" +2556 +2557class Window(Expression): +2558 arg_types = { +2559 "this": True, +2560 "partition_by": False, +2561 "order": False, +2562 "spec": False, +2563 "alias": False, +2564 } +2565 2566 -2567 @property -2568 def output_name(self): -2569 return self.name -2570 -2571 -2572class Parameter(Expression): -2573 arg_types = {"this": True, "wrapped": False} -2574 +2567class WindowSpec(Expression): +2568 arg_types = { +2569 "kind": False, +2570 "start": False, +2571 "start_side": False, +2572 "end": False, +2573 "end_side": False, +2574 } 2575 -2576class SessionParameter(Expression): -2577 arg_types = {"this": True, "kind": False} -2578 +2576 +2577class Where(Expression): +2578 pass 2579 -2580class Placeholder(Expression): -2581 arg_types = {"this": False} -2582 +2580 +2581class Star(Expression): +2582 arg_types = {"except": False, "replace": False} 2583 -2584class Null(Condition): -2585 arg_types: t.Dict[str, t.Any] = {} -2586 -2587 @property -2588 def name(self) -> str: -2589 return "NULL" -2590 +2584 @property +2585 def name(self) -> str: +2586 return "*" +2587 +2588 @property +2589 def output_name(self): +2590 return self.name 2591 -2592class Boolean(Condition): -2593 pass -2594 +2592 +2593class Parameter(Expression): +2594 arg_types = {"this": True, "wrapped": False} 2595 -2596class DataType(Expression): -2597 arg_types = { -2598 "this": True, -2599 "expressions": False, -2600 "nested": False, -2601 "values": False, -2602 "prefix": False, -2603 } +2596 +2597class SessionParameter(Expression): +2598 arg_types = {"this": True, "kind": False} +2599 +2600 +2601class Placeholder(Expression): +2602 arg_types = {"this": False} +2603 2604 -2605 class Type(AutoName): -2606 CHAR = auto() -2607 NCHAR = auto() -2608 VARCHAR = auto() -2609 NVARCHAR = auto() -2610 TEXT = auto() -2611 MEDIUMTEXT = auto() -2612 LONGTEXT = auto() -2613 MEDIUMBLOB = auto() -2614 LONGBLOB = auto() -2615 BINARY = auto() -2616 VARBINARY = auto() -2617 INT = auto() -2618 TINYINT = auto() -2619 SMALLINT = auto() -2620 BIGINT = auto() -2621 FLOAT = auto() -2622 DOUBLE = auto() -2623 DECIMAL = auto() -2624 BOOLEAN = auto() -2625 JSON = auto() -2626 JSONB = auto() -2627 INTERVAL = auto() -2628 TIME = auto() -2629 TIMESTAMP = auto() -2630 TIMESTAMPTZ = auto() -2631 TIMESTAMPLTZ = auto() -2632 DATE = auto() -2633 DATETIME = auto() -2634 ARRAY = auto() -2635 MAP = auto() -2636 UUID = auto() -2637 GEOGRAPHY = auto() -2638 GEOMETRY = auto() -2639 STRUCT = auto() -2640 NULLABLE = auto() -2641 HLLSKETCH = auto() -2642 HSTORE = auto() -2643 SUPER = auto() -2644 SERIAL = auto() -2645 SMALLSERIAL = auto() -2646 BIGSERIAL = auto() -2647 XML = auto() -2648 UNIQUEIDENTIFIER = auto() -2649 MONEY = auto() -2650 SMALLMONEY = auto() -2651 ROWVERSION = auto() -2652 IMAGE = auto() -2653 VARIANT = auto() -2654 OBJECT = auto() -2655 INET = auto() -2656 NULL = auto() -2657 UNKNOWN = auto() # Sentinel value, useful for type annotation -2658 -2659 TEXT_TYPES = { -2660 Type.CHAR, -2661 Type.NCHAR, -2662 Type.VARCHAR, -2663 Type.NVARCHAR, -2664 Type.TEXT, -2665 } -2666 -2667 INTEGER_TYPES = { -2668 Type.INT, -2669 Type.TINYINT, -2670 Type.SMALLINT, -2671 Type.BIGINT, -2672 } -2673 -2674 FLOAT_TYPES = { -2675 Type.FLOAT, -2676 Type.DOUBLE, -2677 } -2678 -2679 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} -2680 -2681 TEMPORAL_TYPES = { -2682 Type.TIMESTAMP, -2683 Type.TIMESTAMPTZ, -2684 Type.TIMESTAMPLTZ, -2685 Type.DATE, -2686 Type.DATETIME, -2687 } -2688 -2689 @classmethod -2690 def build( -2691 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs -2692 ) -> DataType: -2693 from sqlglot import parse_one +2605class Null(Condition): +2606 arg_types: t.Dict[str, t.Any] = {} +2607 +2608 @property +2609 def name(self) -> str: +2610 return "NULL" +2611 +2612 +2613class Boolean(Condition): +2614 pass +2615 +2616 +2617class DataType(Expression): +2618 arg_types = { +2619 "this": True, +2620 "expressions": False, +2621 "nested": False, +2622 "values": False, +2623 "prefix": False, +2624 } +2625 +2626 class Type(AutoName): +2627 CHAR = auto() +2628 NCHAR = auto() +2629 VARCHAR = auto() +2630 NVARCHAR = auto() +2631 TEXT = auto() +2632 MEDIUMTEXT = auto() +2633 LONGTEXT = auto() +2634 MEDIUMBLOB = auto() +2635 LONGBLOB = auto() +2636 BINARY = auto() +2637 VARBINARY = auto() +2638 INT = auto() +2639 TINYINT = auto() +2640 SMALLINT = auto() +2641 BIGINT = auto() +2642 FLOAT = auto() +2643 DOUBLE = auto() +2644 DECIMAL = auto() +2645 BOOLEAN = auto() +2646 JSON = auto() +2647 JSONB = auto() +2648 INTERVAL = auto() +2649 TIME = auto() +2650 TIMESTAMP = auto() +2651 TIMESTAMPTZ = auto() +2652 TIMESTAMPLTZ = auto() +2653 DATE = auto() +2654 DATETIME = auto() +2655 ARRAY = auto() +2656 MAP = auto() +2657 UUID = auto() +2658 GEOGRAPHY = auto() +2659 GEOMETRY = auto() +2660 STRUCT = auto() +2661 NULLABLE = auto() +2662 HLLSKETCH = auto() +2663 HSTORE = auto() +2664 SUPER = auto() +2665 SERIAL = auto() +2666 SMALLSERIAL = auto() +2667 BIGSERIAL = auto() +2668 XML = auto() +2669 UNIQUEIDENTIFIER = auto() +2670 MONEY = auto() +2671 SMALLMONEY = auto() +2672 ROWVERSION = auto() +2673 IMAGE = auto() +2674 VARIANT = auto() +2675 OBJECT = auto() +2676 INET = auto() +2677 NULL = auto() +2678 UNKNOWN = auto() # Sentinel value, useful for type annotation +2679 +2680 TEXT_TYPES = { +2681 Type.CHAR, +2682 Type.NCHAR, +2683 Type.VARCHAR, +2684 Type.NVARCHAR, +2685 Type.TEXT, +2686 } +2687 +2688 INTEGER_TYPES = { +2689 Type.INT, +2690 Type.TINYINT, +2691 Type.SMALLINT, +2692 Type.BIGINT, +2693 } 2694 -2695 if isinstance(dtype, str): -2696 if dtype.upper() in cls.Type.__members__: -2697 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()]) -2698 else: -2699 data_type_exp = parse_one(dtype, read=dialect, into=DataType) -2700 if data_type_exp is None: -2701 raise ValueError(f"Unparsable data type value: {dtype}") -2702 elif isinstance(dtype, DataType.Type): -2703 data_type_exp = DataType(this=dtype) -2704 elif isinstance(dtype, DataType): -2705 return dtype -2706 else: -2707 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") -2708 return DataType(**{**data_type_exp.args, **kwargs}) +2695 FLOAT_TYPES = { +2696 Type.FLOAT, +2697 Type.DOUBLE, +2698 } +2699 +2700 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} +2701 +2702 TEMPORAL_TYPES = { +2703 Type.TIMESTAMP, +2704 Type.TIMESTAMPTZ, +2705 Type.TIMESTAMPLTZ, +2706 Type.DATE, +2707 Type.DATETIME, +2708 } 2709 -2710 def is_type(self, dtype: DataType.Type) -> bool: -2711 return self.this == dtype -2712 -2713 -2714# https://www.postgresql.org/docs/15/datatype-pseudo.html -2715class PseudoType(Expression): -2716 pass -2717 -2718 -2719class StructKwarg(Expression): -2720 arg_types = {"this": True, "expression": True} -2721 -2722 -2723# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) -2724class SubqueryPredicate(Predicate): -2725 pass -2726 -2727 -2728class All(SubqueryPredicate): -2729 pass +2710 @classmethod +2711 def build( +2712 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs +2713 ) -> DataType: +2714 from sqlglot import parse_one +2715 +2716 if isinstance(dtype, str): +2717 if dtype.upper() in cls.Type.__members__: +2718 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()]) +2719 else: +2720 data_type_exp = parse_one(dtype, read=dialect, into=DataType) +2721 if data_type_exp is None: +2722 raise ValueError(f"Unparsable data type value: {dtype}") +2723 elif isinstance(dtype, DataType.Type): +2724 data_type_exp = DataType(this=dtype) +2725 elif isinstance(dtype, DataType): +2726 return dtype +2727 else: +2728 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") +2729 return DataType(**{**data_type_exp.args, **kwargs}) 2730 -2731 -2732class Any(SubqueryPredicate): -2733 pass +2731 def is_type(self, dtype: DataType.Type) -> bool: +2732 return self.this == dtype +2733 2734 -2735 -2736class Exists(SubqueryPredicate): +2735# https://www.postgresql.org/docs/15/datatype-pseudo.html +2736class PseudoType(Expression): 2737 pass 2738 2739 -2740# Commands to interact with the databases or engines. For most of the command -2741# expressions we parse whatever comes after the command's name as a string. -2742class Command(Expression): -2743 arg_types = {"this": True, "expression": False} -2744 -2745 -2746class Transaction(Expression): -2747 arg_types = {"this": False, "modes": False} +2740class StructKwarg(Expression): +2741 arg_types = {"this": True, "expression": True} +2742 +2743 +2744# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) +2745class SubqueryPredicate(Predicate): +2746 pass +2747 2748 -2749 -2750class Commit(Expression): -2751 arg_types = {"chain": False} +2749class All(SubqueryPredicate): +2750 pass +2751 2752 -2753 -2754class Rollback(Expression): -2755 arg_types = {"savepoint": False} +2753class Any(SubqueryPredicate): +2754 pass +2755 2756 -2757 -2758class AlterTable(Expression): -2759 arg_types = {"this": True, "actions": True, "exists": False} +2757class Exists(SubqueryPredicate): +2758 pass +2759 2760 -2761 -2762class AddConstraint(Expression): -2763 arg_types = {"this": False, "expression": False, "enforced": False} -2764 +2761# Commands to interact with the databases or engines. For most of the command +2762# expressions we parse whatever comes after the command's name as a string. +2763class Command(Expression): +2764 arg_types = {"this": True, "expression": False} 2765 -2766class DropPartition(Expression): -2767 arg_types = {"expressions": True, "exists": False} -2768 +2766 +2767class Transaction(Expression): +2768 arg_types = {"this": False, "modes": False} 2769 -2770# Binary expressions like (ADD a b) -2771class Binary(Expression): -2772 arg_types = {"this": True, "expression": True} +2770 +2771class Commit(Expression): +2772 arg_types = {"chain": False} 2773 -2774 @property -2775 def left(self): -2776 return self.this +2774 +2775class Rollback(Expression): +2776 arg_types = {"savepoint": False} 2777 -2778 @property -2779 def right(self): -2780 return self.expression +2778 +2779class AlterTable(Expression): +2780 arg_types = {"this": True, "actions": True, "exists": False} 2781 2782 -2783class Add(Binary): -2784 pass +2783class AddConstraint(Expression): +2784 arg_types = {"this": False, "expression": False, "enforced": False} 2785 2786 -2787class Connector(Binary, Condition): -2788 pass +2787class DropPartition(Expression): +2788 arg_types = {"expressions": True, "exists": False} 2789 2790 -2791class And(Connector): -2792 pass -2793 +2791# Binary expressions like (ADD a b) +2792class Binary(Expression): +2793 arg_types = {"this": True, "expression": True} 2794 -2795class Or(Connector): -2796 pass -2797 +2795 @property +2796 def left(self): +2797 return self.this 2798 -2799class BitwiseAnd(Binary): -2800 pass -2801 +2799 @property +2800 def right(self): +2801 return self.expression 2802 -2803class BitwiseLeftShift(Binary): -2804 pass -2805 +2803 +2804class Add(Binary): +2805 pass 2806 -2807class BitwiseOr(Binary): -2808 pass -2809 +2807 +2808class Connector(Binary, Condition): +2809 pass 2810 -2811class BitwiseRightShift(Binary): -2812 pass -2813 +2811 +2812class And(Connector): +2813 pass 2814 -2815class BitwiseXor(Binary): -2816 pass -2817 +2815 +2816class Or(Connector): +2817 pass 2818 -2819class Div(Binary): -2820 pass -2821 +2819 +2820class BitwiseAnd(Binary): +2821 pass 2822 -2823class Dot(Binary): -2824 @property -2825 def name(self) -> str: -2826 return self.expression.name +2823 +2824class BitwiseLeftShift(Binary): +2825 pass +2826 2827 -2828 -2829class DPipe(Binary): -2830 pass +2828class BitwiseOr(Binary): +2829 pass +2830 2831 -2832 -2833class EQ(Binary, Predicate): -2834 pass +2832class BitwiseRightShift(Binary): +2833 pass +2834 2835 -2836 -2837class NullSafeEQ(Binary, Predicate): -2838 pass +2836class BitwiseXor(Binary): +2837 pass +2838 2839 -2840 -2841class NullSafeNEQ(Binary, Predicate): -2842 pass +2840class Div(Binary): +2841 pass +2842 2843 -2844 -2845class Distance(Binary): -2846 pass +2844class Overlaps(Binary): +2845 pass +2846 2847 -2848 -2849class Escape(Binary): -2850 pass -2851 +2848class Dot(Binary): +2849 @property +2850 def name(self) -> str: +2851 return self.expression.name 2852 -2853class Glob(Binary, Predicate): -2854 pass -2855 +2853 +2854class DPipe(Binary): +2855 pass 2856 -2857class GT(Binary, Predicate): -2858 pass -2859 +2857 +2858class EQ(Binary, Predicate): +2859 pass 2860 -2861class GTE(Binary, Predicate): -2862 pass -2863 +2861 +2862class NullSafeEQ(Binary, Predicate): +2863 pass 2864 -2865class ILike(Binary, Predicate): -2866 pass -2867 +2865 +2866class NullSafeNEQ(Binary, Predicate): +2867 pass 2868 -2869class ILikeAny(Binary, Predicate): -2870 pass -2871 +2869 +2870class Distance(Binary): +2871 pass 2872 -2873class IntDiv(Binary): -2874 pass -2875 +2873 +2874class Escape(Binary): +2875 pass 2876 -2877class Is(Binary, Predicate): -2878 pass -2879 +2877 +2878class Glob(Binary, Predicate): +2879 pass 2880 -2881class Kwarg(Binary): -2882 """Kwarg in special functions like func(kwarg => y).""" -2883 +2881 +2882class GT(Binary, Predicate): +2883 pass 2884 -2885class Like(Binary, Predicate): -2886 pass -2887 +2885 +2886class GTE(Binary, Predicate): +2887 pass 2888 -2889class LikeAny(Binary, Predicate): -2890 pass -2891 +2889 +2890class ILike(Binary, Predicate): +2891 pass 2892 -2893class LT(Binary, Predicate): -2894 pass -2895 +2893 +2894class ILikeAny(Binary, Predicate): +2895 pass 2896 -2897class LTE(Binary, Predicate): -2898 pass -2899 +2897 +2898class IntDiv(Binary): +2899 pass 2900 -2901class Mod(Binary): -2902 pass -2903 +2901 +2902class Is(Binary, Predicate): +2903 pass 2904 -2905class Mul(Binary): -2906 pass -2907 +2905 +2906class Kwarg(Binary): +2907 """Kwarg in special functions like func(kwarg => y).""" 2908 -2909class NEQ(Binary, Predicate): -2910 pass -2911 +2909 +2910class Like(Binary, Predicate): +2911 pass 2912 -2913class SimilarTo(Binary, Predicate): -2914 pass -2915 +2913 +2914class LikeAny(Binary, Predicate): +2915 pass 2916 -2917class Slice(Binary): -2918 arg_types = {"this": False, "expression": False} -2919 +2917 +2918class LT(Binary, Predicate): +2919 pass 2920 -2921class Sub(Binary): -2922 pass -2923 +2921 +2922class LTE(Binary, Predicate): +2923 pass 2924 -2925# Unary Expressions -2926# (NOT a) -2927class Unary(Expression): -2928 pass +2925 +2926class Mod(Binary): +2927 pass +2928 2929 -2930 -2931class BitwiseNot(Unary): -2932 pass +2930class Mul(Binary): +2931 pass +2932 2933 -2934 -2935class Not(Unary, Condition): -2936 pass +2934class NEQ(Binary, Predicate): +2935 pass +2936 2937 -2938 -2939class Paren(Unary, Condition): -2940 arg_types = {"this": True, "with": False} +2938class SimilarTo(Binary, Predicate): +2939 pass +2940 2941 -2942 -2943class Neg(Unary): -2944 pass +2942class Slice(Binary): +2943 arg_types = {"this": False, "expression": False} +2944 2945 -2946 -2947# Special Functions -2948class Alias(Expression): -2949 arg_types = {"this": True, "alias": False} -2950 -2951 @property -2952 def output_name(self): -2953 return self.alias +2946class Sub(Binary): +2947 pass +2948 +2949 +2950# Unary Expressions +2951# (NOT a) +2952class Unary(Expression): +2953 pass 2954 2955 -2956class Aliases(Expression): -2957 arg_types = {"this": True, "expressions": True} +2956class BitwiseNot(Unary): +2957 pass 2958 -2959 @property -2960 def aliases(self): -2961 return self.expressions +2959 +2960class Not(Unary, Condition): +2961 pass 2962 2963 -2964class AtTimeZone(Expression): -2965 arg_types = {"this": True, "zone": True} +2964class Paren(Unary, Condition): +2965 arg_types = {"this": True, "with": False} 2966 2967 -2968class Between(Predicate): -2969 arg_types = {"this": True, "low": True, "high": True} +2968class Neg(Unary): +2969 pass 2970 2971 -2972class Bracket(Condition): -2973 arg_types = {"this": True, "expressions": True} -2974 +2972# Special Functions +2973class Alias(Expression): +2974 arg_types = {"this": True, "alias": False} 2975 -2976class Distinct(Expression): -2977 arg_types = {"expressions": False, "on": False} -2978 +2976 @property +2977 def output_name(self): +2978 return self.alias 2979 -2980class In(Predicate): -2981 arg_types = { -2982 "this": True, -2983 "expressions": False, -2984 "query": False, -2985 "unnest": False, -2986 "field": False, -2987 "is_global": False, -2988 } -2989 -2990 -2991class TimeUnit(Expression): -2992 """Automatically converts unit arg into a var.""" -2993 -2994 arg_types = {"unit": False} +2980 +2981class Aliases(Expression): +2982 arg_types = {"this": True, "expressions": True} +2983 +2984 @property +2985 def aliases(self): +2986 return self.expressions +2987 +2988 +2989class AtTimeZone(Expression): +2990 arg_types = {"this": True, "zone": True} +2991 +2992 +2993class Between(Predicate): +2994 arg_types = {"this": True, "low": True, "high": True} 2995 -2996 def __init__(self, **args): -2997 unit = args.get("unit") -2998 if isinstance(unit, Column): -2999 args["unit"] = Var(this=unit.name) -3000 elif isinstance(unit, Week): -3001 unit.set("this", Var(this=unit.this.name)) -3002 super().__init__(**args) +2996 +2997class Bracket(Condition): +2998 arg_types = {"this": True, "expressions": True} +2999 +3000 +3001class Distinct(Expression): +3002 arg_types = {"expressions": False, "on": False} 3003 3004 -3005class Interval(TimeUnit): -3006 arg_types = {"this": False, "unit": False} -3007 -3008 -3009class IgnoreNulls(Expression): -3010 pass -3011 -3012 -3013class RespectNulls(Expression): -3014 pass +3005class In(Predicate): +3006 arg_types = { +3007 "this": True, +3008 "expressions": False, +3009 "query": False, +3010 "unnest": False, +3011 "field": False, +3012 "is_global": False, +3013 } +3014 3015 -3016 -3017# Functions -3018class Func(Condition): -3019 """ -3020 The base class for all function expressions. -3021 -3022 Attributes: -3023 is_var_len_args (bool): if set to True the last argument defined in arg_types will be -3024 treated as a variable length argument and the argument's value will be stored as a list. -3025 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) -3026 for this function expression. These values are used to map this node to a name during parsing -3027 as well as to provide the function's name during SQL string generation. By default the SQL -3028 name is set to the expression's class name transformed to snake case. -3029 """ -3030 -3031 is_var_len_args = False +3016class TimeUnit(Expression): +3017 """Automatically converts unit arg into a var.""" +3018 +3019 arg_types = {"unit": False} +3020 +3021 def __init__(self, **args): +3022 unit = args.get("unit") +3023 if isinstance(unit, Column): +3024 args["unit"] = Var(this=unit.name) +3025 elif isinstance(unit, Week): +3026 unit.set("this", Var(this=unit.this.name)) +3027 super().__init__(**args) +3028 +3029 +3030class Interval(TimeUnit): +3031 arg_types = {"this": False, "unit": False} 3032 -3033 @classmethod -3034 def from_arg_list(cls, args): -3035 if cls.is_var_len_args: -3036 all_arg_keys = list(cls.arg_types) -3037 # If this function supports variable length argument treat the last argument as such. -3038 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys -3039 num_non_var = len(non_var_len_arg_keys) +3033 +3034class IgnoreNulls(Expression): +3035 pass +3036 +3037 +3038class RespectNulls(Expression): +3039 pass 3040 -3041 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} -3042 args_dict[all_arg_keys[-1]] = args[num_non_var:] -3043 else: -3044 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} -3045 -3046 return cls(**args_dict) -3047 -3048 @classmethod -3049 def sql_names(cls): -3050 if cls is Func: -3051 raise NotImplementedError( -3052 "SQL name is only supported by concrete function implementations" -3053 ) -3054 if "_sql_names" not in cls.__dict__: -3055 cls._sql_names = [camel_to_snake_case(cls.__name__)] -3056 return cls._sql_names +3041 +3042# Functions +3043class Func(Condition): +3044 """ +3045 The base class for all function expressions. +3046 +3047 Attributes: +3048 is_var_len_args (bool): if set to True the last argument defined in arg_types will be +3049 treated as a variable length argument and the argument's value will be stored as a list. +3050 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) +3051 for this function expression. These values are used to map this node to a name during parsing +3052 as well as to provide the function's name during SQL string generation. By default the SQL +3053 name is set to the expression's class name transformed to snake case. +3054 """ +3055 +3056 is_var_len_args = False 3057 3058 @classmethod -3059 def sql_name(cls): -3060 return cls.sql_names()[0] -3061 -3062 @classmethod -3063 def default_parser_mappings(cls): -3064 return {name: cls.from_arg_list for name in cls.sql_names()} +3059 def from_arg_list(cls, args): +3060 if cls.is_var_len_args: +3061 all_arg_keys = list(cls.arg_types) +3062 # If this function supports variable length argument treat the last argument as such. +3063 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys +3064 num_non_var = len(non_var_len_arg_keys) 3065 -3066 -3067class AggFunc(Func): -3068 pass -3069 +3066 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} +3067 args_dict[all_arg_keys[-1]] = args[num_non_var:] +3068 else: +3069 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} 3070 -3071class Abs(Func): -3072 pass -3073 -3074 -3075class Anonymous(Func): -3076 arg_types = {"this": True, "expressions": False} -3077 is_var_len_args = True -3078 -3079 -3080class ApproxDistinct(AggFunc): -3081 arg_types = {"this": True, "accuracy": False} +3071 return cls(**args_dict) +3072 +3073 @classmethod +3074 def sql_names(cls): +3075 if cls is Func: +3076 raise NotImplementedError( +3077 "SQL name is only supported by concrete function implementations" +3078 ) +3079 if "_sql_names" not in cls.__dict__: +3080 cls._sql_names = [camel_to_snake_case(cls.__name__)] +3081 return cls._sql_names 3082 -3083 -3084class Array(Func): -3085 arg_types = {"expressions": False} -3086 is_var_len_args = True -3087 -3088 -3089class GenerateSeries(Func): -3090 arg_types = {"start": True, "end": True, "step": False} +3083 @classmethod +3084 def sql_name(cls): +3085 return cls.sql_names()[0] +3086 +3087 @classmethod +3088 def default_parser_mappings(cls): +3089 return {name: cls.from_arg_list for name in cls.sql_names()} +3090 3091 -3092 -3093class ArrayAgg(AggFunc): -3094 pass +3092class AggFunc(Func): +3093 pass +3094 3095 -3096 -3097class ArrayAll(Func): -3098 arg_types = {"this": True, "expression": True} +3096class Abs(Func): +3097 pass +3098 3099 -3100 -3101class ArrayAny(Func): -3102 arg_types = {"this": True, "expression": True} +3100class Anonymous(Func): +3101 arg_types = {"this": True, "expressions": False} +3102 is_var_len_args = True 3103 3104 -3105class ArrayConcat(Func): -3106 arg_types = {"this": True, "expressions": False} -3107 is_var_len_args = True +3105class ApproxDistinct(AggFunc): +3106 arg_types = {"this": True, "accuracy": False} +3107 3108 -3109 -3110class ArrayContains(Func): -3111 arg_types = {"this": True, "expression": True} +3109class Array(Func): +3110 arg_types = {"expressions": False} +3111 is_var_len_args = True 3112 3113 -3114class ArrayFilter(Func): -3115 arg_types = {"this": True, "expression": True} -3116 _sql_names = ["FILTER", "ARRAY_FILTER"] +3114class GenerateSeries(Func): +3115 arg_types = {"start": True, "end": True, "step": False} +3116 3117 -3118 -3119class ArraySize(Func): -3120 arg_types = {"this": True, "expression": False} +3118class ArrayAgg(AggFunc): +3119 pass +3120 3121 -3122 -3123class ArraySort(Func): -3124 arg_types = {"this": True, "expression": False} +3122class ArrayAll(Func): +3123 arg_types = {"this": True, "expression": True} +3124 3125 -3126 -3127class ArraySum(Func): -3128 pass +3126class ArrayAny(Func): +3127 arg_types = {"this": True, "expression": True} +3128 3129 -3130 -3131class ArrayUnionAgg(AggFunc): -3132 pass +3130class ArrayConcat(Func): +3131 arg_types = {"this": True, "expressions": False} +3132 is_var_len_args = True 3133 3134 -3135class Avg(AggFunc): -3136 pass +3135class ArrayContains(Func): +3136 arg_types = {"this": True, "expression": True} 3137 3138 -3139class AnyValue(AggFunc): -3140 pass -3141 +3139class ArrayFilter(Func): +3140 arg_types = {"this": True, "expression": True} +3141 _sql_names = ["FILTER", "ARRAY_FILTER"] 3142 -3143class Case(Func): -3144 arg_types = {"this": False, "ifs": True, "default": False} -3145 +3143 +3144class ArrayJoin(Func): +3145 arg_types = {"this": True, "expression": True, "null": False} 3146 -3147class Cast(Func): -3148 arg_types = {"this": True, "to": True} -3149 -3150 @property -3151 def name(self) -> str: -3152 return self.this.name -3153 -3154 @property -3155 def to(self): -3156 return self.args["to"] -3157 -3158 @property -3159 def output_name(self): -3160 return self.name -3161 -3162 def is_type(self, dtype: DataType.Type) -> bool: -3163 return self.to.is_type(dtype) -3164 -3165 -3166class Collate(Binary): -3167 pass -3168 -3169 -3170class TryCast(Cast): -3171 pass -3172 -3173 -3174class Ceil(Func): -3175 arg_types = {"this": True, "decimals": False} -3176 _sql_names = ["CEIL", "CEILING"] -3177 +3147 +3148class ArraySize(Func): +3149 arg_types = {"this": True, "expression": False} +3150 +3151 +3152class ArraySort(Func): +3153 arg_types = {"this": True, "expression": False} +3154 +3155 +3156class ArraySum(Func): +3157 pass +3158 +3159 +3160class ArrayUnionAgg(AggFunc): +3161 pass +3162 +3163 +3164class Avg(AggFunc): +3165 pass +3166 +3167 +3168class AnyValue(AggFunc): +3169 pass +3170 +3171 +3172class Case(Func): +3173 arg_types = {"this": False, "ifs": True, "default": False} +3174 +3175 +3176class Cast(Func): +3177 arg_types = {"this": True, "to": True} 3178 -3179class Coalesce(Func): -3180 arg_types = {"this": True, "expressions": False} -3181 is_var_len_args = True +3179 @property +3180 def name(self) -> str: +3181 return self.this.name 3182 -3183 -3184class Concat(Func): -3185 arg_types = {"expressions": True} -3186 is_var_len_args = True -3187 -3188 -3189class ConcatWs(Concat): -3190 _sql_names = ["CONCAT_WS"] -3191 -3192 -3193class Count(AggFunc): -3194 arg_types = {"this": False} -3195 -3196 -3197class CurrentDate(Func): -3198 arg_types = {"this": False} -3199 -3200 -3201class CurrentDatetime(Func): -3202 arg_types = {"this": False} -3203 -3204 -3205class CurrentTime(Func): -3206 arg_types = {"this": False} +3183 @property +3184 def to(self): +3185 return self.args["to"] +3186 +3187 @property +3188 def output_name(self): +3189 return self.name +3190 +3191 def is_type(self, dtype: DataType.Type) -> bool: +3192 return self.to.is_type(dtype) +3193 +3194 +3195class Collate(Binary): +3196 pass +3197 +3198 +3199class TryCast(Cast): +3200 pass +3201 +3202 +3203class Ceil(Func): +3204 arg_types = {"this": True, "decimals": False} +3205 _sql_names = ["CEIL", "CEILING"] +3206 3207 -3208 -3209class CurrentTimestamp(Func): -3210 arg_types = {"this": False} +3208class Coalesce(Func): +3209 arg_types = {"this": True, "expressions": False} +3210 is_var_len_args = True 3211 3212 -3213class DateAdd(Func, TimeUnit): -3214 arg_types = {"this": True, "expression": True, "unit": False} -3215 +3213class Concat(Func): +3214 arg_types = {"expressions": True} +3215 is_var_len_args = True 3216 -3217class DateSub(Func, TimeUnit): -3218 arg_types = {"this": True, "expression": True, "unit": False} -3219 +3217 +3218class ConcatWs(Concat): +3219 _sql_names = ["CONCAT_WS"] 3220 -3221class DateDiff(Func, TimeUnit): -3222 arg_types = {"this": True, "expression": True, "unit": False} -3223 +3221 +3222class Count(AggFunc): +3223 arg_types = {"this": False} 3224 -3225class DateTrunc(Func): -3226 arg_types = {"unit": True, "this": True, "zone": False} -3227 +3225 +3226class CurrentDate(Func): +3227 arg_types = {"this": False} 3228 -3229class DatetimeAdd(Func, TimeUnit): -3230 arg_types = {"this": True, "expression": True, "unit": False} -3231 +3229 +3230class CurrentDatetime(Func): +3231 arg_types = {"this": False} 3232 -3233class DatetimeSub(Func, TimeUnit): -3234 arg_types = {"this": True, "expression": True, "unit": False} -3235 +3233 +3234class CurrentTime(Func): +3235 arg_types = {"this": False} 3236 -3237class DatetimeDiff(Func, TimeUnit): -3238 arg_types = {"this": True, "expression": True, "unit": False} -3239 +3237 +3238class CurrentTimestamp(Func): +3239 arg_types = {"this": False} 3240 -3241class DatetimeTrunc(Func, TimeUnit): -3242 arg_types = {"this": True, "unit": True, "zone": False} -3243 +3241 +3242class DateAdd(Func, TimeUnit): +3243 arg_types = {"this": True, "expression": True, "unit": False} 3244 -3245class DayOfWeek(Func): -3246 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] -3247 +3245 +3246class DateSub(Func, TimeUnit): +3247 arg_types = {"this": True, "expression": True, "unit": False} 3248 -3249class DayOfMonth(Func): -3250 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] -3251 +3249 +3250class DateDiff(Func, TimeUnit): +3251 arg_types = {"this": True, "expression": True, "unit": False} 3252 -3253class DayOfYear(Func): -3254 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] -3255 +3253 +3254class DateTrunc(Func): +3255 arg_types = {"unit": True, "this": True, "zone": False} 3256 -3257class WeekOfYear(Func): -3258 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] -3259 +3257 +3258class DatetimeAdd(Func, TimeUnit): +3259 arg_types = {"this": True, "expression": True, "unit": False} 3260 -3261class LastDateOfMonth(Func): -3262 pass -3263 +3261 +3262class DatetimeSub(Func, TimeUnit): +3263 arg_types = {"this": True, "expression": True, "unit": False} 3264 -3265class Extract(Func): -3266 arg_types = {"this": True, "expression": True} -3267 +3265 +3266class DatetimeDiff(Func, TimeUnit): +3267 arg_types = {"this": True, "expression": True, "unit": False} 3268 -3269class TimestampAdd(Func, TimeUnit): -3270 arg_types = {"this": True, "expression": True, "unit": False} -3271 +3269 +3270class DatetimeTrunc(Func, TimeUnit): +3271 arg_types = {"this": True, "unit": True, "zone": False} 3272 -3273class TimestampSub(Func, TimeUnit): -3274 arg_types = {"this": True, "expression": True, "unit": False} -3275 +3273 +3274class DayOfWeek(Func): +3275 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] 3276 -3277class TimestampDiff(Func, TimeUnit): -3278 arg_types = {"this": True, "expression": True, "unit": False} -3279 +3277 +3278class DayOfMonth(Func): +3279 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] 3280 -3281class TimestampTrunc(Func, TimeUnit): -3282 arg_types = {"this": True, "unit": True, "zone": False} -3283 +3281 +3282class DayOfYear(Func): +3283 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] 3284 -3285class TimeAdd(Func, TimeUnit): -3286 arg_types = {"this": True, "expression": True, "unit": False} -3287 +3285 +3286class WeekOfYear(Func): +3287 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] 3288 -3289class TimeSub(Func, TimeUnit): -3290 arg_types = {"this": True, "expression": True, "unit": False} -3291 +3289 +3290class LastDateOfMonth(Func): +3291 pass 3292 -3293class TimeDiff(Func, TimeUnit): -3294 arg_types = {"this": True, "expression": True, "unit": False} -3295 +3293 +3294class Extract(Func): +3295 arg_types = {"this": True, "expression": True} 3296 -3297class TimeTrunc(Func, TimeUnit): -3298 arg_types = {"this": True, "unit": True, "zone": False} -3299 +3297 +3298class TimestampAdd(Func, TimeUnit): +3299 arg_types = {"this": True, "expression": True, "unit": False} 3300 -3301class DateFromParts(Func): -3302 _sql_names = ["DATEFROMPARTS"] -3303 arg_types = {"year": True, "month": True, "day": True} +3301 +3302class TimestampSub(Func, TimeUnit): +3303 arg_types = {"this": True, "expression": True, "unit": False} 3304 3305 -3306class DateStrToDate(Func): -3307 pass +3306class TimestampDiff(Func, TimeUnit): +3307 arg_types = {"this": True, "expression": True, "unit": False} 3308 3309 -3310class DateToDateStr(Func): -3311 pass +3310class TimestampTrunc(Func, TimeUnit): +3311 arg_types = {"this": True, "unit": True, "zone": False} 3312 3313 -3314class DateToDi(Func): -3315 pass +3314class TimeAdd(Func, TimeUnit): +3315 arg_types = {"this": True, "expression": True, "unit": False} 3316 3317 -3318class Day(Func): -3319 pass +3318class TimeSub(Func, TimeUnit): +3319 arg_types = {"this": True, "expression": True, "unit": False} 3320 3321 -3322class Decode(Func): -3323 arg_types = {"this": True, "charset": True, "replace": False} +3322class TimeDiff(Func, TimeUnit): +3323 arg_types = {"this": True, "expression": True, "unit": False} 3324 3325 -3326class DiToDate(Func): -3327 pass +3326class TimeTrunc(Func, TimeUnit): +3327 arg_types = {"this": True, "unit": True, "zone": False} 3328 3329 -3330class Encode(Func): -3331 arg_types = {"this": True, "charset": True} -3332 +3330class DateFromParts(Func): +3331 _sql_names = ["DATEFROMPARTS"] +3332 arg_types = {"year": True, "month": True, "day": True} 3333 -3334class Exp(Func): -3335 pass -3336 +3334 +3335class DateStrToDate(Func): +3336 pass 3337 -3338class Explode(Func): -3339 pass -3340 +3338 +3339class DateToDateStr(Func): +3340 pass 3341 -3342class Floor(Func): -3343 arg_types = {"this": True, "decimals": False} -3344 +3342 +3343class DateToDi(Func): +3344 pass 3345 -3346class Greatest(Func): -3347 arg_types = {"this": True, "expressions": False} -3348 is_var_len_args = True +3346 +3347class Day(Func): +3348 pass 3349 3350 -3351class GroupConcat(Func): -3352 arg_types = {"this": True, "separator": False} +3351class Decode(Func): +3352 arg_types = {"this": True, "charset": True, "replace": False} 3353 3354 -3355class Hex(Func): +3355class DiToDate(Func): 3356 pass 3357 3358 -3359class If(Func): -3360 arg_types = {"this": True, "true": True, "false": False} +3359class Encode(Func): +3360 arg_types = {"this": True, "charset": True} 3361 3362 -3363class IfNull(Func): -3364 arg_types = {"this": True, "expression": False} -3365 _sql_names = ["IFNULL", "NVL"] +3363class Exp(Func): +3364 pass +3365 3366 -3367 -3368class Initcap(Func): -3369 pass +3367class Explode(Func): +3368 pass +3369 3370 -3371 -3372class JSONBContains(Binary): -3373 _sql_names = ["JSONB_CONTAINS"] +3371class Floor(Func): +3372 arg_types = {"this": True, "decimals": False} +3373 3374 -3375 -3376class JSONExtract(Binary, Func): -3377 _sql_names = ["JSON_EXTRACT"] +3375class Greatest(Func): +3376 arg_types = {"this": True, "expressions": False} +3377 is_var_len_args = True 3378 3379 -3380class JSONExtractScalar(JSONExtract): -3381 _sql_names = ["JSON_EXTRACT_SCALAR"] +3380class GroupConcat(Func): +3381 arg_types = {"this": True, "separator": False} 3382 3383 -3384class JSONBExtract(JSONExtract): -3385 _sql_names = ["JSONB_EXTRACT"] +3384class Hex(Func): +3385 pass 3386 3387 -3388class JSONBExtractScalar(JSONExtract): -3389 _sql_names = ["JSONB_EXTRACT_SCALAR"] +3388class If(Func): +3389 arg_types = {"this": True, "true": True, "false": False} 3390 3391 -3392class Least(Func): -3393 arg_types = {"this": True, "expressions": False} -3394 is_var_len_args = True +3392class IfNull(Func): +3393 arg_types = {"this": True, "expression": False} +3394 _sql_names = ["IFNULL", "NVL"] 3395 3396 -3397class Length(Func): +3397class Initcap(Func): 3398 pass 3399 3400 -3401class Levenshtein(Func): -3402 arg_types = { -3403 "this": True, -3404 "expression": False, -3405 "ins_cost": False, -3406 "del_cost": False, -3407 "sub_cost": False, -3408 } -3409 -3410 -3411class Ln(Func): -3412 pass -3413 -3414 -3415class Log(Func): -3416 arg_types = {"this": True, "expression": False} -3417 -3418 -3419class Log2(Func): -3420 pass -3421 -3422 -3423class Log10(Func): -3424 pass +3401class JSONBContains(Binary): +3402 _sql_names = ["JSONB_CONTAINS"] +3403 +3404 +3405class JSONExtract(Binary, Func): +3406 _sql_names = ["JSON_EXTRACT"] +3407 +3408 +3409class JSONExtractScalar(JSONExtract): +3410 _sql_names = ["JSON_EXTRACT_SCALAR"] +3411 +3412 +3413class JSONBExtract(JSONExtract): +3414 _sql_names = ["JSONB_EXTRACT"] +3415 +3416 +3417class JSONBExtractScalar(JSONExtract): +3418 _sql_names = ["JSONB_EXTRACT_SCALAR"] +3419 +3420 +3421class Least(Func): +3422 arg_types = {"this": True, "expressions": False} +3423 is_var_len_args = True +3424 3425 -3426 -3427class LogicalOr(AggFunc): -3428 _sql_names = ["LOGICAL_OR", "BOOL_OR"] +3426class Length(Func): +3427 pass +3428 3429 -3430 -3431class Lower(Func): -3432 _sql_names = ["LOWER", "LCASE"] -3433 -3434 -3435class Map(Func): -3436 arg_types = {"keys": False, "values": False} -3437 +3430class Levenshtein(Func): +3431 arg_types = { +3432 "this": True, +3433 "expression": False, +3434 "ins_cost": False, +3435 "del_cost": False, +3436 "sub_cost": False, +3437 } 3438 -3439class VarMap(Func): -3440 arg_types = {"keys": True, "values": True} -3441 is_var_len_args = True +3439 +3440class Ln(Func): +3441 pass 3442 3443 -3444class Matches(Func): -3445 """Oracle/Snowflake decode. -3446 https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm -3447 Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else) -3448 """ -3449 -3450 arg_types = {"this": True, "expressions": True} -3451 is_var_len_args = True -3452 -3453 -3454class Max(AggFunc): -3455 arg_types = {"this": True, "expression": False} -3456 -3457 -3458class Min(AggFunc): -3459 arg_types = {"this": True, "expression": False} -3460 -3461 -3462class Month(Func): -3463 pass -3464 -3465 -3466class Nvl2(Func): -3467 arg_types = {"this": True, "true": True, "false": False} -3468 -3469 -3470class Posexplode(Func): -3471 pass +3444class Log(Func): +3445 arg_types = {"this": True, "expression": False} +3446 +3447 +3448class Log2(Func): +3449 pass +3450 +3451 +3452class Log10(Func): +3453 pass +3454 +3455 +3456class LogicalOr(AggFunc): +3457 _sql_names = ["LOGICAL_OR", "BOOL_OR"] +3458 +3459 +3460class Lower(Func): +3461 _sql_names = ["LOWER", "LCASE"] +3462 +3463 +3464class Map(Func): +3465 arg_types = {"keys": False, "values": False} +3466 +3467 +3468class VarMap(Func): +3469 arg_types = {"keys": True, "values": True} +3470 is_var_len_args = True +3471 3472 -3473 -3474class Pow(Binary, Func): -3475 _sql_names = ["POWER", "POW"] -3476 -3477 -3478class PercentileCont(AggFunc): -3479 pass -3480 +3473class Matches(Func): +3474 """Oracle/Snowflake decode. +3475 https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm +3476 Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else) +3477 """ +3478 +3479 arg_types = {"this": True, "expressions": True} +3480 is_var_len_args = True 3481 -3482class PercentileDisc(AggFunc): -3483 pass -3484 +3482 +3483class Max(AggFunc): +3484 arg_types = {"this": True, "expression": False} 3485 -3486class Quantile(AggFunc): -3487 arg_types = {"this": True, "quantile": True} -3488 +3486 +3487class Min(AggFunc): +3488 arg_types = {"this": True, "expression": False} 3489 -3490# Clickhouse-specific: -3491# https://clickhouse.com/docs/en/sql-reference/aggregate-functions/reference/quantiles/#quantiles -3492class Quantiles(AggFunc): -3493 arg_types = {"parameters": True, "expressions": True} +3490 +3491class Month(Func): +3492 pass +3493 3494 -3495 -3496class QuantileIf(AggFunc): -3497 arg_types = {"parameters": True, "expressions": True} +3495class Nvl2(Func): +3496 arg_types = {"this": True, "true": True, "false": False} +3497 3498 -3499 -3500class ApproxQuantile(Quantile): -3501 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} +3499class Posexplode(Func): +3500 pass +3501 3502 -3503 -3504class ReadCSV(Func): -3505 _sql_names = ["READ_CSV"] -3506 is_var_len_args = True -3507 arg_types = {"this": True, "expressions": False} -3508 +3503class Pow(Binary, Func): +3504 _sql_names = ["POWER", "POW"] +3505 +3506 +3507class PercentileCont(AggFunc): +3508 pass 3509 -3510class Reduce(Func): -3511 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} -3512 +3510 +3511class PercentileDisc(AggFunc): +3512 pass 3513 -3514class RegexpExtract(Func): -3515 arg_types = { -3516 "this": True, -3517 "expression": True, -3518 "position": False, -3519 "occurrence": False, -3520 "group": False, -3521 } -3522 +3514 +3515class Quantile(AggFunc): +3516 arg_types = {"this": True, "quantile": True} +3517 +3518 +3519# Clickhouse-specific: +3520# https://clickhouse.com/docs/en/sql-reference/aggregate-functions/reference/quantiles/#quantiles +3521class Quantiles(AggFunc): +3522 arg_types = {"parameters": True, "expressions": True} 3523 -3524class RegexpLike(Func): -3525 arg_types = {"this": True, "expression": True, "flag": False} -3526 +3524 +3525class QuantileIf(AggFunc): +3526 arg_types = {"parameters": True, "expressions": True} 3527 -3528class RegexpILike(Func): -3529 arg_types = {"this": True, "expression": True, "flag": False} -3530 +3528 +3529class ApproxQuantile(Quantile): +3530 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} 3531 -3532class RegexpSplit(Func): -3533 arg_types = {"this": True, "expression": True} -3534 +3532 +3533class RangeN(Func): +3534 arg_types = {"this": True, "expressions": True, "each": False} 3535 -3536class Repeat(Func): -3537 arg_types = {"this": True, "times": True} -3538 -3539 -3540class Round(Func): -3541 arg_types = {"this": True, "decimals": False} +3536 +3537class ReadCSV(Func): +3538 _sql_names = ["READ_CSV"] +3539 is_var_len_args = True +3540 arg_types = {"this": True, "expressions": False} +3541 3542 -3543 -3544class RowNumber(Func): -3545 arg_types: t.Dict[str, t.Any] = {} +3543class Reduce(Func): +3544 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} +3545 3546 -3547 -3548class SafeDivide(Func): -3549 arg_types = {"this": True, "expression": True} -3550 -3551 -3552class SetAgg(AggFunc): -3553 pass -3554 +3547class RegexpExtract(Func): +3548 arg_types = { +3549 "this": True, +3550 "expression": True, +3551 "position": False, +3552 "occurrence": False, +3553 "group": False, +3554 } 3555 -3556class SortArray(Func): -3557 arg_types = {"this": True, "asc": False} -3558 +3556 +3557class RegexpLike(Func): +3558 arg_types = {"this": True, "expression": True, "flag": False} 3559 -3560class Split(Func): -3561 arg_types = {"this": True, "expression": True, "limit": False} -3562 +3560 +3561class RegexpILike(Func): +3562 arg_types = {"this": True, "expression": True, "flag": False} 3563 -3564# Start may be omitted in the case of postgres -3565# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 -3566class Substring(Func): -3567 arg_types = {"this": True, "start": False, "length": False} +3564 +3565class RegexpSplit(Func): +3566 arg_types = {"this": True, "expression": True} +3567 3568 -3569 -3570class StrPosition(Func): -3571 arg_types = { -3572 "this": True, -3573 "substr": True, -3574 "position": False, -3575 "instance": False, -3576 } -3577 -3578 -3579class StrToDate(Func): -3580 arg_types = {"this": True, "format": True} -3581 -3582 -3583class StrToTime(Func): -3584 arg_types = {"this": True, "format": True} -3585 -3586 -3587# Spark allows unix_timestamp() -3588# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html -3589class StrToUnix(Func): -3590 arg_types = {"this": False, "format": False} +3569class Repeat(Func): +3570 arg_types = {"this": True, "times": True} +3571 +3572 +3573class Round(Func): +3574 arg_types = {"this": True, "decimals": False} +3575 +3576 +3577class RowNumber(Func): +3578 arg_types: t.Dict[str, t.Any] = {} +3579 +3580 +3581class SafeDivide(Func): +3582 arg_types = {"this": True, "expression": True} +3583 +3584 +3585class SetAgg(AggFunc): +3586 pass +3587 +3588 +3589class SortArray(Func): +3590 arg_types = {"this": True, "asc": False} 3591 3592 -3593class NumberToStr(Func): -3594 arg_types = {"this": True, "format": True} +3593class Split(Func): +3594 arg_types = {"this": True, "expression": True, "limit": False} 3595 3596 -3597class Struct(Func): -3598 arg_types = {"expressions": True} -3599 is_var_len_args = True -3600 +3597# Start may be omitted in the case of postgres +3598# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 +3599class Substring(Func): +3600 arg_types = {"this": True, "start": False, "length": False} 3601 -3602class StructExtract(Func): -3603 arg_types = {"this": True, "expression": True} -3604 -3605 -3606class Sum(AggFunc): -3607 pass -3608 -3609 -3610class Sqrt(Func): -3611 pass -3612 -3613 -3614class Stddev(AggFunc): -3615 pass -3616 -3617 -3618class StddevPop(AggFunc): -3619 pass -3620 -3621 -3622class StddevSamp(AggFunc): -3623 pass +3602 +3603class StrPosition(Func): +3604 arg_types = { +3605 "this": True, +3606 "substr": True, +3607 "position": False, +3608 "instance": False, +3609 } +3610 +3611 +3612class StrToDate(Func): +3613 arg_types = {"this": True, "format": True} +3614 +3615 +3616class StrToTime(Func): +3617 arg_types = {"this": True, "format": True} +3618 +3619 +3620# Spark allows unix_timestamp() +3621# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html +3622class StrToUnix(Func): +3623 arg_types = {"this": False, "format": False} 3624 3625 -3626class TimeToStr(Func): +3626class NumberToStr(Func): 3627 arg_types = {"this": True, "format": True} 3628 3629 -3630class TimeToTimeStr(Func): -3631 pass -3632 +3630class Struct(Func): +3631 arg_types = {"expressions": True} +3632 is_var_len_args = True 3633 -3634class TimeToUnix(Func): -3635 pass -3636 +3634 +3635class StructExtract(Func): +3636 arg_types = {"this": True, "expression": True} 3637 -3638class TimeStrToDate(Func): -3639 pass -3640 +3638 +3639class Sum(AggFunc): +3640 pass 3641 -3642class TimeStrToTime(Func): -3643 pass -3644 +3642 +3643class Sqrt(Func): +3644 pass 3645 -3646class TimeStrToUnix(Func): -3647 pass -3648 +3646 +3647class Stddev(AggFunc): +3648 pass 3649 -3650class Trim(Func): -3651 arg_types = { -3652 "this": True, -3653 "expression": False, -3654 "position": False, -3655 "collation": False, -3656 } +3650 +3651class StddevPop(AggFunc): +3652 pass +3653 +3654 +3655class StddevSamp(AggFunc): +3656 pass 3657 3658 -3659class TsOrDsAdd(Func, TimeUnit): -3660 arg_types = {"this": True, "expression": True, "unit": False} +3659class TimeToStr(Func): +3660 arg_types = {"this": True, "format": True} 3661 3662 -3663class TsOrDsToDateStr(Func): +3663class TimeToTimeStr(Func): 3664 pass 3665 3666 -3667class TsOrDsToDate(Func): -3668 arg_types = {"this": True, "format": False} +3667class TimeToUnix(Func): +3668 pass 3669 3670 -3671class TsOrDiToDi(Func): +3671class TimeStrToDate(Func): 3672 pass 3673 3674 -3675class Unhex(Func): +3675class TimeStrToTime(Func): 3676 pass 3677 3678 -3679class UnixToStr(Func): -3680 arg_types = {"this": True, "format": False} +3679class TimeStrToUnix(Func): +3680 pass 3681 3682 -3683# https://prestodb.io/docs/current/functions/datetime.html -3684# presto has weird zone/hours/minutes -3685class UnixToTime(Func): -3686 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} -3687 -3688 SECONDS = Literal.string("seconds") -3689 MILLIS = Literal.string("millis") -3690 MICROS = Literal.string("micros") +3683class Trim(Func): +3684 arg_types = { +3685 "this": True, +3686 "expression": False, +3687 "position": False, +3688 "collation": False, +3689 } +3690 3691 -3692 -3693class UnixToTimeStr(Func): -3694 pass +3692class TsOrDsAdd(Func, TimeUnit): +3693 arg_types = {"this": True, "expression": True, "unit": False} +3694 3695 -3696 -3697class Upper(Func): -3698 _sql_names = ["UPPER", "UCASE"] +3696class TsOrDsToDateStr(Func): +3697 pass +3698 3699 -3700 -3701class Variance(AggFunc): -3702 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] +3700class TsOrDsToDate(Func): +3701 arg_types = {"this": True, "format": False} +3702 3703 -3704 -3705class VariancePop(AggFunc): -3706 _sql_names = ["VARIANCE_POP", "VAR_POP"] +3704class TsOrDiToDi(Func): +3705 pass +3706 3707 -3708 -3709class Week(Func): -3710 arg_types = {"this": True, "mode": False} +3708class Unhex(Func): +3709 pass +3710 3711 -3712 -3713class XMLTable(Func): -3714 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} +3712class UnixToStr(Func): +3713 arg_types = {"this": True, "format": False} +3714 3715 -3716 -3717class Year(Func): -3718 pass -3719 +3716# https://prestodb.io/docs/current/functions/datetime.html +3717# presto has weird zone/hours/minutes +3718class UnixToTime(Func): +3719 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} 3720 -3721class Use(Expression): -3722 arg_types = {"this": True, "kind": False} -3723 +3721 SECONDS = Literal.string("seconds") +3722 MILLIS = Literal.string("millis") +3723 MICROS = Literal.string("micros") 3724 -3725class Merge(Expression): -3726 arg_types = {"this": True, "using": True, "on": True, "expressions": True} -3727 +3725 +3726class UnixToTimeStr(Func): +3727 pass 3728 -3729class When(Func): -3730 arg_types = {"this": True, "then": True} -3731 +3729 +3730class Upper(Func): +3731 _sql_names = ["UPPER", "UCASE"] 3732 -3733def _norm_args(expression): -3734 args = {} -3735 -3736 for k, arg in expression.args.items(): -3737 if isinstance(arg, list): -3738 arg = [_norm_arg(a) for a in arg] -3739 if not arg: -3740 arg = None -3741 else: -3742 arg = _norm_arg(arg) -3743 -3744 if arg is not None and arg is not False: -3745 args[k] = arg -3746 -3747 return args +3733 +3734class Variance(AggFunc): +3735 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] +3736 +3737 +3738class VariancePop(AggFunc): +3739 _sql_names = ["VARIANCE_POP", "VAR_POP"] +3740 +3741 +3742class Week(Func): +3743 arg_types = {"this": True, "mode": False} +3744 +3745 +3746class XMLTable(Func): +3747 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} 3748 3749 -3750def _norm_arg(arg): -3751 return arg.lower() if isinstance(arg, str) else arg +3750class Year(Func): +3751 pass 3752 3753 -3754ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) -3755 +3754class Use(Expression): +3755 arg_types = {"this": True, "kind": False} 3756 -3757# Helpers -3758def maybe_parse( -3759 sql_or_expression: str | Expression, -3760 *, -3761 into: t.Optional[IntoType] = None, -3762 dialect: DialectType = None, -3763 prefix: t.Optional[str] = None, -3764 copy: bool = False, -3765 **opts, -3766) -> Expression: -3767 """Gracefully handle a possible string or expression. +3757 +3758class Merge(Expression): +3759 arg_types = {"this": True, "using": True, "on": True, "expressions": True} +3760 +3761 +3762class When(Func): +3763 arg_types = {"this": True, "then": True} +3764 +3765 +3766def _norm_args(expression): +3767 args = {} 3768 -3769 Example: -3770 >>> maybe_parse("1") -3771 (LITERAL this: 1, is_string: False) -3772 >>> maybe_parse(to_identifier("x")) -3773 (IDENTIFIER this: x, quoted: False) -3774 -3775 Args: -3776 sql_or_expression: the SQL code string or an expression -3777 into: the SQLGlot Expression to parse into -3778 dialect: the dialect used to parse the input expressions (in the case that an -3779 input expression is a SQL string). -3780 prefix: a string to prefix the sql with before it gets parsed -3781 (automatically includes a space) -3782 copy: whether or not to copy the expression. -3783 **opts: other options to use to parse the input expressions (again, in the case -3784 that an input expression is a SQL string). +3769 for k, arg in expression.args.items(): +3770 if isinstance(arg, list): +3771 arg = [_norm_arg(a) for a in arg] +3772 if not arg: +3773 arg = None +3774 else: +3775 arg = _norm_arg(arg) +3776 +3777 if arg is not None and arg is not False: +3778 args[k] = arg +3779 +3780 return args +3781 +3782 +3783def _norm_arg(arg): +3784 return arg.lower() if isinstance(arg, str) else arg 3785 -3786 Returns: -3787 Expression: the parsed or given expression. -3788 """ -3789 if isinstance(sql_or_expression, Expression): -3790 if copy: -3791 return sql_or_expression.copy() -3792 return sql_or_expression -3793 -3794 import sqlglot -3795 -3796 sql = str(sql_or_expression) -3797 if prefix: -3798 sql = f"{prefix} {sql}" -3799 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) -3800 +3786 +3787ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) +3788 +3789 +3790# Helpers +3791def maybe_parse( +3792 sql_or_expression: str | Expression, +3793 *, +3794 into: t.Optional[IntoType] = None, +3795 dialect: DialectType = None, +3796 prefix: t.Optional[str] = None, +3797 copy: bool = False, +3798 **opts, +3799) -> Expression: +3800 """Gracefully handle a possible string or expression. 3801 -3802def _maybe_copy(instance, copy=True): -3803 return instance.copy() if copy else instance -3804 -3805 -3806def _is_wrong_expression(expression, into): -3807 return isinstance(expression, Expression) and not isinstance(expression, into) -3808 -3809 -3810def _apply_builder( -3811 expression, -3812 instance, -3813 arg, -3814 copy=True, -3815 prefix=None, -3816 into=None, -3817 dialect=None, -3818 **opts, -3819): -3820 if _is_wrong_expression(expression, into): -3821 expression = into(this=expression) -3822 instance = _maybe_copy(instance, copy) -3823 expression = maybe_parse( -3824 sql_or_expression=expression, -3825 prefix=prefix, -3826 into=into, -3827 dialect=dialect, -3828 **opts, -3829 ) -3830 instance.set(arg, expression) -3831 return instance -3832 +3802 Example: +3803 >>> maybe_parse("1") +3804 (LITERAL this: 1, is_string: False) +3805 >>> maybe_parse(to_identifier("x")) +3806 (IDENTIFIER this: x, quoted: False) +3807 +3808 Args: +3809 sql_or_expression: the SQL code string or an expression +3810 into: the SQLGlot Expression to parse into +3811 dialect: the dialect used to parse the input expressions (in the case that an +3812 input expression is a SQL string). +3813 prefix: a string to prefix the sql with before it gets parsed +3814 (automatically includes a space) +3815 copy: whether or not to copy the expression. +3816 **opts: other options to use to parse the input expressions (again, in the case +3817 that an input expression is a SQL string). +3818 +3819 Returns: +3820 Expression: the parsed or given expression. +3821 """ +3822 if isinstance(sql_or_expression, Expression): +3823 if copy: +3824 return sql_or_expression.copy() +3825 return sql_or_expression +3826 +3827 import sqlglot +3828 +3829 sql = str(sql_or_expression) +3830 if prefix: +3831 sql = f"{prefix} {sql}" +3832 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) 3833 -3834def _apply_child_list_builder( -3835 *expressions, -3836 instance, -3837 arg, -3838 append=True, -3839 copy=True, -3840 prefix=None, -3841 into=None, -3842 dialect=None, -3843 properties=None, -3844 **opts, -3845): -3846 instance = _maybe_copy(instance, copy) -3847 parsed = [] -3848 for expression in expressions: -3849 if _is_wrong_expression(expression, into): -3850 expression = into(expressions=[expression]) -3851 expression = maybe_parse( -3852 expression, -3853 into=into, -3854 dialect=dialect, -3855 prefix=prefix, -3856 **opts, -3857 ) -3858 parsed.extend(expression.expressions) -3859 -3860 existing = instance.args.get(arg) -3861 if append and existing: -3862 parsed = existing.expressions + parsed -3863 -3864 child = into(expressions=parsed) -3865 for k, v in (properties or {}).items(): -3866 child.set(k, v) -3867 instance.set(arg, child) -3868 return instance -3869 -3870 -3871def _apply_list_builder( -3872 *expressions, -3873 instance, -3874 arg, -3875 append=True, -3876 copy=True, -3877 prefix=None, -3878 into=None, -3879 dialect=None, -3880 **opts, -3881): -3882 inst = _maybe_copy(instance, copy) -3883 -3884 expressions = [ -3885 maybe_parse( -3886 sql_or_expression=expression, -3887 into=into, +3834 +3835def _maybe_copy(instance, copy=True): +3836 return instance.copy() if copy else instance +3837 +3838 +3839def _is_wrong_expression(expression, into): +3840 return isinstance(expression, Expression) and not isinstance(expression, into) +3841 +3842 +3843def _apply_builder( +3844 expression, +3845 instance, +3846 arg, +3847 copy=True, +3848 prefix=None, +3849 into=None, +3850 dialect=None, +3851 **opts, +3852): +3853 if _is_wrong_expression(expression, into): +3854 expression = into(this=expression) +3855 instance = _maybe_copy(instance, copy) +3856 expression = maybe_parse( +3857 sql_or_expression=expression, +3858 prefix=prefix, +3859 into=into, +3860 dialect=dialect, +3861 **opts, +3862 ) +3863 instance.set(arg, expression) +3864 return instance +3865 +3866 +3867def _apply_child_list_builder( +3868 *expressions, +3869 instance, +3870 arg, +3871 append=True, +3872 copy=True, +3873 prefix=None, +3874 into=None, +3875 dialect=None, +3876 properties=None, +3877 **opts, +3878): +3879 instance = _maybe_copy(instance, copy) +3880 parsed = [] +3881 for expression in expressions: +3882 if _is_wrong_expression(expression, into): +3883 expression = into(expressions=[expression]) +3884 expression = maybe_parse( +3885 expression, +3886 into=into, +3887 dialect=dialect, 3888 prefix=prefix, -3889 dialect=dialect, -3890 **opts, -3891 ) -3892 for expression in expressions -3893 ] -3894 -3895 existing_expressions = inst.args.get(arg) -3896 if append and existing_expressions: -3897 expressions = existing_expressions + expressions -3898 -3899 inst.set(arg, expressions) -3900 return inst -3901 +3889 **opts, +3890 ) +3891 parsed.extend(expression.expressions) +3892 +3893 existing = instance.args.get(arg) +3894 if append and existing: +3895 parsed = existing.expressions + parsed +3896 +3897 child = into(expressions=parsed) +3898 for k, v in (properties or {}).items(): +3899 child.set(k, v) +3900 instance.set(arg, child) +3901 return instance 3902 -3903def _apply_conjunction_builder( -3904 *expressions, -3905 instance, -3906 arg, -3907 into=None, +3903 +3904def _apply_list_builder( +3905 *expressions, +3906 instance, +3907 arg, 3908 append=True, 3909 copy=True, -3910 dialect=None, -3911 **opts, -3912): -3913 expressions = [exp for exp in expressions if exp is not None and exp != ""] -3914 if not expressions: -3915 return instance +3910 prefix=None, +3911 into=None, +3912 dialect=None, +3913 **opts, +3914): +3915 inst = _maybe_copy(instance, copy) 3916 -3917 inst = _maybe_copy(instance, copy) -3918 -3919 existing = inst.args.get(arg) -3920 if append and existing is not None: -3921 expressions = [existing.this if into else existing] + list(expressions) -3922 -3923 node = and_(*expressions, dialect=dialect, **opts) -3924 -3925 inst.set(arg, into(this=node) if into else node) -3926 return inst +3917 expressions = [ +3918 maybe_parse( +3919 sql_or_expression=expression, +3920 into=into, +3921 prefix=prefix, +3922 dialect=dialect, +3923 **opts, +3924 ) +3925 for expression in expressions +3926 ] 3927 -3928 -3929def _combine(expressions, operator, dialect=None, **opts): -3930 expressions = [condition(expression, dialect=dialect, **opts) for expression in expressions] -3931 this = expressions[0] -3932 if expressions[1:]: -3933 this = _wrap_operator(this) -3934 for expression in expressions[1:]: -3935 this = operator(this=this, expression=_wrap_operator(expression)) -3936 return this -3937 -3938 -3939def _wrap_operator(expression): -3940 if isinstance(expression, (And, Or, Not)): -3941 expression = Paren(this=expression) -3942 return expression -3943 -3944 -3945def union(left, right, distinct=True, dialect=None, **opts): -3946 """ -3947 Initializes a syntax tree from one UNION expression. -3948 -3949 Example: -3950 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() -3951 'SELECT * FROM foo UNION SELECT * FROM bla' -3952 -3953 Args: -3954 left (str | Expression): the SQL code string corresponding to the left-hand side. -3955 If an `Expression` instance is passed, it will be used as-is. -3956 right (str | Expression): the SQL code string corresponding to the right-hand side. -3957 If an `Expression` instance is passed, it will be used as-is. -3958 distinct (bool): set the DISTINCT flag if and only if this is true. -3959 dialect (str): the dialect used to parse the input expression. -3960 opts (kwargs): other options to use to parse the input expressions. -3961 Returns: -3962 Union: the syntax tree for the UNION expression. -3963 """ -3964 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -3965 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -3966 -3967 return Union(this=left, expression=right, distinct=distinct) -3968 -3969 -3970def intersect(left, right, distinct=True, dialect=None, **opts): -3971 """ -3972 Initializes a syntax tree from one INTERSECT expression. -3973 -3974 Example: -3975 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() -3976 'SELECT * FROM foo INTERSECT SELECT * FROM bla' +3928 existing_expressions = inst.args.get(arg) +3929 if append and existing_expressions: +3930 expressions = existing_expressions + expressions +3931 +3932 inst.set(arg, expressions) +3933 return inst +3934 +3935 +3936def _apply_conjunction_builder( +3937 *expressions, +3938 instance, +3939 arg, +3940 into=None, +3941 append=True, +3942 copy=True, +3943 dialect=None, +3944 **opts, +3945): +3946 expressions = [exp for exp in expressions if exp is not None and exp != ""] +3947 if not expressions: +3948 return instance +3949 +3950 inst = _maybe_copy(instance, copy) +3951 +3952 existing = inst.args.get(arg) +3953 if append and existing is not None: +3954 expressions = [existing.this if into else existing] + list(expressions) +3955 +3956 node = and_(*expressions, dialect=dialect, **opts) +3957 +3958 inst.set(arg, into(this=node) if into else node) +3959 return inst +3960 +3961 +3962def _combine(expressions, operator, dialect=None, **opts): +3963 expressions = [condition(expression, dialect=dialect, **opts) for expression in expressions] +3964 this = expressions[0] +3965 if expressions[1:]: +3966 this = _wrap_operator(this) +3967 for expression in expressions[1:]: +3968 this = operator(this=this, expression=_wrap_operator(expression)) +3969 return this +3970 +3971 +3972def _wrap_operator(expression): +3973 if isinstance(expression, (And, Or, Not)): +3974 expression = Paren(this=expression) +3975 return expression +3976 3977 -3978 Args: -3979 left (str | Expression): the SQL code string corresponding to the left-hand side. -3980 If an `Expression` instance is passed, it will be used as-is. -3981 right (str | Expression): the SQL code string corresponding to the right-hand side. -3982 If an `Expression` instance is passed, it will be used as-is. -3983 distinct (bool): set the DISTINCT flag if and only if this is true. -3984 dialect (str): the dialect used to parse the input expression. -3985 opts (kwargs): other options to use to parse the input expressions. -3986 Returns: -3987 Intersect: the syntax tree for the INTERSECT expression. -3988 """ -3989 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -3990 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -3991 -3992 return Intersect(this=left, expression=right, distinct=distinct) -3993 -3994 -3995def except_(left, right, distinct=True, dialect=None, **opts): -3996 """ -3997 Initializes a syntax tree from one EXCEPT expression. -3998 -3999 Example: -4000 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() -4001 'SELECT * FROM foo EXCEPT SELECT * FROM bla' +3978def union(left, right, distinct=True, dialect=None, **opts): +3979 """ +3980 Initializes a syntax tree from one UNION expression. +3981 +3982 Example: +3983 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() +3984 'SELECT * FROM foo UNION SELECT * FROM bla' +3985 +3986 Args: +3987 left (str | Expression): the SQL code string corresponding to the left-hand side. +3988 If an `Expression` instance is passed, it will be used as-is. +3989 right (str | Expression): the SQL code string corresponding to the right-hand side. +3990 If an `Expression` instance is passed, it will be used as-is. +3991 distinct (bool): set the DISTINCT flag if and only if this is true. +3992 dialect (str): the dialect used to parse the input expression. +3993 opts (kwargs): other options to use to parse the input expressions. +3994 Returns: +3995 Union: the syntax tree for the UNION expression. +3996 """ +3997 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +3998 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +3999 +4000 return Union(this=left, expression=right, distinct=distinct) +4001 4002 -4003 Args: -4004 left (str | Expression): the SQL code string corresponding to the left-hand side. -4005 If an `Expression` instance is passed, it will be used as-is. -4006 right (str | Expression): the SQL code string corresponding to the right-hand side. -4007 If an `Expression` instance is passed, it will be used as-is. -4008 distinct (bool): set the DISTINCT flag if and only if this is true. -4009 dialect (str): the dialect used to parse the input expression. -4010 opts (kwargs): other options to use to parse the input expressions. -4011 Returns: -4012 Except: the syntax tree for the EXCEPT statement. -4013 """ -4014 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4015 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4016 -4017 return Except(this=left, expression=right, distinct=distinct) -4018 -4019 -4020def select(*expressions: str | Expression, dialect: DialectType = None, **opts) -> Select: -4021 """ -4022 Initializes a syntax tree from one or multiple SELECT expressions. -4023 -4024 Example: -4025 >>> select("col1", "col2").from_("tbl").sql() -4026 'SELECT col1, col2 FROM tbl' +4003def intersect(left, right, distinct=True, dialect=None, **opts): +4004 """ +4005 Initializes a syntax tree from one INTERSECT expression. +4006 +4007 Example: +4008 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() +4009 'SELECT * FROM foo INTERSECT SELECT * FROM bla' +4010 +4011 Args: +4012 left (str | Expression): the SQL code string corresponding to the left-hand side. +4013 If an `Expression` instance is passed, it will be used as-is. +4014 right (str | Expression): the SQL code string corresponding to the right-hand side. +4015 If an `Expression` instance is passed, it will be used as-is. +4016 distinct (bool): set the DISTINCT flag if and only if this is true. +4017 dialect (str): the dialect used to parse the input expression. +4018 opts (kwargs): other options to use to parse the input expressions. +4019 Returns: +4020 Intersect: the syntax tree for the INTERSECT expression. +4021 """ +4022 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4023 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4024 +4025 return Intersect(this=left, expression=right, distinct=distinct) +4026 4027 -4028 Args: -4029 *expressions: the SQL code string to parse as the expressions of a -4030 SELECT statement. If an Expression instance is passed, this is used as-is. -4031 dialect: the dialect used to parse the input expressions (in the case that an -4032 input expression is a SQL string). -4033 **opts: other options to use to parse the input expressions (again, in the case -4034 that an input expression is a SQL string). +4028def except_(left, right, distinct=True, dialect=None, **opts): +4029 """ +4030 Initializes a syntax tree from one EXCEPT expression. +4031 +4032 Example: +4033 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() +4034 'SELECT * FROM foo EXCEPT SELECT * FROM bla' 4035 -4036 Returns: -4037 Select: the syntax tree for the SELECT statement. -4038 """ -4039 return Select().select(*expressions, dialect=dialect, **opts) -4040 -4041 -4042def from_(*expressions, dialect=None, **opts) -> Select: -4043 """ -4044 Initializes a syntax tree from a FROM expression. -4045 -4046 Example: -4047 >>> from_("tbl").select("col1", "col2").sql() -4048 'SELECT col1, col2 FROM tbl' +4036 Args: +4037 left (str | Expression): the SQL code string corresponding to the left-hand side. +4038 If an `Expression` instance is passed, it will be used as-is. +4039 right (str | Expression): the SQL code string corresponding to the right-hand side. +4040 If an `Expression` instance is passed, it will be used as-is. +4041 distinct (bool): set the DISTINCT flag if and only if this is true. +4042 dialect (str): the dialect used to parse the input expression. +4043 opts (kwargs): other options to use to parse the input expressions. +4044 Returns: +4045 Except: the syntax tree for the EXCEPT statement. +4046 """ +4047 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4048 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) 4049 -4050 Args: -4051 *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a -4052 SELECT statement. If an Expression instance is passed, this is used as-is. -4053 dialect (str): the dialect used to parse the input expression (in the case that the -4054 input expression is a SQL string). -4055 **opts: other options to use to parse the input expressions (again, in the case -4056 that the input expression is a SQL string). -4057 -4058 Returns: -4059 Select: the syntax tree for the SELECT statement. -4060 """ -4061 return Select().from_(*expressions, dialect=dialect, **opts) -4062 -4063 -4064def update(table, properties, where=None, from_=None, dialect=None, **opts) -> Update: -4065 """ -4066 Creates an update statement. -4067 -4068 Example: -4069 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() -4070 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" -4071 -4072 Args: -4073 *properties (Dict[str, Any]): dictionary of properties to set which are -4074 auto converted to sql objects eg None -> NULL -4075 where (str): sql conditional parsed into a WHERE statement -4076 from_ (str): sql statement parsed into a FROM statement -4077 dialect (str): the dialect used to parse the input expressions. -4078 **opts: other options to use to parse the input expressions. -4079 -4080 Returns: -4081 Update: the syntax tree for the UPDATE statement. -4082 """ -4083 update = Update(this=maybe_parse(table, into=Table, dialect=dialect)) -4084 update.set( -4085 "expressions", -4086 [ -4087 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) -4088 for k, v in properties.items() -4089 ], -4090 ) -4091 if from_: -4092 update.set( -4093 "from", -4094 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), -4095 ) -4096 if isinstance(where, Condition): -4097 where = Where(this=where) -4098 if where: -4099 update.set( -4100 "where", -4101 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), -4102 ) -4103 return update +4050 return Except(this=left, expression=right, distinct=distinct) +4051 +4052 +4053def select(*expressions: str | Expression, dialect: DialectType = None, **opts) -> Select: +4054 """ +4055 Initializes a syntax tree from one or multiple SELECT expressions. +4056 +4057 Example: +4058 >>> select("col1", "col2").from_("tbl").sql() +4059 'SELECT col1, col2 FROM tbl' +4060 +4061 Args: +4062 *expressions: the SQL code string to parse as the expressions of a +4063 SELECT statement. If an Expression instance is passed, this is used as-is. +4064 dialect: the dialect used to parse the input expressions (in the case that an +4065 input expression is a SQL string). +4066 **opts: other options to use to parse the input expressions (again, in the case +4067 that an input expression is a SQL string). +4068 +4069 Returns: +4070 Select: the syntax tree for the SELECT statement. +4071 """ +4072 return Select().select(*expressions, dialect=dialect, **opts) +4073 +4074 +4075def from_(*expressions, dialect=None, **opts) -> Select: +4076 """ +4077 Initializes a syntax tree from a FROM expression. +4078 +4079 Example: +4080 >>> from_("tbl").select("col1", "col2").sql() +4081 'SELECT col1, col2 FROM tbl' +4082 +4083 Args: +4084 *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a +4085 SELECT statement. If an Expression instance is passed, this is used as-is. +4086 dialect (str): the dialect used to parse the input expression (in the case that the +4087 input expression is a SQL string). +4088 **opts: other options to use to parse the input expressions (again, in the case +4089 that the input expression is a SQL string). +4090 +4091 Returns: +4092 Select: the syntax tree for the SELECT statement. +4093 """ +4094 return Select().from_(*expressions, dialect=dialect, **opts) +4095 +4096 +4097def update(table, properties, where=None, from_=None, dialect=None, **opts) -> Update: +4098 """ +4099 Creates an update statement. +4100 +4101 Example: +4102 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() +4103 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" 4104 -4105 -4106def delete(table, where=None, dialect=None, **opts) -> Delete: -4107 """ -4108 Builds a delete statement. -4109 -4110 Example: -4111 >>> delete("my_table", where="id > 1").sql() -4112 'DELETE FROM my_table WHERE id > 1' -4113 -4114 Args: -4115 where (str|Condition): sql conditional parsed into a WHERE statement -4116 dialect (str): the dialect used to parse the input expressions. -4117 **opts: other options to use to parse the input expressions. -4118 -4119 Returns: -4120 Delete: the syntax tree for the DELETE statement. -4121 """ -4122 return Delete( -4123 this=maybe_parse(table, into=Table, dialect=dialect, **opts), -4124 where=Where(this=where) -4125 if isinstance(where, Condition) -4126 else maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), -4127 ) -4128 -4129 -4130def condition(expression, dialect=None, **opts) -> Condition: -4131 """ -4132 Initialize a logical condition expression. -4133 -4134 Example: -4135 >>> condition("x=1").sql() -4136 'x = 1' +4105 Args: +4106 *properties (Dict[str, Any]): dictionary of properties to set which are +4107 auto converted to sql objects eg None -> NULL +4108 where (str): sql conditional parsed into a WHERE statement +4109 from_ (str): sql statement parsed into a FROM statement +4110 dialect (str): the dialect used to parse the input expressions. +4111 **opts: other options to use to parse the input expressions. +4112 +4113 Returns: +4114 Update: the syntax tree for the UPDATE statement. +4115 """ +4116 update = Update(this=maybe_parse(table, into=Table, dialect=dialect)) +4117 update.set( +4118 "expressions", +4119 [ +4120 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) +4121 for k, v in properties.items() +4122 ], +4123 ) +4124 if from_: +4125 update.set( +4126 "from", +4127 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), +4128 ) +4129 if isinstance(where, Condition): +4130 where = Where(this=where) +4131 if where: +4132 update.set( +4133 "where", +4134 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), +4135 ) +4136 return update 4137 -4138 This is helpful for composing larger logical syntax trees: -4139 >>> where = condition("x=1") -4140 >>> where = where.and_("y=1") -4141 >>> Select().from_("tbl").select("*").where(where).sql() -4142 'SELECT * FROM tbl WHERE x = 1 AND y = 1' -4143 -4144 Args: -4145 *expression (str | Expression): the SQL code string to parse. -4146 If an Expression instance is passed, this is used as-is. -4147 dialect (str): the dialect used to parse the input expression (in the case that the -4148 input expression is a SQL string). -4149 **opts: other options to use to parse the input expressions (again, in the case -4150 that the input expression is a SQL string). +4138 +4139def delete(table, where=None, dialect=None, **opts) -> Delete: +4140 """ +4141 Builds a delete statement. +4142 +4143 Example: +4144 >>> delete("my_table", where="id > 1").sql() +4145 'DELETE FROM my_table WHERE id > 1' +4146 +4147 Args: +4148 where (str|Condition): sql conditional parsed into a WHERE statement +4149 dialect (str): the dialect used to parse the input expressions. +4150 **opts: other options to use to parse the input expressions. 4151 4152 Returns: -4153 Condition: the expression +4153 Delete: the syntax tree for the DELETE statement. 4154 """ -4155 return maybe_parse( # type: ignore -4156 expression, -4157 into=Condition, -4158 dialect=dialect, -4159 **opts, +4155 return Delete( +4156 this=maybe_parse(table, into=Table, dialect=dialect, **opts), +4157 where=Where(this=where) +4158 if isinstance(where, Condition) +4159 else maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), 4160 ) 4161 4162 -4163def and_(*expressions, dialect=None, **opts) -> And: +4163def condition(expression, dialect=None, **opts) -> Condition: 4164 """ -4165 Combine multiple conditions with an AND logical operator. +4165 Initialize a logical condition expression. 4166 4167 Example: -4168 >>> and_("x=1", and_("y=1", "z=1")).sql() -4169 'x = 1 AND (y = 1 AND z = 1)' +4168 >>> condition("x=1").sql() +4169 'x = 1' 4170 -4171 Args: -4172 *expressions (str | Expression): the SQL code strings to parse. -4173 If an Expression instance is passed, this is used as-is. -4174 dialect (str): the dialect used to parse the input expression. -4175 **opts: other options to use to parse the input expressions. +4171 This is helpful for composing larger logical syntax trees: +4172 >>> where = condition("x=1") +4173 >>> where = where.and_("y=1") +4174 >>> Select().from_("tbl").select("*").where(where).sql() +4175 'SELECT * FROM tbl WHERE x = 1 AND y = 1' 4176 -4177 Returns: -4178 And: the new condition -4179 """ -4180 return _combine(expressions, And, dialect, **opts) -4181 -4182 -4183def or_(*expressions, dialect=None, **opts) -> Or: -4184 """ -4185 Combine multiple conditions with an OR logical operator. -4186 -4187 Example: -4188 >>> or_("x=1", or_("y=1", "z=1")).sql() -4189 'x = 1 OR (y = 1 OR z = 1)' -4190 -4191 Args: -4192 *expressions (str | Expression): the SQL code strings to parse. -4193 If an Expression instance is passed, this is used as-is. -4194 dialect (str): the dialect used to parse the input expression. -4195 **opts: other options to use to parse the input expressions. -4196 -4197 Returns: -4198 Or: the new condition -4199 """ -4200 return _combine(expressions, Or, dialect, **opts) -4201 -4202 -4203def not_(expression, dialect=None, **opts) -> Not: -4204 """ -4205 Wrap a condition with a NOT operator. -4206 -4207 Example: -4208 >>> not_("this_suit='black'").sql() -4209 "NOT this_suit = 'black'" -4210 -4211 Args: -4212 expression (str | Expression): the SQL code strings to parse. -4213 If an Expression instance is passed, this is used as-is. -4214 dialect (str): the dialect used to parse the input expression. -4215 **opts: other options to use to parse the input expressions. -4216 -4217 Returns: -4218 Not: the new condition -4219 """ -4220 this = condition( -4221 expression, -4222 dialect=dialect, -4223 **opts, -4224 ) -4225 return Not(this=_wrap_operator(this)) -4226 -4227 -4228def paren(expression) -> Paren: -4229 return Paren(this=expression) -4230 -4231 -4232SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") -4233 +4177 Args: +4178 *expression (str | Expression): the SQL code string to parse. +4179 If an Expression instance is passed, this is used as-is. +4180 dialect (str): the dialect used to parse the input expression (in the case that the +4181 input expression is a SQL string). +4182 **opts: other options to use to parse the input expressions (again, in the case +4183 that the input expression is a SQL string). +4184 +4185 Returns: +4186 Condition: the expression +4187 """ +4188 return maybe_parse( # type: ignore +4189 expression, +4190 into=Condition, +4191 dialect=dialect, +4192 **opts, +4193 ) +4194 +4195 +4196def and_(*expressions, dialect=None, **opts) -> And: +4197 """ +4198 Combine multiple conditions with an AND logical operator. +4199 +4200 Example: +4201 >>> and_("x=1", and_("y=1", "z=1")).sql() +4202 'x = 1 AND (y = 1 AND z = 1)' +4203 +4204 Args: +4205 *expressions (str | Expression): the SQL code strings to parse. +4206 If an Expression instance is passed, this is used as-is. +4207 dialect (str): the dialect used to parse the input expression. +4208 **opts: other options to use to parse the input expressions. +4209 +4210 Returns: +4211 And: the new condition +4212 """ +4213 return _combine(expressions, And, dialect, **opts) +4214 +4215 +4216def or_(*expressions, dialect=None, **opts) -> Or: +4217 """ +4218 Combine multiple conditions with an OR logical operator. +4219 +4220 Example: +4221 >>> or_("x=1", or_("y=1", "z=1")).sql() +4222 'x = 1 OR (y = 1 OR z = 1)' +4223 +4224 Args: +4225 *expressions (str | Expression): the SQL code strings to parse. +4226 If an Expression instance is passed, this is used as-is. +4227 dialect (str): the dialect used to parse the input expression. +4228 **opts: other options to use to parse the input expressions. +4229 +4230 Returns: +4231 Or: the new condition +4232 """ +4233 return _combine(expressions, Or, dialect, **opts) 4234 -4235@t.overload -4236def to_identifier(name: None, quoted: t.Optional[bool] = None) -> None: -4237 ... -4238 +4235 +4236def not_(expression, dialect=None, **opts) -> Not: +4237 """ +4238 Wrap a condition with a NOT operator. 4239 -4240@t.overload -4241def to_identifier(name: str | Identifier, quoted: t.Optional[bool] = None) -> Identifier: -4242 ... +4240 Example: +4241 >>> not_("this_suit='black'").sql() +4242 "NOT this_suit = 'black'" 4243 -4244 -4245def to_identifier(name, quoted=None): -4246 """Builds an identifier. -4247 -4248 Args: -4249 name: The name to turn into an identifier. -4250 quoted: Whether or not force quote the identifier. -4251 -4252 Returns: -4253 The identifier ast node. -4254 """ -4255 -4256 if name is None: -4257 return None -4258 -4259 if isinstance(name, Identifier): -4260 identifier = name -4261 elif isinstance(name, str): -4262 identifier = Identifier( -4263 this=name, -4264 quoted=not re.match(SAFE_IDENTIFIER_RE, name) if quoted is None else quoted, -4265 ) -4266 else: -4267 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") -4268 return identifier -4269 -4270 -4271INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") +4244 Args: +4245 expression (str | Expression): the SQL code strings to parse. +4246 If an Expression instance is passed, this is used as-is. +4247 dialect (str): the dialect used to parse the input expression. +4248 **opts: other options to use to parse the input expressions. +4249 +4250 Returns: +4251 Not: the new condition +4252 """ +4253 this = condition( +4254 expression, +4255 dialect=dialect, +4256 **opts, +4257 ) +4258 return Not(this=_wrap_operator(this)) +4259 +4260 +4261def paren(expression) -> Paren: +4262 return Paren(this=expression) +4263 +4264 +4265SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") +4266 +4267 +4268@t.overload +4269def to_identifier(name: None, quoted: t.Optional[bool] = None) -> None: +4270 ... +4271 4272 -4273 -4274def to_interval(interval: str | Literal) -> Interval: -4275 """Builds an interval expression from a string like '1 day' or '5 months'.""" -4276 if isinstance(interval, Literal): -4277 if not interval.is_string: -4278 raise ValueError("Invalid interval string.") -4279 -4280 interval = interval.this -4281 -4282 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore -4283 -4284 if not interval_parts: -4285 raise ValueError("Invalid interval string.") -4286 -4287 return Interval( -4288 this=Literal.string(interval_parts.group(1)), -4289 unit=Var(this=interval_parts.group(2)), -4290 ) +4273@t.overload +4274def to_identifier(name: str | Identifier, quoted: t.Optional[bool] = None) -> Identifier: +4275 ... +4276 +4277 +4278def to_identifier(name, quoted=None): +4279 """Builds an identifier. +4280 +4281 Args: +4282 name: The name to turn into an identifier. +4283 quoted: Whether or not force quote the identifier. +4284 +4285 Returns: +4286 The identifier ast node. +4287 """ +4288 +4289 if name is None: +4290 return None 4291 -4292 -4293@t.overload -4294def to_table(sql_path: str | Table, **kwargs) -> Table: -4295 ... -4296 -4297 -4298@t.overload -4299def to_table(sql_path: None, **kwargs) -> None: -4300 ... -4301 +4292 if isinstance(name, Identifier): +4293 identifier = name +4294 elif isinstance(name, str): +4295 identifier = Identifier( +4296 this=name, +4297 quoted=not re.match(SAFE_IDENTIFIER_RE, name) if quoted is None else quoted, +4298 ) +4299 else: +4300 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") +4301 return identifier 4302 -4303def to_table(sql_path: t.Optional[str | Table], **kwargs) -> t.Optional[Table]: -4304 """ -4305 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. -4306 If a table is passed in then that table is returned. -4307 -4308 Args: -4309 sql_path: a `[catalog].[schema].[table]` string. -4310 -4311 Returns: -4312 A table expression. -4313 """ -4314 if sql_path is None or isinstance(sql_path, Table): -4315 return sql_path -4316 if not isinstance(sql_path, str): -4317 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") -4318 -4319 catalog, db, table_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 3)) -4320 return Table(this=table_name, db=db, catalog=catalog, **kwargs) -4321 -4322 -4323def to_column(sql_path: str | Column, **kwargs) -> Column: -4324 """ -4325 Create a column from a `[table].[column]` sql path. Schema is optional. -4326 -4327 If a column is passed in then that column is returned. -4328 -4329 Args: -4330 sql_path: `[table].[column]` string -4331 Returns: -4332 Table: A column expression -4333 """ -4334 if sql_path is None or isinstance(sql_path, Column): -4335 return sql_path -4336 if not isinstance(sql_path, str): -4337 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") -4338 table_name, column_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 2)) -4339 return Column(this=column_name, table=table_name, **kwargs) +4303 +4304INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") +4305 +4306 +4307def to_interval(interval: str | Literal) -> Interval: +4308 """Builds an interval expression from a string like '1 day' or '5 months'.""" +4309 if isinstance(interval, Literal): +4310 if not interval.is_string: +4311 raise ValueError("Invalid interval string.") +4312 +4313 interval = interval.this +4314 +4315 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore +4316 +4317 if not interval_parts: +4318 raise ValueError("Invalid interval string.") +4319 +4320 return Interval( +4321 this=Literal.string(interval_parts.group(1)), +4322 unit=Var(this=interval_parts.group(2)), +4323 ) +4324 +4325 +4326@t.overload +4327def to_table(sql_path: str | Table, **kwargs) -> Table: +4328 ... +4329 +4330 +4331@t.overload +4332def to_table(sql_path: None, **kwargs) -> None: +4333 ... +4334 +4335 +4336def to_table(sql_path: t.Optional[str | Table], **kwargs) -> t.Optional[Table]: +4337 """ +4338 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. +4339 If a table is passed in then that table is returned. 4340 -4341 -4342def alias_( -4343 expression: str | Expression, -4344 alias: str | Identifier, -4345 table: bool | t.Sequence[str | Identifier] = False, -4346 quoted: t.Optional[bool] = None, -4347 dialect: DialectType = None, -4348 **opts, -4349): -4350 """Create an Alias expression. +4341 Args: +4342 sql_path: a `[catalog].[schema].[table]` string. +4343 +4344 Returns: +4345 A table expression. +4346 """ +4347 if sql_path is None or isinstance(sql_path, Table): +4348 return sql_path +4349 if not isinstance(sql_path, str): +4350 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") 4351 -4352 Example: -4353 >>> alias_('foo', 'bar').sql() -4354 'foo AS bar' +4352 catalog, db, table_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 3)) +4353 return Table(this=table_name, db=db, catalog=catalog, **kwargs) +4354 4355 -4356 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() -4357 '(SELECT 1, 2) AS bar(a, b)' -4358 -4359 Args: -4360 expression: the SQL code strings to parse. -4361 If an Expression instance is passed, this is used as-is. -4362 alias: the alias name to use. If the name has -4363 special characters it is quoted. -4364 table: Whether or not to create a table alias, can also be a list of columns. -4365 quoted: whether or not to quote the alias -4366 dialect: the dialect used to parse the input expression. -4367 **opts: other options to use to parse the input expressions. -4368 -4369 Returns: -4370 Alias: the aliased expression -4371 """ -4372 exp = maybe_parse(expression, dialect=dialect, **opts) -4373 alias = to_identifier(alias, quoted=quoted) +4356def to_column(sql_path: str | Column, **kwargs) -> Column: +4357 """ +4358 Create a column from a `[table].[column]` sql path. Schema is optional. +4359 +4360 If a column is passed in then that column is returned. +4361 +4362 Args: +4363 sql_path: `[table].[column]` string +4364 Returns: +4365 Table: A column expression +4366 """ +4367 if sql_path is None or isinstance(sql_path, Column): +4368 return sql_path +4369 if not isinstance(sql_path, str): +4370 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") +4371 table_name, column_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 2)) +4372 return Column(this=column_name, table=table_name, **kwargs) +4373 4374 -4375 if table: -4376 table_alias = TableAlias(this=alias) -4377 exp.set("alias", table_alias) -4378 -4379 if not isinstance(table, bool): -4380 for column in table: -4381 table_alias.append("columns", to_identifier(column, quoted=quoted)) -4382 -4383 return exp +4375def alias_( +4376 expression: str | Expression, +4377 alias: str | Identifier, +4378 table: bool | t.Sequence[str | Identifier] = False, +4379 quoted: t.Optional[bool] = None, +4380 dialect: DialectType = None, +4381 **opts, +4382): +4383 """Create an Alias expression. 4384 -4385 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in -4386 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node -4387 # for the complete Window expression. -4388 # -4389 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls -4390 -4391 if "alias" in exp.arg_types and not isinstance(exp, Window): -4392 exp = exp.copy() -4393 exp.set("alias", alias) -4394 return exp -4395 return Alias(this=exp, alias=alias) -4396 -4397 -4398def subquery(expression, alias=None, dialect=None, **opts): -4399 """ -4400 Build a subquery expression. +4385 Example: +4386 >>> alias_('foo', 'bar').sql() +4387 'foo AS bar' +4388 +4389 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() +4390 '(SELECT 1, 2) AS bar(a, b)' +4391 +4392 Args: +4393 expression: the SQL code strings to parse. +4394 If an Expression instance is passed, this is used as-is. +4395 alias: the alias name to use. If the name has +4396 special characters it is quoted. +4397 table: Whether or not to create a table alias, can also be a list of columns. +4398 quoted: whether or not to quote the alias +4399 dialect: the dialect used to parse the input expression. +4400 **opts: other options to use to parse the input expressions. 4401 -4402 Example: -4403 >>> subquery('select x from tbl', 'bar').select('x').sql() -4404 'SELECT x FROM (SELECT x FROM tbl) AS bar' -4405 -4406 Args: -4407 expression (str | Expression): the SQL code strings to parse. -4408 If an Expression instance is passed, this is used as-is. -4409 alias (str | Expression): the alias name to use. -4410 dialect (str): the dialect used to parse the input expression. -4411 **opts: other options to use to parse the input expressions. -4412 -4413 Returns: -4414 Select: a new select with the subquery expression included -4415 """ -4416 -4417 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) -4418 return Select().from_(expression, dialect=dialect, **opts) -4419 -4420 -4421def column( -4422 col: str | Identifier, -4423 table: t.Optional[str | Identifier] = None, -4424 schema: t.Optional[str | Identifier] = None, -4425 quoted: t.Optional[bool] = None, -4426) -> Column: -4427 """ -4428 Build a Column. +4402 Returns: +4403 Alias: the aliased expression +4404 """ +4405 exp = maybe_parse(expression, dialect=dialect, **opts) +4406 alias = to_identifier(alias, quoted=quoted) +4407 +4408 if table: +4409 table_alias = TableAlias(this=alias) +4410 exp.set("alias", table_alias) +4411 +4412 if not isinstance(table, bool): +4413 for column in table: +4414 table_alias.append("columns", to_identifier(column, quoted=quoted)) +4415 +4416 return exp +4417 +4418 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in +4419 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node +4420 # for the complete Window expression. +4421 # +4422 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls +4423 +4424 if "alias" in exp.arg_types and not isinstance(exp, Window): +4425 exp = exp.copy() +4426 exp.set("alias", alias) +4427 return exp +4428 return Alias(this=exp, alias=alias) 4429 -4430 Args: -4431 col: column name -4432 table: table name -4433 schema: schema name -4434 quoted: whether or not to force quote each part -4435 Returns: -4436 Column: column instance -4437 """ -4438 return Column( -4439 this=to_identifier(col, quoted=quoted), -4440 table=to_identifier(table, quoted=quoted), -4441 schema=to_identifier(schema, quoted=quoted), -4442 ) -4443 -4444 -4445def cast(expression: str | Expression, to: str | DataType | DataType.Type, **opts) -> Cast: -4446 """Cast an expression to a data type. -4447 -4448 Example: -4449 >>> cast('x + 1', 'int').sql() -4450 'CAST(x + 1 AS INT)' -4451 -4452 Args: -4453 expression: The expression to cast. -4454 to: The datatype to cast to. -4455 -4456 Returns: -4457 A cast node. -4458 """ -4459 expression = maybe_parse(expression, **opts) -4460 return Cast(this=expression, to=DataType.build(to, **opts)) -4461 +4430 +4431def subquery(expression, alias=None, dialect=None, **opts): +4432 """ +4433 Build a subquery expression. +4434 +4435 Example: +4436 >>> subquery('select x from tbl', 'bar').select('x').sql() +4437 'SELECT x FROM (SELECT x FROM tbl) AS bar' +4438 +4439 Args: +4440 expression (str | Expression): the SQL code strings to parse. +4441 If an Expression instance is passed, this is used as-is. +4442 alias (str | Expression): the alias name to use. +4443 dialect (str): the dialect used to parse the input expression. +4444 **opts: other options to use to parse the input expressions. +4445 +4446 Returns: +4447 Select: a new select with the subquery expression included +4448 """ +4449 +4450 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) +4451 return Select().from_(expression, dialect=dialect, **opts) +4452 +4453 +4454def column( +4455 col: str | Identifier, +4456 table: t.Optional[str | Identifier] = None, +4457 schema: t.Optional[str | Identifier] = None, +4458 quoted: t.Optional[bool] = None, +4459) -> Column: +4460 """ +4461 Build a Column. 4462 -4463def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table: -4464 """Build a Table. -4465 -4466 Args: -4467 table (str | Expression): column name -4468 db (str | Expression): db name -4469 catalog (str | Expression): catalog name -4470 -4471 Returns: -4472 Table: table instance -4473 """ -4474 return Table( -4475 this=to_identifier(table, quoted=quoted), -4476 db=to_identifier(db, quoted=quoted), -4477 catalog=to_identifier(catalog, quoted=quoted), -4478 alias=TableAlias(this=to_identifier(alias)) if alias else None, -4479 ) +4463 Args: +4464 col: column name +4465 table: table name +4466 schema: schema name +4467 quoted: whether or not to force quote each part +4468 Returns: +4469 Column: column instance +4470 """ +4471 return Column( +4472 this=to_identifier(col, quoted=quoted), +4473 table=to_identifier(table, quoted=quoted), +4474 schema=to_identifier(schema, quoted=quoted), +4475 ) +4476 +4477 +4478def cast(expression: str | Expression, to: str | DataType | DataType.Type, **opts) -> Cast: +4479 """Cast an expression to a data type. 4480 -4481 -4482def values( -4483 values: t.Iterable[t.Tuple[t.Any, ...]], -4484 alias: t.Optional[str] = None, -4485 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, -4486) -> Values: -4487 """Build VALUES statement. +4481 Example: +4482 >>> cast('x + 1', 'int').sql() +4483 'CAST(x + 1 AS INT)' +4484 +4485 Args: +4486 expression: The expression to cast. +4487 to: The datatype to cast to. 4488 -4489 Example: -4490 >>> values([(1, '2')]).sql() -4491 "VALUES (1, '2')" -4492 -4493 Args: -4494 values: values statements that will be converted to SQL -4495 alias: optional alias -4496 columns: Optional list of ordered column names or ordered dictionary of column names to types. -4497 If either are provided then an alias is also required. -4498 If a dictionary is provided then the first column of the values will be casted to the expected type -4499 in order to help with type inference. -4500 -4501 Returns: -4502 Values: the Values expression object -4503 """ -4504 if columns and not alias: -4505 raise ValueError("Alias is required when providing columns") -4506 table_alias = ( -4507 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) -4508 if columns -4509 else TableAlias(this=to_identifier(alias) if alias else None) -4510 ) -4511 expressions = [convert(tup) for tup in values] -4512 if columns and isinstance(columns, dict): -4513 types = list(columns.values()) -4514 expressions[0].set( -4515 "expressions", -4516 [cast(x, types[i]) for i, x in enumerate(expressions[0].expressions)], -4517 ) -4518 return Values( -4519 expressions=expressions, -4520 alias=table_alias, -4521 ) -4522 -4523 -4524def var(name: t.Optional[str | Expression]) -> Var: -4525 """Build a SQL variable. -4526 -4527 Example: -4528 >>> repr(var('x')) -4529 '(VAR this: x)' -4530 -4531 >>> repr(var(column('x', table='y'))) -4532 '(VAR this: x)' +4489 Returns: +4490 A cast node. +4491 """ +4492 expression = maybe_parse(expression, **opts) +4493 return Cast(this=expression, to=DataType.build(to, **opts)) +4494 +4495 +4496def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table: +4497 """Build a Table. +4498 +4499 Args: +4500 table (str | Expression): column name +4501 db (str | Expression): db name +4502 catalog (str | Expression): catalog name +4503 +4504 Returns: +4505 Table: table instance +4506 """ +4507 return Table( +4508 this=to_identifier(table, quoted=quoted), +4509 db=to_identifier(db, quoted=quoted), +4510 catalog=to_identifier(catalog, quoted=quoted), +4511 alias=TableAlias(this=to_identifier(alias)) if alias else None, +4512 ) +4513 +4514 +4515def values( +4516 values: t.Iterable[t.Tuple[t.Any, ...]], +4517 alias: t.Optional[str] = None, +4518 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, +4519) -> Values: +4520 """Build VALUES statement. +4521 +4522 Example: +4523 >>> values([(1, '2')]).sql() +4524 "VALUES (1, '2')" +4525 +4526 Args: +4527 values: values statements that will be converted to SQL +4528 alias: optional alias +4529 columns: Optional list of ordered column names or ordered dictionary of column names to types. +4530 If either are provided then an alias is also required. +4531 If a dictionary is provided then the first column of the values will be casted to the expected type +4532 in order to help with type inference. 4533 -4534 Args: -4535 name: The name of the var or an expression who's name will become the var. -4536 -4537 Returns: -4538 The new variable node. -4539 """ -4540 if not name: -4541 raise ValueError(f"Cannot convert empty name into var.") -4542 -4543 if isinstance(name, Expression): -4544 name = name.name -4545 return Var(this=name) -4546 -4547 -4548def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: -4549 """Build ALTER TABLE... RENAME... expression -4550 -4551 Args: -4552 old_name: The old name of the table -4553 new_name: The new name of the table -4554 -4555 Returns: -4556 Alter table expression -4557 """ -4558 old_table = to_table(old_name) -4559 new_table = to_table(new_name) -4560 return AlterTable( -4561 this=old_table, -4562 actions=[ -4563 RenameTable(this=new_table), -4564 ], -4565 ) +4534 Returns: +4535 Values: the Values expression object +4536 """ +4537 if columns and not alias: +4538 raise ValueError("Alias is required when providing columns") +4539 table_alias = ( +4540 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) +4541 if columns +4542 else TableAlias(this=to_identifier(alias) if alias else None) +4543 ) +4544 expressions = [convert(tup) for tup in values] +4545 if columns and isinstance(columns, dict): +4546 types = list(columns.values()) +4547 expressions[0].set( +4548 "expressions", +4549 [cast(x, types[i]) for i, x in enumerate(expressions[0].expressions)], +4550 ) +4551 return Values( +4552 expressions=expressions, +4553 alias=table_alias, +4554 ) +4555 +4556 +4557def var(name: t.Optional[str | Expression]) -> Var: +4558 """Build a SQL variable. +4559 +4560 Example: +4561 >>> repr(var('x')) +4562 '(VAR this: x)' +4563 +4564 >>> repr(var(column('x', table='y'))) +4565 '(VAR this: x)' 4566 -4567 -4568def convert(value) -> Expression: -4569 """Convert a python value into an expression object. -4570 -4571 Raises an error if a conversion is not possible. -4572 -4573 Args: -4574 value (Any): a python object +4567 Args: +4568 name: The name of the var or an expression who's name will become the var. +4569 +4570 Returns: +4571 The new variable node. +4572 """ +4573 if not name: +4574 raise ValueError(f"Cannot convert empty name into var.") 4575 -4576 Returns: -4577 Expression: the equivalent expression object -4578 """ -4579 if isinstance(value, Expression): -4580 return value -4581 if value is None: -4582 return NULL -4583 if isinstance(value, bool): -4584 return Boolean(this=value) -4585 if isinstance(value, str): -4586 return Literal.string(value) -4587 if isinstance(value, float) and math.isnan(value): -4588 return NULL -4589 if isinstance(value, numbers.Number): -4590 return Literal.number(value) -4591 if isinstance(value, tuple): -4592 return Tuple(expressions=[convert(v) for v in value]) -4593 if isinstance(value, list): -4594 return Array(expressions=[convert(v) for v in value]) -4595 if isinstance(value, dict): -4596 return Map( -4597 keys=[convert(k) for k in value], -4598 values=[convert(v) for v in value.values()], -4599 ) -4600 if isinstance(value, datetime.datetime): -4601 datetime_literal = Literal.string( -4602 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() -4603 ) -4604 return TimeStrToTime(this=datetime_literal) -4605 if isinstance(value, datetime.date): -4606 date_literal = Literal.string(value.strftime("%Y-%m-%d")) -4607 return DateStrToDate(this=date_literal) -4608 raise ValueError(f"Cannot convert {value}") -4609 -4610 -4611def replace_children(expression, fun): -4612 """ -4613 Replace children of an expression with the result of a lambda fun(child) -> exp. -4614 """ -4615 for k, v in expression.args.items(): -4616 is_list_arg = isinstance(v, list) -4617 -4618 child_nodes = v if is_list_arg else [v] -4619 new_child_nodes = [] -4620 -4621 for cn in child_nodes: -4622 if isinstance(cn, Expression): -4623 for child_node in ensure_collection(fun(cn)): -4624 new_child_nodes.append(child_node) -4625 child_node.parent = expression -4626 child_node.arg_key = k -4627 else: -4628 new_child_nodes.append(cn) -4629 -4630 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) -4631 -4632 -4633def column_table_names(expression): -4634 """ -4635 Return all table names referenced through columns in an expression. -4636 -4637 Example: -4638 >>> import sqlglot -4639 >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")) -4640 ['c', 'a'] -4641 -4642 Args: -4643 expression (sqlglot.Expression): expression to find table names -4644 -4645 Returns: -4646 list: A list of unique names +4576 if isinstance(name, Expression): +4577 name = name.name +4578 return Var(this=name) +4579 +4580 +4581def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: +4582 """Build ALTER TABLE... RENAME... expression +4583 +4584 Args: +4585 old_name: The old name of the table +4586 new_name: The new name of the table +4587 +4588 Returns: +4589 Alter table expression +4590 """ +4591 old_table = to_table(old_name) +4592 new_table = to_table(new_name) +4593 return AlterTable( +4594 this=old_table, +4595 actions=[ +4596 RenameTable(this=new_table), +4597 ], +4598 ) +4599 +4600 +4601def convert(value) -> Expression: +4602 """Convert a python value into an expression object. +4603 +4604 Raises an error if a conversion is not possible. +4605 +4606 Args: +4607 value (Any): a python object +4608 +4609 Returns: +4610 Expression: the equivalent expression object +4611 """ +4612 if isinstance(value, Expression): +4613 return value +4614 if value is None: +4615 return NULL +4616 if isinstance(value, bool): +4617 return Boolean(this=value) +4618 if isinstance(value, str): +4619 return Literal.string(value) +4620 if isinstance(value, float) and math.isnan(value): +4621 return NULL +4622 if isinstance(value, numbers.Number): +4623 return Literal.number(value) +4624 if isinstance(value, tuple): +4625 return Tuple(expressions=[convert(v) for v in value]) +4626 if isinstance(value, list): +4627 return Array(expressions=[convert(v) for v in value]) +4628 if isinstance(value, dict): +4629 return Map( +4630 keys=[convert(k) for k in value], +4631 values=[convert(v) for v in value.values()], +4632 ) +4633 if isinstance(value, datetime.datetime): +4634 datetime_literal = Literal.string( +4635 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() +4636 ) +4637 return TimeStrToTime(this=datetime_literal) +4638 if isinstance(value, datetime.date): +4639 date_literal = Literal.string(value.strftime("%Y-%m-%d")) +4640 return DateStrToDate(this=date_literal) +4641 raise ValueError(f"Cannot convert {value}") +4642 +4643 +4644def replace_children(expression, fun): +4645 """ +4646 Replace children of an expression with the result of a lambda fun(child) -> exp. 4647 """ -4648 return list(dict.fromkeys(column.table for column in expression.find_all(Column))) -4649 +4648 for k, v in expression.args.items(): +4649 is_list_arg = isinstance(v, list) 4650 -4651def table_name(table) -> str: -4652 """Get the full name of a table as a string. +4651 child_nodes = v if is_list_arg else [v] +4652 new_child_nodes = [] 4653 -4654 Args: -4655 table (exp.Table | str): table expression node or string. -4656 -4657 Examples: -4658 >>> from sqlglot import exp, parse_one -4659 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) -4660 'a.b.c' -4661 -4662 Returns: -4663 The table name. -4664 """ +4654 for cn in child_nodes: +4655 if isinstance(cn, Expression): +4656 for child_node in ensure_collection(fun(cn)): +4657 new_child_nodes.append(child_node) +4658 child_node.parent = expression +4659 child_node.arg_key = k +4660 else: +4661 new_child_nodes.append(cn) +4662 +4663 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) +4664 4665 -4666 table = maybe_parse(table, into=Table) -4667 -4668 if not table: -4669 raise ValueError(f"Cannot parse {table}") -4670 -4671 return ".".join( -4672 part -4673 for part in ( -4674 table.text("catalog"), -4675 table.text("db"), -4676 table.name, -4677 ) -4678 if part -4679 ) -4680 -4681 -4682def replace_tables(expression, mapping): -4683 """Replace all tables in expression according to the mapping. -4684 -4685 Args: -4686 expression (sqlglot.Expression): expression node to be transformed and replaced. -4687 mapping (Dict[str, str]): mapping of table names. -4688 -4689 Examples: -4690 >>> from sqlglot import exp, parse_one -4691 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() -4692 'SELECT * FROM c' -4693 -4694 Returns: -4695 The mapped expression. -4696 """ -4697 -4698 def _replace_tables(node): -4699 if isinstance(node, Table): -4700 new_name = mapping.get(table_name(node)) -4701 if new_name: -4702 return to_table( -4703 new_name, -4704 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, -4705 ) -4706 return node -4707 -4708 return expression.transform(_replace_tables) -4709 -4710 -4711def replace_placeholders(expression, *args, **kwargs): -4712 """Replace placeholders in an expression. +4666def column_table_names(expression): +4667 """ +4668 Return all table names referenced through columns in an expression. +4669 +4670 Example: +4671 >>> import sqlglot +4672 >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")) +4673 ['c', 'a'] +4674 +4675 Args: +4676 expression (sqlglot.Expression): expression to find table names +4677 +4678 Returns: +4679 list: A list of unique names +4680 """ +4681 return list(dict.fromkeys(column.table for column in expression.find_all(Column))) +4682 +4683 +4684def table_name(table) -> str: +4685 """Get the full name of a table as a string. +4686 +4687 Args: +4688 table (exp.Table | str): table expression node or string. +4689 +4690 Examples: +4691 >>> from sqlglot import exp, parse_one +4692 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) +4693 'a.b.c' +4694 +4695 Returns: +4696 The table name. +4697 """ +4698 +4699 table = maybe_parse(table, into=Table) +4700 +4701 if not table: +4702 raise ValueError(f"Cannot parse {table}") +4703 +4704 return ".".join( +4705 part +4706 for part in ( +4707 table.text("catalog"), +4708 table.text("db"), +4709 table.name, +4710 ) +4711 if part +4712 ) 4713 -4714 Args: -4715 expression (sqlglot.Expression): expression node to be transformed and replaced. -4716 args: positional names that will substitute unnamed placeholders in the given order. -4717 kwargs: keyword arguments that will substitute named placeholders. -4718 -4719 Examples: -4720 >>> from sqlglot import exp, parse_one -4721 >>> replace_placeholders( -4722 ... parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo" -4723 ... ).sql() -4724 'SELECT * FROM foo WHERE a = b' -4725 -4726 Returns: -4727 The mapped expression. -4728 """ -4729 -4730 def _replace_placeholders(node, args, **kwargs): -4731 if isinstance(node, Placeholder): -4732 if node.name: -4733 new_name = kwargs.get(node.name) -4734 if new_name: -4735 return to_identifier(new_name) -4736 else: -4737 try: -4738 return to_identifier(next(args)) -4739 except StopIteration: -4740 pass -4741 return node +4714 +4715def replace_tables(expression, mapping): +4716 """Replace all tables in expression according to the mapping. +4717 +4718 Args: +4719 expression (sqlglot.Expression): expression node to be transformed and replaced. +4720 mapping (Dict[str, str]): mapping of table names. +4721 +4722 Examples: +4723 >>> from sqlglot import exp, parse_one +4724 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() +4725 'SELECT * FROM c' +4726 +4727 Returns: +4728 The mapped expression. +4729 """ +4730 +4731 def _replace_tables(node): +4732 if isinstance(node, Table): +4733 new_name = mapping.get(table_name(node)) +4734 if new_name: +4735 return to_table( +4736 new_name, +4737 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, +4738 ) +4739 return node +4740 +4741 return expression.transform(_replace_tables) 4742 -4743 return expression.transform(_replace_placeholders, iter(args), **kwargs) -4744 -4745 -4746def expand(expression: Expression, sources: t.Dict[str, Subqueryable], copy=True) -> Expression: -4747 """Transforms an expression by expanding all referenced sources into subqueries. -4748 -4749 Examples: -4750 >>> from sqlglot import parse_one -4751 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() -4752 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' -4753 -4754 Args: -4755 expression: The expression to expand. -4756 sources: A dictionary of name to Subqueryables. -4757 copy: Whether or not to copy the expression during transformation. Defaults to True. +4743 +4744def replace_placeholders(expression, *args, **kwargs): +4745 """Replace placeholders in an expression. +4746 +4747 Args: +4748 expression (sqlglot.Expression): expression node to be transformed and replaced. +4749 args: positional names that will substitute unnamed placeholders in the given order. +4750 kwargs: keyword arguments that will substitute named placeholders. +4751 +4752 Examples: +4753 >>> from sqlglot import exp, parse_one +4754 >>> replace_placeholders( +4755 ... parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo" +4756 ... ).sql() +4757 'SELECT * FROM foo WHERE a = b' 4758 4759 Returns: -4760 The transformed expression. +4760 The mapped expression. 4761 """ 4762 -4763 def _expand(node: Expression): -4764 if isinstance(node, Table): -4765 name = table_name(node) -4766 source = sources.get(name) -4767 if source: -4768 subquery = source.subquery(node.alias or name) -4769 subquery.comments = [f"source: {name}"] -4770 return subquery -4771 return node -4772 -4773 return expression.transform(_expand, copy=copy) -4774 +4763 def _replace_placeholders(node, args, **kwargs): +4764 if isinstance(node, Placeholder): +4765 if node.name: +4766 new_name = kwargs.get(node.name) +4767 if new_name: +4768 return to_identifier(new_name) +4769 else: +4770 try: +4771 return to_identifier(next(args)) +4772 except StopIteration: +4773 pass +4774 return node 4775 -4776def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: -4777 """ -4778 Returns a Func expression. -4779 -4780 Examples: -4781 >>> func("abs", 5).sql() -4782 'ABS(5)' -4783 -4784 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() -4785 'CAST(5 AS DOUBLE)' +4776 return expression.transform(_replace_placeholders, iter(args), **kwargs) +4777 +4778 +4779def expand(expression: Expression, sources: t.Dict[str, Subqueryable], copy=True) -> Expression: +4780 """Transforms an expression by expanding all referenced sources into subqueries. +4781 +4782 Examples: +4783 >>> from sqlglot import parse_one +4784 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() +4785 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' 4786 4787 Args: -4788 name: the name of the function to build. -4789 args: the args used to instantiate the function of interest. -4790 dialect: the source dialect. -4791 kwargs: the kwargs used to instantiate the function of interest. -4792 -4793 Note: -4794 The arguments `args` and `kwargs` are mutually exclusive. +4788 expression: The expression to expand. +4789 sources: A dictionary of name to Subqueryables. +4790 copy: Whether or not to copy the expression during transformation. Defaults to True. +4791 +4792 Returns: +4793 The transformed expression. +4794 """ 4795 -4796 Returns: -4797 An instance of the function of interest, or an anonymous function, if `name` doesn't -4798 correspond to an existing `sqlglot.expressions.Func` class. -4799 """ -4800 if args and kwargs: -4801 raise ValueError("Can't use both args and kwargs to instantiate a function.") -4802 -4803 from sqlglot.dialects.dialect import Dialect -4804 -4805 args = tuple(convert(arg) for arg in args) -4806 kwargs = {key: convert(value) for key, value in kwargs.items()} +4796 def _expand(node: Expression): +4797 if isinstance(node, Table): +4798 name = table_name(node) +4799 source = sources.get(name) +4800 if source: +4801 subquery = source.subquery(node.alias or name) +4802 subquery.comments = [f"source: {name}"] +4803 return subquery +4804 return node +4805 +4806 return expression.transform(_expand, copy=copy) 4807 -4808 parser = Dialect.get_or_raise(dialect)().parser() -4809 from_args_list = parser.FUNCTIONS.get(name.upper()) -4810 -4811 if from_args_list: -4812 function = from_args_list(args) if args else from_args_list.__self__(**kwargs) # type: ignore -4813 else: -4814 kwargs = kwargs or {"expressions": args} -4815 function = Anonymous(this=name, **kwargs) +4808 +4809def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: +4810 """ +4811 Returns a Func expression. +4812 +4813 Examples: +4814 >>> func("abs", 5).sql() +4815 'ABS(5)' 4816 -4817 for error_message in function.error_messages(args): -4818 raise ValueError(error_message) +4817 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() +4818 'CAST(5 AS DOUBLE)' 4819 -4820 return function -4821 -4822 -4823def true(): -4824 """ -4825 Returns a true Boolean expression. -4826 """ -4827 return Boolean(this=True) +4820 Args: +4821 name: the name of the function to build. +4822 args: the args used to instantiate the function of interest. +4823 dialect: the source dialect. +4824 kwargs: the kwargs used to instantiate the function of interest. +4825 +4826 Note: +4827 The arguments `args` and `kwargs` are mutually exclusive. 4828 -4829 -4830def false(): -4831 """ -4832 Returns a false Boolean expression. -4833 """ -4834 return Boolean(this=False) +4829 Returns: +4830 An instance of the function of interest, or an anonymous function, if `name` doesn't +4831 correspond to an existing `sqlglot.expressions.Func` class. +4832 """ +4833 if args and kwargs: +4834 raise ValueError("Can't use both args and kwargs to instantiate a function.") 4835 -4836 -4837def null(): -4838 """ -4839 Returns a Null expression. -4840 """ -4841 return Null() -4842 +4836 from sqlglot.dialects.dialect import Dialect +4837 +4838 args = tuple(convert(arg) for arg in args) +4839 kwargs = {key: convert(value) for key, value in kwargs.items()} +4840 +4841 parser = Dialect.get_or_raise(dialect)().parser() +4842 from_args_list = parser.FUNCTIONS.get(name.upper()) 4843 -4844# TODO: deprecate this -4845TRUE = Boolean(this=True) -4846FALSE = Boolean(this=False) -4847NULL = Null() +4844 if from_args_list: +4845 function = from_args_list(args) if args else from_args_list.__self__(**kwargs) # type: ignore +4846 else: +4847 kwargs = kwargs or {"expressions": args} +4848 function = Anonymous(this=name, **kwargs) +4849 +4850 for error_message in function.error_messages(args): +4851 raise ValueError(error_message) +4852 +4853 return function +4854 +4855 +4856def true(): +4857 """ +4858 Returns a true Boolean expression. +4859 """ +4860 return Boolean(this=True) +4861 +4862 +4863def false(): +4864 """ +4865 Returns a false Boolean expression. +4866 """ +4867 return Boolean(this=False) +4868 +4869 +4870def null(): +4871 """ +4872 Returns a Null expression. +4873 """ +4874 return Null() +4875 +4876 +4877# TODO: deprecate this +4878TRUE = Boolean(this=True) +4879FALSE = Boolean(this=False) +4880NULL = Null()
  • @@ -7721,563 +7787,573 @@ SQL expressions, such as sqlglot.expressions.select< -
     54class Expression(metaclass=_Expression):
    - 55    """
    - 56    The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary
    - 57    context, such as its child expressions, their names (arg keys), and whether a given child expression
    - 58    is optional or not.
    - 59
    - 60    Attributes:
    - 61        key: a unique key for each class in the Expression hierarchy. This is useful for hashing
    - 62            and representing expressions as strings.
    - 63        arg_types: determines what arguments (child nodes) are supported by an expression. It
    - 64            maps arg keys to booleans that indicate whether the corresponding args are optional.
    - 65
    - 66    Example:
    - 67        >>> class Foo(Expression):
    - 68        ...     arg_types = {"this": True, "expression": False}
    - 69
    - 70        The above definition informs us that Foo is an Expression that requires an argument called
    - 71        "this" and may also optionally receive an argument called "expression".
    - 72
    - 73    Args:
    - 74        args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    - 75        parent: a reference to the parent expression (or None, in case of root expressions).
    - 76        arg_key: the arg key an expression is associated with, i.e. the name its parent expression
    - 77            uses to refer to it.
    - 78        comments: a list of comments that are associated with a given expression. This is used in
    - 79            order to preserve comments when transpiling SQL code.
    - 80        _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the
    - 81            optimizer, in order to enable some transformations that require type information.
    - 82    """
    - 83
    - 84    key = "expression"
    - 85    arg_types = {"this": True}
    - 86    __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta")
    - 87
    - 88    def __init__(self, **args: t.Any):
    - 89        self.args: t.Dict[str, t.Any] = args
    - 90        self.parent: t.Optional[Expression] = None
    - 91        self.arg_key: t.Optional[str] = None
    - 92        self.comments: t.Optional[t.List[str]] = None
    - 93        self._type: t.Optional[DataType] = None
    - 94        self._meta: t.Optional[t.Dict[str, t.Any]] = None
    - 95
    - 96        for arg_key, value in self.args.items():
    - 97            self._set_parent(arg_key, value)
    - 98
    - 99    def __eq__(self, other) -> bool:
    -100        return type(self) is type(other) and _norm_args(self) == _norm_args(other)
    -101
    -102    def __hash__(self) -> int:
    -103        return hash(
    -104            (
    -105                self.key,
    -106                tuple(
    -107                    (k, tuple(v) if isinstance(v, list) else v) for k, v in _norm_args(self).items()
    -108                ),
    -109            )
    -110        )
    -111
    -112    @property
    -113    def this(self):
    -114        """
    -115        Retrieves the argument with key "this".
    -116        """
    -117        return self.args.get("this")
    -118
    -119    @property
    -120    def expression(self):
    -121        """
    -122        Retrieves the argument with key "expression".
    -123        """
    -124        return self.args.get("expression")
    -125
    -126    @property
    -127    def expressions(self):
    -128        """
    -129        Retrieves the argument with key "expressions".
    -130        """
    -131        return self.args.get("expressions") or []
    -132
    -133    def text(self, key) -> str:
    -134        """
    -135        Returns a textual representation of the argument corresponding to "key". This can only be used
    -136        for args that are strings or leaf Expression instances, such as identifiers and literals.
    -137        """
    -138        field = self.args.get(key)
    -139        if isinstance(field, str):
    -140            return field
    -141        if isinstance(field, (Identifier, Literal, Var)):
    -142            return field.this
    -143        if isinstance(field, (Star, Null)):
    -144            return field.name
    -145        return ""
    -146
    -147    @property
    -148    def is_string(self) -> bool:
    -149        """
    -150        Checks whether a Literal expression is a string.
    -151        """
    -152        return isinstance(self, Literal) and self.args["is_string"]
    -153
    -154    @property
    -155    def is_number(self) -> bool:
    -156        """
    -157        Checks whether a Literal expression is a number.
    -158        """
    -159        return isinstance(self, Literal) and not self.args["is_string"]
    -160
    -161    @property
    -162    def is_int(self) -> bool:
    -163        """
    -164        Checks whether a Literal expression is an integer.
    -165        """
    -166        if self.is_number:
    -167            try:
    -168                int(self.name)
    -169                return True
    -170            except ValueError:
    -171                pass
    -172        return False
    -173
    -174    @property
    -175    def is_star(self) -> bool:
    -176        """Checks whether an expression is a star."""
    -177        return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star))
    -178
    -179    @property
    -180    def alias(self) -> str:
    -181        """
    -182        Returns the alias of the expression, or an empty string if it's not aliased.
    -183        """
    -184        if isinstance(self.args.get("alias"), TableAlias):
    -185            return self.args["alias"].name
    -186        return self.text("alias")
    -187
    -188    @property
    -189    def name(self) -> str:
    -190        return self.text("this")
    -191
    -192    @property
    -193    def alias_or_name(self):
    -194        return self.alias or self.name
    -195
    -196    @property
    -197    def output_name(self):
    -198        """
    -199        Name of the output column if this expression is a selection.
    -200
    -201        If the Expression has no output name, an empty string is returned.
    +            
     56class Expression(metaclass=_Expression):
    + 57    """
    + 58    The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary
    + 59    context, such as its child expressions, their names (arg keys), and whether a given child expression
    + 60    is optional or not.
    + 61
    + 62    Attributes:
    + 63        key: a unique key for each class in the Expression hierarchy. This is useful for hashing
    + 64            and representing expressions as strings.
    + 65        arg_types: determines what arguments (child nodes) are supported by an expression. It
    + 66            maps arg keys to booleans that indicate whether the corresponding args are optional.
    + 67
    + 68    Example:
    + 69        >>> class Foo(Expression):
    + 70        ...     arg_types = {"this": True, "expression": False}
    + 71
    + 72        The above definition informs us that Foo is an Expression that requires an argument called
    + 73        "this" and may also optionally receive an argument called "expression".
    + 74
    + 75    Args:
    + 76        args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    + 77        parent: a reference to the parent expression (or None, in case of root expressions).
    + 78        arg_key: the arg key an expression is associated with, i.e. the name its parent expression
    + 79            uses to refer to it.
    + 80        comments: a list of comments that are associated with a given expression. This is used in
    + 81            order to preserve comments when transpiling SQL code.
    + 82        _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the
    + 83            optimizer, in order to enable some transformations that require type information.
    + 84    """
    + 85
    + 86    key = "expression"
    + 87    arg_types = {"this": True}
    + 88    __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta")
    + 89
    + 90    def __init__(self, **args: t.Any):
    + 91        self.args: t.Dict[str, t.Any] = args
    + 92        self.parent: t.Optional[Expression] = None
    + 93        self.arg_key: t.Optional[str] = None
    + 94        self.comments: t.Optional[t.List[str]] = None
    + 95        self._type: t.Optional[DataType] = None
    + 96        self._meta: t.Optional[t.Dict[str, t.Any]] = None
    + 97
    + 98        for arg_key, value in self.args.items():
    + 99            self._set_parent(arg_key, value)
    +100
    +101    def __eq__(self, other) -> bool:
    +102        return type(self) is type(other) and _norm_args(self) == _norm_args(other)
    +103
    +104    def __hash__(self) -> int:
    +105        return hash(
    +106            (
    +107                self.key,
    +108                tuple(
    +109                    (k, tuple(v) if isinstance(v, list) else v) for k, v in _norm_args(self).items()
    +110                ),
    +111            )
    +112        )
    +113
    +114    @property
    +115    def this(self):
    +116        """
    +117        Retrieves the argument with key "this".
    +118        """
    +119        return self.args.get("this")
    +120
    +121    @property
    +122    def expression(self):
    +123        """
    +124        Retrieves the argument with key "expression".
    +125        """
    +126        return self.args.get("expression")
    +127
    +128    @property
    +129    def expressions(self):
    +130        """
    +131        Retrieves the argument with key "expressions".
    +132        """
    +133        return self.args.get("expressions") or []
    +134
    +135    def text(self, key) -> str:
    +136        """
    +137        Returns a textual representation of the argument corresponding to "key". This can only be used
    +138        for args that are strings or leaf Expression instances, such as identifiers and literals.
    +139        """
    +140        field = self.args.get(key)
    +141        if isinstance(field, str):
    +142            return field
    +143        if isinstance(field, (Identifier, Literal, Var)):
    +144            return field.this
    +145        if isinstance(field, (Star, Null)):
    +146            return field.name
    +147        return ""
    +148
    +149    @property
    +150    def is_string(self) -> bool:
    +151        """
    +152        Checks whether a Literal expression is a string.
    +153        """
    +154        return isinstance(self, Literal) and self.args["is_string"]
    +155
    +156    @property
    +157    def is_number(self) -> bool:
    +158        """
    +159        Checks whether a Literal expression is a number.
    +160        """
    +161        return isinstance(self, Literal) and not self.args["is_string"]
    +162
    +163    @property
    +164    def is_int(self) -> bool:
    +165        """
    +166        Checks whether a Literal expression is an integer.
    +167        """
    +168        if self.is_number:
    +169            try:
    +170                int(self.name)
    +171                return True
    +172            except ValueError:
    +173                pass
    +174        return False
    +175
    +176    @property
    +177    def is_star(self) -> bool:
    +178        """Checks whether an expression is a star."""
    +179        return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star))
    +180
    +181    @property
    +182    def alias(self) -> str:
    +183        """
    +184        Returns the alias of the expression, or an empty string if it's not aliased.
    +185        """
    +186        if isinstance(self.args.get("alias"), TableAlias):
    +187            return self.args["alias"].name
    +188        return self.text("alias")
    +189
    +190    @property
    +191    def name(self) -> str:
    +192        return self.text("this")
    +193
    +194    @property
    +195    def alias_or_name(self):
    +196        return self.alias or self.name
    +197
    +198    @property
    +199    def output_name(self):
    +200        """
    +201        Name of the output column if this expression is a selection.
     202
    -203        Example:
    -204            >>> from sqlglot import parse_one
    -205            >>> parse_one("SELECT a").expressions[0].output_name
    -206            'a'
    -207            >>> parse_one("SELECT b AS c").expressions[0].output_name
    -208            'c'
    -209            >>> parse_one("SELECT 1 + 2").expressions[0].output_name
    -210            ''
    -211        """
    -212        return ""
    -213
    -214    @property
    -215    def type(self) -> t.Optional[DataType]:
    -216        return self._type
    -217
    -218    @type.setter
    -219    def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None:
    -220        if dtype and not isinstance(dtype, DataType):
    -221            dtype = DataType.build(dtype)
    -222        self._type = dtype  # type: ignore
    -223
    -224    @property
    -225    def meta(self) -> t.Dict[str, t.Any]:
    -226        if self._meta is None:
    -227            self._meta = {}
    -228        return self._meta
    -229
    -230    def __deepcopy__(self, memo):
    -231        copy = self.__class__(**deepcopy(self.args))
    -232        if self.comments is not None:
    -233            copy.comments = deepcopy(self.comments)
    -234
    -235        if self._type is not None:
    -236            copy._type = self._type.copy()
    -237
    -238        if self._meta is not None:
    -239            copy._meta = deepcopy(self._meta)
    -240
    -241        return copy
    +203        If the Expression has no output name, an empty string is returned.
    +204
    +205        Example:
    +206            >>> from sqlglot import parse_one
    +207            >>> parse_one("SELECT a").expressions[0].output_name
    +208            'a'
    +209            >>> parse_one("SELECT b AS c").expressions[0].output_name
    +210            'c'
    +211            >>> parse_one("SELECT 1 + 2").expressions[0].output_name
    +212            ''
    +213        """
    +214        return ""
    +215
    +216    @property
    +217    def type(self) -> t.Optional[DataType]:
    +218        return self._type
    +219
    +220    @type.setter
    +221    def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None:
    +222        if dtype and not isinstance(dtype, DataType):
    +223            dtype = DataType.build(dtype)
    +224        self._type = dtype  # type: ignore
    +225
    +226    @property
    +227    def meta(self) -> t.Dict[str, t.Any]:
    +228        if self._meta is None:
    +229            self._meta = {}
    +230        return self._meta
    +231
    +232    def __deepcopy__(self, memo):
    +233        copy = self.__class__(**deepcopy(self.args))
    +234        if self.comments is not None:
    +235            copy.comments = deepcopy(self.comments)
    +236
    +237        if self._type is not None:
    +238            copy._type = self._type.copy()
    +239
    +240        if self._meta is not None:
    +241            copy._meta = deepcopy(self._meta)
     242
    -243    def copy(self):
    -244        """
    -245        Returns a deep copy of the expression.
    -246        """
    -247        new = deepcopy(self)
    -248        new.parent = self.parent
    -249        for item, parent, _ in new.bfs():
    -250            if isinstance(item, Expression) and parent:
    -251                item.parent = parent
    -252        return new
    -253
    -254    def append(self, arg_key, value):
    -255        """
    -256        Appends value to arg_key if it's a list or sets it as a new list.
    -257
    -258        Args:
    -259            arg_key (str): name of the list expression arg
    -260            value (Any): value to append to the list
    -261        """
    -262        if not isinstance(self.args.get(arg_key), list):
    -263            self.args[arg_key] = []
    -264        self.args[arg_key].append(value)
    -265        self._set_parent(arg_key, value)
    -266
    -267    def set(self, arg_key, value):
    -268        """
    -269        Sets `arg_key` to `value`.
    -270
    -271        Args:
    -272            arg_key (str): name of the expression arg.
    -273            value: value to set the arg to.
    -274        """
    -275        self.args[arg_key] = value
    -276        self._set_parent(arg_key, value)
    -277
    -278    def _set_parent(self, arg_key, value):
    -279        if isinstance(value, Expression):
    -280            value.parent = self
    -281            value.arg_key = arg_key
    -282        elif isinstance(value, list):
    -283            for v in value:
    -284                if isinstance(v, Expression):
    -285                    v.parent = self
    -286                    v.arg_key = arg_key
    -287
    -288    @property
    -289    def depth(self):
    -290        """
    -291        Returns the depth of this tree.
    -292        """
    -293        if self.parent:
    -294            return self.parent.depth + 1
    -295        return 0
    -296
    -297    def find(self, *expression_types, bfs=True):
    -298        """
    -299        Returns the first node in this tree which matches at least one of
    -300        the specified types.
    -301
    -302        Args:
    -303            expression_types (type): the expression type(s) to match.
    -304
    -305        Returns:
    -306            The node which matches the criteria or None if no such node was found.
    -307        """
    -308        return next(self.find_all(*expression_types, bfs=bfs), None)
    -309
    -310    def find_all(self, *expression_types, bfs=True):
    -311        """
    -312        Returns a generator object which visits all nodes in this tree and only
    -313        yields those that match at least one of the specified expression types.
    -314
    -315        Args:
    -316            expression_types (type): the expression type(s) to match.
    -317
    -318        Returns:
    -319            The generator object.
    -320        """
    -321        for expression, _, _ in self.walk(bfs=bfs):
    -322            if isinstance(expression, expression_types):
    -323                yield expression
    -324
    -325    def find_ancestor(self, *expression_types):
    -326        """
    -327        Returns a nearest parent matching expression_types.
    -328
    -329        Args:
    -330            expression_types (type): the expression type(s) to match.
    -331
    -332        Returns:
    -333            The parent node.
    -334        """
    -335        ancestor = self.parent
    -336        while ancestor and not isinstance(ancestor, expression_types):
    -337            ancestor = ancestor.parent
    -338        return ancestor
    -339
    -340    @property
    -341    def parent_select(self):
    -342        """
    -343        Returns the parent select statement.
    -344        """
    -345        return self.find_ancestor(Select)
    -346
    -347    def walk(self, bfs=True, prune=None):
    -348        """
    -349        Returns a generator object which visits all nodes in this tree.
    -350
    -351        Args:
    -352            bfs (bool): if set to True the BFS traversal order will be applied,
    -353                otherwise the DFS traversal will be used instead.
    -354            prune ((node, parent, arg_key) -> bool): callable that returns True if
    -355                the generator should stop traversing this branch of the tree.
    -356
    -357        Returns:
    -358            the generator object.
    -359        """
    -360        if bfs:
    -361            yield from self.bfs(prune=prune)
    -362        else:
    -363            yield from self.dfs(prune=prune)
    -364
    -365    def dfs(self, parent=None, key=None, prune=None):
    -366        """
    -367        Returns a generator object which visits all nodes in this tree in
    -368        the DFS (Depth-first) order.
    -369
    -370        Returns:
    -371            The generator object.
    -372        """
    -373        parent = parent or self.parent
    -374        yield self, parent, key
    -375        if prune and prune(self, parent, key):
    -376            return
    -377
    -378        for k, v in self.args.items():
    -379            for node in ensure_collection(v):
    -380                if isinstance(node, Expression):
    -381                    yield from node.dfs(self, k, prune)
    -382
    -383    def bfs(self, prune=None):
    -384        """
    -385        Returns a generator object which visits all nodes in this tree in
    -386        the BFS (Breadth-first) order.
    -387
    -388        Returns:
    -389            The generator object.
    -390        """
    -391        queue = deque([(self, self.parent, None)])
    -392
    -393        while queue:
    -394            item, parent, key = queue.popleft()
    -395
    -396            yield item, parent, key
    -397            if prune and prune(item, parent, key):
    -398                continue
    +243        return copy
    +244
    +245    def copy(self):
    +246        """
    +247        Returns a deep copy of the expression.
    +248        """
    +249        new = deepcopy(self)
    +250        new.parent = self.parent
    +251        for item, parent, _ in new.bfs():
    +252            if isinstance(item, Expression) and parent:
    +253                item.parent = parent
    +254        return new
    +255
    +256    def append(self, arg_key, value):
    +257        """
    +258        Appends value to arg_key if it's a list or sets it as a new list.
    +259
    +260        Args:
    +261            arg_key (str): name of the list expression arg
    +262            value (Any): value to append to the list
    +263        """
    +264        if not isinstance(self.args.get(arg_key), list):
    +265            self.args[arg_key] = []
    +266        self.args[arg_key].append(value)
    +267        self._set_parent(arg_key, value)
    +268
    +269    def set(self, arg_key, value):
    +270        """
    +271        Sets `arg_key` to `value`.
    +272
    +273        Args:
    +274            arg_key (str): name of the expression arg.
    +275            value: value to set the arg to.
    +276        """
    +277        self.args[arg_key] = value
    +278        self._set_parent(arg_key, value)
    +279
    +280    def _set_parent(self, arg_key, value):
    +281        if isinstance(value, Expression):
    +282            value.parent = self
    +283            value.arg_key = arg_key
    +284        elif isinstance(value, list):
    +285            for v in value:
    +286                if isinstance(v, Expression):
    +287                    v.parent = self
    +288                    v.arg_key = arg_key
    +289
    +290    @property
    +291    def depth(self):
    +292        """
    +293        Returns the depth of this tree.
    +294        """
    +295        if self.parent:
    +296            return self.parent.depth + 1
    +297        return 0
    +298
    +299    def find(self, *expression_types: t.Type[E], bfs=True) -> E | None:
    +300        """
    +301        Returns the first node in this tree which matches at least one of
    +302        the specified types.
    +303
    +304        Args:
    +305            expression_types (type): the expression type(s) to match.
    +306
    +307        Returns:
    +308            The node which matches the criteria or None if no such node was found.
    +309        """
    +310        return next(self.find_all(*expression_types, bfs=bfs), None)
    +311
    +312    def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]:
    +313        """
    +314        Returns a generator object which visits all nodes in this tree and only
    +315        yields those that match at least one of the specified expression types.
    +316
    +317        Args:
    +318            expression_types (type): the expression type(s) to match.
    +319
    +320        Returns:
    +321            The generator object.
    +322        """
    +323        for expression, _, _ in self.walk(bfs=bfs):
    +324            if isinstance(expression, expression_types):
    +325                yield expression
    +326
    +327    def find_ancestor(self, *expression_types: t.Type[E]) -> E | None:
    +328        """
    +329        Returns a nearest parent matching expression_types.
    +330
    +331        Args:
    +332            expression_types (type): the expression type(s) to match.
    +333
    +334        Returns:
    +335            The parent node.
    +336        """
    +337        ancestor = self.parent
    +338        while ancestor and not isinstance(ancestor, expression_types):
    +339            ancestor = ancestor.parent
    +340        # ignore type because mypy doesn't know that we're checking type in the loop
    +341        return ancestor  # type: ignore[return-value]
    +342
    +343    @property
    +344    def parent_select(self):
    +345        """
    +346        Returns the parent select statement.
    +347        """
    +348        return self.find_ancestor(Select)
    +349
    +350    def root(self) -> Expression:
    +351        """
    +352        Returns the root expression of this tree.
    +353        """
    +354        expression = self
    +355        while expression.parent:
    +356            expression = expression.parent
    +357        return expression
    +358
    +359    def walk(self, bfs=True, prune=None):
    +360        """
    +361        Returns a generator object which visits all nodes in this tree.
    +362
    +363        Args:
    +364            bfs (bool): if set to True the BFS traversal order will be applied,
    +365                otherwise the DFS traversal will be used instead.
    +366            prune ((node, parent, arg_key) -> bool): callable that returns True if
    +367                the generator should stop traversing this branch of the tree.
    +368
    +369        Returns:
    +370            the generator object.
    +371        """
    +372        if bfs:
    +373            yield from self.bfs(prune=prune)
    +374        else:
    +375            yield from self.dfs(prune=prune)
    +376
    +377    def dfs(self, parent=None, key=None, prune=None):
    +378        """
    +379        Returns a generator object which visits all nodes in this tree in
    +380        the DFS (Depth-first) order.
    +381
    +382        Returns:
    +383            The generator object.
    +384        """
    +385        parent = parent or self.parent
    +386        yield self, parent, key
    +387        if prune and prune(self, parent, key):
    +388            return
    +389
    +390        for k, v in self.args.items():
    +391            for node in ensure_collection(v):
    +392                if isinstance(node, Expression):
    +393                    yield from node.dfs(self, k, prune)
    +394
    +395    def bfs(self, prune=None):
    +396        """
    +397        Returns a generator object which visits all nodes in this tree in
    +398        the BFS (Breadth-first) order.
     399
    -400            if isinstance(item, Expression):
    -401                for k, v in item.args.items():
    -402                    for node in ensure_collection(v):
    -403                        if isinstance(node, Expression):
    -404                            queue.append((node, item, k))
    -405
    -406    def unnest(self):
    -407        """
    -408        Returns the first non parenthesis child or self.
    -409        """
    -410        expression = self
    -411        while isinstance(expression, Paren):
    -412            expression = expression.this
    -413        return expression
    -414
    -415    def unalias(self):
    -416        """
    -417        Returns the inner expression if this is an Alias.
    -418        """
    -419        if isinstance(self, Alias):
    -420            return self.this
    -421        return self
    -422
    -423    def unnest_operands(self):
    -424        """
    -425        Returns unnested operands as a tuple.
    -426        """
    -427        return tuple(arg.unnest() for arg in self.args.values() if arg)
    -428
    -429    def flatten(self, unnest=True):
    -430        """
    -431        Returns a generator which yields child nodes who's parents are the same class.
    -432
    -433        A AND B AND C -> [A, B, C]
    -434        """
    -435        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)):
    -436            if not isinstance(node, self.__class__):
    -437                yield node.unnest() if unnest else node
    -438
    -439    def __str__(self):
    -440        return self.sql()
    -441
    -442    def __repr__(self):
    -443        return self._to_s()
    +400        Returns:
    +401            The generator object.
    +402        """
    +403        queue = deque([(self, self.parent, None)])
    +404
    +405        while queue:
    +406            item, parent, key = queue.popleft()
    +407
    +408            yield item, parent, key
    +409            if prune and prune(item, parent, key):
    +410                continue
    +411
    +412            if isinstance(item, Expression):
    +413                for k, v in item.args.items():
    +414                    for node in ensure_collection(v):
    +415                        if isinstance(node, Expression):
    +416                            queue.append((node, item, k))
    +417
    +418    def unnest(self):
    +419        """
    +420        Returns the first non parenthesis child or self.
    +421        """
    +422        expression = self
    +423        while isinstance(expression, Paren):
    +424            expression = expression.this
    +425        return expression
    +426
    +427    def unalias(self):
    +428        """
    +429        Returns the inner expression if this is an Alias.
    +430        """
    +431        if isinstance(self, Alias):
    +432            return self.this
    +433        return self
    +434
    +435    def unnest_operands(self):
    +436        """
    +437        Returns unnested operands as a tuple.
    +438        """
    +439        return tuple(arg.unnest() for arg in self.args.values() if arg)
    +440
    +441    def flatten(self, unnest=True):
    +442        """
    +443        Returns a generator which yields child nodes who's parents are the same class.
     444
    -445    def sql(self, dialect: DialectType = None, **opts) -> str:
    -446        """
    -447        Returns SQL string representation of this tree.
    -448
    -449        Args:
    -450            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
    -451            opts: other `sqlglot.generator.Generator` options.
    -452
    -453        Returns:
    -454            The SQL string.
    -455        """
    -456        from sqlglot.dialects import Dialect
    -457
    -458        return Dialect.get_or_raise(dialect)().generate(self, **opts)
    -459
    -460    def _to_s(self, hide_missing: bool = True, level: int = 0) -> str:
    -461        indent = "" if not level else "\n"
    -462        indent += "".join(["  "] * level)
    -463        left = f"({self.key.upper()} "
    +445        A AND B AND C -> [A, B, C]
    +446        """
    +447        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)):
    +448            if not isinstance(node, self.__class__):
    +449                yield node.unnest() if unnest else node
    +450
    +451    def __str__(self):
    +452        return self.sql()
    +453
    +454    def __repr__(self):
    +455        return self._to_s()
    +456
    +457    def sql(self, dialect: DialectType = None, **opts) -> str:
    +458        """
    +459        Returns SQL string representation of this tree.
    +460
    +461        Args:
    +462            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
    +463            opts: other `sqlglot.generator.Generator` options.
     464
    -465        args: t.Dict[str, t.Any] = {
    -466            k: ", ".join(
    -467                v._to_s(hide_missing=hide_missing, level=level + 1)
    -468                if hasattr(v, "_to_s")
    -469                else str(v)
    -470                for v in ensure_collection(vs)
    -471                if v is not None
    -472            )
    -473            for k, vs in self.args.items()
    -474        }
    -475        args["comments"] = self.comments
    -476        args["type"] = self.type
    -477        args = {k: v for k, v in args.items() if v or not hide_missing}
    -478
    -479        right = ", ".join(f"{k}: {v}" for k, v in args.items())
    -480        right += ")"
    -481
    -482        return indent + left + right
    -483
    -484    def transform(self, fun, *args, copy=True, **kwargs):
    -485        """
    -486        Recursively visits all tree nodes (excluding already transformed ones)
    -487        and applies the given transformation function to each node.
    -488
    -489        Args:
    -490            fun (function): a function which takes a node as an argument and returns a
    -491                new transformed node or the same node without modifications. If the function
    -492                returns None, then the corresponding node will be removed from the syntax tree.
    -493            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
    -494                modified in place.
    +465        Returns:
    +466            The SQL string.
    +467        """
    +468        from sqlglot.dialects import Dialect
    +469
    +470        return Dialect.get_or_raise(dialect)().generate(self, **opts)
    +471
    +472    def _to_s(self, hide_missing: bool = True, level: int = 0) -> str:
    +473        indent = "" if not level else "\n"
    +474        indent += "".join(["  "] * level)
    +475        left = f"({self.key.upper()} "
    +476
    +477        args: t.Dict[str, t.Any] = {
    +478            k: ", ".join(
    +479                v._to_s(hide_missing=hide_missing, level=level + 1)
    +480                if hasattr(v, "_to_s")
    +481                else str(v)
    +482                for v in ensure_collection(vs)
    +483                if v is not None
    +484            )
    +485            for k, vs in self.args.items()
    +486        }
    +487        args["comments"] = self.comments
    +488        args["type"] = self.type
    +489        args = {k: v for k, v in args.items() if v or not hide_missing}
    +490
    +491        right = ", ".join(f"{k}: {v}" for k, v in args.items())
    +492        right += ")"
    +493
    +494        return indent + left + right
     495
    -496        Returns:
    -497            The transformed tree.
    -498        """
    -499        node = self.copy() if copy else self
    -500        new_node = fun(node, *args, **kwargs)
    -501
    -502        if new_node is None or not isinstance(new_node, Expression):
    -503            return new_node
    -504        if new_node is not node:
    -505            new_node.parent = node.parent
    -506            return new_node
    +496    def transform(self, fun, *args, copy=True, **kwargs):
    +497        """
    +498        Recursively visits all tree nodes (excluding already transformed ones)
    +499        and applies the given transformation function to each node.
    +500
    +501        Args:
    +502            fun (function): a function which takes a node as an argument and returns a
    +503                new transformed node or the same node without modifications. If the function
    +504                returns None, then the corresponding node will be removed from the syntax tree.
    +505            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
    +506                modified in place.
     507
    -508        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
    -509        return new_node
    -510
    -511    def replace(self, expression):
    -512        """
    -513        Swap out this expression with a new expression.
    -514
    -515        For example::
    -516
    -517            >>> tree = Select().select("x").from_("tbl")
    -518            >>> tree.find(Column).replace(Column(this="y"))
    -519            (COLUMN this: y)
    -520            >>> tree.sql()
    -521            'SELECT y FROM tbl'
    +508        Returns:
    +509            The transformed tree.
    +510        """
    +511        node = self.copy() if copy else self
    +512        new_node = fun(node, *args, **kwargs)
    +513
    +514        if new_node is None or not isinstance(new_node, Expression):
    +515            return new_node
    +516        if new_node is not node:
    +517            new_node.parent = node.parent
    +518            return new_node
    +519
    +520        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
    +521        return new_node
     522
    -523        Args:
    -524            expression (Expression|None): new node
    -525
    -526        Returns:
    -527            The new expression or expressions.
    -528        """
    -529        if not self.parent:
    -530            return expression
    -531
    -532        parent = self.parent
    -533        self.parent = None
    +523    def replace(self, expression):
    +524        """
    +525        Swap out this expression with a new expression.
    +526
    +527        For example::
    +528
    +529            >>> tree = Select().select("x").from_("tbl")
    +530            >>> tree.find(Column).replace(Column(this="y"))
    +531            (COLUMN this: y)
    +532            >>> tree.sql()
    +533            'SELECT y FROM tbl'
     534
    -535        replace_children(parent, lambda child: expression if child is self else child)
    -536        return expression
    +535        Args:
    +536            expression (Expression|None): new node
     537
    -538    def pop(self):
    -539        """
    -540        Remove this expression from its AST.
    -541        """
    -542        self.replace(None)
    +538        Returns:
    +539            The new expression or expressions.
    +540        """
    +541        if not self.parent:
    +542            return expression
     543
    -544    def assert_is(self, type_):
    -545        """
    -546        Assert that this `Expression` is an instance of `type_`.
    -547
    -548        If it is NOT an instance of `type_`, this raises an assertion error.
    -549        Otherwise, this returns this expression.
    -550
    -551        Examples:
    -552            This is useful for type security in chained expressions:
    -553
    -554            >>> import sqlglot
    -555            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
    -556            'SELECT x, z FROM y'
    -557        """
    -558        assert isinstance(self, type_)
    -559        return self
    -560
    -561    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
    -562        """
    -563        Checks if this expression is valid (e.g. all mandatory args are set).
    -564
    -565        Args:
    -566            args: a sequence of values that were used to instantiate a Func expression. This is used
    -567                to check that the provided arguments don't exceed the function argument limit.
    -568
    -569        Returns:
    -570            A list of error messages for all possible errors that were found.
    -571        """
    -572        errors: t.List[str] = []
    -573
    -574        for k in self.args:
    -575            if k not in self.arg_types:
    -576                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
    -577        for k, mandatory in self.arg_types.items():
    -578            v = self.args.get(k)
    -579            if mandatory and (v is None or (isinstance(v, list) and not v)):
    -580                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
    -581
    -582        if (
    -583            args
    -584            and isinstance(self, Func)
    -585            and len(args) > len(self.arg_types)
    -586            and not self.is_var_len_args
    -587        ):
    -588            errors.append(
    -589                f"The number of provided arguments ({len(args)}) is greater than "
    -590                f"the maximum number of supported arguments ({len(self.arg_types)})"
    -591            )
    -592
    -593        return errors
    -594
    -595    def dump(self):
    -596        """
    -597        Dump this Expression to a JSON-serializable dict.
    -598        """
    -599        from sqlglot.serde import dump
    -600
    -601        return dump(self)
    -602
    -603    @classmethod
    -604    def load(cls, obj):
    -605        """
    -606        Load a dict (as returned by `Expression.dump`) into an Expression instance.
    -607        """
    -608        from sqlglot.serde import load
    -609
    -610        return load(obj)
    +544        parent = self.parent
    +545        self.parent = None
    +546
    +547        replace_children(parent, lambda child: expression if child is self else child)
    +548        return expression
    +549
    +550    def pop(self):
    +551        """
    +552        Remove this expression from its AST.
    +553        """
    +554        self.replace(None)
    +555
    +556    def assert_is(self, type_):
    +557        """
    +558        Assert that this `Expression` is an instance of `type_`.
    +559
    +560        If it is NOT an instance of `type_`, this raises an assertion error.
    +561        Otherwise, this returns this expression.
    +562
    +563        Examples:
    +564            This is useful for type security in chained expressions:
    +565
    +566            >>> import sqlglot
    +567            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
    +568            'SELECT x, z FROM y'
    +569        """
    +570        assert isinstance(self, type_)
    +571        return self
    +572
    +573    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
    +574        """
    +575        Checks if this expression is valid (e.g. all mandatory args are set).
    +576
    +577        Args:
    +578            args: a sequence of values that were used to instantiate a Func expression. This is used
    +579                to check that the provided arguments don't exceed the function argument limit.
    +580
    +581        Returns:
    +582            A list of error messages for all possible errors that were found.
    +583        """
    +584        errors: t.List[str] = []
    +585
    +586        for k in self.args:
    +587            if k not in self.arg_types:
    +588                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
    +589        for k, mandatory in self.arg_types.items():
    +590            v = self.args.get(k)
    +591            if mandatory and (v is None or (isinstance(v, list) and not v)):
    +592                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
    +593
    +594        if (
    +595            args
    +596            and isinstance(self, Func)
    +597            and len(args) > len(self.arg_types)
    +598            and not self.is_var_len_args
    +599        ):
    +600            errors.append(
    +601                f"The number of provided arguments ({len(args)}) is greater than "
    +602                f"the maximum number of supported arguments ({len(self.arg_types)})"
    +603            )
    +604
    +605        return errors
    +606
    +607    def dump(self):
    +608        """
    +609        Dump this Expression to a JSON-serializable dict.
    +610        """
    +611        from sqlglot.serde import dump
    +612
    +613        return dump(self)
    +614
    +615    @classmethod
    +616    def load(cls, obj):
    +617        """
    +618        Load a dict (as returned by `Expression.dump`) into an Expression instance.
    +619        """
    +620        from sqlglot.serde import load
    +621
    +622        return load(obj)
     
    @@ -8332,16 +8408,16 @@ optimizer, in order to enable some transformations that require type information
    -
    88    def __init__(self, **args: t.Any):
    -89        self.args: t.Dict[str, t.Any] = args
    -90        self.parent: t.Optional[Expression] = None
    -91        self.arg_key: t.Optional[str] = None
    -92        self.comments: t.Optional[t.List[str]] = None
    -93        self._type: t.Optional[DataType] = None
    -94        self._meta: t.Optional[t.Dict[str, t.Any]] = None
    -95
    -96        for arg_key, value in self.args.items():
    -97            self._set_parent(arg_key, value)
    +            
    90    def __init__(self, **args: t.Any):
    +91        self.args: t.Dict[str, t.Any] = args
    +92        self.parent: t.Optional[Expression] = None
    +93        self.arg_key: t.Optional[str] = None
    +94        self.comments: t.Optional[t.List[str]] = None
    +95        self._type: t.Optional[DataType] = None
    +96        self._meta: t.Optional[t.Dict[str, t.Any]] = None
    +97
    +98        for arg_key, value in self.args.items():
    +99            self._set_parent(arg_key, value)
     
    @@ -8398,19 +8474,19 @@ optimizer, in order to enable some transformations that require type information
    -
    133    def text(self, key) -> str:
    -134        """
    -135        Returns a textual representation of the argument corresponding to "key". This can only be used
    -136        for args that are strings or leaf Expression instances, such as identifiers and literals.
    -137        """
    -138        field = self.args.get(key)
    -139        if isinstance(field, str):
    -140            return field
    -141        if isinstance(field, (Identifier, Literal, Var)):
    -142            return field.this
    -143        if isinstance(field, (Star, Null)):
    -144            return field.name
    -145        return ""
    +            
    135    def text(self, key) -> str:
    +136        """
    +137        Returns a textual representation of the argument corresponding to "key". This can only be used
    +138        for args that are strings or leaf Expression instances, such as identifiers and literals.
    +139        """
    +140        field = self.args.get(key)
    +141        if isinstance(field, str):
    +142            return field
    +143        if isinstance(field, (Identifier, Literal, Var)):
    +144            return field.this
    +145        if isinstance(field, (Star, Null)):
    +146            return field.name
    +147        return ""
     
    @@ -8526,16 +8602,16 @@ for args that are strings or leaf Expression instances, such as identifiers and
    -
    243    def copy(self):
    -244        """
    -245        Returns a deep copy of the expression.
    -246        """
    -247        new = deepcopy(self)
    -248        new.parent = self.parent
    -249        for item, parent, _ in new.bfs():
    -250            if isinstance(item, Expression) and parent:
    -251                item.parent = parent
    -252        return new
    +            
    245    def copy(self):
    +246        """
    +247        Returns a deep copy of the expression.
    +248        """
    +249        new = deepcopy(self)
    +250        new.parent = self.parent
    +251        for item, parent, _ in new.bfs():
    +252            if isinstance(item, Expression) and parent:
    +253                item.parent = parent
    +254        return new
     
    @@ -8555,18 +8631,18 @@ for args that are strings or leaf Expression instances, such as identifiers and
    -
    254    def append(self, arg_key, value):
    -255        """
    -256        Appends value to arg_key if it's a list or sets it as a new list.
    -257
    -258        Args:
    -259            arg_key (str): name of the list expression arg
    -260            value (Any): value to append to the list
    -261        """
    -262        if not isinstance(self.args.get(arg_key), list):
    -263            self.args[arg_key] = []
    -264        self.args[arg_key].append(value)
    -265        self._set_parent(arg_key, value)
    +            
    256    def append(self, arg_key, value):
    +257        """
    +258        Appends value to arg_key if it's a list or sets it as a new list.
    +259
    +260        Args:
    +261            arg_key (str): name of the list expression arg
    +262            value (Any): value to append to the list
    +263        """
    +264        if not isinstance(self.args.get(arg_key), list):
    +265            self.args[arg_key] = []
    +266        self.args[arg_key].append(value)
    +267        self._set_parent(arg_key, value)
     
    @@ -8593,16 +8669,16 @@ for args that are strings or leaf Expression instances, such as identifiers and
    -
    267    def set(self, arg_key, value):
    -268        """
    -269        Sets `arg_key` to `value`.
    -270
    -271        Args:
    -272            arg_key (str): name of the expression arg.
    -273            value: value to set the arg to.
    -274        """
    -275        self.args[arg_key] = value
    -276        self._set_parent(arg_key, value)
    +            
    269    def set(self, arg_key, value):
    +270        """
    +271        Sets `arg_key` to `value`.
    +272
    +273        Args:
    +274            arg_key (str): name of the expression arg.
    +275            value: value to set the arg to.
    +276        """
    +277        self.args[arg_key] = value
    +278        self._set_parent(arg_key, value)
     
    @@ -8636,24 +8712,24 @@ for args that are strings or leaf Expression instances, such as identifiers and
    def - find(self, *expression_types, bfs=True): + find(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:
    -
    297    def find(self, *expression_types, bfs=True):
    -298        """
    -299        Returns the first node in this tree which matches at least one of
    -300        the specified types.
    -301
    -302        Args:
    -303            expression_types (type): the expression type(s) to match.
    -304
    -305        Returns:
    -306            The node which matches the criteria or None if no such node was found.
    -307        """
    -308        return next(self.find_all(*expression_types, bfs=bfs), None)
    +            
    299    def find(self, *expression_types: t.Type[E], bfs=True) -> E | None:
    +300        """
    +301        Returns the first node in this tree which matches at least one of
    +302        the specified types.
    +303
    +304        Args:
    +305            expression_types (type): the expression type(s) to match.
    +306
    +307        Returns:
    +308            The node which matches the criteria or None if no such node was found.
    +309        """
    +310        return next(self.find_all(*expression_types, bfs=bfs), None)
     
    @@ -8680,26 +8756,26 @@ the specified types.

    def - find_all(self, *expression_types, bfs=True): + find_all(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:
    -
    310    def find_all(self, *expression_types, bfs=True):
    -311        """
    -312        Returns a generator object which visits all nodes in this tree and only
    -313        yields those that match at least one of the specified expression types.
    -314
    -315        Args:
    -316            expression_types (type): the expression type(s) to match.
    -317
    -318        Returns:
    -319            The generator object.
    -320        """
    -321        for expression, _, _ in self.walk(bfs=bfs):
    -322            if isinstance(expression, expression_types):
    -323                yield expression
    +            
    312    def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]:
    +313        """
    +314        Returns a generator object which visits all nodes in this tree and only
    +315        yields those that match at least one of the specified expression types.
    +316
    +317        Args:
    +318            expression_types (type): the expression type(s) to match.
    +319
    +320        Returns:
    +321            The generator object.
    +322        """
    +323        for expression, _, _ in self.walk(bfs=bfs):
    +324            if isinstance(expression, expression_types):
    +325                yield expression
     
    @@ -8726,26 +8802,27 @@ yields those that match at least one of the specified expression types.

    def - find_ancestor(self, *expression_types): + find_ancestor(self, *expression_types: Type[~E]) -> Optional[~E]:
    -
    325    def find_ancestor(self, *expression_types):
    -326        """
    -327        Returns a nearest parent matching expression_types.
    -328
    -329        Args:
    -330            expression_types (type): the expression type(s) to match.
    -331
    -332        Returns:
    -333            The parent node.
    -334        """
    -335        ancestor = self.parent
    -336        while ancestor and not isinstance(ancestor, expression_types):
    -337            ancestor = ancestor.parent
    -338        return ancestor
    +            
    327    def find_ancestor(self, *expression_types: t.Type[E]) -> E | None:
    +328        """
    +329        Returns a nearest parent matching expression_types.
    +330
    +331        Args:
    +332            expression_types (type): the expression type(s) to match.
    +333
    +334        Returns:
    +335            The parent node.
    +336        """
    +337        ancestor = self.parent
    +338        while ancestor and not isinstance(ancestor, expression_types):
    +339            ancestor = ancestor.parent
    +340        # ignore type because mypy doesn't know that we're checking type in the loop
    +341        return ancestor  # type: ignore[return-value]
     
    @@ -8778,6 +8855,33 @@ yields those that match at least one of the specified expression types.

    +
    +
    + +
    + + def + root(self) -> sqlglot.expressions.Expression: + + + +
    + +
    350    def root(self) -> Expression:
    +351        """
    +352        Returns the root expression of this tree.
    +353        """
    +354        expression = self
    +355        while expression.parent:
    +356            expression = expression.parent
    +357        return expression
    +
    + + +

    Returns the root expression of this tree.

    +
    + +
    @@ -8790,23 +8894,23 @@ yields those that match at least one of the specified expression types.

    -
    347    def walk(self, bfs=True, prune=None):
    -348        """
    -349        Returns a generator object which visits all nodes in this tree.
    -350
    -351        Args:
    -352            bfs (bool): if set to True the BFS traversal order will be applied,
    -353                otherwise the DFS traversal will be used instead.
    -354            prune ((node, parent, arg_key) -> bool): callable that returns True if
    -355                the generator should stop traversing this branch of the tree.
    -356
    -357        Returns:
    -358            the generator object.
    -359        """
    -360        if bfs:
    -361            yield from self.bfs(prune=prune)
    -362        else:
    -363            yield from self.dfs(prune=prune)
    +            
    359    def walk(self, bfs=True, prune=None):
    +360        """
    +361        Returns a generator object which visits all nodes in this tree.
    +362
    +363        Args:
    +364            bfs (bool): if set to True the BFS traversal order will be applied,
    +365                otherwise the DFS traversal will be used instead.
    +366            prune ((node, parent, arg_key) -> bool): callable that returns True if
    +367                the generator should stop traversing this branch of the tree.
    +368
    +369        Returns:
    +370            the generator object.
    +371        """
    +372        if bfs:
    +373            yield from self.bfs(prune=prune)
    +374        else:
    +375            yield from self.dfs(prune=prune)
     
    @@ -8841,23 +8945,23 @@ the generator should stop traversing this branch of the tree.
    -
    365    def dfs(self, parent=None, key=None, prune=None):
    -366        """
    -367        Returns a generator object which visits all nodes in this tree in
    -368        the DFS (Depth-first) order.
    -369
    -370        Returns:
    -371            The generator object.
    -372        """
    -373        parent = parent or self.parent
    -374        yield self, parent, key
    -375        if prune and prune(self, parent, key):
    -376            return
    -377
    -378        for k, v in self.args.items():
    -379            for node in ensure_collection(v):
    -380                if isinstance(node, Expression):
    -381                    yield from node.dfs(self, k, prune)
    +            
    377    def dfs(self, parent=None, key=None, prune=None):
    +378        """
    +379        Returns a generator object which visits all nodes in this tree in
    +380        the DFS (Depth-first) order.
    +381
    +382        Returns:
    +383            The generator object.
    +384        """
    +385        parent = parent or self.parent
    +386        yield self, parent, key
    +387        if prune and prune(self, parent, key):
    +388            return
    +389
    +390        for k, v in self.args.items():
    +391            for node in ensure_collection(v):
    +392                if isinstance(node, Expression):
    +393                    yield from node.dfs(self, k, prune)
     
    @@ -8884,28 +8988,28 @@ the DFS (Depth-first) order.

    -
    383    def bfs(self, prune=None):
    -384        """
    -385        Returns a generator object which visits all nodes in this tree in
    -386        the BFS (Breadth-first) order.
    -387
    -388        Returns:
    -389            The generator object.
    -390        """
    -391        queue = deque([(self, self.parent, None)])
    -392
    -393        while queue:
    -394            item, parent, key = queue.popleft()
    -395
    -396            yield item, parent, key
    -397            if prune and prune(item, parent, key):
    -398                continue
    +            
    395    def bfs(self, prune=None):
    +396        """
    +397        Returns a generator object which visits all nodes in this tree in
    +398        the BFS (Breadth-first) order.
     399
    -400            if isinstance(item, Expression):
    -401                for k, v in item.args.items():
    -402                    for node in ensure_collection(v):
    -403                        if isinstance(node, Expression):
    -404                            queue.append((node, item, k))
    +400        Returns:
    +401            The generator object.
    +402        """
    +403        queue = deque([(self, self.parent, None)])
    +404
    +405        while queue:
    +406            item, parent, key = queue.popleft()
    +407
    +408            yield item, parent, key
    +409            if prune and prune(item, parent, key):
    +410                continue
    +411
    +412            if isinstance(item, Expression):
    +413                for k, v in item.args.items():
    +414                    for node in ensure_collection(v):
    +415                        if isinstance(node, Expression):
    +416                            queue.append((node, item, k))
     
    @@ -8932,14 +9036,14 @@ the BFS (Breadth-first) order.

    -
    406    def unnest(self):
    -407        """
    -408        Returns the first non parenthesis child or self.
    -409        """
    -410        expression = self
    -411        while isinstance(expression, Paren):
    -412            expression = expression.this
    -413        return expression
    +            
    418    def unnest(self):
    +419        """
    +420        Returns the first non parenthesis child or self.
    +421        """
    +422        expression = self
    +423        while isinstance(expression, Paren):
    +424            expression = expression.this
    +425        return expression
     
    @@ -8959,13 +9063,13 @@ the BFS (Breadth-first) order.

    -
    415    def unalias(self):
    -416        """
    -417        Returns the inner expression if this is an Alias.
    -418        """
    -419        if isinstance(self, Alias):
    -420            return self.this
    -421        return self
    +            
    427    def unalias(self):
    +428        """
    +429        Returns the inner expression if this is an Alias.
    +430        """
    +431        if isinstance(self, Alias):
    +432            return self.this
    +433        return self
     
    @@ -8985,11 +9089,11 @@ the BFS (Breadth-first) order.

    -
    423    def unnest_operands(self):
    -424        """
    -425        Returns unnested operands as a tuple.
    -426        """
    -427        return tuple(arg.unnest() for arg in self.args.values() if arg)
    +            
    435    def unnest_operands(self):
    +436        """
    +437        Returns unnested operands as a tuple.
    +438        """
    +439        return tuple(arg.unnest() for arg in self.args.values() if arg)
     
    @@ -9009,15 +9113,15 @@ the BFS (Breadth-first) order.

    -
    429    def flatten(self, unnest=True):
    -430        """
    -431        Returns a generator which yields child nodes who's parents are the same class.
    -432
    -433        A AND B AND C -> [A, B, C]
    -434        """
    -435        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)):
    -436            if not isinstance(node, self.__class__):
    -437                yield node.unnest() if unnest else node
    +            
    441    def flatten(self, unnest=True):
    +442        """
    +443        Returns a generator which yields child nodes who's parents are the same class.
    +444
    +445        A AND B AND C -> [A, B, C]
    +446        """
    +447        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not isinstance(n, self.__class__)):
    +448            if not isinstance(node, self.__class__):
    +449                yield node.unnest() if unnest else node
     
    @@ -9039,20 +9143,20 @@ the BFS (Breadth-first) order.

    -
    445    def sql(self, dialect: DialectType = None, **opts) -> str:
    -446        """
    -447        Returns SQL string representation of this tree.
    -448
    -449        Args:
    -450            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
    -451            opts: other `sqlglot.generator.Generator` options.
    -452
    -453        Returns:
    -454            The SQL string.
    -455        """
    -456        from sqlglot.dialects import Dialect
    -457
    -458        return Dialect.get_or_raise(dialect)().generate(self, **opts)
    +            
    457    def sql(self, dialect: DialectType = None, **opts) -> str:
    +458        """
    +459        Returns SQL string representation of this tree.
    +460
    +461        Args:
    +462            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
    +463            opts: other `sqlglot.generator.Generator` options.
    +464
    +465        Returns:
    +466            The SQL string.
    +467        """
    +468        from sqlglot.dialects import Dialect
    +469
    +470        return Dialect.get_or_raise(dialect)().generate(self, **opts)
     
    @@ -9085,32 +9189,32 @@ the BFS (Breadth-first) order.

    -
    484    def transform(self, fun, *args, copy=True, **kwargs):
    -485        """
    -486        Recursively visits all tree nodes (excluding already transformed ones)
    -487        and applies the given transformation function to each node.
    -488
    -489        Args:
    -490            fun (function): a function which takes a node as an argument and returns a
    -491                new transformed node or the same node without modifications. If the function
    -492                returns None, then the corresponding node will be removed from the syntax tree.
    -493            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
    -494                modified in place.
    -495
    -496        Returns:
    -497            The transformed tree.
    -498        """
    -499        node = self.copy() if copy else self
    -500        new_node = fun(node, *args, **kwargs)
    -501
    -502        if new_node is None or not isinstance(new_node, Expression):
    -503            return new_node
    -504        if new_node is not node:
    -505            new_node.parent = node.parent
    -506            return new_node
    +            
    496    def transform(self, fun, *args, copy=True, **kwargs):
    +497        """
    +498        Recursively visits all tree nodes (excluding already transformed ones)
    +499        and applies the given transformation function to each node.
    +500
    +501        Args:
    +502            fun (function): a function which takes a node as an argument and returns a
    +503                new transformed node or the same node without modifications. If the function
    +504                returns None, then the corresponding node will be removed from the syntax tree.
    +505            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
    +506                modified in place.
     507
    -508        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
    -509        return new_node
    +508        Returns:
    +509            The transformed tree.
    +510        """
    +511        node = self.copy() if copy else self
    +512        new_node = fun(node, *args, **kwargs)
    +513
    +514        if new_node is None or not isinstance(new_node, Expression):
    +515            return new_node
    +516        if new_node is not node:
    +517            new_node.parent = node.parent
    +518            return new_node
    +519
    +520        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
    +521        return new_node
     
    @@ -9147,32 +9251,32 @@ modified in place.
    -
    511    def replace(self, expression):
    -512        """
    -513        Swap out this expression with a new expression.
    -514
    -515        For example::
    -516
    -517            >>> tree = Select().select("x").from_("tbl")
    -518            >>> tree.find(Column).replace(Column(this="y"))
    -519            (COLUMN this: y)
    -520            >>> tree.sql()
    -521            'SELECT y FROM tbl'
    -522
    -523        Args:
    -524            expression (Expression|None): new node
    -525
    -526        Returns:
    -527            The new expression or expressions.
    -528        """
    -529        if not self.parent:
    -530            return expression
    -531
    -532        parent = self.parent
    -533        self.parent = None
    +            
    523    def replace(self, expression):
    +524        """
    +525        Swap out this expression with a new expression.
    +526
    +527        For example::
    +528
    +529            >>> tree = Select().select("x").from_("tbl")
    +530            >>> tree.find(Column).replace(Column(this="y"))
    +531            (COLUMN this: y)
    +532            >>> tree.sql()
    +533            'SELECT y FROM tbl'
     534
    -535        replace_children(parent, lambda child: expression if child is self else child)
    -536        return expression
    +535        Args:
    +536            expression (Expression|None): new node
    +537
    +538        Returns:
    +539            The new expression or expressions.
    +540        """
    +541        if not self.parent:
    +542            return expression
    +543
    +544        parent = self.parent
    +545        self.parent = None
    +546
    +547        replace_children(parent, lambda child: expression if child is self else child)
    +548        return expression
     
    @@ -9213,11 +9317,11 @@ modified in place.
    -
    538    def pop(self):
    -539        """
    -540        Remove this expression from its AST.
    -541        """
    -542        self.replace(None)
    +            
    550    def pop(self):
    +551        """
    +552        Remove this expression from its AST.
    +553        """
    +554        self.replace(None)
     
    @@ -9237,22 +9341,22 @@ modified in place.
    -
    544    def assert_is(self, type_):
    -545        """
    -546        Assert that this `Expression` is an instance of `type_`.
    -547
    -548        If it is NOT an instance of `type_`, this raises an assertion error.
    -549        Otherwise, this returns this expression.
    -550
    -551        Examples:
    -552            This is useful for type security in chained expressions:
    -553
    -554            >>> import sqlglot
    -555            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
    -556            'SELECT x, z FROM y'
    -557        """
    -558        assert isinstance(self, type_)
    -559        return self
    +            
    556    def assert_is(self, type_):
    +557        """
    +558        Assert that this `Expression` is an instance of `type_`.
    +559
    +560        If it is NOT an instance of `type_`, this raises an assertion error.
    +561        Otherwise, this returns this expression.
    +562
    +563        Examples:
    +564            This is useful for type security in chained expressions:
    +565
    +566            >>> import sqlglot
    +567            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
    +568            'SELECT x, z FROM y'
    +569        """
    +570        assert isinstance(self, type_)
    +571        return self
     
    @@ -9288,39 +9392,39 @@ Otherwise, this returns this expression.

    -
    561    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
    -562        """
    -563        Checks if this expression is valid (e.g. all mandatory args are set).
    -564
    -565        Args:
    -566            args: a sequence of values that were used to instantiate a Func expression. This is used
    -567                to check that the provided arguments don't exceed the function argument limit.
    -568
    -569        Returns:
    -570            A list of error messages for all possible errors that were found.
    -571        """
    -572        errors: t.List[str] = []
    -573
    -574        for k in self.args:
    -575            if k not in self.arg_types:
    -576                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
    -577        for k, mandatory in self.arg_types.items():
    -578            v = self.args.get(k)
    -579            if mandatory and (v is None or (isinstance(v, list) and not v)):
    -580                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
    -581
    -582        if (
    -583            args
    -584            and isinstance(self, Func)
    -585            and len(args) > len(self.arg_types)
    -586            and not self.is_var_len_args
    -587        ):
    -588            errors.append(
    -589                f"The number of provided arguments ({len(args)}) is greater than "
    -590                f"the maximum number of supported arguments ({len(self.arg_types)})"
    -591            )
    -592
    -593        return errors
    +            
    573    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
    +574        """
    +575        Checks if this expression is valid (e.g. all mandatory args are set).
    +576
    +577        Args:
    +578            args: a sequence of values that were used to instantiate a Func expression. This is used
    +579                to check that the provided arguments don't exceed the function argument limit.
    +580
    +581        Returns:
    +582            A list of error messages for all possible errors that were found.
    +583        """
    +584        errors: t.List[str] = []
    +585
    +586        for k in self.args:
    +587            if k not in self.arg_types:
    +588                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
    +589        for k, mandatory in self.arg_types.items():
    +590            v = self.args.get(k)
    +591            if mandatory and (v is None or (isinstance(v, list) and not v)):
    +592                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
    +593
    +594        if (
    +595            args
    +596            and isinstance(self, Func)
    +597            and len(args) > len(self.arg_types)
    +598            and not self.is_var_len_args
    +599        ):
    +600            errors.append(
    +601                f"The number of provided arguments ({len(args)}) is greater than "
    +602                f"the maximum number of supported arguments ({len(self.arg_types)})"
    +603            )
    +604
    +605        return errors
     
    @@ -9353,13 +9457,13 @@ to check that the provided arguments don't exceed the function argument limit. -
    595    def dump(self):
    -596        """
    -597        Dump this Expression to a JSON-serializable dict.
    -598        """
    -599        from sqlglot.serde import dump
    -600
    -601        return dump(self)
    +            
    607    def dump(self):
    +608        """
    +609        Dump this Expression to a JSON-serializable dict.
    +610        """
    +611        from sqlglot.serde import dump
    +612
    +613        return dump(self)
     
    @@ -9380,14 +9484,14 @@ to check that the provided arguments don't exceed the function argument limit. -
    603    @classmethod
    -604    def load(cls, obj):
    -605        """
    -606        Load a dict (as returned by `Expression.dump`) into an Expression instance.
    -607        """
    -608        from sqlglot.serde import load
    -609
    -610        return load(obj)
    +            
    615    @classmethod
    +616    def load(cls, obj):
    +617        """
    +618        Load a dict (as returned by `Expression.dump`) into an Expression instance.
    +619        """
    +620        from sqlglot.serde import load
    +621
    +622        return load(obj)
     
    @@ -9408,57 +9512,57 @@ to check that the provided arguments don't exceed the function argument limit. -
    620class Condition(Expression):
    -621    def and_(self, *expressions, dialect=None, **opts):
    -622        """
    -623        AND this condition with one or multiple expressions.
    -624
    -625        Example:
    -626            >>> condition("x=1").and_("y=1").sql()
    -627            'x = 1 AND y = 1'
    -628
    -629        Args:
    -630            *expressions (str | Expression): the SQL code strings to parse.
    -631                If an `Expression` instance is passed, it will be used as-is.
    -632            dialect (str): the dialect used to parse the input expression.
    -633            opts (kwargs): other options to use to parse the input expressions.
    -634
    -635        Returns:
    -636            And: the new condition.
    -637        """
    -638        return and_(self, *expressions, dialect=dialect, **opts)
    -639
    -640    def or_(self, *expressions, dialect=None, **opts):
    -641        """
    -642        OR this condition with one or multiple expressions.
    -643
    -644        Example:
    -645            >>> condition("x=1").or_("y=1").sql()
    -646            'x = 1 OR y = 1'
    -647
    -648        Args:
    -649            *expressions (str | Expression): the SQL code strings to parse.
    -650                If an `Expression` instance is passed, it will be used as-is.
    -651            dialect (str): the dialect used to parse the input expression.
    -652            opts (kwargs): other options to use to parse the input expressions.
    -653
    -654        Returns:
    -655            Or: the new condition.
    -656        """
    -657        return or_(self, *expressions, dialect=dialect, **opts)
    -658
    -659    def not_(self):
    -660        """
    -661        Wrap this condition with NOT.
    -662
    -663        Example:
    -664            >>> condition("x=1").not_().sql()
    -665            'NOT x = 1'
    -666
    -667        Returns:
    -668            Not: the new condition.
    -669        """
    -670        return not_(self)
    +            
    632class Condition(Expression):
    +633    def and_(self, *expressions, dialect=None, **opts):
    +634        """
    +635        AND this condition with one or multiple expressions.
    +636
    +637        Example:
    +638            >>> condition("x=1").and_("y=1").sql()
    +639            'x = 1 AND y = 1'
    +640
    +641        Args:
    +642            *expressions (str | Expression): the SQL code strings to parse.
    +643                If an `Expression` instance is passed, it will be used as-is.
    +644            dialect (str): the dialect used to parse the input expression.
    +645            opts (kwargs): other options to use to parse the input expressions.
    +646
    +647        Returns:
    +648            And: the new condition.
    +649        """
    +650        return and_(self, *expressions, dialect=dialect, **opts)
    +651
    +652    def or_(self, *expressions, dialect=None, **opts):
    +653        """
    +654        OR this condition with one or multiple expressions.
    +655
    +656        Example:
    +657            >>> condition("x=1").or_("y=1").sql()
    +658            'x = 1 OR y = 1'
    +659
    +660        Args:
    +661            *expressions (str | Expression): the SQL code strings to parse.
    +662                If an `Expression` instance is passed, it will be used as-is.
    +663            dialect (str): the dialect used to parse the input expression.
    +664            opts (kwargs): other options to use to parse the input expressions.
    +665
    +666        Returns:
    +667            Or: the new condition.
    +668        """
    +669        return or_(self, *expressions, dialect=dialect, **opts)
    +670
    +671    def not_(self):
    +672        """
    +673        Wrap this condition with NOT.
    +674
    +675        Example:
    +676            >>> condition("x=1").not_().sql()
    +677            'NOT x = 1'
    +678
    +679        Returns:
    +680            Not: the new condition.
    +681        """
    +682        return not_(self)
     
    @@ -9475,24 +9579,24 @@ to check that the provided arguments don't exceed the function argument limit. -
    621    def and_(self, *expressions, dialect=None, **opts):
    -622        """
    -623        AND this condition with one or multiple expressions.
    -624
    -625        Example:
    -626            >>> condition("x=1").and_("y=1").sql()
    -627            'x = 1 AND y = 1'
    -628
    -629        Args:
    -630            *expressions (str | Expression): the SQL code strings to parse.
    -631                If an `Expression` instance is passed, it will be used as-is.
    -632            dialect (str): the dialect used to parse the input expression.
    -633            opts (kwargs): other options to use to parse the input expressions.
    -634
    -635        Returns:
    -636            And: the new condition.
    -637        """
    -638        return and_(self, *expressions, dialect=dialect, **opts)
    +            
    633    def and_(self, *expressions, dialect=None, **opts):
    +634        """
    +635        AND this condition with one or multiple expressions.
    +636
    +637        Example:
    +638            >>> condition("x=1").and_("y=1").sql()
    +639            'x = 1 AND y = 1'
    +640
    +641        Args:
    +642            *expressions (str | Expression): the SQL code strings to parse.
    +643                If an `Expression` instance is passed, it will be used as-is.
    +644            dialect (str): the dialect used to parse the input expression.
    +645            opts (kwargs): other options to use to parse the input expressions.
    +646
    +647        Returns:
    +648            And: the new condition.
    +649        """
    +650        return and_(self, *expressions, dialect=dialect, **opts)
     
    @@ -9537,24 +9641,24 @@ If an Expression instance is passed, it w
    -
    640    def or_(self, *expressions, dialect=None, **opts):
    -641        """
    -642        OR this condition with one or multiple expressions.
    -643
    -644        Example:
    -645            >>> condition("x=1").or_("y=1").sql()
    -646            'x = 1 OR y = 1'
    -647
    -648        Args:
    -649            *expressions (str | Expression): the SQL code strings to parse.
    -650                If an `Expression` instance is passed, it will be used as-is.
    -651            dialect (str): the dialect used to parse the input expression.
    -652            opts (kwargs): other options to use to parse the input expressions.
    -653
    -654        Returns:
    -655            Or: the new condition.
    -656        """
    -657        return or_(self, *expressions, dialect=dialect, **opts)
    +            
    652    def or_(self, *expressions, dialect=None, **opts):
    +653        """
    +654        OR this condition with one or multiple expressions.
    +655
    +656        Example:
    +657            >>> condition("x=1").or_("y=1").sql()
    +658            'x = 1 OR y = 1'
    +659
    +660        Args:
    +661            *expressions (str | Expression): the SQL code strings to parse.
    +662                If an `Expression` instance is passed, it will be used as-is.
    +663            dialect (str): the dialect used to parse the input expression.
    +664            opts (kwargs): other options to use to parse the input expressions.
    +665
    +666        Returns:
    +667            Or: the new condition.
    +668        """
    +669        return or_(self, *expressions, dialect=dialect, **opts)
     
    @@ -9599,18 +9703,18 @@ If an Expression instance is passed, it w
    -
    659    def not_(self):
    -660        """
    -661        Wrap this condition with NOT.
    -662
    -663        Example:
    -664            >>> condition("x=1").not_().sql()
    -665            'NOT x = 1'
    -666
    -667        Returns:
    -668            Not: the new condition.
    -669        """
    -670        return not_(self)
    +            
    671    def not_(self):
    +672        """
    +673        Wrap this condition with NOT.
    +674
    +675        Example:
    +676            >>> condition("x=1").not_().sql()
    +677            'NOT x = 1'
    +678
    +679        Returns:
    +680            Not: the new condition.
    +681        """
    +682        return not_(self)
     
    @@ -9658,6 +9762,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -9689,8 +9794,8 @@ If an Expression instance is passed, it w
    -
    673class Predicate(Condition):
    -674    """Relationships like x = y, x > 1, x >= y."""
    +            
    685class Predicate(Condition):
    +686    """Relationships like x = y, x > 1, x >= y."""
     
    @@ -9721,6 +9826,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -9758,26 +9864,26 @@ If an Expression instance is passed, it w
    -
    677class DerivedTable(Expression):
    -678    @property
    -679    def alias_column_names(self):
    -680        table_alias = self.args.get("alias")
    -681        if not table_alias:
    -682            return []
    -683        column_list = table_alias.assert_is(TableAlias).args.get("columns") or []
    -684        return [c.name for c in column_list]
    -685
    -686    @property
    -687    def selects(self):
    -688        alias = self.args.get("alias")
    -689
    -690        if alias:
    -691            return alias.columns
    -692        return []
    -693
    -694    @property
    -695    def named_selects(self):
    -696        return [select.output_name for select in self.selects]
    +            
    689class DerivedTable(Expression):
    +690    @property
    +691    def alias_column_names(self):
    +692        table_alias = self.args.get("alias")
    +693        if not table_alias:
    +694            return []
    +695        column_list = table_alias.assert_is(TableAlias).args.get("columns") or []
    +696        return [c.name for c in column_list]
    +697
    +698    @property
    +699    def selects(self):
    +700        alias = self.args.get("alias")
    +701
    +702        if alias:
    +703            return alias.columns
    +704        return []
    +705
    +706    @property
    +707    def named_selects(self):
    +708        return [select.output_name for select in self.selects]
     
    @@ -9806,6 +9912,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -9837,66 +9944,66 @@ If an Expression instance is passed, it w
    -
    699class Unionable(Expression):
    -700    def union(self, expression, distinct=True, dialect=None, **opts):
    -701        """
    -702        Builds a UNION expression.
    -703
    -704        Example:
    -705            >>> import sqlglot
    -706            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
    -707            'SELECT * FROM foo UNION SELECT * FROM bla'
    -708
    -709        Args:
    -710            expression (str | Expression): the SQL code string.
    -711                If an `Expression` instance is passed, it will be used as-is.
    -712            distinct (bool): set the DISTINCT flag if and only if this is true.
    -713            dialect (str): the dialect used to parse the input expression.
    -714            opts (kwargs): other options to use to parse the input expressions.
    -715        Returns:
    -716            Union: the Union expression.
    -717        """
    -718        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    -719
    -720    def intersect(self, expression, distinct=True, dialect=None, **opts):
    -721        """
    -722        Builds an INTERSECT expression.
    -723
    -724        Example:
    -725            >>> import sqlglot
    -726            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
    -727            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    -728
    -729        Args:
    -730            expression (str | Expression): the SQL code string.
    -731                If an `Expression` instance is passed, it will be used as-is.
    -732            distinct (bool): set the DISTINCT flag if and only if this is true.
    -733            dialect (str): the dialect used to parse the input expression.
    -734            opts (kwargs): other options to use to parse the input expressions.
    -735        Returns:
    -736            Intersect: the Intersect expression
    -737        """
    -738        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    -739
    -740    def except_(self, expression, distinct=True, dialect=None, **opts):
    -741        """
    -742        Builds an EXCEPT expression.
    -743
    -744        Example:
    -745            >>> import sqlglot
    -746            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
    -747            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    -748
    -749        Args:
    -750            expression (str | Expression): the SQL code string.
    -751                If an `Expression` instance is passed, it will be used as-is.
    -752            distinct (bool): set the DISTINCT flag if and only if this is true.
    -753            dialect (str): the dialect used to parse the input expression.
    -754            opts (kwargs): other options to use to parse the input expressions.
    -755        Returns:
    -756            Except: the Except expression
    -757        """
    -758        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +            
    711class Unionable(Expression):
    +712    def union(self, expression, distinct=True, dialect=None, **opts):
    +713        """
    +714        Builds a UNION expression.
    +715
    +716        Example:
    +717            >>> import sqlglot
    +718            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
    +719            'SELECT * FROM foo UNION SELECT * FROM bla'
    +720
    +721        Args:
    +722            expression (str | Expression): the SQL code string.
    +723                If an `Expression` instance is passed, it will be used as-is.
    +724            distinct (bool): set the DISTINCT flag if and only if this is true.
    +725            dialect (str): the dialect used to parse the input expression.
    +726            opts (kwargs): other options to use to parse the input expressions.
    +727        Returns:
    +728            Union: the Union expression.
    +729        """
    +730        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +731
    +732    def intersect(self, expression, distinct=True, dialect=None, **opts):
    +733        """
    +734        Builds an INTERSECT expression.
    +735
    +736        Example:
    +737            >>> import sqlglot
    +738            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
    +739            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    +740
    +741        Args:
    +742            expression (str | Expression): the SQL code string.
    +743                If an `Expression` instance is passed, it will be used as-is.
    +744            distinct (bool): set the DISTINCT flag if and only if this is true.
    +745            dialect (str): the dialect used to parse the input expression.
    +746            opts (kwargs): other options to use to parse the input expressions.
    +747        Returns:
    +748            Intersect: the Intersect expression
    +749        """
    +750        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +751
    +752    def except_(self, expression, distinct=True, dialect=None, **opts):
    +753        """
    +754        Builds an EXCEPT expression.
    +755
    +756        Example:
    +757            >>> import sqlglot
    +758            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
    +759            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    +760
    +761        Args:
    +762            expression (str | Expression): the SQL code string.
    +763                If an `Expression` instance is passed, it will be used as-is.
    +764            distinct (bool): set the DISTINCT flag if and only if this is true.
    +765            dialect (str): the dialect used to parse the input expression.
    +766            opts (kwargs): other options to use to parse the input expressions.
    +767        Returns:
    +768            Except: the Except expression
    +769        """
    +770        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
     
    @@ -9913,25 +10020,25 @@ If an Expression instance is passed, it w
    -
    700    def union(self, expression, distinct=True, dialect=None, **opts):
    -701        """
    -702        Builds a UNION expression.
    -703
    -704        Example:
    -705            >>> import sqlglot
    -706            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
    -707            'SELECT * FROM foo UNION SELECT * FROM bla'
    -708
    -709        Args:
    -710            expression (str | Expression): the SQL code string.
    -711                If an `Expression` instance is passed, it will be used as-is.
    -712            distinct (bool): set the DISTINCT flag if and only if this is true.
    -713            dialect (str): the dialect used to parse the input expression.
    -714            opts (kwargs): other options to use to parse the input expressions.
    -715        Returns:
    -716            Union: the Union expression.
    -717        """
    -718        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +            
    712    def union(self, expression, distinct=True, dialect=None, **opts):
    +713        """
    +714        Builds a UNION expression.
    +715
    +716        Example:
    +717            >>> import sqlglot
    +718            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
    +719            'SELECT * FROM foo UNION SELECT * FROM bla'
    +720
    +721        Args:
    +722            expression (str | Expression): the SQL code string.
    +723                If an `Expression` instance is passed, it will be used as-is.
    +724            distinct (bool): set the DISTINCT flag if and only if this is true.
    +725            dialect (str): the dialect used to parse the input expression.
    +726            opts (kwargs): other options to use to parse the input expressions.
    +727        Returns:
    +728            Union: the Union expression.
    +729        """
    +730        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
     
    @@ -9978,25 +10085,25 @@ If an Expression instance is passed, it w
    -
    720    def intersect(self, expression, distinct=True, dialect=None, **opts):
    -721        """
    -722        Builds an INTERSECT expression.
    -723
    -724        Example:
    -725            >>> import sqlglot
    -726            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
    -727            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    -728
    -729        Args:
    -730            expression (str | Expression): the SQL code string.
    -731                If an `Expression` instance is passed, it will be used as-is.
    -732            distinct (bool): set the DISTINCT flag if and only if this is true.
    -733            dialect (str): the dialect used to parse the input expression.
    -734            opts (kwargs): other options to use to parse the input expressions.
    -735        Returns:
    -736            Intersect: the Intersect expression
    -737        """
    -738        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +            
    732    def intersect(self, expression, distinct=True, dialect=None, **opts):
    +733        """
    +734        Builds an INTERSECT expression.
    +735
    +736        Example:
    +737            >>> import sqlglot
    +738            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
    +739            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    +740
    +741        Args:
    +742            expression (str | Expression): the SQL code string.
    +743                If an `Expression` instance is passed, it will be used as-is.
    +744            distinct (bool): set the DISTINCT flag if and only if this is true.
    +745            dialect (str): the dialect used to parse the input expression.
    +746            opts (kwargs): other options to use to parse the input expressions.
    +747        Returns:
    +748            Intersect: the Intersect expression
    +749        """
    +750        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
     
    @@ -10043,25 +10150,25 @@ If an Expression instance is passed, it w
    -
    740    def except_(self, expression, distinct=True, dialect=None, **opts):
    -741        """
    -742        Builds an EXCEPT expression.
    -743
    -744        Example:
    -745            >>> import sqlglot
    -746            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
    -747            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    -748
    -749        Args:
    -750            expression (str | Expression): the SQL code string.
    -751                If an `Expression` instance is passed, it will be used as-is.
    -752            distinct (bool): set the DISTINCT flag if and only if this is true.
    -753            dialect (str): the dialect used to parse the input expression.
    -754            opts (kwargs): other options to use to parse the input expressions.
    -755        Returns:
    -756            Except: the Except expression
    -757        """
    -758        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
    +            
    752    def except_(self, expression, distinct=True, dialect=None, **opts):
    +753        """
    +754        Builds an EXCEPT expression.
    +755
    +756        Example:
    +757            >>> import sqlglot
    +758            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
    +759            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    +760
    +761        Args:
    +762            expression (str | Expression): the SQL code string.
    +763                If an `Expression` instance is passed, it will be used as-is.
    +764            distinct (bool): set the DISTINCT flag if and only if this is true.
    +765            dialect (str): the dialect used to parse the input expression.
    +766            opts (kwargs): other options to use to parse the input expressions.
    +767        Returns:
    +768            Except: the Except expression
    +769        """
    +770        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
     
    @@ -10120,6 +10227,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10151,8 +10259,8 @@ If an Expression instance is passed, it w
    -
    761class UDTF(DerivedTable, Unionable):
    -762    pass
    +            
    773class UDTF(DerivedTable, Unionable):
    +774    pass
     
    @@ -10181,6 +10289,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10218,14 +10327,14 @@ If an Expression instance is passed, it w
    -
    765class Cache(Expression):
    -766    arg_types = {
    -767        "with": False,
    -768        "this": True,
    -769        "lazy": False,
    -770        "options": False,
    -771        "expression": False,
    -772    }
    +            
    777class Cache(Expression):
    +778    arg_types = {
    +779        "with": False,
    +780        "this": True,
    +781        "lazy": False,
    +782        "options": False,
    +783        "expression": False,
    +784    }
     
    @@ -10254,6 +10363,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10285,8 +10395,8 @@ If an Expression instance is passed, it w
    -
    775class Uncache(Expression):
    -776    arg_types = {"this": True, "exists": False}
    +            
    787class Uncache(Expression):
    +788    arg_types = {"this": True, "exists": False}
     
    @@ -10315,6 +10425,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10346,20 +10457,21 @@ If an Expression instance is passed, it w
    -
    779class Create(Expression):
    -780    arg_types = {
    -781        "with": False,
    -782        "this": True,
    -783        "kind": True,
    -784        "expression": False,
    -785        "exists": False,
    -786        "properties": False,
    -787        "replace": False,
    -788        "unique": False,
    -789        "indexes": False,
    -790        "no_schema_binding": False,
    -791        "begin": False,
    -792    }
    +            
    791class Create(Expression):
    +792    arg_types = {
    +793        "with": False,
    +794        "this": True,
    +795        "kind": True,
    +796        "expression": False,
    +797        "exists": False,
    +798        "properties": False,
    +799        "replace": False,
    +800        "unique": False,
    +801        "volatile": False,
    +802        "indexes": False,
    +803        "no_schema_binding": False,
    +804        "begin": False,
    +805    }
     
    @@ -10388,6 +10500,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10419,8 +10532,8 @@ If an Expression instance is passed, it w
    -
    795class Describe(Expression):
    -796    arg_types = {"this": True, "kind": False}
    +            
    808class Describe(Expression):
    +809    arg_types = {"this": True, "kind": False}
     
    @@ -10449,6 +10562,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10480,8 +10594,8 @@ If an Expression instance is passed, it w
    -
    799class Set(Expression):
    -800    arg_types = {"expressions": True}
    +            
    812class Set(Expression):
    +813    arg_types = {"expressions": True}
     
    @@ -10510,6 +10624,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10541,14 +10656,14 @@ If an Expression instance is passed, it w
    -
    803class SetItem(Expression):
    -804    arg_types = {
    -805        "this": False,
    -806        "expressions": False,
    -807        "kind": False,
    -808        "collate": False,  # MySQL SET NAMES statement
    -809        "global": False,
    -810    }
    +            
    816class SetItem(Expression):
    +817    arg_types = {
    +818        "this": False,
    +819        "expressions": False,
    +820        "kind": False,
    +821        "collate": False,  # MySQL SET NAMES statement
    +822        "global": False,
    +823    }
     
    @@ -10577,6 +10692,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10608,24 +10724,24 @@ If an Expression instance is passed, it w
    -
    813class Show(Expression):
    -814    arg_types = {
    -815        "this": True,
    -816        "target": False,
    -817        "offset": False,
    -818        "limit": False,
    -819        "like": False,
    -820        "where": False,
    -821        "db": False,
    -822        "full": False,
    -823        "mutex": False,
    -824        "query": False,
    -825        "channel": False,
    -826        "global": False,
    -827        "log": False,
    -828        "position": False,
    -829        "types": False,
    -830    }
    +            
    826class Show(Expression):
    +827    arg_types = {
    +828        "this": True,
    +829        "target": False,
    +830        "offset": False,
    +831        "limit": False,
    +832        "like": False,
    +833        "where": False,
    +834        "db": False,
    +835        "full": False,
    +836        "mutex": False,
    +837        "query": False,
    +838        "channel": False,
    +839        "global": False,
    +840        "log": False,
    +841        "position": False,
    +842        "types": False,
    +843    }
     
    @@ -10654,6 +10770,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10685,8 +10802,8 @@ If an Expression instance is passed, it w
    -
    833class UserDefinedFunction(Expression):
    -834    arg_types = {"this": True, "expressions": False, "wrapped": False}
    +            
    846class UserDefinedFunction(Expression):
    +847    arg_types = {"this": True, "expressions": False, "wrapped": False}
     
    @@ -10715,6 +10832,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10746,8 +10864,8 @@ If an Expression instance is passed, it w
    -
    837class CharacterSet(Expression):
    -838    arg_types = {"this": True, "default": False}
    +            
    850class CharacterSet(Expression):
    +851    arg_types = {"this": True, "default": False}
     
    @@ -10776,6 +10894,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10807,12 +10926,12 @@ If an Expression instance is passed, it w
    -
    841class With(Expression):
    -842    arg_types = {"expressions": True, "recursive": False}
    -843
    -844    @property
    -845    def recursive(self) -> bool:
    -846        return bool(self.args.get("recursive"))
    +            
    854class With(Expression):
    +855    arg_types = {"expressions": True, "recursive": False}
    +856
    +857    @property
    +858    def recursive(self) -> bool:
    +859        return bool(self.args.get("recursive"))
     
    @@ -10841,6 +10960,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10872,8 +10992,8 @@ If an Expression instance is passed, it w
    -
    849class WithinGroup(Expression):
    -850    arg_types = {"this": True, "expression": False}
    +            
    862class WithinGroup(Expression):
    +863    arg_types = {"this": True, "expression": False}
     
    @@ -10902,6 +11022,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10933,8 +11054,8 @@ If an Expression instance is passed, it w
    -
    853class CTE(DerivedTable):
    -854    arg_types = {"this": True, "alias": True}
    +            
    866class CTE(DerivedTable):
    +867    arg_types = {"this": True, "alias": True}
     
    @@ -10963,6 +11084,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -10994,12 +11116,12 @@ If an Expression instance is passed, it w
    -
    857class TableAlias(Expression):
    -858    arg_types = {"this": False, "columns": False}
    -859
    -860    @property
    -861    def columns(self):
    -862        return self.args.get("columns") or []
    +            
    870class TableAlias(Expression):
    +871    arg_types = {"this": False, "columns": False}
    +872
    +873    @property
    +874    def columns(self):
    +875        return self.args.get("columns") or []
     
    @@ -11028,6 +11150,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11059,8 +11182,8 @@ If an Expression instance is passed, it w
    -
    865class BitString(Condition):
    -866    pass
    +            
    878class BitString(Condition):
    +879    pass
     
    @@ -11089,6 +11212,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11126,8 +11250,8 @@ If an Expression instance is passed, it w
    -
    869class HexString(Condition):
    -870    pass
    +            
    882class HexString(Condition):
    +883    pass
     
    @@ -11156,6 +11280,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11193,8 +11318,8 @@ If an Expression instance is passed, it w
    -
    873class ByteString(Condition):
    -874    pass
    +            
    886class ByteString(Condition):
    +887    pass
     
    @@ -11223,6 +11348,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11260,24 +11386,24 @@ If an Expression instance is passed, it w
    -
    877class Column(Condition):
    -878    arg_types = {"this": True, "table": False, "db": False, "catalog": False}
    -879
    -880    @property
    -881    def table(self) -> str:
    -882        return self.text("table")
    -883
    -884    @property
    -885    def db(self) -> str:
    -886        return self.text("db")
    -887
    -888    @property
    -889    def catalog(self) -> str:
    -890        return self.text("catalog")
    -891
    -892    @property
    -893    def output_name(self) -> str:
    -894        return self.name
    +            
    890class Column(Condition):
    +891    arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False}
    +892
    +893    @property
    +894    def table(self) -> str:
    +895        return self.text("table")
    +896
    +897    @property
    +898    def db(self) -> str:
    +899        return self.text("db")
    +900
    +901    @property
    +902    def catalog(self) -> str:
    +903        return self.text("catalog")
    +904
    +905    @property
    +906    def output_name(self) -> str:
    +907        return self.name
     
    @@ -11335,6 +11461,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11372,13 +11499,13 @@ If an Expression instance is passed, it w
    -
    897class ColumnDef(Expression):
    -898    arg_types = {
    -899        "this": True,
    -900        "kind": False,
    -901        "constraints": False,
    -902        "exists": False,
    -903    }
    +            
    910class ColumnDef(Expression):
    +911    arg_types = {
    +912        "this": True,
    +913        "kind": False,
    +914        "constraints": False,
    +915        "exists": False,
    +916    }
     
    @@ -11407,6 +11534,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11438,15 +11566,15 @@ If an Expression instance is passed, it w
    -
    906class AlterColumn(Expression):
    -907    arg_types = {
    -908        "this": True,
    -909        "dtype": False,
    -910        "collate": False,
    -911        "using": False,
    -912        "default": False,
    -913        "drop": False,
    -914    }
    +            
    919class AlterColumn(Expression):
    +920    arg_types = {
    +921        "this": True,
    +922        "dtype": False,
    +923        "collate": False,
    +924        "using": False,
    +925        "default": False,
    +926        "drop": False,
    +927    }
     
    @@ -11475,6 +11603,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11506,8 +11635,8 @@ If an Expression instance is passed, it w
    -
    917class RenameTable(Expression):
    -918    pass
    +            
    930class RenameTable(Expression):
    +931    pass
     
    @@ -11536,6 +11665,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11552,6 +11682,130 @@ If an Expression instance is passed, it w
    dump
    load
    +
    + +
    + +
    + +
    + + class + SetTag(Expression): + + + +
    + +
    934class SetTag(Expression):
    +935    arg_types = {"expressions": True, "unset": False}
    +
    + + + + + +
    +
    + +
    + + class + Comment(Expression): + + + +
    + +
    938class Comment(Expression):
    +939    arg_types = {"this": True, "kind": True, "expression": True, "exists": False}
    +
    + + + + + @@ -11567,8 +11821,8 @@ If an Expression instance is passed, it w
    -
    921class ColumnConstraint(Expression):
    -922    arg_types = {"this": False, "kind": True}
    +            
    942class ColumnConstraint(Expression):
    +943    arg_types = {"this": False, "kind": True}
     
    @@ -11597,6 +11851,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11628,8 +11883,8 @@ If an Expression instance is passed, it w
    -
    925class ColumnConstraintKind(Expression):
    -926    pass
    +            
    946class ColumnConstraintKind(Expression):
    +947    pass
     
    @@ -11658,6 +11913,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11689,8 +11945,8 @@ If an Expression instance is passed, it w
    -
    929class AutoIncrementColumnConstraint(ColumnConstraintKind):
    -930    pass
    +            
    950class AutoIncrementColumnConstraint(ColumnConstraintKind):
    +951    pass
     
    @@ -11719,6 +11975,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11750,8 +12007,8 @@ If an Expression instance is passed, it w
    -
    933class CaseSpecificColumnConstraint(ColumnConstraintKind):
    -934    arg_types = {"not_": True}
    +            
    954class CaseSpecificColumnConstraint(ColumnConstraintKind):
    +955    arg_types = {"not_": True}
     
    @@ -11780,6 +12037,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11811,8 +12069,8 @@ If an Expression instance is passed, it w
    -
    937class CharacterSetColumnConstraint(ColumnConstraintKind):
    -938    arg_types = {"this": True}
    +            
    958class CharacterSetColumnConstraint(ColumnConstraintKind):
    +959    arg_types = {"this": True}
     
    @@ -11841,6 +12099,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11872,8 +12131,8 @@ If an Expression instance is passed, it w
    -
    941class CheckColumnConstraint(ColumnConstraintKind):
    -942    pass
    +            
    962class CheckColumnConstraint(ColumnConstraintKind):
    +963    pass
     
    @@ -11902,6 +12161,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11933,8 +12193,8 @@ If an Expression instance is passed, it w
    -
    945class CollateColumnConstraint(ColumnConstraintKind):
    -946    pass
    +            
    966class CollateColumnConstraint(ColumnConstraintKind):
    +967    pass
     
    @@ -11963,6 +12223,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -11994,8 +12255,8 @@ If an Expression instance is passed, it w
    -
    949class CommentColumnConstraint(ColumnConstraintKind):
    -950    pass
    +            
    970class CommentColumnConstraint(ColumnConstraintKind):
    +971    pass
     
    @@ -12024,6 +12285,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12055,8 +12317,8 @@ If an Expression instance is passed, it w
    -
    953class CompressColumnConstraint(ColumnConstraintKind):
    -954    pass
    +            
    974class CompressColumnConstraint(ColumnConstraintKind):
    +975    pass
     
    @@ -12085,6 +12347,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12116,8 +12379,8 @@ If an Expression instance is passed, it w
    -
    957class DateFormatColumnConstraint(ColumnConstraintKind):
    -958    arg_types = {"this": True}
    +            
    978class DateFormatColumnConstraint(ColumnConstraintKind):
    +979    arg_types = {"this": True}
     
    @@ -12146,6 +12409,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12177,8 +12441,8 @@ If an Expression instance is passed, it w
    -
    961class DefaultColumnConstraint(ColumnConstraintKind):
    -962    pass
    +            
    982class DefaultColumnConstraint(ColumnConstraintKind):
    +983    pass
     
    @@ -12207,6 +12471,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12238,8 +12503,8 @@ If an Expression instance is passed, it w
    -
    965class EncodeColumnConstraint(ColumnConstraintKind):
    -966    pass
    +            
    986class EncodeColumnConstraint(ColumnConstraintKind):
    +987    pass
     
    @@ -12268,6 +12533,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12299,16 +12565,16 @@ If an Expression instance is passed, it w
    -
    969class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind):
    -970    # this: True -> ALWAYS, this: False -> BY DEFAULT
    -971    arg_types = {
    -972        "this": False,
    -973        "start": False,
    -974        "increment": False,
    -975        "minvalue": False,
    -976        "maxvalue": False,
    -977        "cycle": False,
    -978    }
    +            
    990class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind):
    +991    # this: True -> ALWAYS, this: False -> BY DEFAULT
    +992    arg_types = {
    +993        "this": False,
    +994        "start": False,
    +995        "increment": False,
    +996        "minvalue": False,
    +997        "maxvalue": False,
    +998        "cycle": False,
    +999    }
     
    @@ -12337,6 +12603,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12368,8 +12635,8 @@ If an Expression instance is passed, it w
    -
    981class InlineLengthColumnConstraint(ColumnConstraintKind):
    -982    pass
    +            
    1002class InlineLengthColumnConstraint(ColumnConstraintKind):
    +1003    pass
     
    @@ -12398,6 +12665,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12429,8 +12697,8 @@ If an Expression instance is passed, it w
    -
    985class NotNullColumnConstraint(ColumnConstraintKind):
    -986    arg_types = {"allow_null": False}
    +            
    1006class NotNullColumnConstraint(ColumnConstraintKind):
    +1007    arg_types = {"allow_null": False}
     
    @@ -12459,6 +12727,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12490,8 +12759,8 @@ If an Expression instance is passed, it w
    -
    989class PrimaryKeyColumnConstraint(ColumnConstraintKind):
    -990    arg_types = {"desc": False}
    +            
    1010class PrimaryKeyColumnConstraint(ColumnConstraintKind):
    +1011    arg_types = {"desc": False}
     
    @@ -12520,6 +12789,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12551,8 +12821,8 @@ If an Expression instance is passed, it w
    -
    993class TitleColumnConstraint(ColumnConstraintKind):
    -994    pass
    +            
    1014class TitleColumnConstraint(ColumnConstraintKind):
    +1015    pass
     
    @@ -12581,6 +12851,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12612,8 +12883,8 @@ If an Expression instance is passed, it w
    -
    997class UniqueColumnConstraint(ColumnConstraintKind):
    -998    arg_types: t.Dict[str, t.Any] = {}
    +            
    1018class UniqueColumnConstraint(ColumnConstraintKind):
    +1019    arg_types: t.Dict[str, t.Any] = {}
     
    @@ -12642,6 +12913,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12673,8 +12945,8 @@ If an Expression instance is passed, it w
    -
    1001class UppercaseColumnConstraint(ColumnConstraintKind):
    -1002    arg_types: t.Dict[str, t.Any] = {}
    +            
    1022class UppercaseColumnConstraint(ColumnConstraintKind):
    +1023    arg_types: t.Dict[str, t.Any] = {}
     
    @@ -12703,6 +12975,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12734,8 +13007,8 @@ If an Expression instance is passed, it w
    -
    1005class PathColumnConstraint(ColumnConstraintKind):
    -1006    pass
    +            
    1026class PathColumnConstraint(ColumnConstraintKind):
    +1027    pass
     
    @@ -12764,6 +13037,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12795,8 +13069,8 @@ If an Expression instance is passed, it w
    -
    1009class Constraint(Expression):
    -1010    arg_types = {"this": True, "expressions": True}
    +            
    1030class Constraint(Expression):
    +1031    arg_types = {"this": True, "expressions": True}
     
    @@ -12825,6 +13099,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12856,8 +13131,8 @@ If an Expression instance is passed, it w
    -
    1013class Delete(Expression):
    -1014    arg_types = {"with": False, "this": False, "using": False, "where": False}
    +            
    1034class Delete(Expression):
    +1035    arg_types = {"with": False, "this": False, "using": False, "where": False}
     
    @@ -12886,6 +13161,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12917,15 +13193,15 @@ If an Expression instance is passed, it w
    -
    1017class Drop(Expression):
    -1018    arg_types = {
    -1019        "this": False,
    -1020        "kind": False,
    -1021        "exists": False,
    -1022        "temporary": False,
    -1023        "materialized": False,
    -1024        "cascade": False,
    -1025    }
    +            
    1038class Drop(Expression):
    +1039    arg_types = {
    +1040        "this": False,
    +1041        "kind": False,
    +1042        "exists": False,
    +1043        "temporary": False,
    +1044        "materialized": False,
    +1045        "cascade": False,
    +1046    }
     
    @@ -12954,6 +13230,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -12985,8 +13262,8 @@ If an Expression instance is passed, it w
    -
    1028class Filter(Expression):
    -1029    arg_types = {"this": True, "expression": True}
    +            
    1049class Filter(Expression):
    +1050    arg_types = {"this": True, "expression": True}
     
    @@ -13015,6 +13292,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13046,8 +13324,8 @@ If an Expression instance is passed, it w
    -
    1032class Check(Expression):
    -1033    pass
    +            
    1053class Check(Expression):
    +1054    pass
     
    @@ -13076,6 +13354,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13107,9 +13386,9 @@ If an Expression instance is passed, it w
    -
    1036class Directory(Expression):
    -1037    # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html
    -1038    arg_types = {"this": True, "local": False, "row_format": False}
    +            
    1057class Directory(Expression):
    +1058    # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html
    +1059    arg_types = {"this": True, "local": False, "row_format": False}
     
    @@ -13138,6 +13417,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13169,13 +13449,13 @@ If an Expression instance is passed, it w
    -
    1041class ForeignKey(Expression):
    -1042    arg_types = {
    -1043        "expressions": True,
    -1044        "reference": False,
    -1045        "delete": False,
    -1046        "update": False,
    -1047    }
    +            
    1062class ForeignKey(Expression):
    +1063    arg_types = {
    +1064        "expressions": True,
    +1065        "reference": False,
    +1066        "delete": False,
    +1067        "update": False,
    +1068    }
     
    @@ -13204,6 +13484,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13235,8 +13516,8 @@ If an Expression instance is passed, it w
    -
    1050class PrimaryKey(Expression):
    -1051    arg_types = {"expressions": True, "options": False}
    +            
    1071class PrimaryKey(Expression):
    +1072    arg_types = {"expressions": True, "options": False}
     
    @@ -13265,6 +13546,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13296,8 +13578,8 @@ If an Expression instance is passed, it w
    -
    1054class Unique(Expression):
    -1055    arg_types = {"expressions": True}
    +            
    1075class Unique(Expression):
    +1076    arg_types = {"expressions": True}
     
    @@ -13326,6 +13608,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13357,8 +13640,8 @@ If an Expression instance is passed, it w
    -
    1060class Into(Expression):
    -1061    arg_types = {"this": True, "temporary": False, "unlogged": False}
    +            
    1081class Into(Expression):
    +1082    arg_types = {"this": True, "temporary": False, "unlogged": False}
     
    @@ -13387,6 +13670,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13418,8 +13702,8 @@ If an Expression instance is passed, it w
    -
    1064class From(Expression):
    -1065    arg_types = {"expressions": True}
    +            
    1085class From(Expression):
    +1086    arg_types = {"expressions": True}
     
    @@ -13448,6 +13732,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13479,8 +13764,8 @@ If an Expression instance is passed, it w
    -
    1068class Having(Expression):
    -1069    pass
    +            
    1089class Having(Expression):
    +1090    pass
     
    @@ -13509,6 +13794,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13540,8 +13826,8 @@ If an Expression instance is passed, it w
    -
    1072class Hint(Expression):
    -1073    arg_types = {"expressions": True}
    +            
    1093class Hint(Expression):
    +1094    arg_types = {"expressions": True}
     
    @@ -13570,6 +13856,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13601,8 +13888,8 @@ If an Expression instance is passed, it w
    -
    1076class JoinHint(Expression):
    -1077    arg_types = {"this": True, "expressions": True}
    +            
    1097class JoinHint(Expression):
    +1098    arg_types = {"this": True, "expressions": True}
     
    @@ -13631,6 +13918,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13662,22 +13950,22 @@ If an Expression instance is passed, it w
    -
    1080class Identifier(Expression):
    -1081    arg_types = {"this": True, "quoted": False}
    -1082
    -1083    @property
    -1084    def quoted(self):
    -1085        return bool(self.args.get("quoted"))
    -1086
    -1087    def __eq__(self, other):
    -1088        return isinstance(other, self.__class__) and _norm_arg(self.this) == _norm_arg(other.this)
    -1089
    -1090    def __hash__(self):
    -1091        return hash((self.key, self.this.lower()))
    -1092
    -1093    @property
    -1094    def output_name(self):
    -1095        return self.name
    +            
    1101class Identifier(Expression):
    +1102    arg_types = {"this": True, "quoted": False}
    +1103
    +1104    @property
    +1105    def quoted(self):
    +1106        return bool(self.args.get("quoted"))
    +1107
    +1108    def __eq__(self, other):
    +1109        return isinstance(other, self.__class__) and _norm_arg(self.this) == _norm_arg(other.this)
    +1110
    +1111    def __hash__(self):
    +1112        return hash((self.key, self.this.lower()))
    +1113
    +1114    @property
    +1115    def output_name(self):
    +1116        return self.name
     
    @@ -13735,6 +14023,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13766,16 +14055,16 @@ If an Expression instance is passed, it w
    -
    1098class Index(Expression):
    -1099    arg_types = {
    -1100        "this": False,
    -1101        "table": False,
    -1102        "where": False,
    -1103        "columns": False,
    -1104        "unique": False,
    -1105        "primary": False,
    -1106        "amp": False,  # teradata
    -1107    }
    +            
    1119class Index(Expression):
    +1120    arg_types = {
    +1121        "this": False,
    +1122        "table": False,
    +1123        "where": False,
    +1124        "columns": False,
    +1125        "unique": False,
    +1126        "primary": False,
    +1127        "amp": False,  # teradata
    +1128    }
     
    @@ -13804,6 +14093,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13835,16 +14125,16 @@ If an Expression instance is passed, it w
    -
    1110class Insert(Expression):
    -1111    arg_types = {
    -1112        "with": False,
    -1113        "this": True,
    -1114        "expression": False,
    -1115        "overwrite": False,
    -1116        "exists": False,
    -1117        "partition": False,
    -1118        "alternative": False,
    -1119    }
    +            
    1131class Insert(Expression):
    +1132    arg_types = {
    +1133        "with": False,
    +1134        "this": True,
    +1135        "expression": False,
    +1136        "overwrite": False,
    +1137        "exists": False,
    +1138        "partition": False,
    +1139        "alternative": False,
    +1140    }
     
    @@ -13873,6 +14163,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13904,8 +14195,8 @@ If an Expression instance is passed, it w
    -
    1123class Introducer(Expression):
    -1124    arg_types = {"this": True, "expression": True}
    +            
    1144class Introducer(Expression):
    +1145    arg_types = {"this": True, "expression": True}
     
    @@ -13934,6 +14225,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -13965,8 +14257,8 @@ If an Expression instance is passed, it w
    -
    1128class National(Expression):
    -1129    pass
    +            
    1149class National(Expression):
    +1150    pass
     
    @@ -13995,6 +14287,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14026,16 +14319,16 @@ If an Expression instance is passed, it w
    -
    1132class LoadData(Expression):
    -1133    arg_types = {
    -1134        "this": True,
    -1135        "local": False,
    -1136        "overwrite": False,
    -1137        "inpath": True,
    -1138        "partition": False,
    -1139        "input_format": False,
    -1140        "serde": False,
    -1141    }
    +            
    1153class LoadData(Expression):
    +1154    arg_types = {
    +1155        "this": True,
    +1156        "local": False,
    +1157        "overwrite": False,
    +1158        "inpath": True,
    +1159        "partition": False,
    +1160        "input_format": False,
    +1161        "serde": False,
    +1162    }
     
    @@ -14064,6 +14357,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14095,8 +14389,8 @@ If an Expression instance is passed, it w
    -
    1144class Partition(Expression):
    -1145    arg_types = {"expressions": True}
    +            
    1165class Partition(Expression):
    +1166    arg_types = {"expressions": True}
     
    @@ -14125,6 +14419,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14156,8 +14451,8 @@ If an Expression instance is passed, it w
    -
    1148class Fetch(Expression):
    -1149    arg_types = {"direction": False, "count": False}
    +            
    1169class Fetch(Expression):
    +1170    arg_types = {"direction": False, "count": False}
     
    @@ -14186,6 +14481,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14217,13 +14513,13 @@ If an Expression instance is passed, it w
    -
    1152class Group(Expression):
    -1153    arg_types = {
    -1154        "expressions": False,
    -1155        "grouping_sets": False,
    -1156        "cube": False,
    -1157        "rollup": False,
    -1158    }
    +            
    1173class Group(Expression):
    +1174    arg_types = {
    +1175        "expressions": False,
    +1176        "grouping_sets": False,
    +1177        "cube": False,
    +1178        "rollup": False,
    +1179    }
     
    @@ -14252,6 +14548,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14283,8 +14580,8 @@ If an Expression instance is passed, it w
    -
    1161class Lambda(Expression):
    -1162    arg_types = {"this": True, "expressions": True}
    +            
    1182class Lambda(Expression):
    +1183    arg_types = {"this": True, "expressions": True}
     
    @@ -14313,6 +14610,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14344,8 +14642,8 @@ If an Expression instance is passed, it w
    -
    1165class Limit(Expression):
    -1166    arg_types = {"this": False, "expression": True}
    +            
    1186class Limit(Expression):
    +1187    arg_types = {"this": False, "expression": True}
     
    @@ -14374,6 +14672,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14405,30 +14704,30 @@ If an Expression instance is passed, it w
    -
    1169class Literal(Condition):
    -1170    arg_types = {"this": True, "is_string": True}
    -1171
    -1172    def __eq__(self, other):
    -1173        return (
    -1174            isinstance(other, Literal)
    -1175            and self.this == other.this
    -1176            and self.args["is_string"] == other.args["is_string"]
    -1177        )
    -1178
    -1179    def __hash__(self):
    -1180        return hash((self.key, self.this, self.args["is_string"]))
    -1181
    -1182    @classmethod
    -1183    def number(cls, number) -> Literal:
    -1184        return cls(this=str(number), is_string=False)
    -1185
    -1186    @classmethod
    -1187    def string(cls, string) -> Literal:
    -1188        return cls(this=str(string), is_string=True)
    -1189
    -1190    @property
    -1191    def output_name(self):
    -1192        return self.name
    +            
    1190class Literal(Condition):
    +1191    arg_types = {"this": True, "is_string": True}
    +1192
    +1193    def __eq__(self, other):
    +1194        return (
    +1195            isinstance(other, Literal)
    +1196            and self.this == other.this
    +1197            and self.args["is_string"] == other.args["is_string"]
    +1198        )
    +1199
    +1200    def __hash__(self):
    +1201        return hash((self.key, self.this, self.args["is_string"]))
    +1202
    +1203    @classmethod
    +1204    def number(cls, number) -> Literal:
    +1205        return cls(this=str(number), is_string=False)
    +1206
    +1207    @classmethod
    +1208    def string(cls, string) -> Literal:
    +1209        return cls(this=str(string), is_string=True)
    +1210
    +1211    @property
    +1212    def output_name(self):
    +1213        return self.name
     
    @@ -14446,9 +14745,9 @@ If an Expression instance is passed, it w
    -
    1182    @classmethod
    -1183    def number(cls, number) -> Literal:
    -1184        return cls(this=str(number), is_string=False)
    +            
    1203    @classmethod
    +1204    def number(cls, number) -> Literal:
    +1205        return cls(this=str(number), is_string=False)
     
    @@ -14467,9 +14766,9 @@ If an Expression instance is passed, it w
    -
    1186    @classmethod
    -1187    def string(cls, string) -> Literal:
    -1188        return cls(this=str(string), is_string=True)
    +            
    1207    @classmethod
    +1208    def string(cls, string) -> Literal:
    +1209        return cls(this=str(string), is_string=True)
     
    @@ -14528,6 +14827,7 @@ If an Expression instance is passed, it w
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14565,100 +14865,100 @@ If an Expression instance is passed, it w
    -
    1195class Join(Expression):
    -1196    arg_types = {
    -1197        "this": True,
    -1198        "on": False,
    -1199        "side": False,
    -1200        "kind": False,
    -1201        "using": False,
    -1202        "natural": False,
    -1203    }
    -1204
    -1205    @property
    -1206    def kind(self):
    -1207        return self.text("kind").upper()
    -1208
    -1209    @property
    -1210    def side(self):
    -1211        return self.text("side").upper()
    -1212
    -1213    @property
    -1214    def alias_or_name(self):
    -1215        return self.this.alias_or_name
    -1216
    -1217    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
    -1218        """
    -1219        Append to or set the ON expressions.
    -1220
    -1221        Example:
    -1222            >>> import sqlglot
    -1223            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
    -1224            'JOIN x ON y = 1'
    +            
    1216class Join(Expression):
    +1217    arg_types = {
    +1218        "this": True,
    +1219        "on": False,
    +1220        "side": False,
    +1221        "kind": False,
    +1222        "using": False,
    +1223        "natural": False,
    +1224    }
     1225
    -1226        Args:
    -1227            *expressions (str | Expression): the SQL code strings to parse.
    -1228                If an `Expression` instance is passed, it will be used as-is.
    -1229                Multiple expressions are combined with an AND operator.
    -1230            append (bool): if `True`, AND the new expressions to any existing expression.
    -1231                Otherwise, this resets the expression.
    -1232            dialect (str): the dialect used to parse the input expressions.
    -1233            copy (bool): if `False`, modify this expression instance in-place.
    -1234            opts (kwargs): other options to use to parse the input expressions.
    -1235
    -1236        Returns:
    -1237            Join: the modified join expression.
    -1238        """
    -1239        join = _apply_conjunction_builder(
    -1240            *expressions,
    -1241            instance=self,
    -1242            arg="on",
    -1243            append=append,
    -1244            dialect=dialect,
    -1245            copy=copy,
    -1246            **opts,
    -1247        )
    -1248
    -1249        if join.kind == "CROSS":
    -1250            join.set("kind", None)
    -1251
    -1252        return join
    -1253
    -1254    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
    -1255        """
    -1256        Append to or set the USING expressions.
    -1257
    -1258        Example:
    -1259            >>> import sqlglot
    -1260            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
    -1261            'JOIN x USING (foo, bla)'
    -1262
    -1263        Args:
    -1264            *expressions (str | Expression): the SQL code strings to parse.
    -1265                If an `Expression` instance is passed, it will be used as-is.
    -1266            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
    -1267                Otherwise, this resets the expression.
    -1268            dialect (str): the dialect used to parse the input expressions.
    -1269            copy (bool): if `False`, modify this expression instance in-place.
    -1270            opts (kwargs): other options to use to parse the input expressions.
    -1271
    -1272        Returns:
    -1273            Join: the modified join expression.
    -1274        """
    -1275        join = _apply_list_builder(
    -1276            *expressions,
    -1277            instance=self,
    -1278            arg="using",
    -1279            append=append,
    -1280            dialect=dialect,
    -1281            copy=copy,
    -1282            **opts,
    -1283        )
    -1284
    -1285        if join.kind == "CROSS":
    -1286            join.set("kind", None)
    -1287
    -1288        return join
    +1226    @property
    +1227    def kind(self):
    +1228        return self.text("kind").upper()
    +1229
    +1230    @property
    +1231    def side(self):
    +1232        return self.text("side").upper()
    +1233
    +1234    @property
    +1235    def alias_or_name(self):
    +1236        return self.this.alias_or_name
    +1237
    +1238    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
    +1239        """
    +1240        Append to or set the ON expressions.
    +1241
    +1242        Example:
    +1243            >>> import sqlglot
    +1244            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
    +1245            'JOIN x ON y = 1'
    +1246
    +1247        Args:
    +1248            *expressions (str | Expression): the SQL code strings to parse.
    +1249                If an `Expression` instance is passed, it will be used as-is.
    +1250                Multiple expressions are combined with an AND operator.
    +1251            append (bool): if `True`, AND the new expressions to any existing expression.
    +1252                Otherwise, this resets the expression.
    +1253            dialect (str): the dialect used to parse the input expressions.
    +1254            copy (bool): if `False`, modify this expression instance in-place.
    +1255            opts (kwargs): other options to use to parse the input expressions.
    +1256
    +1257        Returns:
    +1258            Join: the modified join expression.
    +1259        """
    +1260        join = _apply_conjunction_builder(
    +1261            *expressions,
    +1262            instance=self,
    +1263            arg="on",
    +1264            append=append,
    +1265            dialect=dialect,
    +1266            copy=copy,
    +1267            **opts,
    +1268        )
    +1269
    +1270        if join.kind == "CROSS":
    +1271            join.set("kind", None)
    +1272
    +1273        return join
    +1274
    +1275    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
    +1276        """
    +1277        Append to or set the USING expressions.
    +1278
    +1279        Example:
    +1280            >>> import sqlglot
    +1281            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
    +1282            'JOIN x USING (foo, bla)'
    +1283
    +1284        Args:
    +1285            *expressions (str | Expression): the SQL code strings to parse.
    +1286                If an `Expression` instance is passed, it will be used as-is.
    +1287            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
    +1288                Otherwise, this resets the expression.
    +1289            dialect (str): the dialect used to parse the input expressions.
    +1290            copy (bool): if `False`, modify this expression instance in-place.
    +1291            opts (kwargs): other options to use to parse the input expressions.
    +1292
    +1293        Returns:
    +1294            Join: the modified join expression.
    +1295        """
    +1296        join = _apply_list_builder(
    +1297            *expressions,
    +1298            instance=self,
    +1299            arg="using",
    +1300            append=append,
    +1301            dialect=dialect,
    +1302            copy=copy,
    +1303            **opts,
    +1304        )
    +1305
    +1306        if join.kind == "CROSS":
    +1307            join.set("kind", None)
    +1308
    +1309        return join
     
    @@ -14675,42 +14975,42 @@ If an Expression instance is passed, it w
    -
    1217    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
    -1218        """
    -1219        Append to or set the ON expressions.
    -1220
    -1221        Example:
    -1222            >>> import sqlglot
    -1223            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
    -1224            'JOIN x ON y = 1'
    -1225
    -1226        Args:
    -1227            *expressions (str | Expression): the SQL code strings to parse.
    -1228                If an `Expression` instance is passed, it will be used as-is.
    -1229                Multiple expressions are combined with an AND operator.
    -1230            append (bool): if `True`, AND the new expressions to any existing expression.
    -1231                Otherwise, this resets the expression.
    -1232            dialect (str): the dialect used to parse the input expressions.
    -1233            copy (bool): if `False`, modify this expression instance in-place.
    -1234            opts (kwargs): other options to use to parse the input expressions.
    -1235
    -1236        Returns:
    -1237            Join: the modified join expression.
    -1238        """
    -1239        join = _apply_conjunction_builder(
    -1240            *expressions,
    -1241            instance=self,
    -1242            arg="on",
    -1243            append=append,
    -1244            dialect=dialect,
    -1245            copy=copy,
    -1246            **opts,
    -1247        )
    -1248
    -1249        if join.kind == "CROSS":
    -1250            join.set("kind", None)
    -1251
    -1252        return join
    +            
    1238    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
    +1239        """
    +1240        Append to or set the ON expressions.
    +1241
    +1242        Example:
    +1243            >>> import sqlglot
    +1244            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
    +1245            'JOIN x ON y = 1'
    +1246
    +1247        Args:
    +1248            *expressions (str | Expression): the SQL code strings to parse.
    +1249                If an `Expression` instance is passed, it will be used as-is.
    +1250                Multiple expressions are combined with an AND operator.
    +1251            append (bool): if `True`, AND the new expressions to any existing expression.
    +1252                Otherwise, this resets the expression.
    +1253            dialect (str): the dialect used to parse the input expressions.
    +1254            copy (bool): if `False`, modify this expression instance in-place.
    +1255            opts (kwargs): other options to use to parse the input expressions.
    +1256
    +1257        Returns:
    +1258            Join: the modified join expression.
    +1259        """
    +1260        join = _apply_conjunction_builder(
    +1261            *expressions,
    +1262            instance=self,
    +1263            arg="on",
    +1264            append=append,
    +1265            dialect=dialect,
    +1266            copy=copy,
    +1267            **opts,
    +1268        )
    +1269
    +1270        if join.kind == "CROSS":
    +1271            join.set("kind", None)
    +1272
    +1273        return join
     
    @@ -14760,41 +15060,41 @@ Otherwise, this resets the expression.
    -
    1254    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
    -1255        """
    -1256        Append to or set the USING expressions.
    -1257
    -1258        Example:
    -1259            >>> import sqlglot
    -1260            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
    -1261            'JOIN x USING (foo, bla)'
    -1262
    -1263        Args:
    -1264            *expressions (str | Expression): the SQL code strings to parse.
    -1265                If an `Expression` instance is passed, it will be used as-is.
    -1266            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
    -1267                Otherwise, this resets the expression.
    -1268            dialect (str): the dialect used to parse the input expressions.
    -1269            copy (bool): if `False`, modify this expression instance in-place.
    -1270            opts (kwargs): other options to use to parse the input expressions.
    -1271
    -1272        Returns:
    -1273            Join: the modified join expression.
    -1274        """
    -1275        join = _apply_list_builder(
    -1276            *expressions,
    -1277            instance=self,
    -1278            arg="using",
    -1279            append=append,
    -1280            dialect=dialect,
    -1281            copy=copy,
    -1282            **opts,
    -1283        )
    -1284
    -1285        if join.kind == "CROSS":
    -1286            join.set("kind", None)
    -1287
    -1288        return join
    +            
    1275    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
    +1276        """
    +1277        Append to or set the USING expressions.
    +1278
    +1279        Example:
    +1280            >>> import sqlglot
    +1281            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
    +1282            'JOIN x USING (foo, bla)'
    +1283
    +1284        Args:
    +1285            *expressions (str | Expression): the SQL code strings to parse.
    +1286                If an `Expression` instance is passed, it will be used as-is.
    +1287            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
    +1288                Otherwise, this resets the expression.
    +1289            dialect (str): the dialect used to parse the input expressions.
    +1290            copy (bool): if `False`, modify this expression instance in-place.
    +1291            opts (kwargs): other options to use to parse the input expressions.
    +1292
    +1293        Returns:
    +1294            Join: the modified join expression.
    +1295        """
    +1296        join = _apply_list_builder(
    +1297            *expressions,
    +1298            instance=self,
    +1299            arg="using",
    +1300            append=append,
    +1301            dialect=dialect,
    +1302            copy=copy,
    +1303            **opts,
    +1304        )
    +1305
    +1306        if join.kind == "CROSS":
    +1307            join.set("kind", None)
    +1308
    +1309        return join
     
    @@ -14855,6 +15155,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14886,8 +15187,8 @@ Otherwise, this resets the expression.
    -
    1291class Lateral(UDTF):
    -1292    arg_types = {"this": True, "view": False, "outer": False, "alias": False}
    +            
    1312class Lateral(UDTF):
    +1313    arg_types = {"this": True, "view": False, "outer": False, "alias": False}
     
    @@ -14916,6 +15217,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -14953,16 +15255,16 @@ Otherwise, this resets the expression.
    -
    1295class MatchRecognize(Expression):
    -1296    arg_types = {
    -1297        "partition_by": False,
    -1298        "order": False,
    -1299        "measures": False,
    -1300        "rows": False,
    -1301        "after": False,
    -1302        "pattern": False,
    -1303        "define": False,
    -1304    }
    +            
    1316class MatchRecognize(Expression):
    +1317    arg_types = {
    +1318        "partition_by": False,
    +1319        "order": False,
    +1320        "measures": False,
    +1321        "rows": False,
    +1322        "after": False,
    +1323        "pattern": False,
    +1324        "define": False,
    +1325    }
     
    @@ -14991,6 +15293,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15022,8 +15325,8 @@ Otherwise, this resets the expression.
    -
    1309class Final(Expression):
    -1310    pass
    +            
    1330class Final(Expression):
    +1331    pass
     
    @@ -15052,6 +15355,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15083,8 +15387,8 @@ Otherwise, this resets the expression.
    -
    1313class Offset(Expression):
    -1314    arg_types = {"this": False, "expression": True}
    +            
    1334class Offset(Expression):
    +1335    arg_types = {"this": False, "expression": True}
     
    @@ -15113,6 +15417,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15144,8 +15449,8 @@ Otherwise, this resets the expression.
    -
    1317class Order(Expression):
    -1318    arg_types = {"this": False, "expressions": True}
    +            
    1338class Order(Expression):
    +1339    arg_types = {"this": False, "expressions": True}
     
    @@ -15174,6 +15479,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15205,8 +15511,8 @@ Otherwise, this resets the expression.
    -
    1323class Cluster(Order):
    -1324    pass
    +            
    1344class Cluster(Order):
    +1345    pass
     
    @@ -15235,6 +15541,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15266,8 +15573,8 @@ Otherwise, this resets the expression.
    -
    1327class Distribute(Order):
    -1328    pass
    +            
    1348class Distribute(Order):
    +1349    pass
     
    @@ -15296,6 +15603,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15327,8 +15635,8 @@ Otherwise, this resets the expression.
    -
    1331class Sort(Order):
    -1332    pass
    +            
    1352class Sort(Order):
    +1353    pass
     
    @@ -15357,6 +15665,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15388,8 +15697,8 @@ Otherwise, this resets the expression.
    -
    1335class Ordered(Expression):
    -1336    arg_types = {"this": True, "desc": True, "nulls_first": True}
    +            
    1356class Ordered(Expression):
    +1357    arg_types = {"this": True, "desc": True, "nulls_first": True}
     
    @@ -15418,6 +15727,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15449,8 +15759,8 @@ Otherwise, this resets the expression.
    -
    1339class Property(Expression):
    -1340    arg_types = {"this": True, "value": True}
    +            
    1360class Property(Expression):
    +1361    arg_types = {"this": True, "value": True}
     
    @@ -15479,6 +15789,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15510,8 +15821,8 @@ Otherwise, this resets the expression.
    -
    1343class AfterJournalProperty(Property):
    -1344    arg_types = {"no": True, "dual": False, "local": False}
    +            
    1364class AfterJournalProperty(Property):
    +1365    arg_types = {"no": True, "dual": False, "local": False}
     
    @@ -15540,6 +15851,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15571,8 +15883,8 @@ Otherwise, this resets the expression.
    -
    1347class AlgorithmProperty(Property):
    -1348    arg_types = {"this": True}
    +            
    1368class AlgorithmProperty(Property):
    +1369    arg_types = {"this": True}
     
    @@ -15601,6 +15913,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15632,8 +15945,8 @@ Otherwise, this resets the expression.
    -
    1351class AutoIncrementProperty(Property):
    -1352    arg_types = {"this": True}
    +            
    1372class AutoIncrementProperty(Property):
    +1373    arg_types = {"this": True}
     
    @@ -15662,6 +15975,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15693,8 +16007,8 @@ Otherwise, this resets the expression.
    -
    1355class BlockCompressionProperty(Property):
    -1356    arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True}
    +            
    1376class BlockCompressionProperty(Property):
    +1377    arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True}
     
    @@ -15723,6 +16037,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15754,8 +16069,8 @@ Otherwise, this resets the expression.
    -
    1359class CharacterSetProperty(Property):
    -1360    arg_types = {"this": True, "default": True}
    +            
    1380class CharacterSetProperty(Property):
    +1381    arg_types = {"this": True, "default": True}
     
    @@ -15784,6 +16099,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15815,8 +16131,8 @@ Otherwise, this resets the expression.
    -
    1363class ChecksumProperty(Property):
    -1364    arg_types = {"on": False, "default": False}
    +            
    1384class ChecksumProperty(Property):
    +1385    arg_types = {"on": False, "default": False}
     
    @@ -15845,6 +16161,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15876,8 +16193,8 @@ Otherwise, this resets the expression.
    -
    1367class CollateProperty(Property):
    -1368    arg_types = {"this": True}
    +            
    1388class CollateProperty(Property):
    +1389    arg_types = {"this": True}
     
    @@ -15906,6 +16223,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15937,8 +16255,8 @@ Otherwise, this resets the expression.
    -
    1371class DataBlocksizeProperty(Property):
    -1372    arg_types = {"size": False, "units": False, "min": False, "default": False}
    +            
    1392class DataBlocksizeProperty(Property):
    +1393    arg_types = {"size": False, "units": False, "min": False, "default": False}
     
    @@ -15967,6 +16285,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -15998,8 +16317,8 @@ Otherwise, this resets the expression.
    -
    1375class DefinerProperty(Property):
    -1376    arg_types = {"this": True}
    +            
    1396class DefinerProperty(Property):
    +1397    arg_types = {"this": True}
     
    @@ -16028,6 +16347,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16059,8 +16379,8 @@ Otherwise, this resets the expression.
    -
    1379class DistKeyProperty(Property):
    -1380    arg_types = {"this": True}
    +            
    1400class DistKeyProperty(Property):
    +1401    arg_types = {"this": True}
     
    @@ -16089,6 +16409,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16120,8 +16441,8 @@ Otherwise, this resets the expression.
    -
    1383class DistStyleProperty(Property):
    -1384    arg_types = {"this": True}
    +            
    1404class DistStyleProperty(Property):
    +1405    arg_types = {"this": True}
     
    @@ -16150,6 +16471,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16181,8 +16503,8 @@ Otherwise, this resets the expression.
    -
    1387class EngineProperty(Property):
    -1388    arg_types = {"this": True}
    +            
    1408class EngineProperty(Property):
    +1409    arg_types = {"this": True}
     
    @@ -16211,6 +16533,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16242,8 +16565,8 @@ Otherwise, this resets the expression.
    -
    1391class ExecuteAsProperty(Property):
    -1392    arg_types = {"this": True}
    +            
    1412class ExecuteAsProperty(Property):
    +1413    arg_types = {"this": True}
     
    @@ -16272,6 +16595,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16303,8 +16627,8 @@ Otherwise, this resets the expression.
    -
    1395class ExternalProperty(Property):
    -1396    arg_types = {"this": False}
    +            
    1416class ExternalProperty(Property):
    +1417    arg_types = {"this": False}
     
    @@ -16333,6 +16657,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16364,8 +16689,8 @@ Otherwise, this resets the expression.
    -
    1399class FallbackProperty(Property):
    -1400    arg_types = {"no": True, "protection": False}
    +            
    1420class FallbackProperty(Property):
    +1421    arg_types = {"no": True, "protection": False}
     
    @@ -16394,6 +16719,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16425,8 +16751,8 @@ Otherwise, this resets the expression.
    -
    1403class FileFormatProperty(Property):
    -1404    arg_types = {"this": True}
    +            
    1424class FileFormatProperty(Property):
    +1425    arg_types = {"this": True}
     
    @@ -16455,6 +16781,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16486,8 +16813,8 @@ Otherwise, this resets the expression.
    -
    1407class FreespaceProperty(Property):
    -1408    arg_types = {"this": True, "percent": False}
    +            
    1428class FreespaceProperty(Property):
    +1429    arg_types = {"this": True, "percent": False}
     
    @@ -16516,6 +16843,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16547,14 +16875,14 @@ Otherwise, this resets the expression.
    -
    1411class IsolatedLoadingProperty(Property):
    -1412    arg_types = {
    -1413        "no": True,
    -1414        "concurrent": True,
    -1415        "for_all": True,
    -1416        "for_insert": True,
    -1417        "for_none": True,
    -1418    }
    +            
    1432class IsolatedLoadingProperty(Property):
    +1433    arg_types = {
    +1434        "no": True,
    +1435        "concurrent": True,
    +1436        "for_all": True,
    +1437        "for_insert": True,
    +1438        "for_none": True,
    +1439    }
     
    @@ -16583,6 +16911,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16614,8 +16943,8 @@ Otherwise, this resets the expression.
    -
    1421class JournalProperty(Property):
    -1422    arg_types = {"no": True, "dual": False, "before": False}
    +            
    1442class JournalProperty(Property):
    +1443    arg_types = {"no": True, "dual": False, "before": False}
     
    @@ -16644,6 +16973,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16675,8 +17005,8 @@ Otherwise, this resets the expression.
    -
    1425class LanguageProperty(Property):
    -1426    arg_types = {"this": True}
    +            
    1446class LanguageProperty(Property):
    +1447    arg_types = {"this": True}
     
    @@ -16705,6 +17035,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16736,8 +17067,8 @@ Otherwise, this resets the expression.
    -
    1429class LikeProperty(Property):
    -1430    arg_types = {"this": True, "expressions": False}
    +            
    1450class LikeProperty(Property):
    +1451    arg_types = {"this": True, "expressions": False}
     
    @@ -16766,6 +17097,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16797,8 +17129,8 @@ Otherwise, this resets the expression.
    -
    1433class LocationProperty(Property):
    -1434    arg_types = {"this": True}
    +            
    1454class LocationProperty(Property):
    +1455    arg_types = {"this": True}
     
    @@ -16827,6 +17159,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16858,14 +17191,14 @@ Otherwise, this resets the expression.
    -
    1437class LockingProperty(Property):
    -1438    arg_types = {
    -1439        "this": False,
    -1440        "kind": True,
    -1441        "for_or_in": True,
    -1442        "lock_type": True,
    -1443        "override": False,
    -1444    }
    +            
    1458class LockingProperty(Property):
    +1459    arg_types = {
    +1460        "this": False,
    +1461        "kind": True,
    +1462        "for_or_in": True,
    +1463        "lock_type": True,
    +1464        "override": False,
    +1465    }
     
    @@ -16894,6 +17227,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16925,8 +17259,8 @@ Otherwise, this resets the expression.
    -
    1447class LogProperty(Property):
    -1448    arg_types = {"no": True}
    +            
    1468class LogProperty(Property):
    +1469    arg_types = {"no": True}
     
    @@ -16955,6 +17289,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -16986,8 +17321,8 @@ Otherwise, this resets the expression.
    -
    1451class MaterializedProperty(Property):
    -1452    arg_types = {"this": False}
    +            
    1472class MaterializedProperty(Property):
    +1473    arg_types = {"this": False}
     
    @@ -17016,6 +17351,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17047,8 +17383,8 @@ Otherwise, this resets the expression.
    -
    1455class MergeBlockRatioProperty(Property):
    -1456    arg_types = {"this": False, "no": False, "default": False, "percent": False}
    +            
    1476class MergeBlockRatioProperty(Property):
    +1477    arg_types = {"this": False, "no": False, "default": False, "percent": False}
     
    @@ -17077,6 +17413,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17108,8 +17445,8 @@ Otherwise, this resets the expression.
    -
    1459class NoPrimaryIndexProperty(Property):
    -1460    arg_types = {"this": False}
    +            
    1480class NoPrimaryIndexProperty(Property):
    +1481    arg_types = {"this": False}
     
    @@ -17138,6 +17475,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17169,8 +17507,8 @@ Otherwise, this resets the expression.
    -
    1463class OnCommitProperty(Property):
    -1464    arg_type = {"this": False}
    +            
    1484class OnCommitProperty(Property):
    +1485    arg_type = {"this": False}
     
    @@ -17199,6 +17537,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17230,8 +17569,8 @@ Otherwise, this resets the expression.
    -
    1467class PartitionedByProperty(Property):
    -1468    arg_types = {"this": True}
    +            
    1488class PartitionedByProperty(Property):
    +1489    arg_types = {"this": True}
     
    @@ -17260,6 +17599,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17291,8 +17631,8 @@ Otherwise, this resets the expression.
    -
    1471class ReturnsProperty(Property):
    -1472    arg_types = {"this": True, "is_table": False, "table": False}
    +            
    1492class ReturnsProperty(Property):
    +1493    arg_types = {"this": True, "is_table": False, "table": False}
     
    @@ -17321,6 +17661,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17352,17 +17693,17 @@ Otherwise, this resets the expression.
    -
    1475class RowFormatDelimitedProperty(Property):
    -1476    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
    -1477    arg_types = {
    -1478        "fields": False,
    -1479        "escaped": False,
    -1480        "collection_items": False,
    -1481        "map_keys": False,
    -1482        "lines": False,
    -1483        "null": False,
    -1484        "serde": False,
    -1485    }
    +            
    1496class RowFormatDelimitedProperty(Property):
    +1497    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
    +1498    arg_types = {
    +1499        "fields": False,
    +1500        "escaped": False,
    +1501        "collection_items": False,
    +1502        "map_keys": False,
    +1503        "lines": False,
    +1504        "null": False,
    +1505        "serde": False,
    +1506    }
     
    @@ -17391,6 +17732,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17422,8 +17764,8 @@ Otherwise, this resets the expression.
    -
    1488class RowFormatSerdeProperty(Property):
    -1489    arg_types = {"this": True}
    +            
    1509class RowFormatSerdeProperty(Property):
    +1510    arg_types = {"this": True}
     
    @@ -17452,6 +17794,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17483,8 +17826,8 @@ Otherwise, this resets the expression.
    -
    1492class SchemaCommentProperty(Property):
    -1493    arg_types = {"this": True}
    +            
    1513class SchemaCommentProperty(Property):
    +1514    arg_types = {"this": True}
     
    @@ -17513,6 +17856,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17544,8 +17888,8 @@ Otherwise, this resets the expression.
    -
    1496class SerdeProperties(Property):
    -1497    arg_types = {"expressions": True}
    +            
    1517class SerdeProperties(Property):
    +1518    arg_types = {"expressions": True}
     
    @@ -17574,6 +17918,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17605,8 +17950,8 @@ Otherwise, this resets the expression.
    -
    1500class SetProperty(Property):
    -1501    arg_types = {"multi": True}
    +            
    1521class SetProperty(Property):
    +1522    arg_types = {"multi": True}
     
    @@ -17635,6 +17980,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17666,8 +18012,8 @@ Otherwise, this resets the expression.
    -
    1504class SortKeyProperty(Property):
    -1505    arg_types = {"this": True, "compound": False}
    +            
    1525class SortKeyProperty(Property):
    +1526    arg_types = {"this": True, "compound": False}
     
    @@ -17696,6 +18042,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17727,8 +18074,8 @@ Otherwise, this resets the expression.
    -
    1508class SqlSecurityProperty(Property):
    -1509    arg_types = {"definer": True}
    +            
    1529class SqlSecurityProperty(Property):
    +1530    arg_types = {"definer": True}
     
    @@ -17757,6 +18104,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17788,8 +18136,8 @@ Otherwise, this resets the expression.
    -
    1512class TableFormatProperty(Property):
    -1513    arg_types = {"this": True}
    +            
    1533class TableFormatProperty(Property):
    +1534    arg_types = {"this": True}
     
    @@ -17818,6 +18166,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17849,8 +18198,8 @@ Otherwise, this resets the expression.
    -
    1516class TemporaryProperty(Property):
    -1517    arg_types = {"global_": True}
    +            
    1537class TemporaryProperty(Property):
    +1538    arg_types = {"global_": True}
     
    @@ -17879,6 +18228,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17910,8 +18260,8 @@ Otherwise, this resets the expression.
    -
    1520class TransientProperty(Property):
    -1521    arg_types = {"this": False}
    +            
    1541class TransientProperty(Property):
    +1542    arg_types = {"this": False}
     
    @@ -17940,6 +18290,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -17971,8 +18322,8 @@ Otherwise, this resets the expression.
    -
    1524class VolatilityProperty(Property):
    -1525    arg_types = {"this": True}
    +            
    1545class VolatilityProperty(Property):
    +1546    arg_types = {"this": True}
     
    @@ -18001,6 +18352,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18032,8 +18384,8 @@ Otherwise, this resets the expression.
    -
    1528class WithDataProperty(Property):
    -1529    arg_types = {"no": True, "statistics": False}
    +            
    1549class WithDataProperty(Property):
    +1550    arg_types = {"no": True, "statistics": False}
     
    @@ -18062,6 +18414,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18093,8 +18446,8 @@ Otherwise, this resets the expression.
    -
    1532class WithJournalTableProperty(Property):
    -1533    arg_types = {"this": True}
    +            
    1553class WithJournalTableProperty(Property):
    +1554    arg_types = {"this": True}
     
    @@ -18123,6 +18476,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18154,65 +18508,65 @@ Otherwise, this resets the expression.
    -
    1536class Properties(Expression):
    -1537    arg_types = {"expressions": True}
    -1538
    -1539    NAME_TO_PROPERTY = {
    -1540        "ALGORITHM": AlgorithmProperty,
    -1541        "AUTO_INCREMENT": AutoIncrementProperty,
    -1542        "CHARACTER SET": CharacterSetProperty,
    -1543        "COLLATE": CollateProperty,
    -1544        "COMMENT": SchemaCommentProperty,
    -1545        "DEFINER": DefinerProperty,
    -1546        "DISTKEY": DistKeyProperty,
    -1547        "DISTSTYLE": DistStyleProperty,
    -1548        "ENGINE": EngineProperty,
    -1549        "EXECUTE AS": ExecuteAsProperty,
    -1550        "FORMAT": FileFormatProperty,
    -1551        "LANGUAGE": LanguageProperty,
    -1552        "LOCATION": LocationProperty,
    -1553        "PARTITIONED_BY": PartitionedByProperty,
    -1554        "RETURNS": ReturnsProperty,
    -1555        "SORTKEY": SortKeyProperty,
    -1556        "TABLE_FORMAT": TableFormatProperty,
    -1557    }
    -1558
    -1559    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
    -1560
    -1561    # CREATE property locations
    -1562    # Form: schema specified
    -1563    #   create [POST_CREATE]
    -1564    #     table a [POST_NAME]
    -1565    #     (b int) [POST_SCHEMA]
    -1566    #     with ([POST_WITH])
    -1567    #     index (b) [POST_INDEX]
    -1568    #
    -1569    # Form: alias selection
    -1570    #   create [POST_CREATE]
    -1571    #     table a [POST_NAME]
    -1572    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
    -1573    #     index (c) [POST_INDEX]
    -1574    class Location(AutoName):
    -1575        POST_CREATE = auto()
    -1576        POST_NAME = auto()
    -1577        POST_SCHEMA = auto()
    -1578        POST_WITH = auto()
    -1579        POST_ALIAS = auto()
    -1580        POST_EXPRESSION = auto()
    -1581        POST_INDEX = auto()
    -1582        UNSUPPORTED = auto()
    -1583
    -1584    @classmethod
    -1585    def from_dict(cls, properties_dict) -> Properties:
    -1586        expressions = []
    -1587        for key, value in properties_dict.items():
    -1588            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
    -1589            if property_cls:
    -1590                expressions.append(property_cls(this=convert(value)))
    -1591            else:
    -1592                expressions.append(Property(this=Literal.string(key), value=convert(value)))
    -1593
    -1594        return cls(expressions=expressions)
    +            
    1557class Properties(Expression):
    +1558    arg_types = {"expressions": True}
    +1559
    +1560    NAME_TO_PROPERTY = {
    +1561        "ALGORITHM": AlgorithmProperty,
    +1562        "AUTO_INCREMENT": AutoIncrementProperty,
    +1563        "CHARACTER SET": CharacterSetProperty,
    +1564        "COLLATE": CollateProperty,
    +1565        "COMMENT": SchemaCommentProperty,
    +1566        "DEFINER": DefinerProperty,
    +1567        "DISTKEY": DistKeyProperty,
    +1568        "DISTSTYLE": DistStyleProperty,
    +1569        "ENGINE": EngineProperty,
    +1570        "EXECUTE AS": ExecuteAsProperty,
    +1571        "FORMAT": FileFormatProperty,
    +1572        "LANGUAGE": LanguageProperty,
    +1573        "LOCATION": LocationProperty,
    +1574        "PARTITIONED_BY": PartitionedByProperty,
    +1575        "RETURNS": ReturnsProperty,
    +1576        "SORTKEY": SortKeyProperty,
    +1577        "TABLE_FORMAT": TableFormatProperty,
    +1578    }
    +1579
    +1580    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
    +1581
    +1582    # CREATE property locations
    +1583    # Form: schema specified
    +1584    #   create [POST_CREATE]
    +1585    #     table a [POST_NAME]
    +1586    #     (b int) [POST_SCHEMA]
    +1587    #     with ([POST_WITH])
    +1588    #     index (b) [POST_INDEX]
    +1589    #
    +1590    # Form: alias selection
    +1591    #   create [POST_CREATE]
    +1592    #     table a [POST_NAME]
    +1593    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
    +1594    #     index (c) [POST_INDEX]
    +1595    class Location(AutoName):
    +1596        POST_CREATE = auto()
    +1597        POST_NAME = auto()
    +1598        POST_SCHEMA = auto()
    +1599        POST_WITH = auto()
    +1600        POST_ALIAS = auto()
    +1601        POST_EXPRESSION = auto()
    +1602        POST_INDEX = auto()
    +1603        UNSUPPORTED = auto()
    +1604
    +1605    @classmethod
    +1606    def from_dict(cls, properties_dict) -> Properties:
    +1607        expressions = []
    +1608        for key, value in properties_dict.items():
    +1609            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
    +1610            if property_cls:
    +1611                expressions.append(property_cls(this=convert(value)))
    +1612            else:
    +1613                expressions.append(Property(this=Literal.string(key), value=convert(value)))
    +1614
    +1615        return cls(expressions=expressions)
     
    @@ -18230,17 +18584,17 @@ Otherwise, this resets the expression.
    -
    1584    @classmethod
    -1585    def from_dict(cls, properties_dict) -> Properties:
    -1586        expressions = []
    -1587        for key, value in properties_dict.items():
    -1588            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
    -1589            if property_cls:
    -1590                expressions.append(property_cls(this=convert(value)))
    -1591            else:
    -1592                expressions.append(Property(this=Literal.string(key), value=convert(value)))
    -1593
    -1594        return cls(expressions=expressions)
    +            
    1605    @classmethod
    +1606    def from_dict(cls, properties_dict) -> Properties:
    +1607        expressions = []
    +1608        for key, value in properties_dict.items():
    +1609            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
    +1610            if property_cls:
    +1611                expressions.append(property_cls(this=convert(value)))
    +1612            else:
    +1613                expressions.append(Property(this=Literal.string(key), value=convert(value)))
    +1614
    +1615        return cls(expressions=expressions)
     
    @@ -18270,6 +18624,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18301,15 +18656,15 @@ Otherwise, this resets the expression.
    -
    1574    class Location(AutoName):
    -1575        POST_CREATE = auto()
    -1576        POST_NAME = auto()
    -1577        POST_SCHEMA = auto()
    -1578        POST_WITH = auto()
    -1579        POST_ALIAS = auto()
    -1580        POST_EXPRESSION = auto()
    -1581        POST_INDEX = auto()
    -1582        UNSUPPORTED = auto()
    +            
    1595    class Location(AutoName):
    +1596        POST_CREATE = auto()
    +1597        POST_NAME = auto()
    +1598        POST_SCHEMA = auto()
    +1599        POST_WITH = auto()
    +1600        POST_ALIAS = auto()
    +1601        POST_EXPRESSION = auto()
    +1602        POST_INDEX = auto()
    +1603        UNSUPPORTED = auto()
     
    @@ -18435,8 +18790,8 @@ Otherwise, this resets the expression.
    -
    1597class Qualify(Expression):
    -1598    pass
    +            
    1618class Qualify(Expression):
    +1619    pass
     
    @@ -18465,6 +18820,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18496,8 +18852,8 @@ Otherwise, this resets the expression.
    -
    1602class Return(Expression):
    -1603    pass
    +            
    1623class Return(Expression):
    +1624    pass
     
    @@ -18526,6 +18882,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18557,8 +18914,8 @@ Otherwise, this resets the expression.
    -
    1606class Reference(Expression):
    -1607    arg_types = {"this": True, "expressions": False, "options": False}
    +            
    1627class Reference(Expression):
    +1628    arg_types = {"this": True, "expressions": False, "options": False}
     
    @@ -18587,6 +18944,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18618,8 +18976,8 @@ Otherwise, this resets the expression.
    -
    1610class Tuple(Expression):
    -1611    arg_types = {"expressions": False}
    +            
    1631class Tuple(Expression):
    +1632    arg_types = {"expressions": False}
     
    @@ -18648,6 +19006,7 @@ Otherwise, this resets the expression.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -18679,103 +19038,103 @@ Otherwise, this resets the expression.
    -
    1614class Subqueryable(Unionable):
    -1615    def subquery(self, alias=None, copy=True) -> Subquery:
    -1616        """
    -1617        Convert this expression to an aliased expression that can be used as a Subquery.
    -1618
    -1619        Example:
    -1620            >>> subquery = Select().select("x").from_("tbl").subquery()
    -1621            >>> Select().select("x").from_(subquery).sql()
    -1622            'SELECT x FROM (SELECT x FROM tbl)'
    -1623
    -1624        Args:
    -1625            alias (str | Identifier): an optional alias for the subquery
    -1626            copy (bool): if `False`, modify this expression instance in-place.
    -1627
    -1628        Returns:
    -1629            Alias: the subquery
    -1630        """
    -1631        instance = _maybe_copy(self, copy)
    -1632        return Subquery(
    -1633            this=instance,
    -1634            alias=TableAlias(this=to_identifier(alias)),
    -1635        )
    -1636
    -1637    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -1638        raise NotImplementedError
    +            
    1635class Subqueryable(Unionable):
    +1636    def subquery(self, alias=None, copy=True) -> Subquery:
    +1637        """
    +1638        Convert this expression to an aliased expression that can be used as a Subquery.
     1639
    -1640    @property
    -1641    def ctes(self):
    -1642        with_ = self.args.get("with")
    -1643        if not with_:
    -1644            return []
    -1645        return with_.expressions
    -1646
    -1647    @property
    -1648    def selects(self):
    -1649        raise NotImplementedError("Subqueryable objects must implement `selects`")
    -1650
    -1651    @property
    -1652    def named_selects(self):
    -1653        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
    -1654
    -1655    def with_(
    -1656        self,
    -1657        alias,
    -1658        as_,
    -1659        recursive=None,
    -1660        append=True,
    -1661        dialect=None,
    -1662        copy=True,
    -1663        **opts,
    -1664    ):
    -1665        """
    -1666        Append to or set the common table expressions.
    +1640        Example:
    +1641            >>> subquery = Select().select("x").from_("tbl").subquery()
    +1642            >>> Select().select("x").from_(subquery).sql()
    +1643            'SELECT x FROM (SELECT x FROM tbl)'
    +1644
    +1645        Args:
    +1646            alias (str | Identifier): an optional alias for the subquery
    +1647            copy (bool): if `False`, modify this expression instance in-place.
    +1648
    +1649        Returns:
    +1650            Alias: the subquery
    +1651        """
    +1652        instance = _maybe_copy(self, copy)
    +1653        return Subquery(
    +1654            this=instance,
    +1655            alias=TableAlias(this=to_identifier(alias)),
    +1656        )
    +1657
    +1658    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +1659        raise NotImplementedError
    +1660
    +1661    @property
    +1662    def ctes(self):
    +1663        with_ = self.args.get("with")
    +1664        if not with_:
    +1665            return []
    +1666        return with_.expressions
     1667
    -1668        Example:
    -1669            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
    -1670            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
    +1668    @property
    +1669    def selects(self):
    +1670        raise NotImplementedError("Subqueryable objects must implement `selects`")
     1671
    -1672        Args:
    -1673            alias (str | Expression): the SQL code string to parse as the table name.
    -1674                If an `Expression` instance is passed, this is used as-is.
    -1675            as_ (str | Expression): the SQL code string to parse as the table expression.
    -1676                If an `Expression` instance is passed, it will be used as-is.
    -1677            recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`.
    -1678            append (bool): if `True`, add to any existing expressions.
    -1679                Otherwise, this resets the expressions.
    -1680            dialect (str): the dialect used to parse the input expression.
    -1681            copy (bool): if `False`, modify this expression instance in-place.
    -1682            opts (kwargs): other options to use to parse the input expressions.
    -1683
    -1684        Returns:
    -1685            Select: the modified expression.
    -1686        """
    -1687        alias_expression = maybe_parse(
    -1688            alias,
    -1689            dialect=dialect,
    -1690            into=TableAlias,
    -1691            **opts,
    -1692        )
    -1693        as_expression = maybe_parse(
    -1694            as_,
    -1695            dialect=dialect,
    -1696            **opts,
    -1697        )
    -1698        cte = CTE(
    -1699            this=as_expression,
    -1700            alias=alias_expression,
    -1701        )
    -1702        return _apply_child_list_builder(
    -1703            cte,
    -1704            instance=self,
    -1705            arg="with",
    -1706            append=append,
    -1707            copy=copy,
    -1708            into=With,
    -1709            properties={"recursive": recursive or False},
    -1710        )
    +1672    @property
    +1673    def named_selects(self):
    +1674        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
    +1675
    +1676    def with_(
    +1677        self,
    +1678        alias,
    +1679        as_,
    +1680        recursive=None,
    +1681        append=True,
    +1682        dialect=None,
    +1683        copy=True,
    +1684        **opts,
    +1685    ):
    +1686        """
    +1687        Append to or set the common table expressions.
    +1688
    +1689        Example:
    +1690            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
    +1691            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
    +1692
    +1693        Args:
    +1694            alias (str | Expression): the SQL code string to parse as the table name.
    +1695                If an `Expression` instance is passed, this is used as-is.
    +1696            as_ (str | Expression): the SQL code string to parse as the table expression.
    +1697                If an `Expression` instance is passed, it will be used as-is.
    +1698            recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`.
    +1699            append (bool): if `True`, add to any existing expressions.
    +1700                Otherwise, this resets the expressions.
    +1701            dialect (str): the dialect used to parse the input expression.
    +1702            copy (bool): if `False`, modify this expression instance in-place.
    +1703            opts (kwargs): other options to use to parse the input expressions.
    +1704
    +1705        Returns:
    +1706            Select: the modified expression.
    +1707        """
    +1708        alias_expression = maybe_parse(
    +1709            alias,
    +1710            dialect=dialect,
    +1711            into=TableAlias,
    +1712            **opts,
    +1713        )
    +1714        as_expression = maybe_parse(
    +1715            as_,
    +1716            dialect=dialect,
    +1717            **opts,
    +1718        )
    +1719        cte = CTE(
    +1720            this=as_expression,
    +1721            alias=alias_expression,
    +1722        )
    +1723        return _apply_child_list_builder(
    +1724            cte,
    +1725            instance=self,
    +1726            arg="with",
    +1727            append=append,
    +1728            copy=copy,
    +1729            into=With,
    +1730            properties={"recursive": recursive or False},
    +1731        )
     
    @@ -18792,27 +19151,27 @@ Otherwise, this resets the expression.
    -
    1615    def subquery(self, alias=None, copy=True) -> Subquery:
    -1616        """
    -1617        Convert this expression to an aliased expression that can be used as a Subquery.
    -1618
    -1619        Example:
    -1620            >>> subquery = Select().select("x").from_("tbl").subquery()
    -1621            >>> Select().select("x").from_(subquery).sql()
    -1622            'SELECT x FROM (SELECT x FROM tbl)'
    -1623
    -1624        Args:
    -1625            alias (str | Identifier): an optional alias for the subquery
    -1626            copy (bool): if `False`, modify this expression instance in-place.
    -1627
    -1628        Returns:
    -1629            Alias: the subquery
    -1630        """
    -1631        instance = _maybe_copy(self, copy)
    -1632        return Subquery(
    -1633            this=instance,
    -1634            alias=TableAlias(this=to_identifier(alias)),
    -1635        )
    +            
    1636    def subquery(self, alias=None, copy=True) -> Subquery:
    +1637        """
    +1638        Convert this expression to an aliased expression that can be used as a Subquery.
    +1639
    +1640        Example:
    +1641            >>> subquery = Select().select("x").from_("tbl").subquery()
    +1642            >>> Select().select("x").from_(subquery).sql()
    +1643            'SELECT x FROM (SELECT x FROM tbl)'
    +1644
    +1645        Args:
    +1646            alias (str | Identifier): an optional alias for the subquery
    +1647            copy (bool): if `False`, modify this expression instance in-place.
    +1648
    +1649        Returns:
    +1650            Alias: the subquery
    +1651        """
    +1652        instance = _maybe_copy(self, copy)
    +1653        return Subquery(
    +1654            this=instance,
    +1655            alias=TableAlias(this=to_identifier(alias)),
    +1656        )
     
    @@ -18856,8 +19215,8 @@ Otherwise, this resets the expression.
    -
    1637    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -1638        raise NotImplementedError
    +            
    1658    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +1659        raise NotImplementedError
     
    @@ -18875,62 +19234,62 @@ Otherwise, this resets the expression.
    -
    1655    def with_(
    -1656        self,
    -1657        alias,
    -1658        as_,
    -1659        recursive=None,
    -1660        append=True,
    -1661        dialect=None,
    -1662        copy=True,
    -1663        **opts,
    -1664    ):
    -1665        """
    -1666        Append to or set the common table expressions.
    -1667
    -1668        Example:
    -1669            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
    -1670            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
    -1671
    -1672        Args:
    -1673            alias (str | Expression): the SQL code string to parse as the table name.
    -1674                If an `Expression` instance is passed, this is used as-is.
    -1675            as_ (str | Expression): the SQL code string to parse as the table expression.
    -1676                If an `Expression` instance is passed, it will be used as-is.
    -1677            recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`.
    -1678            append (bool): if `True`, add to any existing expressions.
    -1679                Otherwise, this resets the expressions.
    -1680            dialect (str): the dialect used to parse the input expression.
    -1681            copy (bool): if `False`, modify this expression instance in-place.
    -1682            opts (kwargs): other options to use to parse the input expressions.
    -1683
    -1684        Returns:
    -1685            Select: the modified expression.
    -1686        """
    -1687        alias_expression = maybe_parse(
    -1688            alias,
    -1689            dialect=dialect,
    -1690            into=TableAlias,
    -1691            **opts,
    -1692        )
    -1693        as_expression = maybe_parse(
    -1694            as_,
    -1695            dialect=dialect,
    -1696            **opts,
    -1697        )
    -1698        cte = CTE(
    -1699            this=as_expression,
    -1700            alias=alias_expression,
    -1701        )
    -1702        return _apply_child_list_builder(
    -1703            cte,
    -1704            instance=self,
    -1705            arg="with",
    -1706            append=append,
    -1707            copy=copy,
    -1708            into=With,
    -1709            properties={"recursive": recursive or False},
    -1710        )
    +            
    1676    def with_(
    +1677        self,
    +1678        alias,
    +1679        as_,
    +1680        recursive=None,
    +1681        append=True,
    +1682        dialect=None,
    +1683        copy=True,
    +1684        **opts,
    +1685    ):
    +1686        """
    +1687        Append to or set the common table expressions.
    +1688
    +1689        Example:
    +1690            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
    +1691            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
    +1692
    +1693        Args:
    +1694            alias (str | Expression): the SQL code string to parse as the table name.
    +1695                If an `Expression` instance is passed, this is used as-is.
    +1696            as_ (str | Expression): the SQL code string to parse as the table expression.
    +1697                If an `Expression` instance is passed, it will be used as-is.
    +1698            recursive (bool): set the RECURSIVE part of the expression. Defaults to `False`.
    +1699            append (bool): if `True`, add to any existing expressions.
    +1700                Otherwise, this resets the expressions.
    +1701            dialect (str): the dialect used to parse the input expression.
    +1702            copy (bool): if `False`, modify this expression instance in-place.
    +1703            opts (kwargs): other options to use to parse the input expressions.
    +1704
    +1705        Returns:
    +1706            Select: the modified expression.
    +1707        """
    +1708        alias_expression = maybe_parse(
    +1709            alias,
    +1710            dialect=dialect,
    +1711            into=TableAlias,
    +1712            **opts,
    +1713        )
    +1714        as_expression = maybe_parse(
    +1715            as_,
    +1716            dialect=dialect,
    +1717            **opts,
    +1718        )
    +1719        cte = CTE(
    +1720            this=as_expression,
    +1721            alias=alias_expression,
    +1722        )
    +1723        return _apply_child_list_builder(
    +1724            cte,
    +1725            instance=self,
    +1726            arg="with",
    +1727            append=append,
    +1728            copy=copy,
    +1729            into=With,
    +1730            properties={"recursive": recursive or False},
    +1731        )
     
    @@ -18993,6 +19352,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19030,26 +19390,26 @@ Otherwise, this resets the expressions.
    -
    1733class Table(Expression):
    -1734    arg_types = {
    -1735        "this": True,
    -1736        "alias": False,
    -1737        "db": False,
    -1738        "catalog": False,
    -1739        "laterals": False,
    -1740        "joins": False,
    -1741        "pivots": False,
    -1742        "hints": False,
    -1743        "system_time": False,
    -1744    }
    -1745
    -1746    @property
    -1747    def db(self) -> str:
    -1748        return self.text("db")
    -1749
    -1750    @property
    -1751    def catalog(self) -> str:
    -1752        return self.text("catalog")
    +            
    1754class Table(Expression):
    +1755    arg_types = {
    +1756        "this": True,
    +1757        "alias": False,
    +1758        "db": False,
    +1759        "catalog": False,
    +1760        "laterals": False,
    +1761        "joins": False,
    +1762        "pivots": False,
    +1763        "hints": False,
    +1764        "system_time": False,
    +1765    }
    +1766
    +1767    @property
    +1768    def db(self) -> str:
    +1769        return self.text("db")
    +1770
    +1771    @property
    +1772    def catalog(self) -> str:
    +1773        return self.text("catalog")
     
    @@ -19078,6 +19438,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19109,12 +19470,12 @@ Otherwise, this resets the expressions.
    -
    1756class SystemTime(Expression):
    -1757    arg_types = {
    -1758        "this": False,
    -1759        "expression": False,
    -1760        "kind": True,
    -1761    }
    +            
    1777class SystemTime(Expression):
    +1778    arg_types = {
    +1779        "this": False,
    +1780        "expression": False,
    +1781        "kind": True,
    +1782    }
     
    @@ -19143,6 +19504,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19174,94 +19536,94 @@ Otherwise, this resets the expressions.
    -
    1764class Union(Subqueryable):
    -1765    arg_types = {
    -1766        "with": False,
    -1767        "this": True,
    -1768        "expression": True,
    -1769        "distinct": False,
    -1770        **QUERY_MODIFIERS,
    -1771    }
    -1772
    -1773    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -1774        """
    -1775        Set the LIMIT expression.
    -1776
    -1777        Example:
    -1778            >>> select("1").union(select("1")).limit(1).sql()
    -1779            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
    -1780
    -1781        Args:
    -1782            expression (str | int | Expression): the SQL code string to parse.
    -1783                This can also be an integer.
    -1784                If a `Limit` instance is passed, this is used as-is.
    -1785                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    -1786            dialect (str): the dialect used to parse the input expression.
    -1787            copy (bool): if `False`, modify this expression instance in-place.
    -1788            opts (kwargs): other options to use to parse the input expressions.
    -1789
    -1790        Returns:
    -1791            Select: The limited subqueryable.
    -1792        """
    -1793        return (
    -1794            select("*")
    -1795            .from_(self.subquery(alias="_l_0", copy=copy))
    -1796            .limit(expression, dialect=dialect, copy=False, **opts)
    -1797        )
    -1798
    -1799    def select(
    -1800        self,
    -1801        *expressions: str | Expression,
    -1802        append: bool = True,
    -1803        dialect: DialectType = None,
    -1804        copy: bool = True,
    -1805        **opts,
    -1806    ) -> Union:
    -1807        """Append to or set the SELECT of the union recursively.
    -1808
    -1809        Example:
    -1810            >>> from sqlglot import parse_one
    -1811            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
    -1812            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
    -1813
    -1814        Args:
    -1815            *expressions: the SQL code strings to parse.
    -1816                If an `Expression` instance is passed, it will be used as-is.
    -1817            append: if `True`, add to any existing expressions.
    -1818                Otherwise, this resets the expressions.
    -1819            dialect: the dialect used to parse the input expressions.
    -1820            copy: if `False`, modify this expression instance in-place.
    -1821            opts: other options to use to parse the input expressions.
    -1822
    -1823        Returns:
    -1824            Union: the modified expression.
    -1825        """
    -1826        this = self.copy() if copy else self
    -1827        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
    -1828        this.expression.unnest().select(
    -1829            *expressions, append=append, dialect=dialect, copy=False, **opts
    -1830        )
    -1831        return this
    -1832
    -1833    @property
    -1834    def named_selects(self):
    -1835        return self.this.unnest().named_selects
    -1836
    -1837    @property
    -1838    def is_star(self) -> bool:
    -1839        return self.this.is_star or self.expression.is_star
    -1840
    -1841    @property
    -1842    def selects(self):
    -1843        return self.this.unnest().selects
    -1844
    -1845    @property
    -1846    def left(self):
    -1847        return self.this
    -1848
    -1849    @property
    -1850    def right(self):
    -1851        return self.expression
    +            
    1785class Union(Subqueryable):
    +1786    arg_types = {
    +1787        "with": False,
    +1788        "this": True,
    +1789        "expression": True,
    +1790        "distinct": False,
    +1791        **QUERY_MODIFIERS,
    +1792    }
    +1793
    +1794    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +1795        """
    +1796        Set the LIMIT expression.
    +1797
    +1798        Example:
    +1799            >>> select("1").union(select("1")).limit(1).sql()
    +1800            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
    +1801
    +1802        Args:
    +1803            expression (str | int | Expression): the SQL code string to parse.
    +1804                This can also be an integer.
    +1805                If a `Limit` instance is passed, this is used as-is.
    +1806                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    +1807            dialect (str): the dialect used to parse the input expression.
    +1808            copy (bool): if `False`, modify this expression instance in-place.
    +1809            opts (kwargs): other options to use to parse the input expressions.
    +1810
    +1811        Returns:
    +1812            Select: The limited subqueryable.
    +1813        """
    +1814        return (
    +1815            select("*")
    +1816            .from_(self.subquery(alias="_l_0", copy=copy))
    +1817            .limit(expression, dialect=dialect, copy=False, **opts)
    +1818        )
    +1819
    +1820    def select(
    +1821        self,
    +1822        *expressions: str | Expression,
    +1823        append: bool = True,
    +1824        dialect: DialectType = None,
    +1825        copy: bool = True,
    +1826        **opts,
    +1827    ) -> Union:
    +1828        """Append to or set the SELECT of the union recursively.
    +1829
    +1830        Example:
    +1831            >>> from sqlglot import parse_one
    +1832            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
    +1833            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
    +1834
    +1835        Args:
    +1836            *expressions: the SQL code strings to parse.
    +1837                If an `Expression` instance is passed, it will be used as-is.
    +1838            append: if `True`, add to any existing expressions.
    +1839                Otherwise, this resets the expressions.
    +1840            dialect: the dialect used to parse the input expressions.
    +1841            copy: if `False`, modify this expression instance in-place.
    +1842            opts: other options to use to parse the input expressions.
    +1843
    +1844        Returns:
    +1845            Union: the modified expression.
    +1846        """
    +1847        this = self.copy() if copy else self
    +1848        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
    +1849        this.expression.unnest().select(
    +1850            *expressions, append=append, dialect=dialect, copy=False, **opts
    +1851        )
    +1852        return this
    +1853
    +1854    @property
    +1855    def named_selects(self):
    +1856        return self.this.unnest().named_selects
    +1857
    +1858    @property
    +1859    def is_star(self) -> bool:
    +1860        return self.this.is_star or self.expression.is_star
    +1861
    +1862    @property
    +1863    def selects(self):
    +1864        return self.this.unnest().selects
    +1865
    +1866    @property
    +1867    def left(self):
    +1868        return self.this
    +1869
    +1870    @property
    +1871    def right(self):
    +1872        return self.expression
     
    @@ -19278,31 +19640,31 @@ Otherwise, this resets the expressions.
    -
    1773    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -1774        """
    -1775        Set the LIMIT expression.
    -1776
    -1777        Example:
    -1778            >>> select("1").union(select("1")).limit(1).sql()
    -1779            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
    -1780
    -1781        Args:
    -1782            expression (str | int | Expression): the SQL code string to parse.
    -1783                This can also be an integer.
    -1784                If a `Limit` instance is passed, this is used as-is.
    -1785                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    -1786            dialect (str): the dialect used to parse the input expression.
    -1787            copy (bool): if `False`, modify this expression instance in-place.
    -1788            opts (kwargs): other options to use to parse the input expressions.
    -1789
    -1790        Returns:
    -1791            Select: The limited subqueryable.
    -1792        """
    -1793        return (
    -1794            select("*")
    -1795            .from_(self.subquery(alias="_l_0", copy=copy))
    -1796            .limit(expression, dialect=dialect, copy=False, **opts)
    -1797        )
    +            
    1794    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +1795        """
    +1796        Set the LIMIT expression.
    +1797
    +1798        Example:
    +1799            >>> select("1").union(select("1")).limit(1).sql()
    +1800            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
    +1801
    +1802        Args:
    +1803            expression (str | int | Expression): the SQL code string to parse.
    +1804                This can also be an integer.
    +1805                If a `Limit` instance is passed, this is used as-is.
    +1806                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    +1807            dialect (str): the dialect used to parse the input expression.
    +1808            copy (bool): if `False`, modify this expression instance in-place.
    +1809            opts (kwargs): other options to use to parse the input expressions.
    +1810
    +1811        Returns:
    +1812            Select: The limited subqueryable.
    +1813        """
    +1814        return (
    +1815            select("*")
    +1816            .from_(self.subquery(alias="_l_0", copy=copy))
    +1817            .limit(expression, dialect=dialect, copy=False, **opts)
    +1818        )
     
    @@ -19350,39 +19712,39 @@ If another Expression instance is passed,
    -
    1799    def select(
    -1800        self,
    -1801        *expressions: str | Expression,
    -1802        append: bool = True,
    -1803        dialect: DialectType = None,
    -1804        copy: bool = True,
    -1805        **opts,
    -1806    ) -> Union:
    -1807        """Append to or set the SELECT of the union recursively.
    -1808
    -1809        Example:
    -1810            >>> from sqlglot import parse_one
    -1811            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
    -1812            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
    -1813
    -1814        Args:
    -1815            *expressions: the SQL code strings to parse.
    -1816                If an `Expression` instance is passed, it will be used as-is.
    -1817            append: if `True`, add to any existing expressions.
    -1818                Otherwise, this resets the expressions.
    -1819            dialect: the dialect used to parse the input expressions.
    -1820            copy: if `False`, modify this expression instance in-place.
    -1821            opts: other options to use to parse the input expressions.
    -1822
    -1823        Returns:
    -1824            Union: the modified expression.
    -1825        """
    -1826        this = self.copy() if copy else self
    -1827        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
    -1828        this.expression.unnest().select(
    -1829            *expressions, append=append, dialect=dialect, copy=False, **opts
    -1830        )
    -1831        return this
    +            
    1820    def select(
    +1821        self,
    +1822        *expressions: str | Expression,
    +1823        append: bool = True,
    +1824        dialect: DialectType = None,
    +1825        copy: bool = True,
    +1826        **opts,
    +1827    ) -> Union:
    +1828        """Append to or set the SELECT of the union recursively.
    +1829
    +1830        Example:
    +1831            >>> from sqlglot import parse_one
    +1832            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
    +1833            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
    +1834
    +1835        Args:
    +1836            *expressions: the SQL code strings to parse.
    +1837                If an `Expression` instance is passed, it will be used as-is.
    +1838            append: if `True`, add to any existing expressions.
    +1839                Otherwise, this resets the expressions.
    +1840            dialect: the dialect used to parse the input expressions.
    +1841            copy: if `False`, modify this expression instance in-place.
    +1842            opts: other options to use to parse the input expressions.
    +1843
    +1844        Returns:
    +1845            Union: the modified expression.
    +1846        """
    +1847        this = self.copy() if copy else self
    +1848        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
    +1849        this.expression.unnest().select(
    +1850            *expressions, append=append, dialect=dialect, copy=False, **opts
    +1851        )
    +1852        return this
     
    @@ -19455,6 +19817,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19497,8 +19860,8 @@ Otherwise, this resets the expressions.
    -
    1854class Except(Union):
    -1855    pass
    +            
    1875class Except(Union):
    +1876    pass
     
    @@ -19526,6 +19889,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19574,8 +19938,8 @@ Otherwise, this resets the expressions.
    -
    1858class Intersect(Union):
    -1859    pass
    +            
    1879class Intersect(Union):
    +1880    pass
     
    @@ -19603,6 +19967,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19651,13 +20016,13 @@ Otherwise, this resets the expressions.
    -
    1862class Unnest(UDTF):
    -1863    arg_types = {
    -1864        "expressions": True,
    -1865        "ordinality": False,
    -1866        "alias": False,
    -1867        "offset": False,
    -1868    }
    +            
    1883class Unnest(UDTF):
    +1884    arg_types = {
    +1885        "expressions": True,
    +1886        "ordinality": False,
    +1887        "alias": False,
    +1888        "offset": False,
    +1889    }
     
    @@ -19686,6 +20051,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19723,14 +20089,14 @@ Otherwise, this resets the expressions.
    -
    1871class Update(Expression):
    -1872    arg_types = {
    -1873        "with": False,
    -1874        "this": False,
    -1875        "expressions": True,
    -1876        "from": False,
    -1877        "where": False,
    -1878    }
    +            
    1892class Update(Expression):
    +1893    arg_types = {
    +1894        "with": False,
    +1895        "this": False,
    +1896        "expressions": True,
    +1897        "from": False,
    +1898        "where": False,
    +1899    }
     
    @@ -19759,6 +20125,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19790,12 +20157,12 @@ Otherwise, this resets the expressions.
    -
    1881class Values(UDTF):
    -1882    arg_types = {
    -1883        "expressions": True,
    -1884        "ordinality": False,
    -1885        "alias": False,
    -1886    }
    +            
    1902class Values(UDTF):
    +1903    arg_types = {
    +1904        "expressions": True,
    +1905        "ordinality": False,
    +1906        "alias": False,
    +1907    }
     
    @@ -19824,6 +20191,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19861,8 +20229,8 @@ Otherwise, this resets the expressions.
    -
    1889class Var(Expression):
    -1890    pass
    +            
    1910class Var(Expression):
    +1911    pass
     
    @@ -19891,6 +20259,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19922,8 +20291,8 @@ Otherwise, this resets the expressions.
    -
    1893class Schema(Expression):
    -1894    arg_types = {"this": False, "expressions": False}
    +            
    1914class Schema(Expression):
    +1915    arg_types = {"this": False, "expressions": False}
     
    @@ -19952,6 +20321,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -19983,8 +20353,8 @@ Otherwise, this resets the expressions.
    -
    1899class Lock(Expression):
    -1900    arg_types = {"update": True}
    +            
    1920class Lock(Expression):
    +1921    arg_types = {"update": True}
     
    @@ -20013,6 +20383,7 @@ Otherwise, this resets the expressions.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -20044,578 +20415,578 @@ Otherwise, this resets the expressions.
    -
    1903class Select(Subqueryable):
    -1904    arg_types = {
    -1905        "with": False,
    -1906        "expressions": False,
    -1907        "hint": False,
    -1908        "distinct": False,
    -1909        "into": False,
    -1910        "from": False,
    -1911        **QUERY_MODIFIERS,
    -1912    }
    -1913
    -1914    def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1915        """
    -1916        Set the FROM expression.
    -1917
    -1918        Example:
    -1919            >>> Select().from_("tbl").select("x").sql()
    -1920            'SELECT x FROM tbl'
    -1921
    -1922        Args:
    -1923            *expressions (str | Expression): the SQL code strings to parse.
    -1924                If a `From` instance is passed, this is used as-is.
    -1925                If another `Expression` instance is passed, it will be wrapped in a `From`.
    -1926            append (bool): if `True`, add to any existing expressions.
    -1927                Otherwise, this flattens all the `From` expression into a single expression.
    -1928            dialect (str): the dialect used to parse the input expression.
    -1929            copy (bool): if `False`, modify this expression instance in-place.
    -1930            opts (kwargs): other options to use to parse the input expressions.
    -1931
    -1932        Returns:
    -1933            Select: the modified expression.
    -1934        """
    -1935        return _apply_child_list_builder(
    -1936            *expressions,
    -1937            instance=self,
    -1938            arg="from",
    -1939            append=append,
    -1940            copy=copy,
    -1941            prefix="FROM",
    -1942            into=From,
    -1943            dialect=dialect,
    -1944            **opts,
    -1945        )
    -1946
    -1947    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1948        """
    -1949        Set the GROUP BY expression.
    -1950
    -1951        Example:
    -1952            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
    -1953            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
    -1954
    -1955        Args:
    -1956            *expressions (str | Expression): the SQL code strings to parse.
    -1957                If a `Group` instance is passed, this is used as-is.
    -1958                If another `Expression` instance is passed, it will be wrapped in a `Group`.
    -1959                If nothing is passed in then a group by is not applied to the expression
    -1960            append (bool): if `True`, add to any existing expressions.
    -1961                Otherwise, this flattens all the `Group` expression into a single expression.
    -1962            dialect (str): the dialect used to parse the input expression.
    -1963            copy (bool): if `False`, modify this expression instance in-place.
    -1964            opts (kwargs): other options to use to parse the input expressions.
    -1965
    -1966        Returns:
    -1967            Select: the modified expression.
    -1968        """
    -1969        if not expressions:
    -1970            return self if not copy else self.copy()
    -1971        return _apply_child_list_builder(
    -1972            *expressions,
    -1973            instance=self,
    -1974            arg="group",
    -1975            append=append,
    -1976            copy=copy,
    -1977            prefix="GROUP BY",
    -1978            into=Group,
    -1979            dialect=dialect,
    -1980            **opts,
    -1981        )
    -1982
    -1983    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1984        """
    -1985        Set the ORDER BY expression.
    +            
    1924class Select(Subqueryable):
    +1925    arg_types = {
    +1926        "with": False,
    +1927        "expressions": False,
    +1928        "hint": False,
    +1929        "distinct": False,
    +1930        "into": False,
    +1931        "from": False,
    +1932        **QUERY_MODIFIERS,
    +1933    }
    +1934
    +1935    def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +1936        """
    +1937        Set the FROM expression.
    +1938
    +1939        Example:
    +1940            >>> Select().from_("tbl").select("x").sql()
    +1941            'SELECT x FROM tbl'
    +1942
    +1943        Args:
    +1944            *expressions (str | Expression): the SQL code strings to parse.
    +1945                If a `From` instance is passed, this is used as-is.
    +1946                If another `Expression` instance is passed, it will be wrapped in a `From`.
    +1947            append (bool): if `True`, add to any existing expressions.
    +1948                Otherwise, this flattens all the `From` expression into a single expression.
    +1949            dialect (str): the dialect used to parse the input expression.
    +1950            copy (bool): if `False`, modify this expression instance in-place.
    +1951            opts (kwargs): other options to use to parse the input expressions.
    +1952
    +1953        Returns:
    +1954            Select: the modified expression.
    +1955        """
    +1956        return _apply_child_list_builder(
    +1957            *expressions,
    +1958            instance=self,
    +1959            arg="from",
    +1960            append=append,
    +1961            copy=copy,
    +1962            prefix="FROM",
    +1963            into=From,
    +1964            dialect=dialect,
    +1965            **opts,
    +1966        )
    +1967
    +1968    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +1969        """
    +1970        Set the GROUP BY expression.
    +1971
    +1972        Example:
    +1973            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
    +1974            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
    +1975
    +1976        Args:
    +1977            *expressions (str | Expression): the SQL code strings to parse.
    +1978                If a `Group` instance is passed, this is used as-is.
    +1979                If another `Expression` instance is passed, it will be wrapped in a `Group`.
    +1980                If nothing is passed in then a group by is not applied to the expression
    +1981            append (bool): if `True`, add to any existing expressions.
    +1982                Otherwise, this flattens all the `Group` expression into a single expression.
    +1983            dialect (str): the dialect used to parse the input expression.
    +1984            copy (bool): if `False`, modify this expression instance in-place.
    +1985            opts (kwargs): other options to use to parse the input expressions.
     1986
    -1987        Example:
    -1988            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
    -1989            'SELECT x FROM tbl ORDER BY x DESC'
    -1990
    -1991        Args:
    -1992            *expressions (str | Expression): the SQL code strings to parse.
    -1993                If a `Group` instance is passed, this is used as-is.
    -1994                If another `Expression` instance is passed, it will be wrapped in a `Order`.
    -1995            append (bool): if `True`, add to any existing expressions.
    -1996                Otherwise, this flattens all the `Order` expression into a single expression.
    -1997            dialect (str): the dialect used to parse the input expression.
    -1998            copy (bool): if `False`, modify this expression instance in-place.
    -1999            opts (kwargs): other options to use to parse the input expressions.
    -2000
    -2001        Returns:
    -2002            Select: the modified expression.
    -2003        """
    -2004        return _apply_child_list_builder(
    -2005            *expressions,
    -2006            instance=self,
    -2007            arg="order",
    -2008            append=append,
    -2009            copy=copy,
    -2010            prefix="ORDER BY",
    -2011            into=Order,
    -2012            dialect=dialect,
    -2013            **opts,
    -2014        )
    -2015
    -2016    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2017        """
    -2018        Set the SORT BY expression.
    -2019
    -2020        Example:
    -2021            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql()
    -2022            'SELECT x FROM tbl SORT BY x DESC'
    -2023
    -2024        Args:
    -2025            *expressions (str | Expression): the SQL code strings to parse.
    -2026                If a `Group` instance is passed, this is used as-is.
    -2027                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
    -2028            append (bool): if `True`, add to any existing expressions.
    -2029                Otherwise, this flattens all the `Order` expression into a single expression.
    -2030            dialect (str): the dialect used to parse the input expression.
    -2031            copy (bool): if `False`, modify this expression instance in-place.
    -2032            opts (kwargs): other options to use to parse the input expressions.
    -2033
    -2034        Returns:
    -2035            Select: the modified expression.
    -2036        """
    -2037        return _apply_child_list_builder(
    -2038            *expressions,
    -2039            instance=self,
    -2040            arg="sort",
    -2041            append=append,
    -2042            copy=copy,
    -2043            prefix="SORT BY",
    -2044            into=Sort,
    -2045            dialect=dialect,
    -2046            **opts,
    -2047        )
    -2048
    -2049    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2050        """
    -2051        Set the CLUSTER BY expression.
    -2052
    -2053        Example:
    -2054            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()
    -2055            'SELECT x FROM tbl CLUSTER BY x DESC'
    -2056
    -2057        Args:
    -2058            *expressions (str | Expression): the SQL code strings to parse.
    -2059                If a `Group` instance is passed, this is used as-is.
    -2060                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
    -2061            append (bool): if `True`, add to any existing expressions.
    -2062                Otherwise, this flattens all the `Order` expression into a single expression.
    -2063            dialect (str): the dialect used to parse the input expression.
    -2064            copy (bool): if `False`, modify this expression instance in-place.
    -2065            opts (kwargs): other options to use to parse the input expressions.
    -2066
    -2067        Returns:
    -2068            Select: the modified expression.
    -2069        """
    -2070        return _apply_child_list_builder(
    -2071            *expressions,
    -2072            instance=self,
    -2073            arg="cluster",
    -2074            append=append,
    -2075            copy=copy,
    -2076            prefix="CLUSTER BY",
    -2077            into=Cluster,
    -2078            dialect=dialect,
    -2079            **opts,
    -2080        )
    -2081
    -2082    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -2083        """
    -2084        Set the LIMIT expression.
    -2085
    -2086        Example:
    -2087            >>> Select().from_("tbl").select("x").limit(10).sql()
    -2088            'SELECT x FROM tbl LIMIT 10'
    -2089
    -2090        Args:
    -2091            expression (str | int | Expression): the SQL code string to parse.
    -2092                This can also be an integer.
    -2093                If a `Limit` instance is passed, this is used as-is.
    -2094                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    -2095            dialect (str): the dialect used to parse the input expression.
    -2096            copy (bool): if `False`, modify this expression instance in-place.
    -2097            opts (kwargs): other options to use to parse the input expressions.
    -2098
    -2099        Returns:
    -2100            Select: the modified expression.
    -2101        """
    -2102        return _apply_builder(
    -2103            expression=expression,
    -2104            instance=self,
    -2105            arg="limit",
    -2106            into=Limit,
    -2107            prefix="LIMIT",
    -2108            dialect=dialect,
    -2109            copy=copy,
    -2110            **opts,
    -2111        )
    -2112
    -2113    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
    -2114        """
    -2115        Set the OFFSET expression.
    -2116
    -2117        Example:
    -2118            >>> Select().from_("tbl").select("x").offset(10).sql()
    -2119            'SELECT x FROM tbl OFFSET 10'
    -2120
    -2121        Args:
    -2122            expression (str | int | Expression): the SQL code string to parse.
    -2123                This can also be an integer.
    -2124                If a `Offset` instance is passed, this is used as-is.
    -2125                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
    -2126            dialect (str): the dialect used to parse the input expression.
    -2127            copy (bool): if `False`, modify this expression instance in-place.
    -2128            opts (kwargs): other options to use to parse the input expressions.
    -2129
    -2130        Returns:
    -2131            Select: the modified expression.
    -2132        """
    -2133        return _apply_builder(
    -2134            expression=expression,
    -2135            instance=self,
    -2136            arg="offset",
    -2137            into=Offset,
    -2138            prefix="OFFSET",
    -2139            dialect=dialect,
    -2140            copy=copy,
    -2141            **opts,
    -2142        )
    -2143
    -2144    def select(
    -2145        self,
    -2146        *expressions: str | Expression,
    -2147        append: bool = True,
    -2148        dialect: DialectType = None,
    -2149        copy: bool = True,
    -2150        **opts,
    -2151    ) -> Select:
    -2152        """
    -2153        Append to or set the SELECT expressions.
    -2154
    -2155        Example:
    -2156            >>> Select().select("x", "y").sql()
    -2157            'SELECT x, y'
    -2158
    -2159        Args:
    -2160            *expressions: the SQL code strings to parse.
    -2161                If an `Expression` instance is passed, it will be used as-is.
    -2162            append: if `True`, add to any existing expressions.
    -2163                Otherwise, this resets the expressions.
    -2164            dialect: the dialect used to parse the input expressions.
    -2165            copy: if `False`, modify this expression instance in-place.
    -2166            opts: other options to use to parse the input expressions.
    -2167
    -2168        Returns:
    -2169            Select: the modified expression.
    -2170        """
    -2171        return _apply_list_builder(
    -2172            *expressions,
    -2173            instance=self,
    -2174            arg="expressions",
    -2175            append=append,
    -2176            dialect=dialect,
    -2177            copy=copy,
    -2178            **opts,
    -2179        )
    -2180
    -2181    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2182        """
    -2183        Append to or set the LATERAL expressions.
    -2184
    -2185        Example:
    -2186            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
    -2187            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
    +1987        Returns:
    +1988            Select: the modified expression.
    +1989        """
    +1990        if not expressions:
    +1991            return self if not copy else self.copy()
    +1992        return _apply_child_list_builder(
    +1993            *expressions,
    +1994            instance=self,
    +1995            arg="group",
    +1996            append=append,
    +1997            copy=copy,
    +1998            prefix="GROUP BY",
    +1999            into=Group,
    +2000            dialect=dialect,
    +2001            **opts,
    +2002        )
    +2003
    +2004    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2005        """
    +2006        Set the ORDER BY expression.
    +2007
    +2008        Example:
    +2009            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
    +2010            'SELECT x FROM tbl ORDER BY x DESC'
    +2011
    +2012        Args:
    +2013            *expressions (str | Expression): the SQL code strings to parse.
    +2014                If a `Group` instance is passed, this is used as-is.
    +2015                If another `Expression` instance is passed, it will be wrapped in a `Order`.
    +2016            append (bool): if `True`, add to any existing expressions.
    +2017                Otherwise, this flattens all the `Order` expression into a single expression.
    +2018            dialect (str): the dialect used to parse the input expression.
    +2019            copy (bool): if `False`, modify this expression instance in-place.
    +2020            opts (kwargs): other options to use to parse the input expressions.
    +2021
    +2022        Returns:
    +2023            Select: the modified expression.
    +2024        """
    +2025        return _apply_child_list_builder(
    +2026            *expressions,
    +2027            instance=self,
    +2028            arg="order",
    +2029            append=append,
    +2030            copy=copy,
    +2031            prefix="ORDER BY",
    +2032            into=Order,
    +2033            dialect=dialect,
    +2034            **opts,
    +2035        )
    +2036
    +2037    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2038        """
    +2039        Set the SORT BY expression.
    +2040
    +2041        Example:
    +2042            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql()
    +2043            'SELECT x FROM tbl SORT BY x DESC'
    +2044
    +2045        Args:
    +2046            *expressions (str | Expression): the SQL code strings to parse.
    +2047                If a `Group` instance is passed, this is used as-is.
    +2048                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
    +2049            append (bool): if `True`, add to any existing expressions.
    +2050                Otherwise, this flattens all the `Order` expression into a single expression.
    +2051            dialect (str): the dialect used to parse the input expression.
    +2052            copy (bool): if `False`, modify this expression instance in-place.
    +2053            opts (kwargs): other options to use to parse the input expressions.
    +2054
    +2055        Returns:
    +2056            Select: the modified expression.
    +2057        """
    +2058        return _apply_child_list_builder(
    +2059            *expressions,
    +2060            instance=self,
    +2061            arg="sort",
    +2062            append=append,
    +2063            copy=copy,
    +2064            prefix="SORT BY",
    +2065            into=Sort,
    +2066            dialect=dialect,
    +2067            **opts,
    +2068        )
    +2069
    +2070    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2071        """
    +2072        Set the CLUSTER BY expression.
    +2073
    +2074        Example:
    +2075            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()
    +2076            'SELECT x FROM tbl CLUSTER BY x DESC'
    +2077
    +2078        Args:
    +2079            *expressions (str | Expression): the SQL code strings to parse.
    +2080                If a `Group` instance is passed, this is used as-is.
    +2081                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
    +2082            append (bool): if `True`, add to any existing expressions.
    +2083                Otherwise, this flattens all the `Order` expression into a single expression.
    +2084            dialect (str): the dialect used to parse the input expression.
    +2085            copy (bool): if `False`, modify this expression instance in-place.
    +2086            opts (kwargs): other options to use to parse the input expressions.
    +2087
    +2088        Returns:
    +2089            Select: the modified expression.
    +2090        """
    +2091        return _apply_child_list_builder(
    +2092            *expressions,
    +2093            instance=self,
    +2094            arg="cluster",
    +2095            append=append,
    +2096            copy=copy,
    +2097            prefix="CLUSTER BY",
    +2098            into=Cluster,
    +2099            dialect=dialect,
    +2100            **opts,
    +2101        )
    +2102
    +2103    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +2104        """
    +2105        Set the LIMIT expression.
    +2106
    +2107        Example:
    +2108            >>> Select().from_("tbl").select("x").limit(10).sql()
    +2109            'SELECT x FROM tbl LIMIT 10'
    +2110
    +2111        Args:
    +2112            expression (str | int | Expression): the SQL code string to parse.
    +2113                This can also be an integer.
    +2114                If a `Limit` instance is passed, this is used as-is.
    +2115                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    +2116            dialect (str): the dialect used to parse the input expression.
    +2117            copy (bool): if `False`, modify this expression instance in-place.
    +2118            opts (kwargs): other options to use to parse the input expressions.
    +2119
    +2120        Returns:
    +2121            Select: the modified expression.
    +2122        """
    +2123        return _apply_builder(
    +2124            expression=expression,
    +2125            instance=self,
    +2126            arg="limit",
    +2127            into=Limit,
    +2128            prefix="LIMIT",
    +2129            dialect=dialect,
    +2130            copy=copy,
    +2131            **opts,
    +2132        )
    +2133
    +2134    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
    +2135        """
    +2136        Set the OFFSET expression.
    +2137
    +2138        Example:
    +2139            >>> Select().from_("tbl").select("x").offset(10).sql()
    +2140            'SELECT x FROM tbl OFFSET 10'
    +2141
    +2142        Args:
    +2143            expression (str | int | Expression): the SQL code string to parse.
    +2144                This can also be an integer.
    +2145                If a `Offset` instance is passed, this is used as-is.
    +2146                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
    +2147            dialect (str): the dialect used to parse the input expression.
    +2148            copy (bool): if `False`, modify this expression instance in-place.
    +2149            opts (kwargs): other options to use to parse the input expressions.
    +2150
    +2151        Returns:
    +2152            Select: the modified expression.
    +2153        """
    +2154        return _apply_builder(
    +2155            expression=expression,
    +2156            instance=self,
    +2157            arg="offset",
    +2158            into=Offset,
    +2159            prefix="OFFSET",
    +2160            dialect=dialect,
    +2161            copy=copy,
    +2162            **opts,
    +2163        )
    +2164
    +2165    def select(
    +2166        self,
    +2167        *expressions: str | Expression,
    +2168        append: bool = True,
    +2169        dialect: DialectType = None,
    +2170        copy: bool = True,
    +2171        **opts,
    +2172    ) -> Select:
    +2173        """
    +2174        Append to or set the SELECT expressions.
    +2175
    +2176        Example:
    +2177            >>> Select().select("x", "y").sql()
    +2178            'SELECT x, y'
    +2179
    +2180        Args:
    +2181            *expressions: the SQL code strings to parse.
    +2182                If an `Expression` instance is passed, it will be used as-is.
    +2183            append: if `True`, add to any existing expressions.
    +2184                Otherwise, this resets the expressions.
    +2185            dialect: the dialect used to parse the input expressions.
    +2186            copy: if `False`, modify this expression instance in-place.
    +2187            opts: other options to use to parse the input expressions.
     2188
    -2189        Args:
    -2190            *expressions (str | Expression): the SQL code strings to parse.
    -2191                If an `Expression` instance is passed, it will be used as-is.
    -2192            append (bool): if `True`, add to any existing expressions.
    -2193                Otherwise, this resets the expressions.
    -2194            dialect (str): the dialect used to parse the input expressions.
    -2195            copy (bool): if `False`, modify this expression instance in-place.
    -2196            opts (kwargs): other options to use to parse the input expressions.
    -2197
    -2198        Returns:
    -2199            Select: the modified expression.
    -2200        """
    -2201        return _apply_list_builder(
    -2202            *expressions,
    -2203            instance=self,
    -2204            arg="laterals",
    -2205            append=append,
    -2206            into=Lateral,
    -2207            prefix="LATERAL VIEW",
    -2208            dialect=dialect,
    -2209            copy=copy,
    -2210            **opts,
    -2211        )
    -2212
    -2213    def join(
    -2214        self,
    -2215        expression,
    -2216        on=None,
    -2217        using=None,
    -2218        append=True,
    -2219        join_type=None,
    -2220        join_alias=None,
    -2221        dialect=None,
    -2222        copy=True,
    -2223        **opts,
    -2224    ) -> Select:
    -2225        """
    -2226        Append to or set the JOIN expressions.
    -2227
    -2228        Example:
    -2229            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
    -2230            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
    -2231
    -2232            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
    -2233            'SELECT 1 FROM a JOIN b USING (x, y, z)'
    -2234
    -2235            Use `join_type` to change the type of join:
    -2236
    -2237            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
    -2238            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
    -2239
    -2240        Args:
    -2241            expression (str | Expression): the SQL code string to parse.
    -2242                If an `Expression` instance is passed, it will be used as-is.
    -2243            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
    -2244                If an `Expression` instance is passed, it will be used as-is.
    -2245            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
    -2246                If an `Expression` instance is passed, it will be used as-is.
    -2247            append (bool): if `True`, add to any existing expressions.
    -2248                Otherwise, this resets the expressions.
    -2249            join_type (str): If set, alter the parsed join type
    -2250            dialect (str): the dialect used to parse the input expressions.
    -2251            copy (bool): if `False`, modify this expression instance in-place.
    -2252            opts (kwargs): other options to use to parse the input expressions.
    -2253
    -2254        Returns:
    -2255            Select: the modified expression.
    -2256        """
    -2257        parse_args = {"dialect": dialect, **opts}
    -2258
    -2259        try:
    -2260            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
    -2261        except ParseError:
    -2262            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
    -2263
    -2264        join = expression if isinstance(expression, Join) else Join(this=expression)
    -2265
    -2266        if isinstance(join.this, Select):
    -2267            join.this.replace(join.this.subquery())
    -2268
    -2269        if join_type:
    -2270            natural: t.Optional[Token]
    -2271            side: t.Optional[Token]
    -2272            kind: t.Optional[Token]
    -2273
    -2274            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
    -2275
    -2276            if natural:
    -2277                join.set("natural", True)
    -2278            if side:
    -2279                join.set("side", side.text)
    -2280            if kind:
    -2281                join.set("kind", kind.text)
    -2282
    -2283        if on:
    -2284            on = and_(*ensure_collection(on), dialect=dialect, **opts)
    -2285            join.set("on", on)
    +2189        Returns:
    +2190            Select: the modified expression.
    +2191        """
    +2192        return _apply_list_builder(
    +2193            *expressions,
    +2194            instance=self,
    +2195            arg="expressions",
    +2196            append=append,
    +2197            dialect=dialect,
    +2198            copy=copy,
    +2199            **opts,
    +2200        )
    +2201
    +2202    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2203        """
    +2204        Append to or set the LATERAL expressions.
    +2205
    +2206        Example:
    +2207            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
    +2208            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
    +2209
    +2210        Args:
    +2211            *expressions (str | Expression): the SQL code strings to parse.
    +2212                If an `Expression` instance is passed, it will be used as-is.
    +2213            append (bool): if `True`, add to any existing expressions.
    +2214                Otherwise, this resets the expressions.
    +2215            dialect (str): the dialect used to parse the input expressions.
    +2216            copy (bool): if `False`, modify this expression instance in-place.
    +2217            opts (kwargs): other options to use to parse the input expressions.
    +2218
    +2219        Returns:
    +2220            Select: the modified expression.
    +2221        """
    +2222        return _apply_list_builder(
    +2223            *expressions,
    +2224            instance=self,
    +2225            arg="laterals",
    +2226            append=append,
    +2227            into=Lateral,
    +2228            prefix="LATERAL VIEW",
    +2229            dialect=dialect,
    +2230            copy=copy,
    +2231            **opts,
    +2232        )
    +2233
    +2234    def join(
    +2235        self,
    +2236        expression,
    +2237        on=None,
    +2238        using=None,
    +2239        append=True,
    +2240        join_type=None,
    +2241        join_alias=None,
    +2242        dialect=None,
    +2243        copy=True,
    +2244        **opts,
    +2245    ) -> Select:
    +2246        """
    +2247        Append to or set the JOIN expressions.
    +2248
    +2249        Example:
    +2250            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
    +2251            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
    +2252
    +2253            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
    +2254            'SELECT 1 FROM a JOIN b USING (x, y, z)'
    +2255
    +2256            Use `join_type` to change the type of join:
    +2257
    +2258            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
    +2259            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
    +2260
    +2261        Args:
    +2262            expression (str | Expression): the SQL code string to parse.
    +2263                If an `Expression` instance is passed, it will be used as-is.
    +2264            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
    +2265                If an `Expression` instance is passed, it will be used as-is.
    +2266            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
    +2267                If an `Expression` instance is passed, it will be used as-is.
    +2268            append (bool): if `True`, add to any existing expressions.
    +2269                Otherwise, this resets the expressions.
    +2270            join_type (str): If set, alter the parsed join type
    +2271            dialect (str): the dialect used to parse the input expressions.
    +2272            copy (bool): if `False`, modify this expression instance in-place.
    +2273            opts (kwargs): other options to use to parse the input expressions.
    +2274
    +2275        Returns:
    +2276            Select: the modified expression.
    +2277        """
    +2278        parse_args = {"dialect": dialect, **opts}
    +2279
    +2280        try:
    +2281            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
    +2282        except ParseError:
    +2283            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
    +2284
    +2285        join = expression if isinstance(expression, Join) else Join(this=expression)
     2286
    -2287        if using:
    -2288            join = _apply_list_builder(
    -2289                *ensure_collection(using),
    -2290                instance=join,
    -2291                arg="using",
    -2292                append=append,
    -2293                copy=copy,
    -2294                **opts,
    -2295            )
    +2287        if isinstance(join.this, Select):
    +2288            join.this.replace(join.this.subquery())
    +2289
    +2290        if join_type:
    +2291            natural: t.Optional[Token]
    +2292            side: t.Optional[Token]
    +2293            kind: t.Optional[Token]
    +2294
    +2295            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
     2296
    -2297        if join_alias:
    -2298            join.set("this", alias_(join.this, join_alias, table=True))
    -2299        return _apply_list_builder(
    -2300            join,
    -2301            instance=self,
    -2302            arg="joins",
    -2303            append=append,
    -2304            copy=copy,
    -2305            **opts,
    -2306        )
    +2297            if natural:
    +2298                join.set("natural", True)
    +2299            if side:
    +2300                join.set("side", side.text)
    +2301            if kind:
    +2302                join.set("kind", kind.text)
    +2303
    +2304        if on:
    +2305            on = and_(*ensure_collection(on), dialect=dialect, **opts)
    +2306            join.set("on", on)
     2307
    -2308    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2309        """
    -2310        Append to or set the WHERE expressions.
    -2311
    -2312        Example:
    -2313            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
    -2314            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
    -2315
    -2316        Args:
    -2317            *expressions (str | Expression): the SQL code strings to parse.
    -2318                If an `Expression` instance is passed, it will be used as-is.
    -2319                Multiple expressions are combined with an AND operator.
    -2320            append (bool): if `True`, AND the new expressions to any existing expression.
    -2321                Otherwise, this resets the expression.
    -2322            dialect (str): the dialect used to parse the input expressions.
    -2323            copy (bool): if `False`, modify this expression instance in-place.
    -2324            opts (kwargs): other options to use to parse the input expressions.
    -2325
    -2326        Returns:
    -2327            Select: the modified expression.
    -2328        """
    -2329        return _apply_conjunction_builder(
    -2330            *expressions,
    -2331            instance=self,
    -2332            arg="where",
    -2333            append=append,
    -2334            into=Where,
    -2335            dialect=dialect,
    -2336            copy=copy,
    -2337            **opts,
    -2338        )
    -2339
    -2340    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2341        """
    -2342        Append to or set the HAVING expressions.
    -2343
    -2344        Example:
    -2345            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
    -2346            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
    -2347
    -2348        Args:
    -2349            *expressions (str | Expression): the SQL code strings to parse.
    -2350                If an `Expression` instance is passed, it will be used as-is.
    -2351                Multiple expressions are combined with an AND operator.
    -2352            append (bool): if `True`, AND the new expressions to any existing expression.
    -2353                Otherwise, this resets the expression.
    -2354            dialect (str): the dialect used to parse the input expressions.
    -2355            copy (bool): if `False`, modify this expression instance in-place.
    -2356            opts (kwargs): other options to use to parse the input expressions.
    -2357
    -2358        Returns:
    -2359            Select: the modified expression.
    -2360        """
    -2361        return _apply_conjunction_builder(
    -2362            *expressions,
    -2363            instance=self,
    -2364            arg="having",
    -2365            append=append,
    -2366            into=Having,
    -2367            dialect=dialect,
    -2368            copy=copy,
    -2369            **opts,
    -2370        )
    -2371
    -2372    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2373        return _apply_list_builder(
    -2374            *expressions,
    -2375            instance=self,
    -2376            arg="windows",
    -2377            append=append,
    -2378            into=Window,
    -2379            dialect=dialect,
    -2380            copy=copy,
    -2381            **opts,
    -2382        )
    -2383
    -2384    def distinct(self, distinct=True, copy=True) -> Select:
    -2385        """
    -2386        Set the OFFSET expression.
    -2387
    -2388        Example:
    -2389            >>> Select().from_("tbl").select("x").distinct().sql()
    -2390            'SELECT DISTINCT x FROM tbl'
    -2391
    -2392        Args:
    -2393            distinct (bool): whether the Select should be distinct
    -2394            copy (bool): if `False`, modify this expression instance in-place.
    -2395
    -2396        Returns:
    -2397            Select: the modified expression.
    -2398        """
    -2399        instance = _maybe_copy(self, copy)
    -2400        instance.set("distinct", Distinct() if distinct else None)
    -2401        return instance
    -2402
    -2403    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
    -2404        """
    -2405        Convert this expression to a CREATE TABLE AS statement.
    -2406
    -2407        Example:
    -2408            >>> Select().select("*").from_("tbl").ctas("x").sql()
    -2409            'CREATE TABLE x AS SELECT * FROM tbl'
    -2410
    -2411        Args:
    -2412            table (str | Expression): the SQL code string to parse as the table name.
    -2413                If another `Expression` instance is passed, it will be used as-is.
    -2414            properties (dict): an optional mapping of table properties
    -2415            dialect (str): the dialect used to parse the input table.
    -2416            copy (bool): if `False`, modify this expression instance in-place.
    -2417            opts (kwargs): other options to use to parse the input table.
    -2418
    -2419        Returns:
    -2420            Create: the CREATE TABLE AS expression
    -2421        """
    -2422        instance = _maybe_copy(self, copy)
    -2423        table_expression = maybe_parse(
    -2424            table,
    -2425            into=Table,
    -2426            dialect=dialect,
    -2427            **opts,
    -2428        )
    -2429        properties_expression = None
    -2430        if properties:
    -2431            properties_expression = Properties.from_dict(properties)
    -2432
    -2433        return Create(
    -2434            this=table_expression,
    -2435            kind="table",
    -2436            expression=instance,
    -2437            properties=properties_expression,
    -2438        )
    +2308        if using:
    +2309            join = _apply_list_builder(
    +2310                *ensure_collection(using),
    +2311                instance=join,
    +2312                arg="using",
    +2313                append=append,
    +2314                copy=copy,
    +2315                **opts,
    +2316            )
    +2317
    +2318        if join_alias:
    +2319            join.set("this", alias_(join.this, join_alias, table=True))
    +2320        return _apply_list_builder(
    +2321            join,
    +2322            instance=self,
    +2323            arg="joins",
    +2324            append=append,
    +2325            copy=copy,
    +2326            **opts,
    +2327        )
    +2328
    +2329    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2330        """
    +2331        Append to or set the WHERE expressions.
    +2332
    +2333        Example:
    +2334            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
    +2335            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
    +2336
    +2337        Args:
    +2338            *expressions (str | Expression): the SQL code strings to parse.
    +2339                If an `Expression` instance is passed, it will be used as-is.
    +2340                Multiple expressions are combined with an AND operator.
    +2341            append (bool): if `True`, AND the new expressions to any existing expression.
    +2342                Otherwise, this resets the expression.
    +2343            dialect (str): the dialect used to parse the input expressions.
    +2344            copy (bool): if `False`, modify this expression instance in-place.
    +2345            opts (kwargs): other options to use to parse the input expressions.
    +2346
    +2347        Returns:
    +2348            Select: the modified expression.
    +2349        """
    +2350        return _apply_conjunction_builder(
    +2351            *expressions,
    +2352            instance=self,
    +2353            arg="where",
    +2354            append=append,
    +2355            into=Where,
    +2356            dialect=dialect,
    +2357            copy=copy,
    +2358            **opts,
    +2359        )
    +2360
    +2361    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2362        """
    +2363        Append to or set the HAVING expressions.
    +2364
    +2365        Example:
    +2366            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
    +2367            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
    +2368
    +2369        Args:
    +2370            *expressions (str | Expression): the SQL code strings to parse.
    +2371                If an `Expression` instance is passed, it will be used as-is.
    +2372                Multiple expressions are combined with an AND operator.
    +2373            append (bool): if `True`, AND the new expressions to any existing expression.
    +2374                Otherwise, this resets the expression.
    +2375            dialect (str): the dialect used to parse the input expressions.
    +2376            copy (bool): if `False`, modify this expression instance in-place.
    +2377            opts (kwargs): other options to use to parse the input expressions.
    +2378
    +2379        Returns:
    +2380            Select: the modified expression.
    +2381        """
    +2382        return _apply_conjunction_builder(
    +2383            *expressions,
    +2384            instance=self,
    +2385            arg="having",
    +2386            append=append,
    +2387            into=Having,
    +2388            dialect=dialect,
    +2389            copy=copy,
    +2390            **opts,
    +2391        )
    +2392
    +2393    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2394        return _apply_list_builder(
    +2395            *expressions,
    +2396            instance=self,
    +2397            arg="windows",
    +2398            append=append,
    +2399            into=Window,
    +2400            dialect=dialect,
    +2401            copy=copy,
    +2402            **opts,
    +2403        )
    +2404
    +2405    def distinct(self, distinct=True, copy=True) -> Select:
    +2406        """
    +2407        Set the OFFSET expression.
    +2408
    +2409        Example:
    +2410            >>> Select().from_("tbl").select("x").distinct().sql()
    +2411            'SELECT DISTINCT x FROM tbl'
    +2412
    +2413        Args:
    +2414            distinct (bool): whether the Select should be distinct
    +2415            copy (bool): if `False`, modify this expression instance in-place.
    +2416
    +2417        Returns:
    +2418            Select: the modified expression.
    +2419        """
    +2420        instance = _maybe_copy(self, copy)
    +2421        instance.set("distinct", Distinct() if distinct else None)
    +2422        return instance
    +2423
    +2424    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
    +2425        """
    +2426        Convert this expression to a CREATE TABLE AS statement.
    +2427
    +2428        Example:
    +2429            >>> Select().select("*").from_("tbl").ctas("x").sql()
    +2430            'CREATE TABLE x AS SELECT * FROM tbl'
    +2431
    +2432        Args:
    +2433            table (str | Expression): the SQL code string to parse as the table name.
    +2434                If another `Expression` instance is passed, it will be used as-is.
    +2435            properties (dict): an optional mapping of table properties
    +2436            dialect (str): the dialect used to parse the input table.
    +2437            copy (bool): if `False`, modify this expression instance in-place.
    +2438            opts (kwargs): other options to use to parse the input table.
     2439
    -2440    def lock(self, update: bool = True, copy: bool = True) -> Select:
    -2441        """
    -2442        Set the locking read mode for this expression.
    -2443
    -2444        Examples:
    -2445            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
    -2446            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
    -2447
    -2448            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
    -2449            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
    -2450
    -2451        Args:
    -2452            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
    -2453            copy: if `False`, modify this expression instance in-place.
    -2454
    -2455        Returns:
    -2456            The modified expression.
    -2457        """
    -2458
    -2459        inst = _maybe_copy(self, copy)
    -2460        inst.set("lock", Lock(update=update))
    -2461
    -2462        return inst
    -2463
    -2464    @property
    -2465    def named_selects(self) -> t.List[str]:
    -2466        return [e.output_name for e in self.expressions if e.alias_or_name]
    -2467
    -2468    @property
    -2469    def is_star(self) -> bool:
    -2470        return any(expression.is_star for expression in self.expressions)
    +2440        Returns:
    +2441            Create: the CREATE TABLE AS expression
    +2442        """
    +2443        instance = _maybe_copy(self, copy)
    +2444        table_expression = maybe_parse(
    +2445            table,
    +2446            into=Table,
    +2447            dialect=dialect,
    +2448            **opts,
    +2449        )
    +2450        properties_expression = None
    +2451        if properties:
    +2452            properties_expression = Properties.from_dict(properties)
    +2453
    +2454        return Create(
    +2455            this=table_expression,
    +2456            kind="table",
    +2457            expression=instance,
    +2458            properties=properties_expression,
    +2459        )
    +2460
    +2461    def lock(self, update: bool = True, copy: bool = True) -> Select:
    +2462        """
    +2463        Set the locking read mode for this expression.
    +2464
    +2465        Examples:
    +2466            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
    +2467            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
    +2468
    +2469            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
    +2470            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
     2471
    -2472    @property
    -2473    def selects(self) -> t.List[Expression]:
    -2474        return self.expressions
    +2472        Args:
    +2473            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
    +2474            copy: if `False`, modify this expression instance in-place.
    +2475
    +2476        Returns:
    +2477            The modified expression.
    +2478        """
    +2479
    +2480        inst = _maybe_copy(self, copy)
    +2481        inst.set("lock", Lock(update=update))
    +2482
    +2483        return inst
    +2484
    +2485    @property
    +2486    def named_selects(self) -> t.List[str]:
    +2487        return [e.output_name for e in self.expressions if e.alias_or_name]
    +2488
    +2489    @property
    +2490    def is_star(self) -> bool:
    +2491        return any(expression.is_star for expression in self.expressions)
    +2492
    +2493    @property
    +2494    def selects(self) -> t.List[Expression]:
    +2495        return self.expressions
     
    @@ -20632,38 +21003,38 @@ Otherwise, this resets the expressions.
    -
    1914    def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1915        """
    -1916        Set the FROM expression.
    -1917
    -1918        Example:
    -1919            >>> Select().from_("tbl").select("x").sql()
    -1920            'SELECT x FROM tbl'
    -1921
    -1922        Args:
    -1923            *expressions (str | Expression): the SQL code strings to parse.
    -1924                If a `From` instance is passed, this is used as-is.
    -1925                If another `Expression` instance is passed, it will be wrapped in a `From`.
    -1926            append (bool): if `True`, add to any existing expressions.
    -1927                Otherwise, this flattens all the `From` expression into a single expression.
    -1928            dialect (str): the dialect used to parse the input expression.
    -1929            copy (bool): if `False`, modify this expression instance in-place.
    -1930            opts (kwargs): other options to use to parse the input expressions.
    -1931
    -1932        Returns:
    -1933            Select: the modified expression.
    -1934        """
    -1935        return _apply_child_list_builder(
    -1936            *expressions,
    -1937            instance=self,
    -1938            arg="from",
    -1939            append=append,
    -1940            copy=copy,
    -1941            prefix="FROM",
    -1942            into=From,
    -1943            dialect=dialect,
    -1944            **opts,
    -1945        )
    +            
    1935    def from_(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +1936        """
    +1937        Set the FROM expression.
    +1938
    +1939        Example:
    +1940            >>> Select().from_("tbl").select("x").sql()
    +1941            'SELECT x FROM tbl'
    +1942
    +1943        Args:
    +1944            *expressions (str | Expression): the SQL code strings to parse.
    +1945                If a `From` instance is passed, this is used as-is.
    +1946                If another `Expression` instance is passed, it will be wrapped in a `From`.
    +1947            append (bool): if `True`, add to any existing expressions.
    +1948                Otherwise, this flattens all the `From` expression into a single expression.
    +1949            dialect (str): the dialect used to parse the input expression.
    +1950            copy (bool): if `False`, modify this expression instance in-place.
    +1951            opts (kwargs): other options to use to parse the input expressions.
    +1952
    +1953        Returns:
    +1954            Select: the modified expression.
    +1955        """
    +1956        return _apply_child_list_builder(
    +1957            *expressions,
    +1958            instance=self,
    +1959            arg="from",
    +1960            append=append,
    +1961            copy=copy,
    +1962            prefix="FROM",
    +1963            into=From,
    +1964            dialect=dialect,
    +1965            **opts,
    +1966        )
     
    @@ -20712,41 +21083,41 @@ Otherwise, this flattens all the From expressio
    -
    1947    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1948        """
    -1949        Set the GROUP BY expression.
    -1950
    -1951        Example:
    -1952            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
    -1953            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
    -1954
    -1955        Args:
    -1956            *expressions (str | Expression): the SQL code strings to parse.
    -1957                If a `Group` instance is passed, this is used as-is.
    -1958                If another `Expression` instance is passed, it will be wrapped in a `Group`.
    -1959                If nothing is passed in then a group by is not applied to the expression
    -1960            append (bool): if `True`, add to any existing expressions.
    -1961                Otherwise, this flattens all the `Group` expression into a single expression.
    -1962            dialect (str): the dialect used to parse the input expression.
    -1963            copy (bool): if `False`, modify this expression instance in-place.
    -1964            opts (kwargs): other options to use to parse the input expressions.
    -1965
    -1966        Returns:
    -1967            Select: the modified expression.
    -1968        """
    -1969        if not expressions:
    -1970            return self if not copy else self.copy()
    -1971        return _apply_child_list_builder(
    -1972            *expressions,
    -1973            instance=self,
    -1974            arg="group",
    -1975            append=append,
    -1976            copy=copy,
    -1977            prefix="GROUP BY",
    -1978            into=Group,
    -1979            dialect=dialect,
    -1980            **opts,
    -1981        )
    +            
    1968    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +1969        """
    +1970        Set the GROUP BY expression.
    +1971
    +1972        Example:
    +1973            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
    +1974            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
    +1975
    +1976        Args:
    +1977            *expressions (str | Expression): the SQL code strings to parse.
    +1978                If a `Group` instance is passed, this is used as-is.
    +1979                If another `Expression` instance is passed, it will be wrapped in a `Group`.
    +1980                If nothing is passed in then a group by is not applied to the expression
    +1981            append (bool): if `True`, add to any existing expressions.
    +1982                Otherwise, this flattens all the `Group` expression into a single expression.
    +1983            dialect (str): the dialect used to parse the input expression.
    +1984            copy (bool): if `False`, modify this expression instance in-place.
    +1985            opts (kwargs): other options to use to parse the input expressions.
    +1986
    +1987        Returns:
    +1988            Select: the modified expression.
    +1989        """
    +1990        if not expressions:
    +1991            return self if not copy else self.copy()
    +1992        return _apply_child_list_builder(
    +1993            *expressions,
    +1994            instance=self,
    +1995            arg="group",
    +1996            append=append,
    +1997            copy=copy,
    +1998            prefix="GROUP BY",
    +1999            into=Group,
    +2000            dialect=dialect,
    +2001            **opts,
    +2002        )
     
    @@ -20796,38 +21167,38 @@ Otherwise, this flattens all the Group express
    -
    1983    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -1984        """
    -1985        Set the ORDER BY expression.
    -1986
    -1987        Example:
    -1988            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
    -1989            'SELECT x FROM tbl ORDER BY x DESC'
    -1990
    -1991        Args:
    -1992            *expressions (str | Expression): the SQL code strings to parse.
    -1993                If a `Group` instance is passed, this is used as-is.
    -1994                If another `Expression` instance is passed, it will be wrapped in a `Order`.
    -1995            append (bool): if `True`, add to any existing expressions.
    -1996                Otherwise, this flattens all the `Order` expression into a single expression.
    -1997            dialect (str): the dialect used to parse the input expression.
    -1998            copy (bool): if `False`, modify this expression instance in-place.
    -1999            opts (kwargs): other options to use to parse the input expressions.
    -2000
    -2001        Returns:
    -2002            Select: the modified expression.
    -2003        """
    -2004        return _apply_child_list_builder(
    -2005            *expressions,
    -2006            instance=self,
    -2007            arg="order",
    -2008            append=append,
    -2009            copy=copy,
    -2010            prefix="ORDER BY",
    -2011            into=Order,
    -2012            dialect=dialect,
    -2013            **opts,
    -2014        )
    +            
    2004    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2005        """
    +2006        Set the ORDER BY expression.
    +2007
    +2008        Example:
    +2009            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
    +2010            'SELECT x FROM tbl ORDER BY x DESC'
    +2011
    +2012        Args:
    +2013            *expressions (str | Expression): the SQL code strings to parse.
    +2014                If a `Group` instance is passed, this is used as-is.
    +2015                If another `Expression` instance is passed, it will be wrapped in a `Order`.
    +2016            append (bool): if `True`, add to any existing expressions.
    +2017                Otherwise, this flattens all the `Order` expression into a single expression.
    +2018            dialect (str): the dialect used to parse the input expression.
    +2019            copy (bool): if `False`, modify this expression instance in-place.
    +2020            opts (kwargs): other options to use to parse the input expressions.
    +2021
    +2022        Returns:
    +2023            Select: the modified expression.
    +2024        """
    +2025        return _apply_child_list_builder(
    +2026            *expressions,
    +2027            instance=self,
    +2028            arg="order",
    +2029            append=append,
    +2030            copy=copy,
    +2031            prefix="ORDER BY",
    +2032            into=Order,
    +2033            dialect=dialect,
    +2034            **opts,
    +2035        )
     
    @@ -20876,38 +21247,38 @@ Otherwise, this flattens all the Order express
    -
    2016    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2017        """
    -2018        Set the SORT BY expression.
    -2019
    -2020        Example:
    -2021            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql()
    -2022            'SELECT x FROM tbl SORT BY x DESC'
    -2023
    -2024        Args:
    -2025            *expressions (str | Expression): the SQL code strings to parse.
    -2026                If a `Group` instance is passed, this is used as-is.
    -2027                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
    -2028            append (bool): if `True`, add to any existing expressions.
    -2029                Otherwise, this flattens all the `Order` expression into a single expression.
    -2030            dialect (str): the dialect used to parse the input expression.
    -2031            copy (bool): if `False`, modify this expression instance in-place.
    -2032            opts (kwargs): other options to use to parse the input expressions.
    -2033
    -2034        Returns:
    -2035            Select: the modified expression.
    -2036        """
    -2037        return _apply_child_list_builder(
    -2038            *expressions,
    -2039            instance=self,
    -2040            arg="sort",
    -2041            append=append,
    -2042            copy=copy,
    -2043            prefix="SORT BY",
    -2044            into=Sort,
    -2045            dialect=dialect,
    -2046            **opts,
    -2047        )
    +            
    2037    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2038        """
    +2039        Set the SORT BY expression.
    +2040
    +2041        Example:
    +2042            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql()
    +2043            'SELECT x FROM tbl SORT BY x DESC'
    +2044
    +2045        Args:
    +2046            *expressions (str | Expression): the SQL code strings to parse.
    +2047                If a `Group` instance is passed, this is used as-is.
    +2048                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
    +2049            append (bool): if `True`, add to any existing expressions.
    +2050                Otherwise, this flattens all the `Order` expression into a single expression.
    +2051            dialect (str): the dialect used to parse the input expression.
    +2052            copy (bool): if `False`, modify this expression instance in-place.
    +2053            opts (kwargs): other options to use to parse the input expressions.
    +2054
    +2055        Returns:
    +2056            Select: the modified expression.
    +2057        """
    +2058        return _apply_child_list_builder(
    +2059            *expressions,
    +2060            instance=self,
    +2061            arg="sort",
    +2062            append=append,
    +2063            copy=copy,
    +2064            prefix="SORT BY",
    +2065            into=Sort,
    +2066            dialect=dialect,
    +2067            **opts,
    +2068        )
     
    @@ -20956,38 +21327,38 @@ Otherwise, this flattens all the Order express
    -
    2049    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2050        """
    -2051        Set the CLUSTER BY expression.
    -2052
    -2053        Example:
    -2054            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()
    -2055            'SELECT x FROM tbl CLUSTER BY x DESC'
    -2056
    -2057        Args:
    -2058            *expressions (str | Expression): the SQL code strings to parse.
    -2059                If a `Group` instance is passed, this is used as-is.
    -2060                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
    -2061            append (bool): if `True`, add to any existing expressions.
    -2062                Otherwise, this flattens all the `Order` expression into a single expression.
    -2063            dialect (str): the dialect used to parse the input expression.
    -2064            copy (bool): if `False`, modify this expression instance in-place.
    -2065            opts (kwargs): other options to use to parse the input expressions.
    -2066
    -2067        Returns:
    -2068            Select: the modified expression.
    -2069        """
    -2070        return _apply_child_list_builder(
    -2071            *expressions,
    -2072            instance=self,
    -2073            arg="cluster",
    -2074            append=append,
    -2075            copy=copy,
    -2076            prefix="CLUSTER BY",
    -2077            into=Cluster,
    -2078            dialect=dialect,
    -2079            **opts,
    -2080        )
    +            
    2070    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2071        """
    +2072        Set the CLUSTER BY expression.
    +2073
    +2074        Example:
    +2075            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql()
    +2076            'SELECT x FROM tbl CLUSTER BY x DESC'
    +2077
    +2078        Args:
    +2079            *expressions (str | Expression): the SQL code strings to parse.
    +2080                If a `Group` instance is passed, this is used as-is.
    +2081                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
    +2082            append (bool): if `True`, add to any existing expressions.
    +2083                Otherwise, this flattens all the `Order` expression into a single expression.
    +2084            dialect (str): the dialect used to parse the input expression.
    +2085            copy (bool): if `False`, modify this expression instance in-place.
    +2086            opts (kwargs): other options to use to parse the input expressions.
    +2087
    +2088        Returns:
    +2089            Select: the modified expression.
    +2090        """
    +2091        return _apply_child_list_builder(
    +2092            *expressions,
    +2093            instance=self,
    +2094            arg="cluster",
    +2095            append=append,
    +2096            copy=copy,
    +2097            prefix="CLUSTER BY",
    +2098            into=Cluster,
    +2099            dialect=dialect,
    +2100            **opts,
    +2101        )
     
    @@ -21036,36 +21407,36 @@ Otherwise, this flattens all the Order express
    -
    2082    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    -2083        """
    -2084        Set the LIMIT expression.
    -2085
    -2086        Example:
    -2087            >>> Select().from_("tbl").select("x").limit(10).sql()
    -2088            'SELECT x FROM tbl LIMIT 10'
    -2089
    -2090        Args:
    -2091            expression (str | int | Expression): the SQL code string to parse.
    -2092                This can also be an integer.
    -2093                If a `Limit` instance is passed, this is used as-is.
    -2094                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    -2095            dialect (str): the dialect used to parse the input expression.
    -2096            copy (bool): if `False`, modify this expression instance in-place.
    -2097            opts (kwargs): other options to use to parse the input expressions.
    -2098
    -2099        Returns:
    -2100            Select: the modified expression.
    -2101        """
    -2102        return _apply_builder(
    -2103            expression=expression,
    -2104            instance=self,
    -2105            arg="limit",
    -2106            into=Limit,
    -2107            prefix="LIMIT",
    -2108            dialect=dialect,
    -2109            copy=copy,
    -2110            **opts,
    -2111        )
    +            
    2103    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
    +2104        """
    +2105        Set the LIMIT expression.
    +2106
    +2107        Example:
    +2108            >>> Select().from_("tbl").select("x").limit(10).sql()
    +2109            'SELECT x FROM tbl LIMIT 10'
    +2110
    +2111        Args:
    +2112            expression (str | int | Expression): the SQL code string to parse.
    +2113                This can also be an integer.
    +2114                If a `Limit` instance is passed, this is used as-is.
    +2115                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
    +2116            dialect (str): the dialect used to parse the input expression.
    +2117            copy (bool): if `False`, modify this expression instance in-place.
    +2118            opts (kwargs): other options to use to parse the input expressions.
    +2119
    +2120        Returns:
    +2121            Select: the modified expression.
    +2122        """
    +2123        return _apply_builder(
    +2124            expression=expression,
    +2125            instance=self,
    +2126            arg="limit",
    +2127            into=Limit,
    +2128            prefix="LIMIT",
    +2129            dialect=dialect,
    +2130            copy=copy,
    +2131            **opts,
    +2132        )
     
    @@ -21113,36 +21484,36 @@ If another Expression instance is passed,
    -
    2113    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
    -2114        """
    -2115        Set the OFFSET expression.
    -2116
    -2117        Example:
    -2118            >>> Select().from_("tbl").select("x").offset(10).sql()
    -2119            'SELECT x FROM tbl OFFSET 10'
    -2120
    -2121        Args:
    -2122            expression (str | int | Expression): the SQL code string to parse.
    -2123                This can also be an integer.
    -2124                If a `Offset` instance is passed, this is used as-is.
    -2125                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
    -2126            dialect (str): the dialect used to parse the input expression.
    -2127            copy (bool): if `False`, modify this expression instance in-place.
    -2128            opts (kwargs): other options to use to parse the input expressions.
    -2129
    -2130        Returns:
    -2131            Select: the modified expression.
    -2132        """
    -2133        return _apply_builder(
    -2134            expression=expression,
    -2135            instance=self,
    -2136            arg="offset",
    -2137            into=Offset,
    -2138            prefix="OFFSET",
    -2139            dialect=dialect,
    -2140            copy=copy,
    -2141            **opts,
    -2142        )
    +            
    2134    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
    +2135        """
    +2136        Set the OFFSET expression.
    +2137
    +2138        Example:
    +2139            >>> Select().from_("tbl").select("x").offset(10).sql()
    +2140            'SELECT x FROM tbl OFFSET 10'
    +2141
    +2142        Args:
    +2143            expression (str | int | Expression): the SQL code string to parse.
    +2144                This can also be an integer.
    +2145                If a `Offset` instance is passed, this is used as-is.
    +2146                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
    +2147            dialect (str): the dialect used to parse the input expression.
    +2148            copy (bool): if `False`, modify this expression instance in-place.
    +2149            opts (kwargs): other options to use to parse the input expressions.
    +2150
    +2151        Returns:
    +2152            Select: the modified expression.
    +2153        """
    +2154        return _apply_builder(
    +2155            expression=expression,
    +2156            instance=self,
    +2157            arg="offset",
    +2158            into=Offset,
    +2159            prefix="OFFSET",
    +2160            dialect=dialect,
    +2161            copy=copy,
    +2162            **opts,
    +2163        )
     
    @@ -21190,42 +21561,42 @@ If another Expression instance is passed,
    -
    2144    def select(
    -2145        self,
    -2146        *expressions: str | Expression,
    -2147        append: bool = True,
    -2148        dialect: DialectType = None,
    -2149        copy: bool = True,
    -2150        **opts,
    -2151    ) -> Select:
    -2152        """
    -2153        Append to or set the SELECT expressions.
    -2154
    -2155        Example:
    -2156            >>> Select().select("x", "y").sql()
    -2157            'SELECT x, y'
    -2158
    -2159        Args:
    -2160            *expressions: the SQL code strings to parse.
    -2161                If an `Expression` instance is passed, it will be used as-is.
    -2162            append: if `True`, add to any existing expressions.
    -2163                Otherwise, this resets the expressions.
    -2164            dialect: the dialect used to parse the input expressions.
    -2165            copy: if `False`, modify this expression instance in-place.
    -2166            opts: other options to use to parse the input expressions.
    -2167
    -2168        Returns:
    -2169            Select: the modified expression.
    -2170        """
    -2171        return _apply_list_builder(
    -2172            *expressions,
    -2173            instance=self,
    -2174            arg="expressions",
    -2175            append=append,
    -2176            dialect=dialect,
    -2177            copy=copy,
    -2178            **opts,
    -2179        )
    +            
    2165    def select(
    +2166        self,
    +2167        *expressions: str | Expression,
    +2168        append: bool = True,
    +2169        dialect: DialectType = None,
    +2170        copy: bool = True,
    +2171        **opts,
    +2172    ) -> Select:
    +2173        """
    +2174        Append to or set the SELECT expressions.
    +2175
    +2176        Example:
    +2177            >>> Select().select("x", "y").sql()
    +2178            'SELECT x, y'
    +2179
    +2180        Args:
    +2181            *expressions: the SQL code strings to parse.
    +2182                If an `Expression` instance is passed, it will be used as-is.
    +2183            append: if `True`, add to any existing expressions.
    +2184                Otherwise, this resets the expressions.
    +2185            dialect: the dialect used to parse the input expressions.
    +2186            copy: if `False`, modify this expression instance in-place.
    +2187            opts: other options to use to parse the input expressions.
    +2188
    +2189        Returns:
    +2190            Select: the modified expression.
    +2191        """
    +2192        return _apply_list_builder(
    +2193            *expressions,
    +2194            instance=self,
    +2195            arg="expressions",
    +2196            append=append,
    +2197            dialect=dialect,
    +2198            copy=copy,
    +2199            **opts,
    +2200        )
     
    @@ -21273,37 +21644,37 @@ Otherwise, this resets the expressions.
    -
    2181    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2182        """
    -2183        Append to or set the LATERAL expressions.
    -2184
    -2185        Example:
    -2186            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
    -2187            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
    -2188
    -2189        Args:
    -2190            *expressions (str | Expression): the SQL code strings to parse.
    -2191                If an `Expression` instance is passed, it will be used as-is.
    -2192            append (bool): if `True`, add to any existing expressions.
    -2193                Otherwise, this resets the expressions.
    -2194            dialect (str): the dialect used to parse the input expressions.
    -2195            copy (bool): if `False`, modify this expression instance in-place.
    -2196            opts (kwargs): other options to use to parse the input expressions.
    -2197
    -2198        Returns:
    -2199            Select: the modified expression.
    -2200        """
    -2201        return _apply_list_builder(
    -2202            *expressions,
    -2203            instance=self,
    -2204            arg="laterals",
    -2205            append=append,
    -2206            into=Lateral,
    -2207            prefix="LATERAL VIEW",
    -2208            dialect=dialect,
    -2209            copy=copy,
    -2210            **opts,
    -2211        )
    +            
    2202    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2203        """
    +2204        Append to or set the LATERAL expressions.
    +2205
    +2206        Example:
    +2207            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
    +2208            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
    +2209
    +2210        Args:
    +2211            *expressions (str | Expression): the SQL code strings to parse.
    +2212                If an `Expression` instance is passed, it will be used as-is.
    +2213            append (bool): if `True`, add to any existing expressions.
    +2214                Otherwise, this resets the expressions.
    +2215            dialect (str): the dialect used to parse the input expressions.
    +2216            copy (bool): if `False`, modify this expression instance in-place.
    +2217            opts (kwargs): other options to use to parse the input expressions.
    +2218
    +2219        Returns:
    +2220            Select: the modified expression.
    +2221        """
    +2222        return _apply_list_builder(
    +2223            *expressions,
    +2224            instance=self,
    +2225            arg="laterals",
    +2226            append=append,
    +2227            into=Lateral,
    +2228            prefix="LATERAL VIEW",
    +2229            dialect=dialect,
    +2230            copy=copy,
    +2231            **opts,
    +2232        )
     
    @@ -21351,100 +21722,100 @@ Otherwise, this resets the expressions.
    -
    2213    def join(
    -2214        self,
    -2215        expression,
    -2216        on=None,
    -2217        using=None,
    -2218        append=True,
    -2219        join_type=None,
    -2220        join_alias=None,
    -2221        dialect=None,
    -2222        copy=True,
    -2223        **opts,
    -2224    ) -> Select:
    -2225        """
    -2226        Append to or set the JOIN expressions.
    -2227
    -2228        Example:
    -2229            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
    -2230            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
    -2231
    -2232            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
    -2233            'SELECT 1 FROM a JOIN b USING (x, y, z)'
    -2234
    -2235            Use `join_type` to change the type of join:
    -2236
    -2237            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
    -2238            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
    -2239
    -2240        Args:
    -2241            expression (str | Expression): the SQL code string to parse.
    -2242                If an `Expression` instance is passed, it will be used as-is.
    -2243            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
    -2244                If an `Expression` instance is passed, it will be used as-is.
    -2245            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
    -2246                If an `Expression` instance is passed, it will be used as-is.
    -2247            append (bool): if `True`, add to any existing expressions.
    -2248                Otherwise, this resets the expressions.
    -2249            join_type (str): If set, alter the parsed join type
    -2250            dialect (str): the dialect used to parse the input expressions.
    -2251            copy (bool): if `False`, modify this expression instance in-place.
    -2252            opts (kwargs): other options to use to parse the input expressions.
    -2253
    -2254        Returns:
    -2255            Select: the modified expression.
    -2256        """
    -2257        parse_args = {"dialect": dialect, **opts}
    -2258
    -2259        try:
    -2260            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
    -2261        except ParseError:
    -2262            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
    -2263
    -2264        join = expression if isinstance(expression, Join) else Join(this=expression)
    -2265
    -2266        if isinstance(join.this, Select):
    -2267            join.this.replace(join.this.subquery())
    -2268
    -2269        if join_type:
    -2270            natural: t.Optional[Token]
    -2271            side: t.Optional[Token]
    -2272            kind: t.Optional[Token]
    -2273
    -2274            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
    -2275
    -2276            if natural:
    -2277                join.set("natural", True)
    -2278            if side:
    -2279                join.set("side", side.text)
    -2280            if kind:
    -2281                join.set("kind", kind.text)
    -2282
    -2283        if on:
    -2284            on = and_(*ensure_collection(on), dialect=dialect, **opts)
    -2285            join.set("on", on)
    +            
    2234    def join(
    +2235        self,
    +2236        expression,
    +2237        on=None,
    +2238        using=None,
    +2239        append=True,
    +2240        join_type=None,
    +2241        join_alias=None,
    +2242        dialect=None,
    +2243        copy=True,
    +2244        **opts,
    +2245    ) -> Select:
    +2246        """
    +2247        Append to or set the JOIN expressions.
    +2248
    +2249        Example:
    +2250            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
    +2251            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
    +2252
    +2253            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
    +2254            'SELECT 1 FROM a JOIN b USING (x, y, z)'
    +2255
    +2256            Use `join_type` to change the type of join:
    +2257
    +2258            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
    +2259            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
    +2260
    +2261        Args:
    +2262            expression (str | Expression): the SQL code string to parse.
    +2263                If an `Expression` instance is passed, it will be used as-is.
    +2264            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
    +2265                If an `Expression` instance is passed, it will be used as-is.
    +2266            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
    +2267                If an `Expression` instance is passed, it will be used as-is.
    +2268            append (bool): if `True`, add to any existing expressions.
    +2269                Otherwise, this resets the expressions.
    +2270            join_type (str): If set, alter the parsed join type
    +2271            dialect (str): the dialect used to parse the input expressions.
    +2272            copy (bool): if `False`, modify this expression instance in-place.
    +2273            opts (kwargs): other options to use to parse the input expressions.
    +2274
    +2275        Returns:
    +2276            Select: the modified expression.
    +2277        """
    +2278        parse_args = {"dialect": dialect, **opts}
    +2279
    +2280        try:
    +2281            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
    +2282        except ParseError:
    +2283            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
    +2284
    +2285        join = expression if isinstance(expression, Join) else Join(this=expression)
     2286
    -2287        if using:
    -2288            join = _apply_list_builder(
    -2289                *ensure_collection(using),
    -2290                instance=join,
    -2291                arg="using",
    -2292                append=append,
    -2293                copy=copy,
    -2294                **opts,
    -2295            )
    +2287        if isinstance(join.this, Select):
    +2288            join.this.replace(join.this.subquery())
    +2289
    +2290        if join_type:
    +2291            natural: t.Optional[Token]
    +2292            side: t.Optional[Token]
    +2293            kind: t.Optional[Token]
    +2294
    +2295            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
     2296
    -2297        if join_alias:
    -2298            join.set("this", alias_(join.this, join_alias, table=True))
    -2299        return _apply_list_builder(
    -2300            join,
    -2301            instance=self,
    -2302            arg="joins",
    -2303            append=append,
    -2304            copy=copy,
    -2305            **opts,
    -2306        )
    +2297            if natural:
    +2298                join.set("natural", True)
    +2299            if side:
    +2300                join.set("side", side.text)
    +2301            if kind:
    +2302                join.set("kind", kind.text)
    +2303
    +2304        if on:
    +2305            on = and_(*ensure_collection(on), dialect=dialect, **opts)
    +2306            join.set("on", on)
    +2307
    +2308        if using:
    +2309            join = _apply_list_builder(
    +2310                *ensure_collection(using),
    +2311                instance=join,
    +2312                arg="using",
    +2313                append=append,
    +2314                copy=copy,
    +2315                **opts,
    +2316            )
    +2317
    +2318        if join_alias:
    +2319            join.set("this", alias_(join.this, join_alias, table=True))
    +2320        return _apply_list_builder(
    +2321            join,
    +2322            instance=self,
    +2323            arg="joins",
    +2324            append=append,
    +2325            copy=copy,
    +2326            **opts,
    +2327        )
     
    @@ -21511,37 +21882,37 @@ Otherwise, this resets the expressions.
    -
    2308    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2309        """
    -2310        Append to or set the WHERE expressions.
    -2311
    -2312        Example:
    -2313            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
    -2314            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
    -2315
    -2316        Args:
    -2317            *expressions (str | Expression): the SQL code strings to parse.
    -2318                If an `Expression` instance is passed, it will be used as-is.
    -2319                Multiple expressions are combined with an AND operator.
    -2320            append (bool): if `True`, AND the new expressions to any existing expression.
    -2321                Otherwise, this resets the expression.
    -2322            dialect (str): the dialect used to parse the input expressions.
    -2323            copy (bool): if `False`, modify this expression instance in-place.
    -2324            opts (kwargs): other options to use to parse the input expressions.
    -2325
    -2326        Returns:
    -2327            Select: the modified expression.
    -2328        """
    -2329        return _apply_conjunction_builder(
    -2330            *expressions,
    -2331            instance=self,
    -2332            arg="where",
    -2333            append=append,
    -2334            into=Where,
    -2335            dialect=dialect,
    -2336            copy=copy,
    -2337            **opts,
    -2338        )
    +            
    2329    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2330        """
    +2331        Append to or set the WHERE expressions.
    +2332
    +2333        Example:
    +2334            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
    +2335            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
    +2336
    +2337        Args:
    +2338            *expressions (str | Expression): the SQL code strings to parse.
    +2339                If an `Expression` instance is passed, it will be used as-is.
    +2340                Multiple expressions are combined with an AND operator.
    +2341            append (bool): if `True`, AND the new expressions to any existing expression.
    +2342                Otherwise, this resets the expression.
    +2343            dialect (str): the dialect used to parse the input expressions.
    +2344            copy (bool): if `False`, modify this expression instance in-place.
    +2345            opts (kwargs): other options to use to parse the input expressions.
    +2346
    +2347        Returns:
    +2348            Select: the modified expression.
    +2349        """
    +2350        return _apply_conjunction_builder(
    +2351            *expressions,
    +2352            instance=self,
    +2353            arg="where",
    +2354            append=append,
    +2355            into=Where,
    +2356            dialect=dialect,
    +2357            copy=copy,
    +2358            **opts,
    +2359        )
     
    @@ -21590,37 +21961,37 @@ Otherwise, this resets the expression.
    -
    2340    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2341        """
    -2342        Append to or set the HAVING expressions.
    -2343
    -2344        Example:
    -2345            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
    -2346            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
    -2347
    -2348        Args:
    -2349            *expressions (str | Expression): the SQL code strings to parse.
    -2350                If an `Expression` instance is passed, it will be used as-is.
    -2351                Multiple expressions are combined with an AND operator.
    -2352            append (bool): if `True`, AND the new expressions to any existing expression.
    -2353                Otherwise, this resets the expression.
    -2354            dialect (str): the dialect used to parse the input expressions.
    -2355            copy (bool): if `False`, modify this expression instance in-place.
    -2356            opts (kwargs): other options to use to parse the input expressions.
    -2357
    -2358        Returns:
    -2359            Select: the modified expression.
    -2360        """
    -2361        return _apply_conjunction_builder(
    -2362            *expressions,
    -2363            instance=self,
    -2364            arg="having",
    -2365            append=append,
    -2366            into=Having,
    -2367            dialect=dialect,
    -2368            copy=copy,
    -2369            **opts,
    -2370        )
    +            
    2361    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2362        """
    +2363        Append to or set the HAVING expressions.
    +2364
    +2365        Example:
    +2366            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
    +2367            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
    +2368
    +2369        Args:
    +2370            *expressions (str | Expression): the SQL code strings to parse.
    +2371                If an `Expression` instance is passed, it will be used as-is.
    +2372                Multiple expressions are combined with an AND operator.
    +2373            append (bool): if `True`, AND the new expressions to any existing expression.
    +2374                Otherwise, this resets the expression.
    +2375            dialect (str): the dialect used to parse the input expressions.
    +2376            copy (bool): if `False`, modify this expression instance in-place.
    +2377            opts (kwargs): other options to use to parse the input expressions.
    +2378
    +2379        Returns:
    +2380            Select: the modified expression.
    +2381        """
    +2382        return _apply_conjunction_builder(
    +2383            *expressions,
    +2384            instance=self,
    +2385            arg="having",
    +2386            append=append,
    +2387            into=Having,
    +2388            dialect=dialect,
    +2389            copy=copy,
    +2390            **opts,
    +2391        )
     
    @@ -21669,17 +22040,17 @@ Otherwise, this resets the expression.
    -
    2372    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    -2373        return _apply_list_builder(
    -2374            *expressions,
    -2375            instance=self,
    -2376            arg="windows",
    -2377            append=append,
    -2378            into=Window,
    -2379            dialect=dialect,
    -2380            copy=copy,
    -2381            **opts,
    -2382        )
    +            
    2393    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
    +2394        return _apply_list_builder(
    +2395            *expressions,
    +2396            instance=self,
    +2397            arg="windows",
    +2398            append=append,
    +2399            into=Window,
    +2400            dialect=dialect,
    +2401            copy=copy,
    +2402            **opts,
    +2403        )
     
    @@ -21697,24 +22068,24 @@ Otherwise, this resets the expression.
    -
    2384    def distinct(self, distinct=True, copy=True) -> Select:
    -2385        """
    -2386        Set the OFFSET expression.
    -2387
    -2388        Example:
    -2389            >>> Select().from_("tbl").select("x").distinct().sql()
    -2390            'SELECT DISTINCT x FROM tbl'
    -2391
    -2392        Args:
    -2393            distinct (bool): whether the Select should be distinct
    -2394            copy (bool): if `False`, modify this expression instance in-place.
    -2395
    -2396        Returns:
    -2397            Select: the modified expression.
    -2398        """
    -2399        instance = _maybe_copy(self, copy)
    -2400        instance.set("distinct", Distinct() if distinct else None)
    -2401        return instance
    +            
    2405    def distinct(self, distinct=True, copy=True) -> Select:
    +2406        """
    +2407        Set the OFFSET expression.
    +2408
    +2409        Example:
    +2410            >>> Select().from_("tbl").select("x").distinct().sql()
    +2411            'SELECT DISTINCT x FROM tbl'
    +2412
    +2413        Args:
    +2414            distinct (bool): whether the Select should be distinct
    +2415            copy (bool): if `False`, modify this expression instance in-place.
    +2416
    +2417        Returns:
    +2418            Select: the modified expression.
    +2419        """
    +2420        instance = _maybe_copy(self, copy)
    +2421        instance.set("distinct", Distinct() if distinct else None)
    +2422        return instance
     
    @@ -21757,42 +22128,42 @@ Otherwise, this resets the expression.
    -
    2403    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
    -2404        """
    -2405        Convert this expression to a CREATE TABLE AS statement.
    -2406
    -2407        Example:
    -2408            >>> Select().select("*").from_("tbl").ctas("x").sql()
    -2409            'CREATE TABLE x AS SELECT * FROM tbl'
    -2410
    -2411        Args:
    -2412            table (str | Expression): the SQL code string to parse as the table name.
    -2413                If another `Expression` instance is passed, it will be used as-is.
    -2414            properties (dict): an optional mapping of table properties
    -2415            dialect (str): the dialect used to parse the input table.
    -2416            copy (bool): if `False`, modify this expression instance in-place.
    -2417            opts (kwargs): other options to use to parse the input table.
    -2418
    -2419        Returns:
    -2420            Create: the CREATE TABLE AS expression
    -2421        """
    -2422        instance = _maybe_copy(self, copy)
    -2423        table_expression = maybe_parse(
    -2424            table,
    -2425            into=Table,
    -2426            dialect=dialect,
    -2427            **opts,
    -2428        )
    -2429        properties_expression = None
    -2430        if properties:
    -2431            properties_expression = Properties.from_dict(properties)
    -2432
    -2433        return Create(
    -2434            this=table_expression,
    -2435            kind="table",
    -2436            expression=instance,
    -2437            properties=properties_expression,
    -2438        )
    +            
    2424    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
    +2425        """
    +2426        Convert this expression to a CREATE TABLE AS statement.
    +2427
    +2428        Example:
    +2429            >>> Select().select("*").from_("tbl").ctas("x").sql()
    +2430            'CREATE TABLE x AS SELECT * FROM tbl'
    +2431
    +2432        Args:
    +2433            table (str | Expression): the SQL code string to parse as the table name.
    +2434                If another `Expression` instance is passed, it will be used as-is.
    +2435            properties (dict): an optional mapping of table properties
    +2436            dialect (str): the dialect used to parse the input table.
    +2437            copy (bool): if `False`, modify this expression instance in-place.
    +2438            opts (kwargs): other options to use to parse the input table.
    +2439
    +2440        Returns:
    +2441            Create: the CREATE TABLE AS expression
    +2442        """
    +2443        instance = _maybe_copy(self, copy)
    +2444        table_expression = maybe_parse(
    +2445            table,
    +2446            into=Table,
    +2447            dialect=dialect,
    +2448            **opts,
    +2449        )
    +2450        properties_expression = None
    +2451        if properties:
    +2452            properties_expression = Properties.from_dict(properties)
    +2453
    +2454        return Create(
    +2455            this=table_expression,
    +2456            kind="table",
    +2457            expression=instance,
    +2458            properties=properties_expression,
    +2459        )
     
    @@ -21839,29 +22210,29 @@ If another Expression instance is passed,
    -
    2440    def lock(self, update: bool = True, copy: bool = True) -> Select:
    -2441        """
    -2442        Set the locking read mode for this expression.
    -2443
    -2444        Examples:
    -2445            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
    -2446            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
    -2447
    -2448            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
    -2449            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
    -2450
    -2451        Args:
    -2452            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
    -2453            copy: if `False`, modify this expression instance in-place.
    -2454
    -2455        Returns:
    -2456            The modified expression.
    -2457        """
    -2458
    -2459        inst = _maybe_copy(self, copy)
    -2460        inst.set("lock", Lock(update=update))
    -2461
    -2462        return inst
    +            
    2461    def lock(self, update: bool = True, copy: bool = True) -> Select:
    +2462        """
    +2463        Set the locking read mode for this expression.
    +2464
    +2465        Examples:
    +2466            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
    +2467            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
    +2468
    +2469            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
    +2470            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
    +2471
    +2472        Args:
    +2473            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
    +2474            copy: if `False`, modify this expression instance in-place.
    +2475
    +2476        Returns:
    +2477            The modified expression.
    +2478        """
    +2479
    +2480        inst = _maybe_copy(self, copy)
    +2481        inst.set("lock", Lock(update=update))
    +2482
    +2483        return inst
     
    @@ -21934,6 +22305,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -21976,30 +22348,30 @@ If another Expression instance is passed,
    -
    2477class Subquery(DerivedTable, Unionable):
    -2478    arg_types = {
    -2479        "this": True,
    -2480        "alias": False,
    -2481        "with": False,
    -2482        **QUERY_MODIFIERS,
    -2483    }
    -2484
    -2485    def unnest(self):
    -2486        """
    -2487        Returns the first non subquery.
    -2488        """
    -2489        expression = self
    -2490        while isinstance(expression, Subquery):
    -2491            expression = expression.this
    -2492        return expression
    -2493
    -2494    @property
    -2495    def is_star(self) -> bool:
    -2496        return self.this.is_star
    -2497
    -2498    @property
    -2499    def output_name(self):
    -2500        return self.alias
    +            
    2498class Subquery(DerivedTable, Unionable):
    +2499    arg_types = {
    +2500        "this": True,
    +2501        "alias": False,
    +2502        "with": False,
    +2503        **QUERY_MODIFIERS,
    +2504    }
    +2505
    +2506    def unnest(self):
    +2507        """
    +2508        Returns the first non subquery.
    +2509        """
    +2510        expression = self
    +2511        while isinstance(expression, Subquery):
    +2512            expression = expression.this
    +2513        return expression
    +2514
    +2515    @property
    +2516    def is_star(self) -> bool:
    +2517        return self.this.is_star
    +2518
    +2519    @property
    +2520    def output_name(self):
    +2521        return self.alias
     
    @@ -22016,14 +22388,14 @@ If another Expression instance is passed,
    -
    2485    def unnest(self):
    -2486        """
    -2487        Returns the first non subquery.
    -2488        """
    -2489        expression = self
    -2490        while isinstance(expression, Subquery):
    -2491            expression = expression.this
    -2492        return expression
    +            
    2506    def unnest(self):
    +2507        """
    +2508        Returns the first non subquery.
    +2509        """
    +2510        expression = self
    +2511        while isinstance(expression, Subquery):
    +2512            expression = expression.this
    +2513        return expression
     
    @@ -22096,6 +22468,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22132,18 +22505,18 @@ If another Expression instance is passed,
    -
    2503class TableSample(Expression):
    -2504    arg_types = {
    -2505        "this": False,
    -2506        "method": False,
    -2507        "bucket_numerator": False,
    -2508        "bucket_denominator": False,
    -2509        "bucket_field": False,
    -2510        "percent": False,
    -2511        "rows": False,
    -2512        "size": False,
    -2513        "seed": False,
    -2514    }
    +            
    2524class TableSample(Expression):
    +2525    arg_types = {
    +2526        "this": False,
    +2527        "method": False,
    +2528        "bucket_numerator": False,
    +2529        "bucket_denominator": False,
    +2530        "bucket_field": False,
    +2531        "percent": False,
    +2532        "rows": False,
    +2533        "size": False,
    +2534        "seed": False,
    +2535    }
     
    @@ -22172,6 +22545,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22203,14 +22577,14 @@ If another Expression instance is passed,
    -
    2517class Tag(Expression):
    -2518    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
    -2519
    -2520    arg_types = {
    -2521        "this": False,
    -2522        "prefix": False,
    -2523        "postfix": False,
    -2524    }
    +            
    2538class Tag(Expression):
    +2539    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
    +2540
    +2541    arg_types = {
    +2542        "this": False,
    +2543        "prefix": False,
    +2544        "postfix": False,
    +2545    }
     
    @@ -22241,6 +22615,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22272,14 +22647,14 @@ If another Expression instance is passed,
    -
    2527class Pivot(Expression):
    -2528    arg_types = {
    -2529        "this": False,
    -2530        "alias": False,
    -2531        "expressions": True,
    -2532        "field": True,
    -2533        "unpivot": True,
    -2534    }
    +            
    2548class Pivot(Expression):
    +2549    arg_types = {
    +2550        "this": False,
    +2551        "alias": False,
    +2552        "expressions": True,
    +2553        "field": True,
    +2554        "unpivot": True,
    +2555    }
     
    @@ -22308,6 +22683,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22339,14 +22715,14 @@ If another Expression instance is passed,
    -
    2537class Window(Expression):
    -2538    arg_types = {
    -2539        "this": True,
    -2540        "partition_by": False,
    -2541        "order": False,
    -2542        "spec": False,
    -2543        "alias": False,
    -2544    }
    +            
    2558class Window(Expression):
    +2559    arg_types = {
    +2560        "this": True,
    +2561        "partition_by": False,
    +2562        "order": False,
    +2563        "spec": False,
    +2564        "alias": False,
    +2565    }
     
    @@ -22375,6 +22751,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22406,14 +22783,14 @@ If another Expression instance is passed,
    -
    2547class WindowSpec(Expression):
    -2548    arg_types = {
    -2549        "kind": False,
    -2550        "start": False,
    -2551        "start_side": False,
    -2552        "end": False,
    -2553        "end_side": False,
    -2554    }
    +            
    2568class WindowSpec(Expression):
    +2569    arg_types = {
    +2570        "kind": False,
    +2571        "start": False,
    +2572        "start_side": False,
    +2573        "end": False,
    +2574        "end_side": False,
    +2575    }
     
    @@ -22442,6 +22819,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22473,8 +22851,8 @@ If another Expression instance is passed,
    -
    2557class Where(Expression):
    -2558    pass
    +            
    2578class Where(Expression):
    +2579    pass
     
    @@ -22503,6 +22881,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22534,16 +22913,16 @@ If another Expression instance is passed,
    -
    2561class Star(Expression):
    -2562    arg_types = {"except": False, "replace": False}
    -2563
    -2564    @property
    -2565    def name(self) -> str:
    -2566        return "*"
    -2567
    -2568    @property
    -2569    def output_name(self):
    -2570        return self.name
    +            
    2582class Star(Expression):
    +2583    arg_types = {"except": False, "replace": False}
    +2584
    +2585    @property
    +2586    def name(self) -> str:
    +2587        return "*"
    +2588
    +2589    @property
    +2590    def output_name(self):
    +2591        return self.name
     
    @@ -22601,6 +22980,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22632,8 +23012,8 @@ If another Expression instance is passed,
    -
    2573class Parameter(Expression):
    -2574    arg_types = {"this": True, "wrapped": False}
    +            
    2594class Parameter(Expression):
    +2595    arg_types = {"this": True, "wrapped": False}
     
    @@ -22662,6 +23042,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22693,8 +23074,8 @@ If another Expression instance is passed,
    -
    2577class SessionParameter(Expression):
    -2578    arg_types = {"this": True, "kind": False}
    +            
    2598class SessionParameter(Expression):
    +2599    arg_types = {"this": True, "kind": False}
     
    @@ -22723,6 +23104,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22754,8 +23136,8 @@ If another Expression instance is passed,
    -
    2581class Placeholder(Expression):
    -2582    arg_types = {"this": False}
    +            
    2602class Placeholder(Expression):
    +2603    arg_types = {"this": False}
     
    @@ -22784,6 +23166,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22815,12 +23198,12 @@ If another Expression instance is passed,
    -
    2585class Null(Condition):
    -2586    arg_types: t.Dict[str, t.Any] = {}
    -2587
    -2588    @property
    -2589    def name(self) -> str:
    -2590        return "NULL"
    +            
    2606class Null(Condition):
    +2607    arg_types: t.Dict[str, t.Any] = {}
    +2608
    +2609    @property
    +2610    def name(self) -> str:
    +2611        return "NULL"
     
    @@ -22849,6 +23232,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22886,8 +23270,8 @@ If another Expression instance is passed,
    -
    2593class Boolean(Condition):
    -2594    pass
    +            
    2614class Boolean(Condition):
    +2615    pass
     
    @@ -22916,6 +23300,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -22953,122 +23338,122 @@ If another Expression instance is passed,
    -
    2597class DataType(Expression):
    -2598    arg_types = {
    -2599        "this": True,
    -2600        "expressions": False,
    -2601        "nested": False,
    -2602        "values": False,
    -2603        "prefix": False,
    -2604    }
    -2605
    -2606    class Type(AutoName):
    -2607        CHAR = auto()
    -2608        NCHAR = auto()
    -2609        VARCHAR = auto()
    -2610        NVARCHAR = auto()
    -2611        TEXT = auto()
    -2612        MEDIUMTEXT = auto()
    -2613        LONGTEXT = auto()
    -2614        MEDIUMBLOB = auto()
    -2615        LONGBLOB = auto()
    -2616        BINARY = auto()
    -2617        VARBINARY = auto()
    -2618        INT = auto()
    -2619        TINYINT = auto()
    -2620        SMALLINT = auto()
    -2621        BIGINT = auto()
    -2622        FLOAT = auto()
    -2623        DOUBLE = auto()
    -2624        DECIMAL = auto()
    -2625        BOOLEAN = auto()
    -2626        JSON = auto()
    -2627        JSONB = auto()
    -2628        INTERVAL = auto()
    -2629        TIME = auto()
    -2630        TIMESTAMP = auto()
    -2631        TIMESTAMPTZ = auto()
    -2632        TIMESTAMPLTZ = auto()
    -2633        DATE = auto()
    -2634        DATETIME = auto()
    -2635        ARRAY = auto()
    -2636        MAP = auto()
    -2637        UUID = auto()
    -2638        GEOGRAPHY = auto()
    -2639        GEOMETRY = auto()
    -2640        STRUCT = auto()
    -2641        NULLABLE = auto()
    -2642        HLLSKETCH = auto()
    -2643        HSTORE = auto()
    -2644        SUPER = auto()
    -2645        SERIAL = auto()
    -2646        SMALLSERIAL = auto()
    -2647        BIGSERIAL = auto()
    -2648        XML = auto()
    -2649        UNIQUEIDENTIFIER = auto()
    -2650        MONEY = auto()
    -2651        SMALLMONEY = auto()
    -2652        ROWVERSION = auto()
    -2653        IMAGE = auto()
    -2654        VARIANT = auto()
    -2655        OBJECT = auto()
    -2656        INET = auto()
    -2657        NULL = auto()
    -2658        UNKNOWN = auto()  # Sentinel value, useful for type annotation
    -2659
    -2660    TEXT_TYPES = {
    -2661        Type.CHAR,
    -2662        Type.NCHAR,
    -2663        Type.VARCHAR,
    -2664        Type.NVARCHAR,
    -2665        Type.TEXT,
    -2666    }
    -2667
    -2668    INTEGER_TYPES = {
    -2669        Type.INT,
    -2670        Type.TINYINT,
    -2671        Type.SMALLINT,
    -2672        Type.BIGINT,
    -2673    }
    -2674
    -2675    FLOAT_TYPES = {
    -2676        Type.FLOAT,
    -2677        Type.DOUBLE,
    -2678    }
    -2679
    -2680    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
    -2681
    -2682    TEMPORAL_TYPES = {
    -2683        Type.TIMESTAMP,
    -2684        Type.TIMESTAMPTZ,
    -2685        Type.TIMESTAMPLTZ,
    -2686        Type.DATE,
    -2687        Type.DATETIME,
    -2688    }
    -2689
    -2690    @classmethod
    -2691    def build(
    -2692        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
    -2693    ) -> DataType:
    -2694        from sqlglot import parse_one
    +            
    2618class DataType(Expression):
    +2619    arg_types = {
    +2620        "this": True,
    +2621        "expressions": False,
    +2622        "nested": False,
    +2623        "values": False,
    +2624        "prefix": False,
    +2625    }
    +2626
    +2627    class Type(AutoName):
    +2628        CHAR = auto()
    +2629        NCHAR = auto()
    +2630        VARCHAR = auto()
    +2631        NVARCHAR = auto()
    +2632        TEXT = auto()
    +2633        MEDIUMTEXT = auto()
    +2634        LONGTEXT = auto()
    +2635        MEDIUMBLOB = auto()
    +2636        LONGBLOB = auto()
    +2637        BINARY = auto()
    +2638        VARBINARY = auto()
    +2639        INT = auto()
    +2640        TINYINT = auto()
    +2641        SMALLINT = auto()
    +2642        BIGINT = auto()
    +2643        FLOAT = auto()
    +2644        DOUBLE = auto()
    +2645        DECIMAL = auto()
    +2646        BOOLEAN = auto()
    +2647        JSON = auto()
    +2648        JSONB = auto()
    +2649        INTERVAL = auto()
    +2650        TIME = auto()
    +2651        TIMESTAMP = auto()
    +2652        TIMESTAMPTZ = auto()
    +2653        TIMESTAMPLTZ = auto()
    +2654        DATE = auto()
    +2655        DATETIME = auto()
    +2656        ARRAY = auto()
    +2657        MAP = auto()
    +2658        UUID = auto()
    +2659        GEOGRAPHY = auto()
    +2660        GEOMETRY = auto()
    +2661        STRUCT = auto()
    +2662        NULLABLE = auto()
    +2663        HLLSKETCH = auto()
    +2664        HSTORE = auto()
    +2665        SUPER = auto()
    +2666        SERIAL = auto()
    +2667        SMALLSERIAL = auto()
    +2668        BIGSERIAL = auto()
    +2669        XML = auto()
    +2670        UNIQUEIDENTIFIER = auto()
    +2671        MONEY = auto()
    +2672        SMALLMONEY = auto()
    +2673        ROWVERSION = auto()
    +2674        IMAGE = auto()
    +2675        VARIANT = auto()
    +2676        OBJECT = auto()
    +2677        INET = auto()
    +2678        NULL = auto()
    +2679        UNKNOWN = auto()  # Sentinel value, useful for type annotation
    +2680
    +2681    TEXT_TYPES = {
    +2682        Type.CHAR,
    +2683        Type.NCHAR,
    +2684        Type.VARCHAR,
    +2685        Type.NVARCHAR,
    +2686        Type.TEXT,
    +2687    }
    +2688
    +2689    INTEGER_TYPES = {
    +2690        Type.INT,
    +2691        Type.TINYINT,
    +2692        Type.SMALLINT,
    +2693        Type.BIGINT,
    +2694    }
     2695
    -2696        if isinstance(dtype, str):
    -2697            if dtype.upper() in cls.Type.__members__:
    -2698                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
    -2699            else:
    -2700                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
    -2701            if data_type_exp is None:
    -2702                raise ValueError(f"Unparsable data type value: {dtype}")
    -2703        elif isinstance(dtype, DataType.Type):
    -2704            data_type_exp = DataType(this=dtype)
    -2705        elif isinstance(dtype, DataType):
    -2706            return dtype
    -2707        else:
    -2708            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
    -2709        return DataType(**{**data_type_exp.args, **kwargs})
    +2696    FLOAT_TYPES = {
    +2697        Type.FLOAT,
    +2698        Type.DOUBLE,
    +2699    }
    +2700
    +2701    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
    +2702
    +2703    TEMPORAL_TYPES = {
    +2704        Type.TIMESTAMP,
    +2705        Type.TIMESTAMPTZ,
    +2706        Type.TIMESTAMPLTZ,
    +2707        Type.DATE,
    +2708        Type.DATETIME,
    +2709    }
     2710
    -2711    def is_type(self, dtype: DataType.Type) -> bool:
    -2712        return self.this == dtype
    +2711    @classmethod
    +2712    def build(
    +2713        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
    +2714    ) -> DataType:
    +2715        from sqlglot import parse_one
    +2716
    +2717        if isinstance(dtype, str):
    +2718            if dtype.upper() in cls.Type.__members__:
    +2719                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
    +2720            else:
    +2721                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
    +2722            if data_type_exp is None:
    +2723                raise ValueError(f"Unparsable data type value: {dtype}")
    +2724        elif isinstance(dtype, DataType.Type):
    +2725            data_type_exp = DataType(this=dtype)
    +2726        elif isinstance(dtype, DataType):
    +2727            return dtype
    +2728        else:
    +2729            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
    +2730        return DataType(**{**data_type_exp.args, **kwargs})
    +2731
    +2732    def is_type(self, dtype: DataType.Type) -> bool:
    +2733        return self.this == dtype
     
    @@ -23086,26 +23471,26 @@ If another Expression instance is passed,
    -
    2690    @classmethod
    -2691    def build(
    -2692        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
    -2693    ) -> DataType:
    -2694        from sqlglot import parse_one
    -2695
    -2696        if isinstance(dtype, str):
    -2697            if dtype.upper() in cls.Type.__members__:
    -2698                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
    -2699            else:
    -2700                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
    -2701            if data_type_exp is None:
    -2702                raise ValueError(f"Unparsable data type value: {dtype}")
    -2703        elif isinstance(dtype, DataType.Type):
    -2704            data_type_exp = DataType(this=dtype)
    -2705        elif isinstance(dtype, DataType):
    -2706            return dtype
    -2707        else:
    -2708            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
    -2709        return DataType(**{**data_type_exp.args, **kwargs})
    +            
    2711    @classmethod
    +2712    def build(
    +2713        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
    +2714    ) -> DataType:
    +2715        from sqlglot import parse_one
    +2716
    +2717        if isinstance(dtype, str):
    +2718            if dtype.upper() in cls.Type.__members__:
    +2719                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
    +2720            else:
    +2721                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
    +2722            if data_type_exp is None:
    +2723                raise ValueError(f"Unparsable data type value: {dtype}")
    +2724        elif isinstance(dtype, DataType.Type):
    +2725            data_type_exp = DataType(this=dtype)
    +2726        elif isinstance(dtype, DataType):
    +2727            return dtype
    +2728        else:
    +2729            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
    +2730        return DataType(**{**data_type_exp.args, **kwargs})
     
    @@ -23123,8 +23508,8 @@ If another Expression instance is passed,
    -
    2711    def is_type(self, dtype: DataType.Type) -> bool:
    -2712        return self.this == dtype
    +            
    2732    def is_type(self, dtype: DataType.Type) -> bool:
    +2733        return self.this == dtype
     
    @@ -23154,6 +23539,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -23185,59 +23571,59 @@ If another Expression instance is passed,
    -
    2606    class Type(AutoName):
    -2607        CHAR = auto()
    -2608        NCHAR = auto()
    -2609        VARCHAR = auto()
    -2610        NVARCHAR = auto()
    -2611        TEXT = auto()
    -2612        MEDIUMTEXT = auto()
    -2613        LONGTEXT = auto()
    -2614        MEDIUMBLOB = auto()
    -2615        LONGBLOB = auto()
    -2616        BINARY = auto()
    -2617        VARBINARY = auto()
    -2618        INT = auto()
    -2619        TINYINT = auto()
    -2620        SMALLINT = auto()
    -2621        BIGINT = auto()
    -2622        FLOAT = auto()
    -2623        DOUBLE = auto()
    -2624        DECIMAL = auto()
    -2625        BOOLEAN = auto()
    -2626        JSON = auto()
    -2627        JSONB = auto()
    -2628        INTERVAL = auto()
    -2629        TIME = auto()
    -2630        TIMESTAMP = auto()
    -2631        TIMESTAMPTZ = auto()
    -2632        TIMESTAMPLTZ = auto()
    -2633        DATE = auto()
    -2634        DATETIME = auto()
    -2635        ARRAY = auto()
    -2636        MAP = auto()
    -2637        UUID = auto()
    -2638        GEOGRAPHY = auto()
    -2639        GEOMETRY = auto()
    -2640        STRUCT = auto()
    -2641        NULLABLE = auto()
    -2642        HLLSKETCH = auto()
    -2643        HSTORE = auto()
    -2644        SUPER = auto()
    -2645        SERIAL = auto()
    -2646        SMALLSERIAL = auto()
    -2647        BIGSERIAL = auto()
    -2648        XML = auto()
    -2649        UNIQUEIDENTIFIER = auto()
    -2650        MONEY = auto()
    -2651        SMALLMONEY = auto()
    -2652        ROWVERSION = auto()
    -2653        IMAGE = auto()
    -2654        VARIANT = auto()
    -2655        OBJECT = auto()
    -2656        INET = auto()
    -2657        NULL = auto()
    -2658        UNKNOWN = auto()  # Sentinel value, useful for type annotation
    +            
    2627    class Type(AutoName):
    +2628        CHAR = auto()
    +2629        NCHAR = auto()
    +2630        VARCHAR = auto()
    +2631        NVARCHAR = auto()
    +2632        TEXT = auto()
    +2633        MEDIUMTEXT = auto()
    +2634        LONGTEXT = auto()
    +2635        MEDIUMBLOB = auto()
    +2636        LONGBLOB = auto()
    +2637        BINARY = auto()
    +2638        VARBINARY = auto()
    +2639        INT = auto()
    +2640        TINYINT = auto()
    +2641        SMALLINT = auto()
    +2642        BIGINT = auto()
    +2643        FLOAT = auto()
    +2644        DOUBLE = auto()
    +2645        DECIMAL = auto()
    +2646        BOOLEAN = auto()
    +2647        JSON = auto()
    +2648        JSONB = auto()
    +2649        INTERVAL = auto()
    +2650        TIME = auto()
    +2651        TIMESTAMP = auto()
    +2652        TIMESTAMPTZ = auto()
    +2653        TIMESTAMPLTZ = auto()
    +2654        DATE = auto()
    +2655        DATETIME = auto()
    +2656        ARRAY = auto()
    +2657        MAP = auto()
    +2658        UUID = auto()
    +2659        GEOGRAPHY = auto()
    +2660        GEOMETRY = auto()
    +2661        STRUCT = auto()
    +2662        NULLABLE = auto()
    +2663        HLLSKETCH = auto()
    +2664        HSTORE = auto()
    +2665        SUPER = auto()
    +2666        SERIAL = auto()
    +2667        SMALLSERIAL = auto()
    +2668        BIGSERIAL = auto()
    +2669        XML = auto()
    +2670        UNIQUEIDENTIFIER = auto()
    +2671        MONEY = auto()
    +2672        SMALLMONEY = auto()
    +2673        ROWVERSION = auto()
    +2674        IMAGE = auto()
    +2675        VARIANT = auto()
    +2676        OBJECT = auto()
    +2677        INET = auto()
    +2678        NULL = auto()
    +2679        UNKNOWN = auto()  # Sentinel value, useful for type annotation
     
    @@ -23891,8 +24277,8 @@ If another Expression instance is passed,
    -
    2716class PseudoType(Expression):
    -2717    pass
    +            
    2737class PseudoType(Expression):
    +2738    pass
     
    @@ -23921,6 +24307,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -23952,8 +24339,8 @@ If another Expression instance is passed,
    -
    2720class StructKwarg(Expression):
    -2721    arg_types = {"this": True, "expression": True}
    +            
    2741class StructKwarg(Expression):
    +2742    arg_types = {"this": True, "expression": True}
     
    @@ -23982,6 +24369,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24013,8 +24401,8 @@ If another Expression instance is passed,
    -
    2725class SubqueryPredicate(Predicate):
    -2726    pass
    +            
    2746class SubqueryPredicate(Predicate):
    +2747    pass
     
    @@ -24043,6 +24431,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24080,8 +24469,8 @@ If another Expression instance is passed,
    -
    2729class All(SubqueryPredicate):
    -2730    pass
    +            
    2750class All(SubqueryPredicate):
    +2751    pass
     
    @@ -24110,6 +24499,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24147,8 +24537,8 @@ If another Expression instance is passed,
    -
    2733class Any(SubqueryPredicate):
    -2734    pass
    +            
    2754class Any(SubqueryPredicate):
    +2755    pass
     
    @@ -24177,6 +24567,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24214,8 +24605,8 @@ If another Expression instance is passed,
    -
    2737class Exists(SubqueryPredicate):
    -2738    pass
    +            
    2758class Exists(SubqueryPredicate):
    +2759    pass
     
    @@ -24244,6 +24635,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24281,8 +24673,8 @@ If another Expression instance is passed,
    -
    2743class Command(Expression):
    -2744    arg_types = {"this": True, "expression": False}
    +            
    2764class Command(Expression):
    +2765    arg_types = {"this": True, "expression": False}
     
    @@ -24311,6 +24703,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24342,8 +24735,8 @@ If another Expression instance is passed,
    -
    2747class Transaction(Expression):
    -2748    arg_types = {"this": False, "modes": False}
    +            
    2768class Transaction(Expression):
    +2769    arg_types = {"this": False, "modes": False}
     
    @@ -24372,6 +24765,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24403,8 +24797,8 @@ If another Expression instance is passed,
    -
    2751class Commit(Expression):
    -2752    arg_types = {"chain": False}
    +            
    2772class Commit(Expression):
    +2773    arg_types = {"chain": False}
     
    @@ -24433,6 +24827,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24464,8 +24859,8 @@ If another Expression instance is passed,
    -
    2755class Rollback(Expression):
    -2756    arg_types = {"savepoint": False}
    +            
    2776class Rollback(Expression):
    +2777    arg_types = {"savepoint": False}
     
    @@ -24494,6 +24889,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24525,8 +24921,8 @@ If another Expression instance is passed,
    -
    2759class AlterTable(Expression):
    -2760    arg_types = {"this": True, "actions": True, "exists": False}
    +            
    2780class AlterTable(Expression):
    +2781    arg_types = {"this": True, "actions": True, "exists": False}
     
    @@ -24555,6 +24951,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24586,8 +24983,8 @@ If another Expression instance is passed,
    -
    2763class AddConstraint(Expression):
    -2764    arg_types = {"this": False, "expression": False, "enforced": False}
    +            
    2784class AddConstraint(Expression):
    +2785    arg_types = {"this": False, "expression": False, "enforced": False}
     
    @@ -24616,6 +25013,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24647,8 +25045,8 @@ If another Expression instance is passed,
    -
    2767class DropPartition(Expression):
    -2768    arg_types = {"expressions": True, "exists": False}
    +            
    2788class DropPartition(Expression):
    +2789    arg_types = {"expressions": True, "exists": False}
     
    @@ -24677,6 +25075,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24708,16 +25107,16 @@ If another Expression instance is passed,
    -
    2772class Binary(Expression):
    -2773    arg_types = {"this": True, "expression": True}
    -2774
    -2775    @property
    -2776    def left(self):
    -2777        return self.this
    -2778
    -2779    @property
    -2780    def right(self):
    -2781        return self.expression
    +            
    2793class Binary(Expression):
    +2794    arg_types = {"this": True, "expression": True}
    +2795
    +2796    @property
    +2797    def left(self):
    +2798        return self.this
    +2799
    +2800    @property
    +2801    def right(self):
    +2802        return self.expression
     
    @@ -24746,6 +25145,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24777,8 +25177,8 @@ If another Expression instance is passed,
    -
    2784class Add(Binary):
    -2785    pass
    +            
    2805class Add(Binary):
    +2806    pass
     
    @@ -24807,6 +25207,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24838,8 +25239,8 @@ If another Expression instance is passed,
    -
    2788class Connector(Binary, Condition):
    -2789    pass
    +            
    2809class Connector(Binary, Condition):
    +2810    pass
     
    @@ -24868,6 +25269,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24905,8 +25307,8 @@ If another Expression instance is passed,
    -
    2792class And(Connector):
    -2793    pass
    +            
    2813class And(Connector):
    +2814    pass
     
    @@ -24935,6 +25337,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -24972,8 +25375,8 @@ If another Expression instance is passed,
    -
    2796class Or(Connector):
    -2797    pass
    +            
    2817class Or(Connector):
    +2818    pass
     
    @@ -25002,6 +25405,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25039,8 +25443,8 @@ If another Expression instance is passed,
    -
    2800class BitwiseAnd(Binary):
    -2801    pass
    +            
    2821class BitwiseAnd(Binary):
    +2822    pass
     
    @@ -25069,6 +25473,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25100,8 +25505,8 @@ If another Expression instance is passed,
    -
    2804class BitwiseLeftShift(Binary):
    -2805    pass
    +            
    2825class BitwiseLeftShift(Binary):
    +2826    pass
     
    @@ -25130,6 +25535,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25161,8 +25567,8 @@ If another Expression instance is passed,
    -
    2808class BitwiseOr(Binary):
    -2809    pass
    +            
    2829class BitwiseOr(Binary):
    +2830    pass
     
    @@ -25191,6 +25597,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25222,8 +25629,8 @@ If another Expression instance is passed,
    -
    2812class BitwiseRightShift(Binary):
    -2813    pass
    +            
    2833class BitwiseRightShift(Binary):
    +2834    pass
     
    @@ -25252,6 +25659,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25283,8 +25691,8 @@ If another Expression instance is passed,
    -
    2816class BitwiseXor(Binary):
    -2817    pass
    +            
    2837class BitwiseXor(Binary):
    +2838    pass
     
    @@ -25313,6 +25721,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25344,8 +25753,8 @@ If another Expression instance is passed,
    -
    2820class Div(Binary):
    -2821    pass
    +            
    2841class Div(Binary):
    +2842    pass
     
    @@ -25374,6 +25783,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25390,6 +25800,68 @@ If another Expression instance is passed,
    dump
    load
    +
    + +
    + +
    + +
    + + class + Overlaps(Binary): + + + +
    + +
    2845class Overlaps(Binary):
    +2846    pass
    +
    + + + + + @@ -25405,10 +25877,10 @@ If another Expression instance is passed,
    -
    2824class Dot(Binary):
    -2825    @property
    -2826    def name(self) -> str:
    -2827        return self.expression.name
    +            
    2849class Dot(Binary):
    +2850    @property
    +2851    def name(self) -> str:
    +2852        return self.expression.name
     
    @@ -25437,6 +25909,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25468,8 +25941,8 @@ If another Expression instance is passed,
    -
    2830class DPipe(Binary):
    -2831    pass
    +            
    2855class DPipe(Binary):
    +2856    pass
     
    @@ -25498,6 +25971,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25529,8 +26003,8 @@ If another Expression instance is passed,
    -
    2834class EQ(Binary, Predicate):
    -2835    pass
    +            
    2859class EQ(Binary, Predicate):
    +2860    pass
     
    @@ -25559,6 +26033,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25596,8 +26071,8 @@ If another Expression instance is passed,
    -
    2838class NullSafeEQ(Binary, Predicate):
    -2839    pass
    +            
    2863class NullSafeEQ(Binary, Predicate):
    +2864    pass
     
    @@ -25626,6 +26101,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25663,8 +26139,8 @@ If another Expression instance is passed,
    -
    2842class NullSafeNEQ(Binary, Predicate):
    -2843    pass
    +            
    2867class NullSafeNEQ(Binary, Predicate):
    +2868    pass
     
    @@ -25693,6 +26169,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25730,8 +26207,8 @@ If another Expression instance is passed,
    -
    2846class Distance(Binary):
    -2847    pass
    +            
    2871class Distance(Binary):
    +2872    pass
     
    @@ -25760,6 +26237,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25791,8 +26269,8 @@ If another Expression instance is passed,
    -
    2850class Escape(Binary):
    -2851    pass
    +            
    2875class Escape(Binary):
    +2876    pass
     
    @@ -25821,6 +26299,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25852,8 +26331,8 @@ If another Expression instance is passed,
    -
    2854class Glob(Binary, Predicate):
    -2855    pass
    +            
    2879class Glob(Binary, Predicate):
    +2880    pass
     
    @@ -25882,6 +26361,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25919,8 +26399,8 @@ If another Expression instance is passed,
    -
    2858class GT(Binary, Predicate):
    -2859    pass
    +            
    2883class GT(Binary, Predicate):
    +2884    pass
     
    @@ -25949,6 +26429,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -25986,8 +26467,8 @@ If another Expression instance is passed,
    -
    2862class GTE(Binary, Predicate):
    -2863    pass
    +            
    2887class GTE(Binary, Predicate):
    +2888    pass
     
    @@ -26016,6 +26497,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26053,8 +26535,8 @@ If another Expression instance is passed,
    -
    2866class ILike(Binary, Predicate):
    -2867    pass
    +            
    2891class ILike(Binary, Predicate):
    +2892    pass
     
    @@ -26083,6 +26565,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26120,8 +26603,8 @@ If another Expression instance is passed,
    -
    2870class ILikeAny(Binary, Predicate):
    -2871    pass
    +            
    2895class ILikeAny(Binary, Predicate):
    +2896    pass
     
    @@ -26150,6 +26633,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26187,8 +26671,8 @@ If another Expression instance is passed,
    -
    2874class IntDiv(Binary):
    -2875    pass
    +            
    2899class IntDiv(Binary):
    +2900    pass
     
    @@ -26217,6 +26701,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26248,8 +26733,8 @@ If another Expression instance is passed,
    -
    2878class Is(Binary, Predicate):
    -2879    pass
    +            
    2903class Is(Binary, Predicate):
    +2904    pass
     
    @@ -26278,6 +26763,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26315,8 +26801,8 @@ If another Expression instance is passed,
    -
    2882class Kwarg(Binary):
    -2883    """Kwarg in special functions like func(kwarg => y)."""
    +            
    2907class Kwarg(Binary):
    +2908    """Kwarg in special functions like func(kwarg => y)."""
     
    @@ -26347,6 +26833,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26378,8 +26865,8 @@ If another Expression instance is passed,
    -
    2886class Like(Binary, Predicate):
    -2887    pass
    +            
    2911class Like(Binary, Predicate):
    +2912    pass
     
    @@ -26408,6 +26895,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26445,8 +26933,8 @@ If another Expression instance is passed,
    -
    2890class LikeAny(Binary, Predicate):
    -2891    pass
    +            
    2915class LikeAny(Binary, Predicate):
    +2916    pass
     
    @@ -26475,6 +26963,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26512,8 +27001,8 @@ If another Expression instance is passed,
    -
    2894class LT(Binary, Predicate):
    -2895    pass
    +            
    2919class LT(Binary, Predicate):
    +2920    pass
     
    @@ -26542,6 +27031,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26579,8 +27069,8 @@ If another Expression instance is passed,
    -
    2898class LTE(Binary, Predicate):
    -2899    pass
    +            
    2923class LTE(Binary, Predicate):
    +2924    pass
     
    @@ -26609,6 +27099,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26646,8 +27137,8 @@ If another Expression instance is passed,
    -
    2902class Mod(Binary):
    -2903    pass
    +            
    2927class Mod(Binary):
    +2928    pass
     
    @@ -26676,6 +27167,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26707,8 +27199,8 @@ If another Expression instance is passed,
    -
    2906class Mul(Binary):
    -2907    pass
    +            
    2931class Mul(Binary):
    +2932    pass
     
    @@ -26737,6 +27229,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26768,8 +27261,8 @@ If another Expression instance is passed,
    -
    2910class NEQ(Binary, Predicate):
    -2911    pass
    +            
    2935class NEQ(Binary, Predicate):
    +2936    pass
     
    @@ -26798,6 +27291,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26835,8 +27329,8 @@ If another Expression instance is passed,
    -
    2914class SimilarTo(Binary, Predicate):
    -2915    pass
    +            
    2939class SimilarTo(Binary, Predicate):
    +2940    pass
     
    @@ -26865,6 +27359,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26902,8 +27397,8 @@ If another Expression instance is passed,
    -
    2918class Slice(Binary):
    -2919    arg_types = {"this": False, "expression": False}
    +            
    2943class Slice(Binary):
    +2944    arg_types = {"this": False, "expression": False}
     
    @@ -26932,6 +27427,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -26963,8 +27459,8 @@ If another Expression instance is passed,
    -
    2922class Sub(Binary):
    -2923    pass
    +            
    2947class Sub(Binary):
    +2948    pass
     
    @@ -26993,6 +27489,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27024,8 +27521,8 @@ If another Expression instance is passed,
    -
    2928class Unary(Expression):
    -2929    pass
    +            
    2953class Unary(Expression):
    +2954    pass
     
    @@ -27054,6 +27551,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27085,8 +27583,8 @@ If another Expression instance is passed,
    -
    2932class BitwiseNot(Unary):
    -2933    pass
    +            
    2957class BitwiseNot(Unary):
    +2958    pass
     
    @@ -27115,6 +27613,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27146,8 +27645,8 @@ If another Expression instance is passed,
    -
    2936class Not(Unary, Condition):
    -2937    pass
    +            
    2961class Not(Unary, Condition):
    +2962    pass
     
    @@ -27176,6 +27675,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27213,8 +27713,8 @@ If another Expression instance is passed,
    -
    2940class Paren(Unary, Condition):
    -2941    arg_types = {"this": True, "with": False}
    +            
    2965class Paren(Unary, Condition):
    +2966    arg_types = {"this": True, "with": False}
     
    @@ -27243,6 +27743,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27280,8 +27781,8 @@ If another Expression instance is passed,
    -
    2944class Neg(Unary):
    -2945    pass
    +            
    2969class Neg(Unary):
    +2970    pass
     
    @@ -27310,6 +27811,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27341,12 +27843,12 @@ If another Expression instance is passed,
    -
    2949class Alias(Expression):
    -2950    arg_types = {"this": True, "alias": False}
    -2951
    -2952    @property
    -2953    def output_name(self):
    -2954        return self.alias
    +            
    2974class Alias(Expression):
    +2975    arg_types = {"this": True, "alias": False}
    +2976
    +2977    @property
    +2978    def output_name(self):
    +2979        return self.alias
     
    @@ -27404,6 +27906,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27435,12 +27938,12 @@ If another Expression instance is passed,
    -
    2957class Aliases(Expression):
    -2958    arg_types = {"this": True, "expressions": True}
    -2959
    -2960    @property
    -2961    def aliases(self):
    -2962        return self.expressions
    +            
    2982class Aliases(Expression):
    +2983    arg_types = {"this": True, "expressions": True}
    +2984
    +2985    @property
    +2986    def aliases(self):
    +2987        return self.expressions
     
    @@ -27469,6 +27972,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27500,8 +28004,8 @@ If another Expression instance is passed,
    -
    2965class AtTimeZone(Expression):
    -2966    arg_types = {"this": True, "zone": True}
    +            
    2990class AtTimeZone(Expression):
    +2991    arg_types = {"this": True, "zone": True}
     
    @@ -27530,6 +28034,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27561,8 +28066,8 @@ If another Expression instance is passed,
    -
    2969class Between(Predicate):
    -2970    arg_types = {"this": True, "low": True, "high": True}
    +            
    2994class Between(Predicate):
    +2995    arg_types = {"this": True, "low": True, "high": True}
     
    @@ -27591,6 +28096,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27628,8 +28134,8 @@ If another Expression instance is passed,
    -
    2973class Bracket(Condition):
    -2974    arg_types = {"this": True, "expressions": True}
    +            
    2998class Bracket(Condition):
    +2999    arg_types = {"this": True, "expressions": True}
     
    @@ -27658,6 +28164,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27695,8 +28202,8 @@ If another Expression instance is passed,
    -
    2977class Distinct(Expression):
    -2978    arg_types = {"expressions": False, "on": False}
    +            
    3002class Distinct(Expression):
    +3003    arg_types = {"expressions": False, "on": False}
     
    @@ -27725,6 +28232,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27756,15 +28264,15 @@ If another Expression instance is passed,
    -
    2981class In(Predicate):
    -2982    arg_types = {
    -2983        "this": True,
    -2984        "expressions": False,
    -2985        "query": False,
    -2986        "unnest": False,
    -2987        "field": False,
    -2988        "is_global": False,
    -2989    }
    +            
    3006class In(Predicate):
    +3007    arg_types = {
    +3008        "this": True,
    +3009        "expressions": False,
    +3010        "query": False,
    +3011        "unnest": False,
    +3012        "field": False,
    +3013        "is_global": False,
    +3014    }
     
    @@ -27793,6 +28301,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27830,18 +28339,18 @@ If another Expression instance is passed,
    -
    2992class TimeUnit(Expression):
    -2993    """Automatically converts unit arg into a var."""
    -2994
    -2995    arg_types = {"unit": False}
    -2996
    -2997    def __init__(self, **args):
    -2998        unit = args.get("unit")
    -2999        if isinstance(unit, Column):
    -3000            args["unit"] = Var(this=unit.name)
    -3001        elif isinstance(unit, Week):
    -3002            unit.set("this", Var(this=unit.this.name))
    -3003        super().__init__(**args)
    +            
    3017class TimeUnit(Expression):
    +3018    """Automatically converts unit arg into a var."""
    +3019
    +3020    arg_types = {"unit": False}
    +3021
    +3022    def __init__(self, **args):
    +3023        unit = args.get("unit")
    +3024        if isinstance(unit, Column):
    +3025            args["unit"] = Var(this=unit.name)
    +3026        elif isinstance(unit, Week):
    +3027            unit.set("this", Var(this=unit.this.name))
    +3028        super().__init__(**args)
     
    @@ -27859,13 +28368,13 @@ If another Expression instance is passed,
    -
    2997    def __init__(self, **args):
    -2998        unit = args.get("unit")
    -2999        if isinstance(unit, Column):
    -3000            args["unit"] = Var(this=unit.name)
    -3001        elif isinstance(unit, Week):
    -3002            unit.set("this", Var(this=unit.this.name))
    -3003        super().__init__(**args)
    +            
    3022    def __init__(self, **args):
    +3023        unit = args.get("unit")
    +3024        if isinstance(unit, Column):
    +3025            args["unit"] = Var(this=unit.name)
    +3026        elif isinstance(unit, Week):
    +3027            unit.set("this", Var(this=unit.this.name))
    +3028        super().__init__(**args)
     
    @@ -27894,6 +28403,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27925,8 +28435,8 @@ If another Expression instance is passed,
    -
    3006class Interval(TimeUnit):
    -3007    arg_types = {"this": False, "unit": False}
    +            
    3031class Interval(TimeUnit):
    +3032    arg_types = {"this": False, "unit": False}
     
    @@ -27958,6 +28468,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -27989,8 +28500,8 @@ If another Expression instance is passed,
    -
    3010class IgnoreNulls(Expression):
    -3011    pass
    +            
    3035class IgnoreNulls(Expression):
    +3036    pass
     
    @@ -28019,6 +28530,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28050,8 +28562,8 @@ If another Expression instance is passed,
    -
    3014class RespectNulls(Expression):
    -3015    pass
    +            
    3039class RespectNulls(Expression):
    +3040    pass
     
    @@ -28080,6 +28592,7 @@ If another Expression instance is passed,
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28111,53 +28624,53 @@ If another Expression instance is passed,
    -
    3019class Func(Condition):
    -3020    """
    -3021    The base class for all function expressions.
    -3022
    -3023    Attributes:
    -3024        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
    -3025            treated as a variable length argument and the argument's value will be stored as a list.
    -3026        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
    -3027            for this function expression. These values are used to map this node to a name during parsing
    -3028            as well as to provide the function's name during SQL string generation. By default the SQL
    -3029            name is set to the expression's class name transformed to snake case.
    -3030    """
    -3031
    -3032    is_var_len_args = False
    -3033
    -3034    @classmethod
    -3035    def from_arg_list(cls, args):
    -3036        if cls.is_var_len_args:
    -3037            all_arg_keys = list(cls.arg_types)
    -3038            # If this function supports variable length argument treat the last argument as such.
    -3039            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
    -3040            num_non_var = len(non_var_len_arg_keys)
    -3041
    -3042            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
    -3043            args_dict[all_arg_keys[-1]] = args[num_non_var:]
    -3044        else:
    -3045            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
    -3046
    -3047        return cls(**args_dict)
    -3048
    -3049    @classmethod
    -3050    def sql_names(cls):
    -3051        if cls is Func:
    -3052            raise NotImplementedError(
    -3053                "SQL name is only supported by concrete function implementations"
    -3054            )
    -3055        if "_sql_names" not in cls.__dict__:
    -3056            cls._sql_names = [camel_to_snake_case(cls.__name__)]
    -3057        return cls._sql_names
    +            
    3044class Func(Condition):
    +3045    """
    +3046    The base class for all function expressions.
    +3047
    +3048    Attributes:
    +3049        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
    +3050            treated as a variable length argument and the argument's value will be stored as a list.
    +3051        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
    +3052            for this function expression. These values are used to map this node to a name during parsing
    +3053            as well as to provide the function's name during SQL string generation. By default the SQL
    +3054            name is set to the expression's class name transformed to snake case.
    +3055    """
    +3056
    +3057    is_var_len_args = False
     3058
     3059    @classmethod
    -3060    def sql_name(cls):
    -3061        return cls.sql_names()[0]
    -3062
    -3063    @classmethod
    -3064    def default_parser_mappings(cls):
    -3065        return {name: cls.from_arg_list for name in cls.sql_names()}
    +3060    def from_arg_list(cls, args):
    +3061        if cls.is_var_len_args:
    +3062            all_arg_keys = list(cls.arg_types)
    +3063            # If this function supports variable length argument treat the last argument as such.
    +3064            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
    +3065            num_non_var = len(non_var_len_arg_keys)
    +3066
    +3067            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
    +3068            args_dict[all_arg_keys[-1]] = args[num_non_var:]
    +3069        else:
    +3070            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
    +3071
    +3072        return cls(**args_dict)
    +3073
    +3074    @classmethod
    +3075    def sql_names(cls):
    +3076        if cls is Func:
    +3077            raise NotImplementedError(
    +3078                "SQL name is only supported by concrete function implementations"
    +3079            )
    +3080        if "_sql_names" not in cls.__dict__:
    +3081            cls._sql_names = [camel_to_snake_case(cls.__name__)]
    +3082        return cls._sql_names
    +3083
    +3084    @classmethod
    +3085    def sql_name(cls):
    +3086        return cls.sql_names()[0]
    +3087
    +3088    @classmethod
    +3089    def default_parser_mappings(cls):
    +3090        return {name: cls.from_arg_list for name in cls.sql_names()}
     
    @@ -28188,20 +28701,20 @@ name is set to the expression's class name transformed to snake case.
    -
    3034    @classmethod
    -3035    def from_arg_list(cls, args):
    -3036        if cls.is_var_len_args:
    -3037            all_arg_keys = list(cls.arg_types)
    -3038            # If this function supports variable length argument treat the last argument as such.
    -3039            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
    -3040            num_non_var = len(non_var_len_arg_keys)
    -3041
    -3042            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
    -3043            args_dict[all_arg_keys[-1]] = args[num_non_var:]
    -3044        else:
    -3045            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
    -3046
    -3047        return cls(**args_dict)
    +            
    3059    @classmethod
    +3060    def from_arg_list(cls, args):
    +3061        if cls.is_var_len_args:
    +3062            all_arg_keys = list(cls.arg_types)
    +3063            # If this function supports variable length argument treat the last argument as such.
    +3064            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
    +3065            num_non_var = len(non_var_len_arg_keys)
    +3066
    +3067            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
    +3068            args_dict[all_arg_keys[-1]] = args[num_non_var:]
    +3069        else:
    +3070            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
    +3071
    +3072        return cls(**args_dict)
     
    @@ -28220,15 +28733,15 @@ name is set to the expression's class name transformed to snake case.
    -
    3049    @classmethod
    -3050    def sql_names(cls):
    -3051        if cls is Func:
    -3052            raise NotImplementedError(
    -3053                "SQL name is only supported by concrete function implementations"
    -3054            )
    -3055        if "_sql_names" not in cls.__dict__:
    -3056            cls._sql_names = [camel_to_snake_case(cls.__name__)]
    -3057        return cls._sql_names
    +            
    3074    @classmethod
    +3075    def sql_names(cls):
    +3076        if cls is Func:
    +3077            raise NotImplementedError(
    +3078                "SQL name is only supported by concrete function implementations"
    +3079            )
    +3080        if "_sql_names" not in cls.__dict__:
    +3081            cls._sql_names = [camel_to_snake_case(cls.__name__)]
    +3082        return cls._sql_names
     
    @@ -28247,9 +28760,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3059    @classmethod
    -3060    def sql_name(cls):
    -3061        return cls.sql_names()[0]
    +            
    3084    @classmethod
    +3085    def sql_name(cls):
    +3086        return cls.sql_names()[0]
     
    @@ -28268,9 +28781,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3063    @classmethod
    -3064    def default_parser_mappings(cls):
    -3065        return {name: cls.from_arg_list for name in cls.sql_names()}
    +            
    3088    @classmethod
    +3089    def default_parser_mappings(cls):
    +3090        return {name: cls.from_arg_list for name in cls.sql_names()}
     
    @@ -28300,6 +28813,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28337,8 +28851,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3068class AggFunc(Func):
    -3069    pass
    +            
    3093class AggFunc(Func):
    +3094    pass
     
    @@ -28367,6 +28881,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28411,8 +28926,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3072class Abs(Func):
    -3073    pass
    +            
    3097class Abs(Func):
    +3098    pass
     
    @@ -28441,6 +28956,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28485,9 +29001,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3076class Anonymous(Func):
    -3077    arg_types = {"this": True, "expressions": False}
    -3078    is_var_len_args = True
    +            
    3101class Anonymous(Func):
    +3102    arg_types = {"this": True, "expressions": False}
    +3103    is_var_len_args = True
     
    @@ -28516,6 +29032,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28560,8 +29077,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3081class ApproxDistinct(AggFunc):
    -3082    arg_types = {"this": True, "accuracy": False}
    +            
    3106class ApproxDistinct(AggFunc):
    +3107    arg_types = {"this": True, "accuracy": False}
     
    @@ -28590,6 +29107,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28634,9 +29152,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3085class Array(Func):
    -3086    arg_types = {"expressions": False}
    -3087    is_var_len_args = True
    +            
    3110class Array(Func):
    +3111    arg_types = {"expressions": False}
    +3112    is_var_len_args = True
     
    @@ -28665,6 +29183,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28709,8 +29228,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3090class GenerateSeries(Func):
    -3091    arg_types = {"start": True, "end": True, "step": False}
    +            
    3115class GenerateSeries(Func):
    +3116    arg_types = {"start": True, "end": True, "step": False}
     
    @@ -28739,6 +29258,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28783,8 +29303,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3094class ArrayAgg(AggFunc):
    -3095    pass
    +            
    3119class ArrayAgg(AggFunc):
    +3120    pass
     
    @@ -28813,6 +29333,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28857,8 +29378,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3098class ArrayAll(Func):
    -3099    arg_types = {"this": True, "expression": True}
    +            
    3123class ArrayAll(Func):
    +3124    arg_types = {"this": True, "expression": True}
     
    @@ -28887,6 +29408,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -28931,8 +29453,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3102class ArrayAny(Func):
    -3103    arg_types = {"this": True, "expression": True}
    +            
    3127class ArrayAny(Func):
    +3128    arg_types = {"this": True, "expression": True}
     
    @@ -28961,6 +29483,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29005,9 +29528,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3106class ArrayConcat(Func):
    -3107    arg_types = {"this": True, "expressions": False}
    -3108    is_var_len_args = True
    +            
    3131class ArrayConcat(Func):
    +3132    arg_types = {"this": True, "expressions": False}
    +3133    is_var_len_args = True
     
    @@ -29036,6 +29559,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29080,8 +29604,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3111class ArrayContains(Func):
    -3112    arg_types = {"this": True, "expression": True}
    +            
    3136class ArrayContains(Func):
    +3137    arg_types = {"this": True, "expression": True}
     
    @@ -29110,6 +29634,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29154,9 +29679,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3115class ArrayFilter(Func):
    -3116    arg_types = {"this": True, "expression": True}
    -3117    _sql_names = ["FILTER", "ARRAY_FILTER"]
    +            
    3140class ArrayFilter(Func):
    +3141    arg_types = {"this": True, "expression": True}
    +3142    _sql_names = ["FILTER", "ARRAY_FILTER"]
     
    @@ -29185,6 +29710,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29214,6 +29740,81 @@ name is set to the expression's class name transformed to snake case.
    or_
    not_
    +
    + +
    + +
    + +
    + + class + ArrayJoin(Func): + + + +
    + +
    3145class ArrayJoin(Func):
    +3146    arg_types = {"this": True, "expression": True, "null": False}
    +
    + + + + + @@ -29229,8 +29830,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3120class ArraySize(Func):
    -3121    arg_types = {"this": True, "expression": False}
    +            
    3149class ArraySize(Func):
    +3150    arg_types = {"this": True, "expression": False}
     
    @@ -29259,6 +29860,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29303,8 +29905,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3124class ArraySort(Func):
    -3125    arg_types = {"this": True, "expression": False}
    +            
    3153class ArraySort(Func):
    +3154    arg_types = {"this": True, "expression": False}
     
    @@ -29333,6 +29935,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29377,8 +29980,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3128class ArraySum(Func):
    -3129    pass
    +            
    3157class ArraySum(Func):
    +3158    pass
     
    @@ -29407,6 +30010,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29451,8 +30055,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3132class ArrayUnionAgg(AggFunc):
    -3133    pass
    +            
    3161class ArrayUnionAgg(AggFunc):
    +3162    pass
     
    @@ -29481,6 +30085,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29525,8 +30130,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3136class Avg(AggFunc):
    -3137    pass
    +            
    3165class Avg(AggFunc):
    +3166    pass
     
    @@ -29555,6 +30160,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29599,8 +30205,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3140class AnyValue(AggFunc):
    -3141    pass
    +            
    3169class AnyValue(AggFunc):
    +3170    pass
     
    @@ -29629,6 +30235,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29673,8 +30280,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3144class Case(Func):
    -3145    arg_types = {"this": False, "ifs": True, "default": False}
    +            
    3173class Case(Func):
    +3174    arg_types = {"this": False, "ifs": True, "default": False}
     
    @@ -29703,6 +30310,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29747,23 +30355,23 @@ name is set to the expression's class name transformed to snake case.
    -
    3148class Cast(Func):
    -3149    arg_types = {"this": True, "to": True}
    -3150
    -3151    @property
    -3152    def name(self) -> str:
    -3153        return self.this.name
    -3154
    -3155    @property
    -3156    def to(self):
    -3157        return self.args["to"]
    -3158
    -3159    @property
    -3160    def output_name(self):
    -3161        return self.name
    -3162
    -3163    def is_type(self, dtype: DataType.Type) -> bool:
    -3164        return self.to.is_type(dtype)
    +            
    3177class Cast(Func):
    +3178    arg_types = {"this": True, "to": True}
    +3179
    +3180    @property
    +3181    def name(self) -> str:
    +3182        return self.this.name
    +3183
    +3184    @property
    +3185    def to(self):
    +3186        return self.args["to"]
    +3187
    +3188    @property
    +3189    def output_name(self):
    +3190        return self.name
    +3191
    +3192    def is_type(self, dtype: DataType.Type) -> bool:
    +3193        return self.to.is_type(dtype)
     
    @@ -29810,8 +30418,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3163    def is_type(self, dtype: DataType.Type) -> bool:
    -3164        return self.to.is_type(dtype)
    +            
    3192    def is_type(self, dtype: DataType.Type) -> bool:
    +3193        return self.to.is_type(dtype)
     
    @@ -29840,6 +30448,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29884,8 +30493,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3167class Collate(Binary):
    -3168    pass
    +            
    3196class Collate(Binary):
    +3197    pass
     
    @@ -29914,6 +30523,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -29945,8 +30555,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3171class TryCast(Cast):
    -3172    pass
    +            
    3200class TryCast(Cast):
    +3201    pass
     
    @@ -29974,6 +30584,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30023,9 +30634,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3175class Ceil(Func):
    -3176    arg_types = {"this": True, "decimals": False}
    -3177    _sql_names = ["CEIL", "CEILING"]
    +            
    3204class Ceil(Func):
    +3205    arg_types = {"this": True, "decimals": False}
    +3206    _sql_names = ["CEIL", "CEILING"]
     
    @@ -30054,6 +30665,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30098,9 +30710,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3180class Coalesce(Func):
    -3181    arg_types = {"this": True, "expressions": False}
    -3182    is_var_len_args = True
    +            
    3209class Coalesce(Func):
    +3210    arg_types = {"this": True, "expressions": False}
    +3211    is_var_len_args = True
     
    @@ -30129,6 +30741,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30173,9 +30786,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3185class Concat(Func):
    -3186    arg_types = {"expressions": True}
    -3187    is_var_len_args = True
    +            
    3214class Concat(Func):
    +3215    arg_types = {"expressions": True}
    +3216    is_var_len_args = True
     
    @@ -30204,6 +30817,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30248,8 +30862,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3190class ConcatWs(Concat):
    -3191    _sql_names = ["CONCAT_WS"]
    +            
    3219class ConcatWs(Concat):
    +3220    _sql_names = ["CONCAT_WS"]
     
    @@ -30278,6 +30892,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30322,8 +30937,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3194class Count(AggFunc):
    -3195    arg_types = {"this": False}
    +            
    3223class Count(AggFunc):
    +3224    arg_types = {"this": False}
     
    @@ -30352,6 +30967,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30396,8 +31012,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3198class CurrentDate(Func):
    -3199    arg_types = {"this": False}
    +            
    3227class CurrentDate(Func):
    +3228    arg_types = {"this": False}
     
    @@ -30426,6 +31042,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30470,8 +31087,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3202class CurrentDatetime(Func):
    -3203    arg_types = {"this": False}
    +            
    3231class CurrentDatetime(Func):
    +3232    arg_types = {"this": False}
     
    @@ -30500,6 +31117,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30544,8 +31162,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3206class CurrentTime(Func):
    -3207    arg_types = {"this": False}
    +            
    3235class CurrentTime(Func):
    +3236    arg_types = {"this": False}
     
    @@ -30574,6 +31192,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30618,8 +31237,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3210class CurrentTimestamp(Func):
    -3211    arg_types = {"this": False}
    +            
    3239class CurrentTimestamp(Func):
    +3240    arg_types = {"this": False}
     
    @@ -30648,6 +31267,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30692,8 +31312,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3214class DateAdd(Func, TimeUnit):
    -3215    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3243class DateAdd(Func, TimeUnit):
    +3244    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -30738,6 +31358,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30769,8 +31390,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3218class DateSub(Func, TimeUnit):
    -3219    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3247class DateSub(Func, TimeUnit):
    +3248    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -30815,6 +31436,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30846,8 +31468,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3222class DateDiff(Func, TimeUnit):
    -3223    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3251class DateDiff(Func, TimeUnit):
    +3252    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -30892,6 +31514,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30923,8 +31546,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3226class DateTrunc(Func):
    -3227    arg_types = {"unit": True, "this": True, "zone": False}
    +            
    3255class DateTrunc(Func):
    +3256    arg_types = {"unit": True, "this": True, "zone": False}
     
    @@ -30953,6 +31576,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -30997,8 +31621,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3230class DatetimeAdd(Func, TimeUnit):
    -3231    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3259class DatetimeAdd(Func, TimeUnit):
    +3260    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31043,6 +31667,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31074,8 +31699,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3234class DatetimeSub(Func, TimeUnit):
    -3235    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3263class DatetimeSub(Func, TimeUnit):
    +3264    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31120,6 +31745,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31151,8 +31777,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3238class DatetimeDiff(Func, TimeUnit):
    -3239    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3267class DatetimeDiff(Func, TimeUnit):
    +3268    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31197,6 +31823,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31228,8 +31855,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3242class DatetimeTrunc(Func, TimeUnit):
    -3243    arg_types = {"this": True, "unit": True, "zone": False}
    +            
    3271class DatetimeTrunc(Func, TimeUnit):
    +3272    arg_types = {"this": True, "unit": True, "zone": False}
     
    @@ -31274,6 +31901,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31305,8 +31933,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3246class DayOfWeek(Func):
    -3247    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
    +            
    3275class DayOfWeek(Func):
    +3276    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
     
    @@ -31335,6 +31963,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31379,8 +32008,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3250class DayOfMonth(Func):
    -3251    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
    +            
    3279class DayOfMonth(Func):
    +3280    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
     
    @@ -31409,6 +32038,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31453,8 +32083,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3254class DayOfYear(Func):
    -3255    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
    +            
    3283class DayOfYear(Func):
    +3284    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
     
    @@ -31483,6 +32113,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31527,8 +32158,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3258class WeekOfYear(Func):
    -3259    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
    +            
    3287class WeekOfYear(Func):
    +3288    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
     
    @@ -31557,6 +32188,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31601,8 +32233,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3262class LastDateOfMonth(Func):
    -3263    pass
    +            
    3291class LastDateOfMonth(Func):
    +3292    pass
     
    @@ -31631,6 +32263,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31675,8 +32308,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3266class Extract(Func):
    -3267    arg_types = {"this": True, "expression": True}
    +            
    3295class Extract(Func):
    +3296    arg_types = {"this": True, "expression": True}
     
    @@ -31705,6 +32338,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31749,8 +32383,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3270class TimestampAdd(Func, TimeUnit):
    -3271    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3299class TimestampAdd(Func, TimeUnit):
    +3300    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31795,6 +32429,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31826,8 +32461,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3274class TimestampSub(Func, TimeUnit):
    -3275    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3303class TimestampSub(Func, TimeUnit):
    +3304    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31872,6 +32507,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31903,8 +32539,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3278class TimestampDiff(Func, TimeUnit):
    -3279    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3307class TimestampDiff(Func, TimeUnit):
    +3308    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -31949,6 +32585,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -31980,8 +32617,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3282class TimestampTrunc(Func, TimeUnit):
    -3283    arg_types = {"this": True, "unit": True, "zone": False}
    +            
    3311class TimestampTrunc(Func, TimeUnit):
    +3312    arg_types = {"this": True, "unit": True, "zone": False}
     
    @@ -32026,6 +32663,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32057,8 +32695,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3286class TimeAdd(Func, TimeUnit):
    -3287    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3315class TimeAdd(Func, TimeUnit):
    +3316    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -32103,6 +32741,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32134,8 +32773,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3290class TimeSub(Func, TimeUnit):
    -3291    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3319class TimeSub(Func, TimeUnit):
    +3320    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -32180,6 +32819,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32211,8 +32851,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3294class TimeDiff(Func, TimeUnit):
    -3295    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3323class TimeDiff(Func, TimeUnit):
    +3324    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -32257,6 +32897,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32288,8 +32929,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3298class TimeTrunc(Func, TimeUnit):
    -3299    arg_types = {"this": True, "unit": True, "zone": False}
    +            
    3327class TimeTrunc(Func, TimeUnit):
    +3328    arg_types = {"this": True, "unit": True, "zone": False}
     
    @@ -32334,6 +32975,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32365,9 +33007,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3302class DateFromParts(Func):
    -3303    _sql_names = ["DATEFROMPARTS"]
    -3304    arg_types = {"year": True, "month": True, "day": True}
    +            
    3331class DateFromParts(Func):
    +3332    _sql_names = ["DATEFROMPARTS"]
    +3333    arg_types = {"year": True, "month": True, "day": True}
     
    @@ -32396,6 +33038,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32440,8 +33083,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3307class DateStrToDate(Func):
    -3308    pass
    +            
    3336class DateStrToDate(Func):
    +3337    pass
     
    @@ -32470,6 +33113,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32514,8 +33158,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3311class DateToDateStr(Func):
    -3312    pass
    +            
    3340class DateToDateStr(Func):
    +3341    pass
     
    @@ -32544,6 +33188,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32588,8 +33233,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3315class DateToDi(Func):
    -3316    pass
    +            
    3344class DateToDi(Func):
    +3345    pass
     
    @@ -32618,6 +33263,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32662,8 +33308,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3319class Day(Func):
    -3320    pass
    +            
    3348class Day(Func):
    +3349    pass
     
    @@ -32692,6 +33338,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32736,8 +33383,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3323class Decode(Func):
    -3324    arg_types = {"this": True, "charset": True, "replace": False}
    +            
    3352class Decode(Func):
    +3353    arg_types = {"this": True, "charset": True, "replace": False}
     
    @@ -32766,6 +33413,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32810,8 +33458,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3327class DiToDate(Func):
    -3328    pass
    +            
    3356class DiToDate(Func):
    +3357    pass
     
    @@ -32840,6 +33488,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32884,8 +33533,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3331class Encode(Func):
    -3332    arg_types = {"this": True, "charset": True}
    +            
    3360class Encode(Func):
    +3361    arg_types = {"this": True, "charset": True}
     
    @@ -32914,6 +33563,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -32958,8 +33608,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3335class Exp(Func):
    -3336    pass
    +            
    3364class Exp(Func):
    +3365    pass
     
    @@ -32988,6 +33638,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33032,8 +33683,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3339class Explode(Func):
    -3340    pass
    +            
    3368class Explode(Func):
    +3369    pass
     
    @@ -33062,6 +33713,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33106,8 +33758,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3343class Floor(Func):
    -3344    arg_types = {"this": True, "decimals": False}
    +            
    3372class Floor(Func):
    +3373    arg_types = {"this": True, "decimals": False}
     
    @@ -33136,6 +33788,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33180,9 +33833,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3347class Greatest(Func):
    -3348    arg_types = {"this": True, "expressions": False}
    -3349    is_var_len_args = True
    +            
    3376class Greatest(Func):
    +3377    arg_types = {"this": True, "expressions": False}
    +3378    is_var_len_args = True
     
    @@ -33211,6 +33864,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33255,8 +33909,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3352class GroupConcat(Func):
    -3353    arg_types = {"this": True, "separator": False}
    +            
    3381class GroupConcat(Func):
    +3382    arg_types = {"this": True, "separator": False}
     
    @@ -33285,6 +33939,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33329,8 +33984,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3356class Hex(Func):
    -3357    pass
    +            
    3385class Hex(Func):
    +3386    pass
     
    @@ -33359,6 +34014,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33403,8 +34059,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3360class If(Func):
    -3361    arg_types = {"this": True, "true": True, "false": False}
    +            
    3389class If(Func):
    +3390    arg_types = {"this": True, "true": True, "false": False}
     
    @@ -33433,6 +34089,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33477,9 +34134,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3364class IfNull(Func):
    -3365    arg_types = {"this": True, "expression": False}
    -3366    _sql_names = ["IFNULL", "NVL"]
    +            
    3393class IfNull(Func):
    +3394    arg_types = {"this": True, "expression": False}
    +3395    _sql_names = ["IFNULL", "NVL"]
     
    @@ -33508,6 +34165,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33552,8 +34210,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3369class Initcap(Func):
    -3370    pass
    +            
    3398class Initcap(Func):
    +3399    pass
     
    @@ -33582,6 +34240,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33626,8 +34285,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3373class JSONBContains(Binary):
    -3374    _sql_names = ["JSONB_CONTAINS"]
    +            
    3402class JSONBContains(Binary):
    +3403    _sql_names = ["JSONB_CONTAINS"]
     
    @@ -33656,6 +34315,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33687,8 +34347,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3377class JSONExtract(Binary, Func):
    -3378    _sql_names = ["JSON_EXTRACT"]
    +            
    3406class JSONExtract(Binary, Func):
    +3407    _sql_names = ["JSON_EXTRACT"]
     
    @@ -33717,6 +34377,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33761,8 +34422,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3381class JSONExtractScalar(JSONExtract):
    -3382    _sql_names = ["JSON_EXTRACT_SCALAR"]
    +            
    3410class JSONExtractScalar(JSONExtract):
    +3411    _sql_names = ["JSON_EXTRACT_SCALAR"]
     
    @@ -33791,6 +34452,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33835,8 +34497,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3385class JSONBExtract(JSONExtract):
    -3386    _sql_names = ["JSONB_EXTRACT"]
    +            
    3414class JSONBExtract(JSONExtract):
    +3415    _sql_names = ["JSONB_EXTRACT"]
     
    @@ -33865,6 +34527,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33909,8 +34572,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3389class JSONBExtractScalar(JSONExtract):
    -3390    _sql_names = ["JSONB_EXTRACT_SCALAR"]
    +            
    3418class JSONBExtractScalar(JSONExtract):
    +3419    _sql_names = ["JSONB_EXTRACT_SCALAR"]
     
    @@ -33939,6 +34602,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -33983,9 +34647,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3393class Least(Func):
    -3394    arg_types = {"this": True, "expressions": False}
    -3395    is_var_len_args = True
    +            
    3422class Least(Func):
    +3423    arg_types = {"this": True, "expressions": False}
    +3424    is_var_len_args = True
     
    @@ -34014,6 +34678,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34058,8 +34723,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3398class Length(Func):
    -3399    pass
    +            
    3427class Length(Func):
    +3428    pass
     
    @@ -34088,6 +34753,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34132,14 +34798,14 @@ name is set to the expression's class name transformed to snake case.
    -
    3402class Levenshtein(Func):
    -3403    arg_types = {
    -3404        "this": True,
    -3405        "expression": False,
    -3406        "ins_cost": False,
    -3407        "del_cost": False,
    -3408        "sub_cost": False,
    -3409    }
    +            
    3431class Levenshtein(Func):
    +3432    arg_types = {
    +3433        "this": True,
    +3434        "expression": False,
    +3435        "ins_cost": False,
    +3436        "del_cost": False,
    +3437        "sub_cost": False,
    +3438    }
     
    @@ -34168,6 +34834,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34212,8 +34879,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3412class Ln(Func):
    -3413    pass
    +            
    3441class Ln(Func):
    +3442    pass
     
    @@ -34242,6 +34909,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34286,8 +34954,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3416class Log(Func):
    -3417    arg_types = {"this": True, "expression": False}
    +            
    3445class Log(Func):
    +3446    arg_types = {"this": True, "expression": False}
     
    @@ -34316,6 +34984,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34360,8 +35029,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3420class Log2(Func):
    -3421    pass
    +            
    3449class Log2(Func):
    +3450    pass
     
    @@ -34390,6 +35059,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34434,8 +35104,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3424class Log10(Func):
    -3425    pass
    +            
    3453class Log10(Func):
    +3454    pass
     
    @@ -34464,6 +35134,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34508,8 +35179,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3428class LogicalOr(AggFunc):
    -3429    _sql_names = ["LOGICAL_OR", "BOOL_OR"]
    +            
    3457class LogicalOr(AggFunc):
    +3458    _sql_names = ["LOGICAL_OR", "BOOL_OR"]
     
    @@ -34538,6 +35209,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34582,8 +35254,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3432class Lower(Func):
    -3433    _sql_names = ["LOWER", "LCASE"]
    +            
    3461class Lower(Func):
    +3462    _sql_names = ["LOWER", "LCASE"]
     
    @@ -34612,6 +35284,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34656,8 +35329,8 @@ name is set to the expression's class name transformed to snake case.
    -
    3436class Map(Func):
    -3437    arg_types = {"keys": False, "values": False}
    +            
    3465class Map(Func):
    +3466    arg_types = {"keys": False, "values": False}
     
    @@ -34686,6 +35359,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34730,9 +35404,9 @@ name is set to the expression's class name transformed to snake case.
    -
    3440class VarMap(Func):
    -3441    arg_types = {"keys": True, "values": True}
    -3442    is_var_len_args = True
    +            
    3469class VarMap(Func):
    +3470    arg_types = {"keys": True, "values": True}
    +3471    is_var_len_args = True
     
    @@ -34761,6 +35435,7 @@ name is set to the expression's class name transformed to snake case.
    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34805,14 +35480,14 @@ name is set to the expression's class name transformed to snake case.
    -
    3445class Matches(Func):
    -3446    """Oracle/Snowflake decode.
    -3447    https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm
    -3448    Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)
    -3449    """
    -3450
    -3451    arg_types = {"this": True, "expressions": True}
    -3452    is_var_len_args = True
    +            
    3474class Matches(Func):
    +3475    """Oracle/Snowflake decode.
    +3476    https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions040.htm
    +3477    Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)
    +3478    """
    +3479
    +3480    arg_types = {"this": True, "expressions": True}
    +3481    is_var_len_args = True
     
    @@ -34845,6 +35520,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34889,8 +35565,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3455class Max(AggFunc):
    -3456    arg_types = {"this": True, "expression": False}
    +            
    3484class Max(AggFunc):
    +3485    arg_types = {"this": True, "expression": False}
     
    @@ -34919,6 +35595,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -34963,8 +35640,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3459class Min(AggFunc):
    -3460    arg_types = {"this": True, "expression": False}
    +            
    3488class Min(AggFunc):
    +3489    arg_types = {"this": True, "expression": False}
     
    @@ -34993,6 +35670,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35037,8 +35715,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3463class Month(Func):
    -3464    pass
    +            
    3492class Month(Func):
    +3493    pass
     
    @@ -35067,6 +35745,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35111,8 +35790,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3467class Nvl2(Func):
    -3468    arg_types = {"this": True, "true": True, "false": False}
    +            
    3496class Nvl2(Func):
    +3497    arg_types = {"this": True, "true": True, "false": False}
     
    @@ -35141,6 +35820,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35185,8 +35865,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3471class Posexplode(Func):
    -3472    pass
    +            
    3500class Posexplode(Func):
    +3501    pass
     
    @@ -35215,6 +35895,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35259,8 +35940,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3475class Pow(Binary, Func):
    -3476    _sql_names = ["POWER", "POW"]
    +            
    3504class Pow(Binary, Func):
    +3505    _sql_names = ["POWER", "POW"]
     
    @@ -35289,6 +35970,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35333,8 +36015,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3479class PercentileCont(AggFunc):
    -3480    pass
    +            
    3508class PercentileCont(AggFunc):
    +3509    pass
     
    @@ -35363,6 +36045,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35407,8 +36090,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3483class PercentileDisc(AggFunc):
    -3484    pass
    +            
    3512class PercentileDisc(AggFunc):
    +3513    pass
     
    @@ -35437,6 +36120,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35481,8 +36165,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3487class Quantile(AggFunc):
    -3488    arg_types = {"this": True, "quantile": True}
    +            
    3516class Quantile(AggFunc):
    +3517    arg_types = {"this": True, "quantile": True}
     
    @@ -35511,6 +36195,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35555,8 +36240,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3493class Quantiles(AggFunc):
    -3494    arg_types = {"parameters": True, "expressions": True}
    +            
    3522class Quantiles(AggFunc):
    +3523    arg_types = {"parameters": True, "expressions": True}
     
    @@ -35585,6 +36270,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35629,8 +36315,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3497class QuantileIf(AggFunc):
    -3498    arg_types = {"parameters": True, "expressions": True}
    +            
    3526class QuantileIf(AggFunc):
    +3527    arg_types = {"parameters": True, "expressions": True}
     
    @@ -35659,6 +36345,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35703,8 +36390,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3501class ApproxQuantile(Quantile):
    -3502    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
    +            
    3530class ApproxQuantile(Quantile):
    +3531    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
     
    @@ -35733,6 +36420,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35762,6 +36450,81 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    or_
    not_
    +
    + + + +
    + +
    + + class + RangeN(Func): + + + +
    + +
    3534class RangeN(Func):
    +3535    arg_types = {"this": True, "expressions": True, "each": False}
    +
    + + + + + @@ -35777,10 +36540,10 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3505class ReadCSV(Func):
    -3506    _sql_names = ["READ_CSV"]
    -3507    is_var_len_args = True
    -3508    arg_types = {"this": True, "expressions": False}
    +            
    3538class ReadCSV(Func):
    +3539    _sql_names = ["READ_CSV"]
    +3540    is_var_len_args = True
    +3541    arg_types = {"this": True, "expressions": False}
     
    @@ -35809,6 +36572,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35853,8 +36617,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3511class Reduce(Func):
    -3512    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
    +            
    3544class Reduce(Func):
    +3545    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
     
    @@ -35883,6 +36647,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -35927,14 +36692,14 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3515class RegexpExtract(Func):
    -3516    arg_types = {
    -3517        "this": True,
    -3518        "expression": True,
    -3519        "position": False,
    -3520        "occurrence": False,
    -3521        "group": False,
    -3522    }
    +            
    3548class RegexpExtract(Func):
    +3549    arg_types = {
    +3550        "this": True,
    +3551        "expression": True,
    +3552        "position": False,
    +3553        "occurrence": False,
    +3554        "group": False,
    +3555    }
     
    @@ -35963,6 +36728,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36007,8 +36773,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3525class RegexpLike(Func):
    -3526    arg_types = {"this": True, "expression": True, "flag": False}
    +            
    3558class RegexpLike(Func):
    +3559    arg_types = {"this": True, "expression": True, "flag": False}
     
    @@ -36037,6 +36803,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36081,8 +36848,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3529class RegexpILike(Func):
    -3530    arg_types = {"this": True, "expression": True, "flag": False}
    +            
    3562class RegexpILike(Func):
    +3563    arg_types = {"this": True, "expression": True, "flag": False}
     
    @@ -36111,6 +36878,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36155,8 +36923,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3533class RegexpSplit(Func):
    -3534    arg_types = {"this": True, "expression": True}
    +            
    3566class RegexpSplit(Func):
    +3567    arg_types = {"this": True, "expression": True}
     
    @@ -36185,6 +36953,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36229,8 +36998,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3537class Repeat(Func):
    -3538    arg_types = {"this": True, "times": True}
    +            
    3570class Repeat(Func):
    +3571    arg_types = {"this": True, "times": True}
     
    @@ -36259,6 +37028,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36303,8 +37073,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3541class Round(Func):
    -3542    arg_types = {"this": True, "decimals": False}
    +            
    3574class Round(Func):
    +3575    arg_types = {"this": True, "decimals": False}
     
    @@ -36333,6 +37103,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36377,8 +37148,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3545class RowNumber(Func):
    -3546    arg_types: t.Dict[str, t.Any] = {}
    +            
    3578class RowNumber(Func):
    +3579    arg_types: t.Dict[str, t.Any] = {}
     
    @@ -36407,6 +37178,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36451,8 +37223,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3549class SafeDivide(Func):
    -3550    arg_types = {"this": True, "expression": True}
    +            
    3582class SafeDivide(Func):
    +3583    arg_types = {"this": True, "expression": True}
     
    @@ -36481,6 +37253,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36525,8 +37298,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3553class SetAgg(AggFunc):
    -3554    pass
    +            
    3586class SetAgg(AggFunc):
    +3587    pass
     
    @@ -36555,6 +37328,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36599,8 +37373,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3557class SortArray(Func):
    -3558    arg_types = {"this": True, "asc": False}
    +            
    3590class SortArray(Func):
    +3591    arg_types = {"this": True, "asc": False}
     
    @@ -36629,6 +37403,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36673,8 +37448,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3561class Split(Func):
    -3562    arg_types = {"this": True, "expression": True, "limit": False}
    +            
    3594class Split(Func):
    +3595    arg_types = {"this": True, "expression": True, "limit": False}
     
    @@ -36703,6 +37478,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36747,8 +37523,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3567class Substring(Func):
    -3568    arg_types = {"this": True, "start": False, "length": False}
    +            
    3600class Substring(Func):
    +3601    arg_types = {"this": True, "start": False, "length": False}
     
    @@ -36777,6 +37553,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36821,13 +37598,13 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3571class StrPosition(Func):
    -3572    arg_types = {
    -3573        "this": True,
    -3574        "substr": True,
    -3575        "position": False,
    -3576        "instance": False,
    -3577    }
    +            
    3604class StrPosition(Func):
    +3605    arg_types = {
    +3606        "this": True,
    +3607        "substr": True,
    +3608        "position": False,
    +3609        "instance": False,
    +3610    }
     
    @@ -36856,6 +37633,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36900,8 +37678,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3580class StrToDate(Func):
    -3581    arg_types = {"this": True, "format": True}
    +            
    3613class StrToDate(Func):
    +3614    arg_types = {"this": True, "format": True}
     
    @@ -36930,6 +37708,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -36974,8 +37753,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3584class StrToTime(Func):
    -3585    arg_types = {"this": True, "format": True}
    +            
    3617class StrToTime(Func):
    +3618    arg_types = {"this": True, "format": True}
     
    @@ -37004,6 +37783,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37048,8 +37828,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3590class StrToUnix(Func):
    -3591    arg_types = {"this": False, "format": False}
    +            
    3623class StrToUnix(Func):
    +3624    arg_types = {"this": False, "format": False}
     
    @@ -37078,6 +37858,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37122,8 +37903,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3594class NumberToStr(Func):
    -3595    arg_types = {"this": True, "format": True}
    +            
    3627class NumberToStr(Func):
    +3628    arg_types = {"this": True, "format": True}
     
    @@ -37152,6 +37933,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37196,9 +37978,9 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3598class Struct(Func):
    -3599    arg_types = {"expressions": True}
    -3600    is_var_len_args = True
    +            
    3631class Struct(Func):
    +3632    arg_types = {"expressions": True}
    +3633    is_var_len_args = True
     
    @@ -37227,6 +38009,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37271,8 +38054,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3603class StructExtract(Func):
    -3604    arg_types = {"this": True, "expression": True}
    +            
    3636class StructExtract(Func):
    +3637    arg_types = {"this": True, "expression": True}
     
    @@ -37301,6 +38084,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37345,8 +38129,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3607class Sum(AggFunc):
    -3608    pass
    +            
    3640class Sum(AggFunc):
    +3641    pass
     
    @@ -37375,6 +38159,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37419,8 +38204,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3611class Sqrt(Func):
    -3612    pass
    +            
    3644class Sqrt(Func):
    +3645    pass
     
    @@ -37449,6 +38234,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37493,8 +38279,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3615class Stddev(AggFunc):
    -3616    pass
    +            
    3648class Stddev(AggFunc):
    +3649    pass
     
    @@ -37523,6 +38309,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37567,8 +38354,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3619class StddevPop(AggFunc):
    -3620    pass
    +            
    3652class StddevPop(AggFunc):
    +3653    pass
     
    @@ -37597,6 +38384,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37641,8 +38429,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3623class StddevSamp(AggFunc):
    -3624    pass
    +            
    3656class StddevSamp(AggFunc):
    +3657    pass
     
    @@ -37671,6 +38459,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37715,8 +38504,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3627class TimeToStr(Func):
    -3628    arg_types = {"this": True, "format": True}
    +            
    3660class TimeToStr(Func):
    +3661    arg_types = {"this": True, "format": True}
     
    @@ -37745,6 +38534,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37789,8 +38579,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3631class TimeToTimeStr(Func):
    -3632    pass
    +            
    3664class TimeToTimeStr(Func):
    +3665    pass
     
    @@ -37819,6 +38609,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37863,8 +38654,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3635class TimeToUnix(Func):
    -3636    pass
    +            
    3668class TimeToUnix(Func):
    +3669    pass
     
    @@ -37893,6 +38684,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -37937,8 +38729,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3639class TimeStrToDate(Func):
    -3640    pass
    +            
    3672class TimeStrToDate(Func):
    +3673    pass
     
    @@ -37967,6 +38759,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38011,8 +38804,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3643class TimeStrToTime(Func):
    -3644    pass
    +            
    3676class TimeStrToTime(Func):
    +3677    pass
     
    @@ -38041,6 +38834,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38085,8 +38879,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3647class TimeStrToUnix(Func):
    -3648    pass
    +            
    3680class TimeStrToUnix(Func):
    +3681    pass
     
    @@ -38115,6 +38909,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38159,13 +38954,13 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3651class Trim(Func):
    -3652    arg_types = {
    -3653        "this": True,
    -3654        "expression": False,
    -3655        "position": False,
    -3656        "collation": False,
    -3657    }
    +            
    3684class Trim(Func):
    +3685    arg_types = {
    +3686        "this": True,
    +3687        "expression": False,
    +3688        "position": False,
    +3689        "collation": False,
    +3690    }
     
    @@ -38194,6 +38989,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38238,8 +39034,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3660class TsOrDsAdd(Func, TimeUnit):
    -3661    arg_types = {"this": True, "expression": True, "unit": False}
    +            
    3693class TsOrDsAdd(Func, TimeUnit):
    +3694    arg_types = {"this": True, "expression": True, "unit": False}
     
    @@ -38284,6 +39080,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38315,8 +39112,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3664class TsOrDsToDateStr(Func):
    -3665    pass
    +            
    3697class TsOrDsToDateStr(Func):
    +3698    pass
     
    @@ -38345,6 +39142,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38389,8 +39187,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3668class TsOrDsToDate(Func):
    -3669    arg_types = {"this": True, "format": False}
    +            
    3701class TsOrDsToDate(Func):
    +3702    arg_types = {"this": True, "format": False}
     
    @@ -38419,6 +39217,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38463,8 +39262,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3672class TsOrDiToDi(Func):
    -3673    pass
    +            
    3705class TsOrDiToDi(Func):
    +3706    pass
     
    @@ -38493,6 +39292,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38537,8 +39337,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3676class Unhex(Func):
    -3677    pass
    +            
    3709class Unhex(Func):
    +3710    pass
     
    @@ -38567,6 +39367,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38611,8 +39412,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3680class UnixToStr(Func):
    -3681    arg_types = {"this": True, "format": False}
    +            
    3713class UnixToStr(Func):
    +3714    arg_types = {"this": True, "format": False}
     
    @@ -38641,6 +39442,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38685,12 +39487,12 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3686class UnixToTime(Func):
    -3687    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
    -3688
    -3689    SECONDS = Literal.string("seconds")
    -3690    MILLIS = Literal.string("millis")
    -3691    MICROS = Literal.string("micros")
    +            
    3719class UnixToTime(Func):
    +3720    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
    +3721
    +3722    SECONDS = Literal.string("seconds")
    +3723    MILLIS = Literal.string("millis")
    +3724    MICROS = Literal.string("micros")
     
    @@ -38719,6 +39521,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38763,8 +39566,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3694class UnixToTimeStr(Func):
    -3695    pass
    +            
    3727class UnixToTimeStr(Func):
    +3728    pass
     
    @@ -38793,6 +39596,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38837,8 +39641,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3698class Upper(Func):
    -3699    _sql_names = ["UPPER", "UCASE"]
    +            
    3731class Upper(Func):
    +3732    _sql_names = ["UPPER", "UCASE"]
     
    @@ -38867,6 +39671,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38911,8 +39716,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3702class Variance(AggFunc):
    -3703    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
    +            
    3735class Variance(AggFunc):
    +3736    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
     
    @@ -38941,6 +39746,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -38985,8 +39791,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3706class VariancePop(AggFunc):
    -3707    _sql_names = ["VARIANCE_POP", "VAR_POP"]
    +            
    3739class VariancePop(AggFunc):
    +3740    _sql_names = ["VARIANCE_POP", "VAR_POP"]
     
    @@ -39015,6 +39821,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39059,8 +39866,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3710class Week(Func):
    -3711    arg_types = {"this": True, "mode": False}
    +            
    3743class Week(Func):
    +3744    arg_types = {"this": True, "mode": False}
     
    @@ -39089,6 +39896,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39133,8 +39941,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3714class XMLTable(Func):
    -3715    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
    +            
    3747class XMLTable(Func):
    +3748    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
     
    @@ -39163,6 +39971,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39207,8 +40016,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3718class Year(Func):
    -3719    pass
    +            
    3751class Year(Func):
    +3752    pass
     
    @@ -39237,6 +40046,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39281,8 +40091,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3722class Use(Expression):
    -3723    arg_types = {"this": True, "kind": False}
    +            
    3755class Use(Expression):
    +3756    arg_types = {"this": True, "kind": False}
     
    @@ -39311,6 +40121,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39342,8 +40153,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3726class Merge(Expression):
    -3727    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
    +            
    3759class Merge(Expression):
    +3760    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
     
    @@ -39372,6 +40183,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39403,8 +40215,8 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3730class When(Func):
    -3731    arg_types = {"this": True, "then": True}
    +            
    3763class When(Func):
    +3764    arg_types = {"this": True, "then": True}
     
    @@ -39433,6 +40245,7 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    find_all
    find_ancestor
    parent_select
    +
    root
    walk
    dfs
    bfs
    @@ -39477,48 +40290,48 @@ Pattern matching MATCHES(value, search1, result1, ...searchN, resultN, else)

    -
    3759def maybe_parse(
    -3760    sql_or_expression: str | Expression,
    -3761    *,
    -3762    into: t.Optional[IntoType] = None,
    -3763    dialect: DialectType = None,
    -3764    prefix: t.Optional[str] = None,
    -3765    copy: bool = False,
    -3766    **opts,
    -3767) -> Expression:
    -3768    """Gracefully handle a possible string or expression.
    -3769
    -3770    Example:
    -3771        >>> maybe_parse("1")
    -3772        (LITERAL this: 1, is_string: False)
    -3773        >>> maybe_parse(to_identifier("x"))
    -3774        (IDENTIFIER this: x, quoted: False)
    -3775
    -3776    Args:
    -3777        sql_or_expression: the SQL code string or an expression
    -3778        into: the SQLGlot Expression to parse into
    -3779        dialect: the dialect used to parse the input expressions (in the case that an
    -3780            input expression is a SQL string).
    -3781        prefix: a string to prefix the sql with before it gets parsed
    -3782            (automatically includes a space)
    -3783        copy: whether or not to copy the expression.
    -3784        **opts: other options to use to parse the input expressions (again, in the case
    -3785            that an input expression is a SQL string).
    -3786
    -3787    Returns:
    -3788        Expression: the parsed or given expression.
    -3789    """
    -3790    if isinstance(sql_or_expression, Expression):
    -3791        if copy:
    -3792            return sql_or_expression.copy()
    -3793        return sql_or_expression
    -3794
    -3795    import sqlglot
    -3796
    -3797    sql = str(sql_or_expression)
    -3798    if prefix:
    -3799        sql = f"{prefix} {sql}"
    -3800    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
    +            
    3792def maybe_parse(
    +3793    sql_or_expression: str | Expression,
    +3794    *,
    +3795    into: t.Optional[IntoType] = None,
    +3796    dialect: DialectType = None,
    +3797    prefix: t.Optional[str] = None,
    +3798    copy: bool = False,
    +3799    **opts,
    +3800) -> Expression:
    +3801    """Gracefully handle a possible string or expression.
    +3802
    +3803    Example:
    +3804        >>> maybe_parse("1")
    +3805        (LITERAL this: 1, is_string: False)
    +3806        >>> maybe_parse(to_identifier("x"))
    +3807        (IDENTIFIER this: x, quoted: False)
    +3808
    +3809    Args:
    +3810        sql_or_expression: the SQL code string or an expression
    +3811        into: the SQLGlot Expression to parse into
    +3812        dialect: the dialect used to parse the input expressions (in the case that an
    +3813            input expression is a SQL string).
    +3814        prefix: a string to prefix the sql with before it gets parsed
    +3815            (automatically includes a space)
    +3816        copy: whether or not to copy the expression.
    +3817        **opts: other options to use to parse the input expressions (again, in the case
    +3818            that an input expression is a SQL string).
    +3819
    +3820    Returns:
    +3821        Expression: the parsed or given expression.
    +3822    """
    +3823    if isinstance(sql_or_expression, Expression):
    +3824        if copy:
    +3825            return sql_or_expression.copy()
    +3826        return sql_or_expression
    +3827
    +3828    import sqlglot
    +3829
    +3830    sql = str(sql_or_expression)
    +3831    if prefix:
    +3832        sql = f"{prefix} {sql}"
    +3833    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
     
    @@ -39570,29 +40383,29 @@ that an input expression is a SQL string).
    -
    3946def union(left, right, distinct=True, dialect=None, **opts):
    -3947    """
    -3948    Initializes a syntax tree from one UNION expression.
    -3949
    -3950    Example:
    -3951        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
    -3952        'SELECT * FROM foo UNION SELECT * FROM bla'
    -3953
    -3954    Args:
    -3955        left (str | Expression): the SQL code string corresponding to the left-hand side.
    -3956            If an `Expression` instance is passed, it will be used as-is.
    -3957        right (str | Expression): the SQL code string corresponding to the right-hand side.
    -3958            If an `Expression` instance is passed, it will be used as-is.
    -3959        distinct (bool): set the DISTINCT flag if and only if this is true.
    -3960        dialect (str): the dialect used to parse the input expression.
    -3961        opts (kwargs): other options to use to parse the input expressions.
    -3962    Returns:
    -3963        Union: the syntax tree for the UNION expression.
    -3964    """
    -3965    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    -3966    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    -3967
    -3968    return Union(this=left, expression=right, distinct=distinct)
    +            
    3979def union(left, right, distinct=True, dialect=None, **opts):
    +3980    """
    +3981    Initializes a syntax tree from one UNION expression.
    +3982
    +3983    Example:
    +3984        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
    +3985        'SELECT * FROM foo UNION SELECT * FROM bla'
    +3986
    +3987    Args:
    +3988        left (str | Expression): the SQL code string corresponding to the left-hand side.
    +3989            If an `Expression` instance is passed, it will be used as-is.
    +3990        right (str | Expression): the SQL code string corresponding to the right-hand side.
    +3991            If an `Expression` instance is passed, it will be used as-is.
    +3992        distinct (bool): set the DISTINCT flag if and only if this is true.
    +3993        dialect (str): the dialect used to parse the input expression.
    +3994        opts (kwargs): other options to use to parse the input expressions.
    +3995    Returns:
    +3996        Union: the syntax tree for the UNION expression.
    +3997    """
    +3998    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    +3999    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    +4000
    +4001    return Union(this=left, expression=right, distinct=distinct)
     
    @@ -39640,29 +40453,29 @@ If an Expression instance is passed, it w
    -
    3971def intersect(left, right, distinct=True, dialect=None, **opts):
    -3972    """
    -3973    Initializes a syntax tree from one INTERSECT expression.
    -3974
    -3975    Example:
    -3976        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
    -3977        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    -3978
    -3979    Args:
    -3980        left (str | Expression): the SQL code string corresponding to the left-hand side.
    -3981            If an `Expression` instance is passed, it will be used as-is.
    -3982        right (str | Expression): the SQL code string corresponding to the right-hand side.
    -3983            If an `Expression` instance is passed, it will be used as-is.
    -3984        distinct (bool): set the DISTINCT flag if and only if this is true.
    -3985        dialect (str): the dialect used to parse the input expression.
    -3986        opts (kwargs): other options to use to parse the input expressions.
    -3987    Returns:
    -3988        Intersect: the syntax tree for the INTERSECT expression.
    -3989    """
    -3990    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    -3991    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    -3992
    -3993    return Intersect(this=left, expression=right, distinct=distinct)
    +            
    4004def intersect(left, right, distinct=True, dialect=None, **opts):
    +4005    """
    +4006    Initializes a syntax tree from one INTERSECT expression.
    +4007
    +4008    Example:
    +4009        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
    +4010        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
    +4011
    +4012    Args:
    +4013        left (str | Expression): the SQL code string corresponding to the left-hand side.
    +4014            If an `Expression` instance is passed, it will be used as-is.
    +4015        right (str | Expression): the SQL code string corresponding to the right-hand side.
    +4016            If an `Expression` instance is passed, it will be used as-is.
    +4017        distinct (bool): set the DISTINCT flag if and only if this is true.
    +4018        dialect (str): the dialect used to parse the input expression.
    +4019        opts (kwargs): other options to use to parse the input expressions.
    +4020    Returns:
    +4021        Intersect: the syntax tree for the INTERSECT expression.
    +4022    """
    +4023    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    +4024    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    +4025
    +4026    return Intersect(this=left, expression=right, distinct=distinct)
     
    @@ -39710,29 +40523,29 @@ If an Expression instance is passed, it w
    -
    3996def except_(left, right, distinct=True, dialect=None, **opts):
    -3997    """
    -3998    Initializes a syntax tree from one EXCEPT expression.
    -3999
    -4000    Example:
    -4001        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
    -4002        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    -4003
    -4004    Args:
    -4005        left (str | Expression): the SQL code string corresponding to the left-hand side.
    -4006            If an `Expression` instance is passed, it will be used as-is.
    -4007        right (str | Expression): the SQL code string corresponding to the right-hand side.
    -4008            If an `Expression` instance is passed, it will be used as-is.
    -4009        distinct (bool): set the DISTINCT flag if and only if this is true.
    -4010        dialect (str): the dialect used to parse the input expression.
    -4011        opts (kwargs): other options to use to parse the input expressions.
    -4012    Returns:
    -4013        Except: the syntax tree for the EXCEPT statement.
    -4014    """
    -4015    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    -4016    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    -4017
    -4018    return Except(this=left, expression=right, distinct=distinct)
    +            
    4029def except_(left, right, distinct=True, dialect=None, **opts):
    +4030    """
    +4031    Initializes a syntax tree from one EXCEPT expression.
    +4032
    +4033    Example:
    +4034        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
    +4035        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
    +4036
    +4037    Args:
    +4038        left (str | Expression): the SQL code string corresponding to the left-hand side.
    +4039            If an `Expression` instance is passed, it will be used as-is.
    +4040        right (str | Expression): the SQL code string corresponding to the right-hand side.
    +4041            If an `Expression` instance is passed, it will be used as-is.
    +4042        distinct (bool): set the DISTINCT flag if and only if this is true.
    +4043        dialect (str): the dialect used to parse the input expression.
    +4044        opts (kwargs): other options to use to parse the input expressions.
    +4045    Returns:
    +4046        Except: the syntax tree for the EXCEPT statement.
    +4047    """
    +4048    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
    +4049    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
    +4050
    +4051    return Except(this=left, expression=right, distinct=distinct)
     
    @@ -39780,26 +40593,26 @@ If an Expression instance is passed, it w
    -
    4021def select(*expressions: str | Expression, dialect: DialectType = None, **opts) -> Select:
    -4022    """
    -4023    Initializes a syntax tree from one or multiple SELECT expressions.
    -4024
    -4025    Example:
    -4026        >>> select("col1", "col2").from_("tbl").sql()
    -4027        'SELECT col1, col2 FROM tbl'
    -4028
    -4029    Args:
    -4030        *expressions: the SQL code string to parse as the expressions of a
    -4031            SELECT statement. If an Expression instance is passed, this is used as-is.
    -4032        dialect: the dialect used to parse the input expressions (in the case that an
    -4033            input expression is a SQL string).
    -4034        **opts: other options to use to parse the input expressions (again, in the case
    -4035            that an input expression is a SQL string).
    -4036
    -4037    Returns:
    -4038        Select: the syntax tree for the SELECT statement.
    -4039    """
    -4040    return Select().select(*expressions, dialect=dialect, **opts)
    +            
    4054def select(*expressions: str | Expression, dialect: DialectType = None, **opts) -> Select:
    +4055    """
    +4056    Initializes a syntax tree from one or multiple SELECT expressions.
    +4057
    +4058    Example:
    +4059        >>> select("col1", "col2").from_("tbl").sql()
    +4060        'SELECT col1, col2 FROM tbl'
    +4061
    +4062    Args:
    +4063        *expressions: the SQL code string to parse as the expressions of a
    +4064            SELECT statement. If an Expression instance is passed, this is used as-is.
    +4065        dialect: the dialect used to parse the input expressions (in the case that an
    +4066            input expression is a SQL string).
    +4067        **opts: other options to use to parse the input expressions (again, in the case
    +4068            that an input expression is a SQL string).
    +4069
    +4070    Returns:
    +4071        Select: the syntax tree for the SELECT statement.
    +4072    """
    +4073    return Select().select(*expressions, dialect=dialect, **opts)
     
    @@ -39846,26 +40659,26 @@ that an input expression is a SQL string).
    -
    4043def from_(*expressions, dialect=None, **opts) -> Select:
    -4044    """
    -4045    Initializes a syntax tree from a FROM expression.
    -4046
    -4047    Example:
    -4048        >>> from_("tbl").select("col1", "col2").sql()
    -4049        'SELECT col1, col2 FROM tbl'
    -4050
    -4051    Args:
    -4052        *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a
    -4053            SELECT statement. If an Expression instance is passed, this is used as-is.
    -4054        dialect (str): the dialect used to parse the input expression (in the case that the
    -4055            input expression is a SQL string).
    -4056        **opts: other options to use to parse the input expressions (again, in the case
    -4057            that the input expression is a SQL string).
    -4058
    -4059    Returns:
    -4060        Select: the syntax tree for the SELECT statement.
    -4061    """
    -4062    return Select().from_(*expressions, dialect=dialect, **opts)
    +            
    4076def from_(*expressions, dialect=None, **opts) -> Select:
    +4077    """
    +4078    Initializes a syntax tree from a FROM expression.
    +4079
    +4080    Example:
    +4081        >>> from_("tbl").select("col1", "col2").sql()
    +4082        'SELECT col1, col2 FROM tbl'
    +4083
    +4084    Args:
    +4085        *expressions (str | Expression): the SQL code string to parse as the FROM expressions of a
    +4086            SELECT statement. If an Expression instance is passed, this is used as-is.
    +4087        dialect (str): the dialect used to parse the input expression (in the case that the
    +4088            input expression is a SQL string).
    +4089        **opts: other options to use to parse the input expressions (again, in the case
    +4090            that the input expression is a SQL string).
    +4091
    +4092    Returns:
    +4093        Select: the syntax tree for the SELECT statement.
    +4094    """
    +4095    return Select().from_(*expressions, dialect=dialect, **opts)
     
    @@ -39912,46 +40725,46 @@ that the input expression is a SQL string).
    -
    4065def update(table, properties, where=None, from_=None, dialect=None, **opts) -> Update:
    -4066    """
    -4067    Creates an update statement.
    -4068
    -4069    Example:
    -4070        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
    -4071        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
    -4072
    -4073    Args:
    -4074        *properties (Dict[str, Any]): dictionary of properties to set which are
    -4075            auto converted to sql objects eg None -> NULL
    -4076        where (str): sql conditional parsed into a WHERE statement
    -4077        from_ (str): sql statement parsed into a FROM statement
    -4078        dialect (str): the dialect used to parse the input expressions.
    -4079        **opts: other options to use to parse the input expressions.
    -4080
    -4081    Returns:
    -4082        Update: the syntax tree for the UPDATE statement.
    -4083    """
    -4084    update = Update(this=maybe_parse(table, into=Table, dialect=dialect))
    -4085    update.set(
    -4086        "expressions",
    -4087        [
    -4088            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
    -4089            for k, v in properties.items()
    -4090        ],
    -4091    )
    -4092    if from_:
    -4093        update.set(
    -4094            "from",
    -4095            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
    -4096        )
    -4097    if isinstance(where, Condition):
    -4098        where = Where(this=where)
    -4099    if where:
    -4100        update.set(
    -4101            "where",
    -4102            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
    -4103        )
    -4104    return update
    +            
    4098def update(table, properties, where=None, from_=None, dialect=None, **opts) -> Update:
    +4099    """
    +4100    Creates an update statement.
    +4101
    +4102    Example:
    +4103        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
    +4104        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
    +4105
    +4106    Args:
    +4107        *properties (Dict[str, Any]): dictionary of properties to set which are
    +4108            auto converted to sql objects eg None -> NULL
    +4109        where (str): sql conditional parsed into a WHERE statement
    +4110        from_ (str): sql statement parsed into a FROM statement
    +4111        dialect (str): the dialect used to parse the input expressions.
    +4112        **opts: other options to use to parse the input expressions.
    +4113
    +4114    Returns:
    +4115        Update: the syntax tree for the UPDATE statement.
    +4116    """
    +4117    update = Update(this=maybe_parse(table, into=Table, dialect=dialect))
    +4118    update.set(
    +4119        "expressions",
    +4120        [
    +4121            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
    +4122            for k, v in properties.items()
    +4123        ],
    +4124    )
    +4125    if from_:
    +4126        update.set(
    +4127            "from",
    +4128            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
    +4129        )
    +4130    if isinstance(where, Condition):
    +4131        where = Where(this=where)
    +4132    if where:
    +4133        update.set(
    +4134            "where",
    +4135            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
    +4136        )
    +4137    return update
     
    @@ -39998,28 +40811,28 @@ auto converted to sql objects eg None -> NULL
    -
    4107def delete(table, where=None, dialect=None, **opts) -> Delete:
    -4108    """
    -4109    Builds a delete statement.
    -4110
    -4111    Example:
    -4112        >>> delete("my_table", where="id > 1").sql()
    -4113        'DELETE FROM my_table WHERE id > 1'
    -4114
    -4115    Args:
    -4116        where (str|Condition): sql conditional parsed into a WHERE statement
    -4117        dialect (str): the dialect used to parse the input expressions.
    -4118        **opts: other options to use to parse the input expressions.
    -4119
    -4120    Returns:
    -4121        Delete: the syntax tree for the DELETE statement.
    -4122    """
    -4123    return Delete(
    -4124        this=maybe_parse(table, into=Table, dialect=dialect, **opts),
    -4125        where=Where(this=where)
    -4126        if isinstance(where, Condition)
    -4127        else maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
    -4128    )
    +            
    4140def delete(table, where=None, dialect=None, **opts) -> Delete:
    +4141    """
    +4142    Builds a delete statement.
    +4143
    +4144    Example:
    +4145        >>> delete("my_table", where="id > 1").sql()
    +4146        'DELETE FROM my_table WHERE id > 1'
    +4147
    +4148    Args:
    +4149        where (str|Condition): sql conditional parsed into a WHERE statement
    +4150        dialect (str): the dialect used to parse the input expressions.
    +4151        **opts: other options to use to parse the input expressions.
    +4152
    +4153    Returns:
    +4154        Delete: the syntax tree for the DELETE statement.
    +4155    """
    +4156    return Delete(
    +4157        this=maybe_parse(table, into=Table, dialect=dialect, **opts),
    +4158        where=Where(this=where)
    +4159        if isinstance(where, Condition)
    +4160        else maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
    +4161    )
     
    @@ -40063,37 +40876,37 @@ auto converted to sql objects eg None -> NULL
    -
    4131def condition(expression, dialect=None, **opts) -> Condition:
    -4132    """
    -4133    Initialize a logical condition expression.
    -4134
    -4135    Example:
    -4136        >>> condition("x=1").sql()
    -4137        'x = 1'
    -4138
    -4139        This is helpful for composing larger logical syntax trees:
    -4140        >>> where = condition("x=1")
    -4141        >>> where = where.and_("y=1")
    -4142        >>> Select().from_("tbl").select("*").where(where).sql()
    -4143        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
    -4144
    -4145    Args:
    -4146        *expression (str | Expression): the SQL code string to parse.
    -4147            If an Expression instance is passed, this is used as-is.
    -4148        dialect (str): the dialect used to parse the input expression (in the case that the
    -4149            input expression is a SQL string).
    -4150        **opts: other options to use to parse the input expressions (again, in the case
    -4151            that the input expression is a SQL string).
    -4152
    -4153    Returns:
    -4154        Condition: the expression
    -4155    """
    -4156    return maybe_parse(  # type: ignore
    -4157        expression,
    -4158        into=Condition,
    -4159        dialect=dialect,
    -4160        **opts,
    -4161    )
    +            
    4164def condition(expression, dialect=None, **opts) -> Condition:
    +4165    """
    +4166    Initialize a logical condition expression.
    +4167
    +4168    Example:
    +4169        >>> condition("x=1").sql()
    +4170        'x = 1'
    +4171
    +4172        This is helpful for composing larger logical syntax trees:
    +4173        >>> where = condition("x=1")
    +4174        >>> where = where.and_("y=1")
    +4175        >>> Select().from_("tbl").select("*").where(where).sql()
    +4176        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
    +4177
    +4178    Args:
    +4179        *expression (str | Expression): the SQL code string to parse.
    +4180            If an Expression instance is passed, this is used as-is.
    +4181        dialect (str): the dialect used to parse the input expression (in the case that the
    +4182            input expression is a SQL string).
    +4183        **opts: other options to use to parse the input expressions (again, in the case
    +4184            that the input expression is a SQL string).
    +4185
    +4186    Returns:
    +4187        Condition: the expression
    +4188    """
    +4189    return maybe_parse(  # type: ignore
    +4190        expression,
    +4191        into=Condition,
    +4192        dialect=dialect,
    +4193        **opts,
    +4194    )
     
    @@ -40150,24 +40963,24 @@ that the input expression is a SQL string).
    -
    4164def and_(*expressions, dialect=None, **opts) -> And:
    -4165    """
    -4166    Combine multiple conditions with an AND logical operator.
    -4167
    -4168    Example:
    -4169        >>> and_("x=1", and_("y=1", "z=1")).sql()
    -4170        'x = 1 AND (y = 1 AND z = 1)'
    -4171
    -4172    Args:
    -4173        *expressions (str | Expression): the SQL code strings to parse.
    -4174            If an Expression instance is passed, this is used as-is.
    -4175        dialect (str): the dialect used to parse the input expression.
    -4176        **opts: other options to use to parse the input expressions.
    -4177
    -4178    Returns:
    -4179        And: the new condition
    -4180    """
    -4181    return _combine(expressions, And, dialect, **opts)
    +            
    4197def and_(*expressions, dialect=None, **opts) -> And:
    +4198    """
    +4199    Combine multiple conditions with an AND logical operator.
    +4200
    +4201    Example:
    +4202        >>> and_("x=1", and_("y=1", "z=1")).sql()
    +4203        'x = 1 AND (y = 1 AND z = 1)'
    +4204
    +4205    Args:
    +4206        *expressions (str | Expression): the SQL code strings to parse.
    +4207            If an Expression instance is passed, this is used as-is.
    +4208        dialect (str): the dialect used to parse the input expression.
    +4209        **opts: other options to use to parse the input expressions.
    +4210
    +4211    Returns:
    +4212        And: the new condition
    +4213    """
    +4214    return _combine(expressions, And, dialect, **opts)
     
    @@ -40212,24 +41025,24 @@ If an Expression instance is passed, this is used as-is.
    -
    4184def or_(*expressions, dialect=None, **opts) -> Or:
    -4185    """
    -4186    Combine multiple conditions with an OR logical operator.
    -4187
    -4188    Example:
    -4189        >>> or_("x=1", or_("y=1", "z=1")).sql()
    -4190        'x = 1 OR (y = 1 OR z = 1)'
    -4191
    -4192    Args:
    -4193        *expressions (str | Expression): the SQL code strings to parse.
    -4194            If an Expression instance is passed, this is used as-is.
    -4195        dialect (str): the dialect used to parse the input expression.
    -4196        **opts: other options to use to parse the input expressions.
    -4197
    -4198    Returns:
    -4199        Or: the new condition
    -4200    """
    -4201    return _combine(expressions, Or, dialect, **opts)
    +            
    4217def or_(*expressions, dialect=None, **opts) -> Or:
    +4218    """
    +4219    Combine multiple conditions with an OR logical operator.
    +4220
    +4221    Example:
    +4222        >>> or_("x=1", or_("y=1", "z=1")).sql()
    +4223        'x = 1 OR (y = 1 OR z = 1)'
    +4224
    +4225    Args:
    +4226        *expressions (str | Expression): the SQL code strings to parse.
    +4227            If an Expression instance is passed, this is used as-is.
    +4228        dialect (str): the dialect used to parse the input expression.
    +4229        **opts: other options to use to parse the input expressions.
    +4230
    +4231    Returns:
    +4232        Or: the new condition
    +4233    """
    +4234    return _combine(expressions, Or, dialect, **opts)
     
    @@ -40274,29 +41087,29 @@ If an Expression instance is passed, this is used as-is.
    -
    4204def not_(expression, dialect=None, **opts) -> Not:
    -4205    """
    -4206    Wrap a condition with a NOT operator.
    -4207
    -4208    Example:
    -4209        >>> not_("this_suit='black'").sql()
    -4210        "NOT this_suit = 'black'"
    -4211
    -4212    Args:
    -4213        expression (str | Expression): the SQL code strings to parse.
    -4214            If an Expression instance is passed, this is used as-is.
    -4215        dialect (str): the dialect used to parse the input expression.
    -4216        **opts: other options to use to parse the input expressions.
    -4217
    -4218    Returns:
    -4219        Not: the new condition
    -4220    """
    -4221    this = condition(
    -4222        expression,
    -4223        dialect=dialect,
    -4224        **opts,
    -4225    )
    -4226    return Not(this=_wrap_operator(this))
    +            
    4237def not_(expression, dialect=None, **opts) -> Not:
    +4238    """
    +4239    Wrap a condition with a NOT operator.
    +4240
    +4241    Example:
    +4242        >>> not_("this_suit='black'").sql()
    +4243        "NOT this_suit = 'black'"
    +4244
    +4245    Args:
    +4246        expression (str | Expression): the SQL code strings to parse.
    +4247            If an Expression instance is passed, this is used as-is.
    +4248        dialect (str): the dialect used to parse the input expression.
    +4249        **opts: other options to use to parse the input expressions.
    +4250
    +4251    Returns:
    +4252        Not: the new condition
    +4253    """
    +4254    this = condition(
    +4255        expression,
    +4256        dialect=dialect,
    +4257        **opts,
    +4258    )
    +4259    return Not(this=_wrap_operator(this))
     
    @@ -40341,8 +41154,8 @@ If an Expression instance is passed, this is used as-is.
    -
    4229def paren(expression) -> Paren:
    -4230    return Paren(this=expression)
    +            
    4262def paren(expression) -> Paren:
    +4263    return Paren(this=expression)
     
    @@ -40360,30 +41173,30 @@ If an Expression instance is passed, this is used as-is.
    -
    4246def to_identifier(name, quoted=None):
    -4247    """Builds an identifier.
    -4248
    -4249    Args:
    -4250        name: The name to turn into an identifier.
    -4251        quoted: Whether or not force quote the identifier.
    -4252
    -4253    Returns:
    -4254        The identifier ast node.
    -4255    """
    -4256
    -4257    if name is None:
    -4258        return None
    -4259
    -4260    if isinstance(name, Identifier):
    -4261        identifier = name
    -4262    elif isinstance(name, str):
    -4263        identifier = Identifier(
    -4264            this=name,
    -4265            quoted=not re.match(SAFE_IDENTIFIER_RE, name) if quoted is None else quoted,
    -4266        )
    -4267    else:
    -4268        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
    -4269    return identifier
    +            
    4279def to_identifier(name, quoted=None):
    +4280    """Builds an identifier.
    +4281
    +4282    Args:
    +4283        name: The name to turn into an identifier.
    +4284        quoted: Whether or not force quote the identifier.
    +4285
    +4286    Returns:
    +4287        The identifier ast node.
    +4288    """
    +4289
    +4290    if name is None:
    +4291        return None
    +4292
    +4293    if isinstance(name, Identifier):
    +4294        identifier = name
    +4295    elif isinstance(name, str):
    +4296        identifier = Identifier(
    +4297            this=name,
    +4298            quoted=not re.match(SAFE_IDENTIFIER_RE, name) if quoted is None else quoted,
    +4299        )
    +4300    else:
    +4301        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
    +4302    return identifier
     
    @@ -40416,23 +41229,23 @@ If an Expression instance is passed, this is used as-is.
    -
    4275def to_interval(interval: str | Literal) -> Interval:
    -4276    """Builds an interval expression from a string like '1 day' or '5 months'."""
    -4277    if isinstance(interval, Literal):
    -4278        if not interval.is_string:
    -4279            raise ValueError("Invalid interval string.")
    -4280
    -4281        interval = interval.this
    -4282
    -4283    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
    -4284
    -4285    if not interval_parts:
    -4286        raise ValueError("Invalid interval string.")
    -4287
    -4288    return Interval(
    -4289        this=Literal.string(interval_parts.group(1)),
    -4290        unit=Var(this=interval_parts.group(2)),
    -4291    )
    +            
    4308def to_interval(interval: str | Literal) -> Interval:
    +4309    """Builds an interval expression from a string like '1 day' or '5 months'."""
    +4310    if isinstance(interval, Literal):
    +4311        if not interval.is_string:
    +4312            raise ValueError("Invalid interval string.")
    +4313
    +4314        interval = interval.this
    +4315
    +4316    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
    +4317
    +4318    if not interval_parts:
    +4319        raise ValueError("Invalid interval string.")
    +4320
    +4321    return Interval(
    +4322        this=Literal.string(interval_parts.group(1)),
    +4323        unit=Var(this=interval_parts.group(2)),
    +4324    )
     
    @@ -40452,24 +41265,24 @@ If an Expression instance is passed, this is used as-is.
    -
    4304def to_table(sql_path: t.Optional[str | Table], **kwargs) -> t.Optional[Table]:
    -4305    """
    -4306    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
    -4307    If a table is passed in then that table is returned.
    -4308
    -4309    Args:
    -4310        sql_path: a `[catalog].[schema].[table]` string.
    -4311
    -4312    Returns:
    -4313        A table expression.
    -4314    """
    -4315    if sql_path is None or isinstance(sql_path, Table):
    -4316        return sql_path
    -4317    if not isinstance(sql_path, str):
    -4318        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
    -4319
    -4320    catalog, db, table_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 3))
    -4321    return Table(this=table_name, db=db, catalog=catalog, **kwargs)
    +            
    4337def to_table(sql_path: t.Optional[str | Table], **kwargs) -> t.Optional[Table]:
    +4338    """
    +4339    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
    +4340    If a table is passed in then that table is returned.
    +4341
    +4342    Args:
    +4343        sql_path: a `[catalog].[schema].[table]` string.
    +4344
    +4345    Returns:
    +4346        A table expression.
    +4347    """
    +4348    if sql_path is None or isinstance(sql_path, Table):
    +4349        return sql_path
    +4350    if not isinstance(sql_path, str):
    +4351        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
    +4352
    +4353    catalog, db, table_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 3))
    +4354    return Table(this=table_name, db=db, catalog=catalog, **kwargs)
     
    @@ -40502,23 +41315,23 @@ If a table is passed in then that table is returned.

    -
    4324def to_column(sql_path: str | Column, **kwargs) -> Column:
    -4325    """
    -4326    Create a column from a `[table].[column]` sql path. Schema is optional.
    -4327
    -4328    If a column is passed in then that column is returned.
    -4329
    -4330    Args:
    -4331        sql_path: `[table].[column]` string
    -4332    Returns:
    -4333        Table: A column expression
    -4334    """
    -4335    if sql_path is None or isinstance(sql_path, Column):
    -4336        return sql_path
    -4337    if not isinstance(sql_path, str):
    -4338        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
    -4339    table_name, column_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 2))
    -4340    return Column(this=column_name, table=table_name, **kwargs)
    +            
    4357def to_column(sql_path: str | Column, **kwargs) -> Column:
    +4358    """
    +4359    Create a column from a `[table].[column]` sql path. Schema is optional.
    +4360
    +4361    If a column is passed in then that column is returned.
    +4362
    +4363    Args:
    +4364        sql_path: `[table].[column]` string
    +4365    Returns:
    +4366        Table: A column expression
    +4367    """
    +4368    if sql_path is None or isinstance(sql_path, Column):
    +4369        return sql_path
    +4370    if not isinstance(sql_path, str):
    +4371        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
    +4372    table_name, column_name = (to_identifier(x) for x in split_num_words(sql_path, ".", 2))
    +4373    return Column(this=column_name, table=table_name, **kwargs)
     
    @@ -40552,60 +41365,60 @@ If a table is passed in then that table is returned.

    -
    4343def alias_(
    -4344    expression: str | Expression,
    -4345    alias: str | Identifier,
    -4346    table: bool | t.Sequence[str | Identifier] = False,
    -4347    quoted: t.Optional[bool] = None,
    -4348    dialect: DialectType = None,
    -4349    **opts,
    -4350):
    -4351    """Create an Alias expression.
    -4352
    -4353    Example:
    -4354        >>> alias_('foo', 'bar').sql()
    -4355        'foo AS bar'
    -4356
    -4357        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
    -4358        '(SELECT 1, 2) AS bar(a, b)'
    -4359
    -4360    Args:
    -4361        expression: the SQL code strings to parse.
    -4362            If an Expression instance is passed, this is used as-is.
    -4363        alias: the alias name to use. If the name has
    -4364            special characters it is quoted.
    -4365        table: Whether or not to create a table alias, can also be a list of columns.
    -4366        quoted: whether or not to quote the alias
    -4367        dialect: the dialect used to parse the input expression.
    -4368        **opts: other options to use to parse the input expressions.
    -4369
    -4370    Returns:
    -4371        Alias: the aliased expression
    -4372    """
    -4373    exp = maybe_parse(expression, dialect=dialect, **opts)
    -4374    alias = to_identifier(alias, quoted=quoted)
    -4375
    -4376    if table:
    -4377        table_alias = TableAlias(this=alias)
    -4378        exp.set("alias", table_alias)
    -4379
    -4380        if not isinstance(table, bool):
    -4381            for column in table:
    -4382                table_alias.append("columns", to_identifier(column, quoted=quoted))
    -4383
    -4384        return exp
    +            
    4376def alias_(
    +4377    expression: str | Expression,
    +4378    alias: str | Identifier,
    +4379    table: bool | t.Sequence[str | Identifier] = False,
    +4380    quoted: t.Optional[bool] = None,
    +4381    dialect: DialectType = None,
    +4382    **opts,
    +4383):
    +4384    """Create an Alias expression.
     4385
    -4386    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
    -4387    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
    -4388    # for the complete Window expression.
    -4389    #
    -4390    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
    -4391
    -4392    if "alias" in exp.arg_types and not isinstance(exp, Window):
    -4393        exp = exp.copy()
    -4394        exp.set("alias", alias)
    -4395        return exp
    -4396    return Alias(this=exp, alias=alias)
    +4386    Example:
    +4387        >>> alias_('foo', 'bar').sql()
    +4388        'foo AS bar'
    +4389
    +4390        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
    +4391        '(SELECT 1, 2) AS bar(a, b)'
    +4392
    +4393    Args:
    +4394        expression: the SQL code strings to parse.
    +4395            If an Expression instance is passed, this is used as-is.
    +4396        alias: the alias name to use. If the name has
    +4397            special characters it is quoted.
    +4398        table: Whether or not to create a table alias, can also be a list of columns.
    +4399        quoted: whether or not to quote the alias
    +4400        dialect: the dialect used to parse the input expression.
    +4401        **opts: other options to use to parse the input expressions.
    +4402
    +4403    Returns:
    +4404        Alias: the aliased expression
    +4405    """
    +4406    exp = maybe_parse(expression, dialect=dialect, **opts)
    +4407    alias = to_identifier(alias, quoted=quoted)
    +4408
    +4409    if table:
    +4410        table_alias = TableAlias(this=alias)
    +4411        exp.set("alias", table_alias)
    +4412
    +4413        if not isinstance(table, bool):
    +4414            for column in table:
    +4415                table_alias.append("columns", to_identifier(column, quoted=quoted))
    +4416
    +4417        return exp
    +4418
    +4419    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
    +4420    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
    +4421    # for the complete Window expression.
    +4422    #
    +4423    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
    +4424
    +4425    if "alias" in exp.arg_types and not isinstance(exp, Window):
    +4426        exp = exp.copy()
    +4427        exp.set("alias", alias)
    +4428        return exp
    +4429    return Alias(this=exp, alias=alias)
     
    @@ -40660,27 +41473,27 @@ special characters it is quoted.
    -
    4399def subquery(expression, alias=None, dialect=None, **opts):
    -4400    """
    -4401    Build a subquery expression.
    -4402
    -4403    Example:
    -4404        >>> subquery('select x from tbl', 'bar').select('x').sql()
    -4405        'SELECT x FROM (SELECT x FROM tbl) AS bar'
    -4406
    -4407    Args:
    -4408        expression (str | Expression): the SQL code strings to parse.
    -4409            If an Expression instance is passed, this is used as-is.
    -4410        alias (str | Expression): the alias name to use.
    -4411        dialect (str): the dialect used to parse the input expression.
    -4412        **opts: other options to use to parse the input expressions.
    -4413
    -4414    Returns:
    -4415        Select: a new select with the subquery expression included
    -4416    """
    -4417
    -4418    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
    -4419    return Select().from_(expression, dialect=dialect, **opts)
    +            
    4432def subquery(expression, alias=None, dialect=None, **opts):
    +4433    """
    +4434    Build a subquery expression.
    +4435
    +4436    Example:
    +4437        >>> subquery('select x from tbl', 'bar').select('x').sql()
    +4438        'SELECT x FROM (SELECT x FROM tbl) AS bar'
    +4439
    +4440    Args:
    +4441        expression (str | Expression): the SQL code strings to parse.
    +4442            If an Expression instance is passed, this is used as-is.
    +4443        alias (str | Expression): the alias name to use.
    +4444        dialect (str): the dialect used to parse the input expression.
    +4445        **opts: other options to use to parse the input expressions.
    +4446
    +4447    Returns:
    +4448        Select: a new select with the subquery expression included
    +4449    """
    +4450
    +4451    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
    +4452    return Select().from_(expression, dialect=dialect, **opts)
     
    @@ -40726,28 +41539,28 @@ If an Expression instance is passed, this is used as-is.
    -
    4422def column(
    -4423    col: str | Identifier,
    -4424    table: t.Optional[str | Identifier] = None,
    -4425    schema: t.Optional[str | Identifier] = None,
    -4426    quoted: t.Optional[bool] = None,
    -4427) -> Column:
    -4428    """
    -4429    Build a Column.
    -4430
    -4431    Args:
    -4432        col: column name
    -4433        table: table name
    -4434        schema: schema name
    -4435        quoted: whether or not to force quote each part
    -4436    Returns:
    -4437        Column: column instance
    -4438    """
    -4439    return Column(
    -4440        this=to_identifier(col, quoted=quoted),
    -4441        table=to_identifier(table, quoted=quoted),
    -4442        schema=to_identifier(schema, quoted=quoted),
    -4443    )
    +            
    4455def column(
    +4456    col: str | Identifier,
    +4457    table: t.Optional[str | Identifier] = None,
    +4458    schema: t.Optional[str | Identifier] = None,
    +4459    quoted: t.Optional[bool] = None,
    +4460) -> Column:
    +4461    """
    +4462    Build a Column.
    +4463
    +4464    Args:
    +4465        col: column name
    +4466        table: table name
    +4467        schema: schema name
    +4468        quoted: whether or not to force quote each part
    +4469    Returns:
    +4470        Column: column instance
    +4471    """
    +4472    return Column(
    +4473        this=to_identifier(col, quoted=quoted),
    +4474        table=to_identifier(table, quoted=quoted),
    +4475        schema=to_identifier(schema, quoted=quoted),
    +4476    )
     
    @@ -40782,22 +41595,22 @@ If an Expression instance is passed, this is used as-is.
    -
    4446def cast(expression: str | Expression, to: str | DataType | DataType.Type, **opts) -> Cast:
    -4447    """Cast an expression to a data type.
    -4448
    -4449    Example:
    -4450        >>> cast('x + 1', 'int').sql()
    -4451        'CAST(x + 1 AS INT)'
    -4452
    -4453    Args:
    -4454        expression: The expression to cast.
    -4455        to: The datatype to cast to.
    -4456
    -4457    Returns:
    -4458        A cast node.
    -4459    """
    -4460    expression = maybe_parse(expression, **opts)
    -4461    return Cast(this=expression, to=DataType.build(to, **opts))
    +            
    4479def cast(expression: str | Expression, to: str | DataType | DataType.Type, **opts) -> Cast:
    +4480    """Cast an expression to a data type.
    +4481
    +4482    Example:
    +4483        >>> cast('x + 1', 'int').sql()
    +4484        'CAST(x + 1 AS INT)'
    +4485
    +4486    Args:
    +4487        expression: The expression to cast.
    +4488        to: The datatype to cast to.
    +4489
    +4490    Returns:
    +4491        A cast node.
    +4492    """
    +4493    expression = maybe_parse(expression, **opts)
    +4494    return Cast(this=expression, to=DataType.build(to, **opts))
     
    @@ -40840,23 +41653,23 @@ If an Expression instance is passed, this is used as-is.
    -
    4464def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table:
    -4465    """Build a Table.
    -4466
    -4467    Args:
    -4468        table (str | Expression): column name
    -4469        db (str | Expression): db name
    -4470        catalog (str | Expression): catalog name
    -4471
    -4472    Returns:
    -4473        Table: table instance
    -4474    """
    -4475    return Table(
    -4476        this=to_identifier(table, quoted=quoted),
    -4477        db=to_identifier(db, quoted=quoted),
    -4478        catalog=to_identifier(catalog, quoted=quoted),
    -4479        alias=TableAlias(this=to_identifier(alias)) if alias else None,
    -4480    )
    +            
    4497def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table:
    +4498    """Build a Table.
    +4499
    +4500    Args:
    +4501        table (str | Expression): column name
    +4502        db (str | Expression): db name
    +4503        catalog (str | Expression): catalog name
    +4504
    +4505    Returns:
    +4506        Table: table instance
    +4507    """
    +4508    return Table(
    +4509        this=to_identifier(table, quoted=quoted),
    +4510        db=to_identifier(db, quoted=quoted),
    +4511        catalog=to_identifier(catalog, quoted=quoted),
    +4512        alias=TableAlias(this=to_identifier(alias)) if alias else None,
    +4513    )
     
    @@ -40890,46 +41703,46 @@ If an Expression instance is passed, this is used as-is.
    -
    4483def values(
    -4484    values: t.Iterable[t.Tuple[t.Any, ...]],
    -4485    alias: t.Optional[str] = None,
    -4486    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
    -4487) -> Values:
    -4488    """Build VALUES statement.
    -4489
    -4490    Example:
    -4491        >>> values([(1, '2')]).sql()
    -4492        "VALUES (1, '2')"
    -4493
    -4494    Args:
    -4495        values: values statements that will be converted to SQL
    -4496        alias: optional alias
    -4497        columns: Optional list of ordered column names or ordered dictionary of column names to types.
    -4498         If either are provided then an alias is also required.
    -4499         If a dictionary is provided then the first column of the values will be casted to the expected type
    -4500         in order to help with type inference.
    -4501
    -4502    Returns:
    -4503        Values: the Values expression object
    -4504    """
    -4505    if columns and not alias:
    -4506        raise ValueError("Alias is required when providing columns")
    -4507    table_alias = (
    -4508        TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
    -4509        if columns
    -4510        else TableAlias(this=to_identifier(alias) if alias else None)
    -4511    )
    -4512    expressions = [convert(tup) for tup in values]
    -4513    if columns and isinstance(columns, dict):
    -4514        types = list(columns.values())
    -4515        expressions[0].set(
    -4516            "expressions",
    -4517            [cast(x, types[i]) for i, x in enumerate(expressions[0].expressions)],
    -4518        )
    -4519    return Values(
    -4520        expressions=expressions,
    -4521        alias=table_alias,
    -4522    )
    +            
    4516def values(
    +4517    values: t.Iterable[t.Tuple[t.Any, ...]],
    +4518    alias: t.Optional[str] = None,
    +4519    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
    +4520) -> Values:
    +4521    """Build VALUES statement.
    +4522
    +4523    Example:
    +4524        >>> values([(1, '2')]).sql()
    +4525        "VALUES (1, '2')"
    +4526
    +4527    Args:
    +4528        values: values statements that will be converted to SQL
    +4529        alias: optional alias
    +4530        columns: Optional list of ordered column names or ordered dictionary of column names to types.
    +4531         If either are provided then an alias is also required.
    +4532         If a dictionary is provided then the first column of the values will be casted to the expected type
    +4533         in order to help with type inference.
    +4534
    +4535    Returns:
    +4536        Values: the Values expression object
    +4537    """
    +4538    if columns and not alias:
    +4539        raise ValueError("Alias is required when providing columns")
    +4540    table_alias = (
    +4541        TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
    +4542        if columns
    +4543        else TableAlias(this=to_identifier(alias) if alias else None)
    +4544    )
    +4545    expressions = [convert(tup) for tup in values]
    +4546    if columns and isinstance(columns, dict):
    +4547        types = list(columns.values())
    +4548        expressions[0].set(
    +4549            "expressions",
    +4550            [cast(x, types[i]) for i, x in enumerate(expressions[0].expressions)],
    +4551        )
    +4552    return Values(
    +4553        expressions=expressions,
    +4554        alias=table_alias,
    +4555    )
     
    @@ -40976,28 +41789,28 @@ in order to help with type inference.
    -
    4525def var(name: t.Optional[str | Expression]) -> Var:
    -4526    """Build a SQL variable.
    -4527
    -4528    Example:
    -4529        >>> repr(var('x'))
    -4530        '(VAR this: x)'
    -4531
    -4532        >>> repr(var(column('x', table='y')))
    -4533        '(VAR this: x)'
    -4534
    -4535    Args:
    -4536        name: The name of the var or an expression who's name will become the var.
    -4537
    -4538    Returns:
    -4539        The new variable node.
    -4540    """
    -4541    if not name:
    -4542        raise ValueError(f"Cannot convert empty name into var.")
    -4543
    -4544    if isinstance(name, Expression):
    -4545        name = name.name
    -4546    return Var(this=name)
    +            
    4558def var(name: t.Optional[str | Expression]) -> Var:
    +4559    """Build a SQL variable.
    +4560
    +4561    Example:
    +4562        >>> repr(var('x'))
    +4563        '(VAR this: x)'
    +4564
    +4565        >>> repr(var(column('x', table='y')))
    +4566        '(VAR this: x)'
    +4567
    +4568    Args:
    +4569        name: The name of the var or an expression who's name will become the var.
    +4570
    +4571    Returns:
    +4572        The new variable node.
    +4573    """
    +4574    if not name:
    +4575        raise ValueError(f"Cannot convert empty name into var.")
    +4576
    +4577    if isinstance(name, Expression):
    +4578        name = name.name
    +4579    return Var(this=name)
     
    @@ -41045,24 +41858,24 @@ in order to help with type inference.
    -
    4549def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
    -4550    """Build ALTER TABLE... RENAME... expression
    -4551
    -4552    Args:
    -4553        old_name: The old name of the table
    -4554        new_name: The new name of the table
    -4555
    -4556    Returns:
    -4557        Alter table expression
    -4558    """
    -4559    old_table = to_table(old_name)
    -4560    new_table = to_table(new_name)
    -4561    return AlterTable(
    -4562        this=old_table,
    -4563        actions=[
    -4564            RenameTable(this=new_table),
    -4565        ],
    -4566    )
    +            
    4582def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
    +4583    """Build ALTER TABLE... RENAME... expression
    +4584
    +4585    Args:
    +4586        old_name: The old name of the table
    +4587        new_name: The new name of the table
    +4588
    +4589    Returns:
    +4590        Alter table expression
    +4591    """
    +4592    old_table = to_table(old_name)
    +4593    new_table = to_table(new_name)
    +4594    return AlterTable(
    +4595        this=old_table,
    +4596        actions=[
    +4597            RenameTable(this=new_table),
    +4598        ],
    +4599    )
     
    @@ -41095,47 +41908,47 @@ in order to help with type inference.
    -
    4569def convert(value) -> Expression:
    -4570    """Convert a python value into an expression object.
    -4571
    -4572    Raises an error if a conversion is not possible.
    -4573
    -4574    Args:
    -4575        value (Any): a python object
    -4576
    -4577    Returns:
    -4578        Expression: the equivalent expression object
    -4579    """
    -4580    if isinstance(value, Expression):
    -4581        return value
    -4582    if value is None:
    -4583        return NULL
    -4584    if isinstance(value, bool):
    -4585        return Boolean(this=value)
    -4586    if isinstance(value, str):
    -4587        return Literal.string(value)
    -4588    if isinstance(value, float) and math.isnan(value):
    -4589        return NULL
    -4590    if isinstance(value, numbers.Number):
    -4591        return Literal.number(value)
    -4592    if isinstance(value, tuple):
    -4593        return Tuple(expressions=[convert(v) for v in value])
    -4594    if isinstance(value, list):
    -4595        return Array(expressions=[convert(v) for v in value])
    -4596    if isinstance(value, dict):
    -4597        return Map(
    -4598            keys=[convert(k) for k in value],
    -4599            values=[convert(v) for v in value.values()],
    -4600        )
    -4601    if isinstance(value, datetime.datetime):
    -4602        datetime_literal = Literal.string(
    -4603            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
    -4604        )
    -4605        return TimeStrToTime(this=datetime_literal)
    -4606    if isinstance(value, datetime.date):
    -4607        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
    -4608        return DateStrToDate(this=date_literal)
    -4609    raise ValueError(f"Cannot convert {value}")
    +            
    4602def convert(value) -> Expression:
    +4603    """Convert a python value into an expression object.
    +4604
    +4605    Raises an error if a conversion is not possible.
    +4606
    +4607    Args:
    +4608        value (Any): a python object
    +4609
    +4610    Returns:
    +4611        Expression: the equivalent expression object
    +4612    """
    +4613    if isinstance(value, Expression):
    +4614        return value
    +4615    if value is None:
    +4616        return NULL
    +4617    if isinstance(value, bool):
    +4618        return Boolean(this=value)
    +4619    if isinstance(value, str):
    +4620        return Literal.string(value)
    +4621    if isinstance(value, float) and math.isnan(value):
    +4622        return NULL
    +4623    if isinstance(value, numbers.Number):
    +4624        return Literal.number(value)
    +4625    if isinstance(value, tuple):
    +4626        return Tuple(expressions=[convert(v) for v in value])
    +4627    if isinstance(value, list):
    +4628        return Array(expressions=[convert(v) for v in value])
    +4629    if isinstance(value, dict):
    +4630        return Map(
    +4631            keys=[convert(k) for k in value],
    +4632            values=[convert(v) for v in value.values()],
    +4633        )
    +4634    if isinstance(value, datetime.datetime):
    +4635        datetime_literal = Literal.string(
    +4636            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
    +4637        )
    +4638        return TimeStrToTime(this=datetime_literal)
    +4639    if isinstance(value, datetime.date):
    +4640        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
    +4641        return DateStrToDate(this=date_literal)
    +4642    raise ValueError(f"Cannot convert {value}")
     
    @@ -41169,26 +41982,26 @@ in order to help with type inference.
    -
    4612def replace_children(expression, fun):
    -4613    """
    -4614    Replace children of an expression with the result of a lambda fun(child) -> exp.
    -4615    """
    -4616    for k, v in expression.args.items():
    -4617        is_list_arg = isinstance(v, list)
    -4618
    -4619        child_nodes = v if is_list_arg else [v]
    -4620        new_child_nodes = []
    -4621
    -4622        for cn in child_nodes:
    -4623            if isinstance(cn, Expression):
    -4624                for child_node in ensure_collection(fun(cn)):
    -4625                    new_child_nodes.append(child_node)
    -4626                    child_node.parent = expression
    -4627                    child_node.arg_key = k
    -4628            else:
    -4629                new_child_nodes.append(cn)
    -4630
    -4631        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
    +            
    4645def replace_children(expression, fun):
    +4646    """
    +4647    Replace children of an expression with the result of a lambda fun(child) -> exp.
    +4648    """
    +4649    for k, v in expression.args.items():
    +4650        is_list_arg = isinstance(v, list)
    +4651
    +4652        child_nodes = v if is_list_arg else [v]
    +4653        new_child_nodes = []
    +4654
    +4655        for cn in child_nodes:
    +4656            if isinstance(cn, Expression):
    +4657                for child_node in ensure_collection(fun(cn)):
    +4658                    new_child_nodes.append(child_node)
    +4659                    child_node.parent = expression
    +4660                    child_node.arg_key = k
    +4661            else:
    +4662                new_child_nodes.append(cn)
    +4663
    +4664        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
     
    @@ -41208,22 +42021,22 @@ in order to help with type inference.
    -
    4634def column_table_names(expression):
    -4635    """
    -4636    Return all table names referenced through columns in an expression.
    -4637
    -4638    Example:
    -4639        >>> import sqlglot
    -4640        >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
    -4641        ['c', 'a']
    -4642
    -4643    Args:
    -4644        expression (sqlglot.Expression): expression to find table names
    -4645
    -4646    Returns:
    -4647        list: A list of unique names
    -4648    """
    -4649    return list(dict.fromkeys(column.table for column in expression.find_all(Column)))
    +            
    4667def column_table_names(expression):
    +4668    """
    +4669    Return all table names referenced through columns in an expression.
    +4670
    +4671    Example:
    +4672        >>> import sqlglot
    +4673        >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
    +4674        ['c', 'a']
    +4675
    +4676    Args:
    +4677        expression (sqlglot.Expression): expression to find table names
    +4678
    +4679    Returns:
    +4680        list: A list of unique names
    +4681    """
    +4682    return list(dict.fromkeys(column.table for column in expression.find_all(Column)))
     
    @@ -41266,35 +42079,35 @@ in order to help with type inference.
    -
    4652def table_name(table) -> str:
    -4653    """Get the full name of a table as a string.
    -4654
    -4655    Args:
    -4656        table (exp.Table | str): table expression node or string.
    -4657
    -4658    Examples:
    -4659        >>> from sqlglot import exp, parse_one
    -4660        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
    -4661        'a.b.c'
    -4662
    -4663    Returns:
    -4664        The table name.
    -4665    """
    -4666
    -4667    table = maybe_parse(table, into=Table)
    -4668
    -4669    if not table:
    -4670        raise ValueError(f"Cannot parse {table}")
    -4671
    -4672    return ".".join(
    -4673        part
    -4674        for part in (
    -4675            table.text("catalog"),
    -4676            table.text("db"),
    -4677            table.name,
    -4678        )
    -4679        if part
    -4680    )
    +            
    4685def table_name(table) -> str:
    +4686    """Get the full name of a table as a string.
    +4687
    +4688    Args:
    +4689        table (exp.Table | str): table expression node or string.
    +4690
    +4691    Examples:
    +4692        >>> from sqlglot import exp, parse_one
    +4693        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
    +4694        'a.b.c'
    +4695
    +4696    Returns:
    +4697        The table name.
    +4698    """
    +4699
    +4700    table = maybe_parse(table, into=Table)
    +4701
    +4702    if not table:
    +4703        raise ValueError(f"Cannot parse {table}")
    +4704
    +4705    return ".".join(
    +4706        part
    +4707        for part in (
    +4708            table.text("catalog"),
    +4709            table.text("db"),
    +4710            table.name,
    +4711        )
    +4712        if part
    +4713    )
     
    @@ -41337,33 +42150,33 @@ in order to help with type inference.
    -
    4683def replace_tables(expression, mapping):
    -4684    """Replace all tables in expression according to the mapping.
    -4685
    -4686    Args:
    -4687        expression (sqlglot.Expression): expression node to be transformed and replaced.
    -4688        mapping (Dict[str, str]): mapping of table names.
    -4689
    -4690    Examples:
    -4691        >>> from sqlglot import exp, parse_one
    -4692        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
    -4693        'SELECT * FROM c'
    -4694
    -4695    Returns:
    -4696        The mapped expression.
    -4697    """
    -4698
    -4699    def _replace_tables(node):
    -4700        if isinstance(node, Table):
    -4701            new_name = mapping.get(table_name(node))
    -4702            if new_name:
    -4703                return to_table(
    -4704                    new_name,
    -4705                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
    -4706                )
    -4707        return node
    -4708
    -4709    return expression.transform(_replace_tables)
    +            
    4716def replace_tables(expression, mapping):
    +4717    """Replace all tables in expression according to the mapping.
    +4718
    +4719    Args:
    +4720        expression (sqlglot.Expression): expression node to be transformed and replaced.
    +4721        mapping (Dict[str, str]): mapping of table names.
    +4722
    +4723    Examples:
    +4724        >>> from sqlglot import exp, parse_one
    +4725        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
    +4726        'SELECT * FROM c'
    +4727
    +4728    Returns:
    +4729        The mapped expression.
    +4730    """
    +4731
    +4732    def _replace_tables(node):
    +4733        if isinstance(node, Table):
    +4734            new_name = mapping.get(table_name(node))
    +4735            if new_name:
    +4736                return to_table(
    +4737                    new_name,
    +4738                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
    +4739                )
    +4740        return node
    +4741
    +4742    return expression.transform(_replace_tables)
     
    @@ -41407,39 +42220,39 @@ in order to help with type inference.
    -
    4712def replace_placeholders(expression, *args, **kwargs):
    -4713    """Replace placeholders in an expression.
    -4714
    -4715    Args:
    -4716        expression (sqlglot.Expression): expression node to be transformed and replaced.
    -4717        args: positional names that will substitute unnamed placeholders in the given order.
    -4718        kwargs: keyword arguments that will substitute named placeholders.
    -4719
    -4720    Examples:
    -4721        >>> from sqlglot import exp, parse_one
    -4722        >>> replace_placeholders(
    -4723        ...     parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo"
    -4724        ... ).sql()
    -4725        'SELECT * FROM foo WHERE a = b'
    -4726
    -4727    Returns:
    -4728        The mapped expression.
    -4729    """
    -4730
    -4731    def _replace_placeholders(node, args, **kwargs):
    -4732        if isinstance(node, Placeholder):
    -4733            if node.name:
    -4734                new_name = kwargs.get(node.name)
    -4735                if new_name:
    -4736                    return to_identifier(new_name)
    -4737            else:
    -4738                try:
    -4739                    return to_identifier(next(args))
    -4740                except StopIteration:
    -4741                    pass
    -4742        return node
    -4743
    -4744    return expression.transform(_replace_placeholders, iter(args), **kwargs)
    +            
    4745def replace_placeholders(expression, *args, **kwargs):
    +4746    """Replace placeholders in an expression.
    +4747
    +4748    Args:
    +4749        expression (sqlglot.Expression): expression node to be transformed and replaced.
    +4750        args: positional names that will substitute unnamed placeholders in the given order.
    +4751        kwargs: keyword arguments that will substitute named placeholders.
    +4752
    +4753    Examples:
    +4754        >>> from sqlglot import exp, parse_one
    +4755        >>> replace_placeholders(
    +4756        ...     parse_one("select * from :tbl where ? = ?"), "a", "b", tbl="foo"
    +4757        ... ).sql()
    +4758        'SELECT * FROM foo WHERE a = b'
    +4759
    +4760    Returns:
    +4761        The mapped expression.
    +4762    """
    +4763
    +4764    def _replace_placeholders(node, args, **kwargs):
    +4765        if isinstance(node, Placeholder):
    +4766            if node.name:
    +4767                new_name = kwargs.get(node.name)
    +4768                if new_name:
    +4769                    return to_identifier(new_name)
    +4770            else:
    +4771                try:
    +4772                    return to_identifier(next(args))
    +4773                except StopIteration:
    +4774                    pass
    +4775        return node
    +4776
    +4777    return expression.transform(_replace_placeholders, iter(args), **kwargs)
     
    @@ -41486,34 +42299,34 @@ in order to help with type inference.
    -
    4747def expand(expression: Expression, sources: t.Dict[str, Subqueryable], copy=True) -> Expression:
    -4748    """Transforms an expression by expanding all referenced sources into subqueries.
    -4749
    -4750    Examples:
    -4751        >>> from sqlglot import parse_one
    -4752        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
    -4753        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
    -4754
    -4755    Args:
    -4756        expression: The expression to expand.
    -4757        sources: A dictionary of name to Subqueryables.
    -4758        copy: Whether or not to copy the expression during transformation. Defaults to True.
    -4759
    -4760    Returns:
    -4761        The transformed expression.
    -4762    """
    -4763
    -4764    def _expand(node: Expression):
    -4765        if isinstance(node, Table):
    -4766            name = table_name(node)
    -4767            source = sources.get(name)
    -4768            if source:
    -4769                subquery = source.subquery(node.alias or name)
    -4770                subquery.comments = [f"source: {name}"]
    -4771                return subquery
    -4772        return node
    -4773
    -4774    return expression.transform(_expand, copy=copy)
    +            
    4780def expand(expression: Expression, sources: t.Dict[str, Subqueryable], copy=True) -> Expression:
    +4781    """Transforms an expression by expanding all referenced sources into subqueries.
    +4782
    +4783    Examples:
    +4784        >>> from sqlglot import parse_one
    +4785        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
    +4786        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
    +4787
    +4788    Args:
    +4789        expression: The expression to expand.
    +4790        sources: A dictionary of name to Subqueryables.
    +4791        copy: Whether or not to copy the expression during transformation. Defaults to True.
    +4792
    +4793    Returns:
    +4794        The transformed expression.
    +4795    """
    +4796
    +4797    def _expand(node: Expression):
    +4798        if isinstance(node, Table):
    +4799            name = table_name(node)
    +4800            source = sources.get(name)
    +4801            if source:
    +4802                subquery = source.subquery(node.alias or name)
    +4803                subquery.comments = [f"source: {name}"]
    +4804                return subquery
    +4805        return node
    +4806
    +4807    return expression.transform(_expand, copy=copy)
     
    @@ -41558,51 +42371,51 @@ in order to help with type inference.
    -
    4777def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
    -4778    """
    -4779    Returns a Func expression.
    -4780
    -4781    Examples:
    -4782        >>> func("abs", 5).sql()
    -4783        'ABS(5)'
    -4784
    -4785        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
    -4786        'CAST(5 AS DOUBLE)'
    -4787
    -4788    Args:
    -4789        name: the name of the function to build.
    -4790        args: the args used to instantiate the function of interest.
    -4791        dialect: the source dialect.
    -4792        kwargs: the kwargs used to instantiate the function of interest.
    -4793
    -4794    Note:
    -4795        The arguments `args` and `kwargs` are mutually exclusive.
    -4796
    -4797    Returns:
    -4798        An instance of the function of interest, or an anonymous function, if `name` doesn't
    -4799        correspond to an existing `sqlglot.expressions.Func` class.
    -4800    """
    -4801    if args and kwargs:
    -4802        raise ValueError("Can't use both args and kwargs to instantiate a function.")
    -4803
    -4804    from sqlglot.dialects.dialect import Dialect
    -4805
    -4806    args = tuple(convert(arg) for arg in args)
    -4807    kwargs = {key: convert(value) for key, value in kwargs.items()}
    -4808
    -4809    parser = Dialect.get_or_raise(dialect)().parser()
    -4810    from_args_list = parser.FUNCTIONS.get(name.upper())
    -4811
    -4812    if from_args_list:
    -4813        function = from_args_list(args) if args else from_args_list.__self__(**kwargs)  # type: ignore
    -4814    else:
    -4815        kwargs = kwargs or {"expressions": args}
    -4816        function = Anonymous(this=name, **kwargs)
    +            
    4810def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
    +4811    """
    +4812    Returns a Func expression.
    +4813
    +4814    Examples:
    +4815        >>> func("abs", 5).sql()
    +4816        'ABS(5)'
     4817
    -4818    for error_message in function.error_messages(args):
    -4819        raise ValueError(error_message)
    +4818        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
    +4819        'CAST(5 AS DOUBLE)'
     4820
    -4821    return function
    +4821    Args:
    +4822        name: the name of the function to build.
    +4823        args: the args used to instantiate the function of interest.
    +4824        dialect: the source dialect.
    +4825        kwargs: the kwargs used to instantiate the function of interest.
    +4826
    +4827    Note:
    +4828        The arguments `args` and `kwargs` are mutually exclusive.
    +4829
    +4830    Returns:
    +4831        An instance of the function of interest, or an anonymous function, if `name` doesn't
    +4832        correspond to an existing `sqlglot.expressions.Func` class.
    +4833    """
    +4834    if args and kwargs:
    +4835        raise ValueError("Can't use both args and kwargs to instantiate a function.")
    +4836
    +4837    from sqlglot.dialects.dialect import Dialect
    +4838
    +4839    args = tuple(convert(arg) for arg in args)
    +4840    kwargs = {key: convert(value) for key, value in kwargs.items()}
    +4841
    +4842    parser = Dialect.get_or_raise(dialect)().parser()
    +4843    from_args_list = parser.FUNCTIONS.get(name.upper())
    +4844
    +4845    if from_args_list:
    +4846        function = from_args_list(args) if args else from_args_list.__self__(**kwargs)  # type: ignore
    +4847    else:
    +4848        kwargs = kwargs or {"expressions": args}
    +4849        function = Anonymous(this=name, **kwargs)
    +4850
    +4851    for error_message in function.error_messages(args):
    +4852        raise ValueError(error_message)
    +4853
    +4854    return function
     
    @@ -41660,11 +42473,11 @@ in order to help with type inference.
    -
    4824def true():
    -4825    """
    -4826    Returns a true Boolean expression.
    -4827    """
    -4828    return Boolean(this=True)
    +            
    4857def true():
    +4858    """
    +4859    Returns a true Boolean expression.
    +4860    """
    +4861    return Boolean(this=True)
     
    @@ -41684,11 +42497,11 @@ in order to help with type inference.
    -
    4831def false():
    -4832    """
    -4833    Returns a false Boolean expression.
    -4834    """
    -4835    return Boolean(this=False)
    +            
    4864def false():
    +4865    """
    +4866    Returns a false Boolean expression.
    +4867    """
    +4868    return Boolean(this=False)
     
    @@ -41708,11 +42521,11 @@ in order to help with type inference.
    -
    4838def null():
    -4839    """
    -4840    Returns a Null expression.
    -4841    """
    -4842    return Null()
    +            
    4871def null():
    +4872    """
    +4873    Returns a Null expression.
    +4874    """
    +4875    return Null()
     
    diff --git a/docs/sqlglot/generator.html b/docs/sqlglot/generator.html index 055a3f1..d59ad49 100644 --- a/docs/sqlglot/generator.html +++ b/docs/sqlglot/generator.html @@ -495,6 +495,9 @@
  • command_sql
  • +
  • + comment_sql +
  • transaction_sql
  • @@ -537,6 +540,9 @@
  • div_sql
  • +
  • + overlaps_sql +
  • distance_sql
  • @@ -1235,1403 +1241,1421 @@
    550 else: 551 expression_sql = f" AS{expression_sql}" 552 - 553 replace = " OR REPLACE" if expression.args.get("replace") else "" - 554 unique = " UNIQUE" if expression.args.get("unique") else "" - 555 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" - 556 - 557 indexes = expression.args.get("indexes") - 558 index_sql = "" - 559 if indexes: - 560 indexes_sql = [] - 561 for index in indexes: - 562 ind_unique = " UNIQUE" if index.args.get("unique") else "" - 563 ind_primary = " PRIMARY" if index.args.get("primary") else "" - 564 ind_amp = " AMP" if index.args.get("amp") else "" - 565 ind_name = f" {index.name}" if index.name else "" - 566 ind_columns = ( - 567 f' ({self.expressions(index, key="columns", flat=True)})' - 568 if index.args.get("columns") - 569 else "" - 570 ) - 571 if index.args.get("primary") and properties_locs.get( - 572 exp.Properties.Location.POST_INDEX - 573 ): - 574 postindex_props_sql = self.properties( - 575 exp.Properties( - 576 expressions=properties_locs[exp.Properties.Location.POST_INDEX] - 577 ), - 578 wrapped=False, - 579 ) - 580 ind_columns = f"{ind_columns} {postindex_props_sql}" - 581 - 582 indexes_sql.append( - 583 f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" - 584 ) + 553 postindex_props_sql = "" + 554 if properties_locs.get(exp.Properties.Location.POST_INDEX): + 555 postindex_props_sql = self.properties( + 556 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]), + 557 wrapped=False, + 558 prefix=" ", + 559 ) + 560 + 561 indexes = expression.args.get("indexes") + 562 if indexes: + 563 indexes_sql: t.List[str] = [] + 564 for index in indexes: + 565 ind_unique = " UNIQUE" if index.args.get("unique") else "" + 566 ind_primary = " PRIMARY" if index.args.get("primary") else "" + 567 ind_amp = " AMP" if index.args.get("amp") else "" + 568 ind_name = f" {index.name}" if index.name else "" + 569 ind_columns = ( + 570 f' ({self.expressions(index, key="columns", flat=True)})' + 571 if index.args.get("columns") + 572 else "" + 573 ) + 574 ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" + 575 + 576 if indexes_sql: + 577 indexes_sql.append(ind_sql) + 578 else: + 579 indexes_sql.append( + 580 f"{ind_sql}{postindex_props_sql}" + 581 if index.args.get("primary") + 582 else f"{postindex_props_sql}{ind_sql}" + 583 ) + 584 585 index_sql = "".join(indexes_sql) - 586 - 587 postcreate_props_sql = "" - 588 if properties_locs.get(exp.Properties.Location.POST_CREATE): - 589 postcreate_props_sql = self.properties( - 590 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), - 591 sep=" ", - 592 prefix=" ", - 593 wrapped=False, - 594 ) - 595 - 596 modifiers = "".join((replace, unique, postcreate_props_sql)) - 597 - 598 postexpression_props_sql = "" - 599 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): - 600 postexpression_props_sql = self.properties( - 601 exp.Properties( - 602 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] - 603 ), - 604 sep=" ", - 605 prefix=" ", - 606 wrapped=False, - 607 ) - 608 - 609 no_schema_binding = ( - 610 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" - 611 ) - 612 - 613 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" - 614 return self.prepend_ctes(expression, expression_sql) - 615 - 616 def describe_sql(self, expression: exp.Describe) -> str: - 617 return f"DESCRIBE {self.sql(expression, 'this')}" - 618 - 619 def prepend_ctes(self, expression: exp.Expression, sql: str) -> str: - 620 with_ = self.sql(expression, "with") - 621 if with_: - 622 sql = f"{with_}{self.sep()}{sql}" - 623 return sql - 624 - 625 def with_sql(self, expression: exp.With) -> str: - 626 sql = self.expressions(expression, flat=True) - 627 recursive = "RECURSIVE " if expression.args.get("recursive") else "" - 628 - 629 return f"WITH {recursive}{sql}" - 630 - 631 def cte_sql(self, expression: exp.CTE) -> str: - 632 alias = self.sql(expression, "alias") - 633 return f"{alias} AS {self.wrap(expression)}" - 634 - 635 def tablealias_sql(self, expression: exp.TableAlias) -> str: - 636 alias = self.sql(expression, "this") - 637 columns = self.expressions(expression, key="columns", flat=True) - 638 columns = f"({columns})" if columns else "" - 639 return f"{alias}{columns}" - 640 - 641 def bitstring_sql(self, expression: exp.BitString) -> str: - 642 return self.sql(expression, "this") - 643 - 644 def hexstring_sql(self, expression: exp.HexString) -> str: - 645 return self.sql(expression, "this") - 646 - 647 def datatype_sql(self, expression: exp.DataType) -> str: - 648 type_value = expression.this - 649 type_sql = self.TYPE_MAPPING.get(type_value, type_value.value) - 650 nested = "" - 651 interior = self.expressions(expression, flat=True) - 652 values = "" - 653 if interior: - 654 if expression.args.get("nested"): - 655 nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}" - 656 if expression.args.get("values") is not None: - 657 delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")") - 658 values = ( - 659 f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}" - 660 ) - 661 else: - 662 nested = f"({interior})" - 663 - 664 return f"{type_sql}{nested}{values}" - 665 - 666 def directory_sql(self, expression: exp.Directory) -> str: - 667 local = "LOCAL " if expression.args.get("local") else "" - 668 row_format = self.sql(expression, "row_format") - 669 row_format = f" {row_format}" if row_format else "" - 670 return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}" - 671 - 672 def delete_sql(self, expression: exp.Delete) -> str: - 673 this = self.sql(expression, "this") - 674 this = f" FROM {this}" if this else "" - 675 using_sql = ( - 676 f" USING {self.expressions(expression, 'using', sep=', USING ')}" - 677 if expression.args.get("using") - 678 else "" - 679 ) - 680 where_sql = self.sql(expression, "where") - 681 sql = f"DELETE{this}{using_sql}{where_sql}" - 682 return self.prepend_ctes(expression, sql) - 683 - 684 def drop_sql(self, expression: exp.Drop) -> str: - 685 this = self.sql(expression, "this") - 686 kind = expression.args["kind"] - 687 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " - 688 temporary = " TEMPORARY" if expression.args.get("temporary") else "" - 689 materialized = " MATERIALIZED" if expression.args.get("materialized") else "" - 690 cascade = " CASCADE" if expression.args.get("cascade") else "" - 691 return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}" - 692 - 693 def except_sql(self, expression: exp.Except) -> str: - 694 return self.prepend_ctes( - 695 expression, - 696 self.set_operation(expression, self.except_op(expression)), - 697 ) - 698 - 699 def except_op(self, expression: exp.Except) -> str: - 700 return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}" - 701 - 702 def fetch_sql(self, expression: exp.Fetch) -> str: - 703 direction = expression.args.get("direction") - 704 direction = f" {direction.upper()}" if direction else "" - 705 count = expression.args.get("count") - 706 count = f" {count}" if count else "" - 707 return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY" + 586 else: + 587 index_sql = postindex_props_sql + 588 + 589 replace = " OR REPLACE" if expression.args.get("replace") else "" + 590 unique = " UNIQUE" if expression.args.get("unique") else "" + 591 volatile = " VOLATILE" if expression.args.get("volatile") else "" + 592 + 593 postcreate_props_sql = "" + 594 if properties_locs.get(exp.Properties.Location.POST_CREATE): + 595 postcreate_props_sql = self.properties( + 596 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), + 597 sep=" ", + 598 prefix=" ", + 599 wrapped=False, + 600 ) + 601 + 602 modifiers = "".join((replace, unique, volatile, postcreate_props_sql)) + 603 + 604 postexpression_props_sql = "" + 605 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): + 606 postexpression_props_sql = self.properties( + 607 exp.Properties( + 608 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] + 609 ), + 610 sep=" ", + 611 prefix=" ", + 612 wrapped=False, + 613 ) + 614 + 615 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" + 616 no_schema_binding = ( + 617 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" + 618 ) + 619 + 620 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" + 621 return self.prepend_ctes(expression, expression_sql) + 622 + 623 def describe_sql(self, expression: exp.Describe) -> str: + 624 return f"DESCRIBE {self.sql(expression, 'this')}" + 625 + 626 def prepend_ctes(self, expression: exp.Expression, sql: str) -> str: + 627 with_ = self.sql(expression, "with") + 628 if with_: + 629 sql = f"{with_}{self.sep()}{sql}" + 630 return sql + 631 + 632 def with_sql(self, expression: exp.With) -> str: + 633 sql = self.expressions(expression, flat=True) + 634 recursive = "RECURSIVE " if expression.args.get("recursive") else "" + 635 + 636 return f"WITH {recursive}{sql}" + 637 + 638 def cte_sql(self, expression: exp.CTE) -> str: + 639 alias = self.sql(expression, "alias") + 640 return f"{alias} AS {self.wrap(expression)}" + 641 + 642 def tablealias_sql(self, expression: exp.TableAlias) -> str: + 643 alias = self.sql(expression, "this") + 644 columns = self.expressions(expression, key="columns", flat=True) + 645 columns = f"({columns})" if columns else "" + 646 return f"{alias}{columns}" + 647 + 648 def bitstring_sql(self, expression: exp.BitString) -> str: + 649 return self.sql(expression, "this") + 650 + 651 def hexstring_sql(self, expression: exp.HexString) -> str: + 652 return self.sql(expression, "this") + 653 + 654 def datatype_sql(self, expression: exp.DataType) -> str: + 655 type_value = expression.this + 656 type_sql = self.TYPE_MAPPING.get(type_value, type_value.value) + 657 nested = "" + 658 interior = self.expressions(expression, flat=True) + 659 values = "" + 660 if interior: + 661 if expression.args.get("nested"): + 662 nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}" + 663 if expression.args.get("values") is not None: + 664 delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")") + 665 values = ( + 666 f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}" + 667 ) + 668 else: + 669 nested = f"({interior})" + 670 + 671 return f"{type_sql}{nested}{values}" + 672 + 673 def directory_sql(self, expression: exp.Directory) -> str: + 674 local = "LOCAL " if expression.args.get("local") else "" + 675 row_format = self.sql(expression, "row_format") + 676 row_format = f" {row_format}" if row_format else "" + 677 return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}" + 678 + 679 def delete_sql(self, expression: exp.Delete) -> str: + 680 this = self.sql(expression, "this") + 681 this = f" FROM {this}" if this else "" + 682 using_sql = ( + 683 f" USING {self.expressions(expression, 'using', sep=', USING ')}" + 684 if expression.args.get("using") + 685 else "" + 686 ) + 687 where_sql = self.sql(expression, "where") + 688 sql = f"DELETE{this}{using_sql}{where_sql}" + 689 return self.prepend_ctes(expression, sql) + 690 + 691 def drop_sql(self, expression: exp.Drop) -> str: + 692 this = self.sql(expression, "this") + 693 kind = expression.args["kind"] + 694 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " + 695 temporary = " TEMPORARY" if expression.args.get("temporary") else "" + 696 materialized = " MATERIALIZED" if expression.args.get("materialized") else "" + 697 cascade = " CASCADE" if expression.args.get("cascade") else "" + 698 return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}" + 699 + 700 def except_sql(self, expression: exp.Except) -> str: + 701 return self.prepend_ctes( + 702 expression, + 703 self.set_operation(expression, self.except_op(expression)), + 704 ) + 705 + 706 def except_op(self, expression: exp.Except) -> str: + 707 return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}" 708 - 709 def filter_sql(self, expression: exp.Filter) -> str: - 710 this = self.sql(expression, "this") - 711 where = self.sql(expression, "expression")[1:] # where has a leading space - 712 return f"{this} FILTER({where})" - 713 - 714 def hint_sql(self, expression: exp.Hint) -> str: - 715 if self.sql(expression, "this"): - 716 self.unsupported("Hints are not supported") - 717 return "" - 718 - 719 def index_sql(self, expression: exp.Index) -> str: - 720 this = self.sql(expression, "this") - 721 table = self.sql(expression, "table") - 722 columns = self.sql(expression, "columns") - 723 return f"{this} ON {table} {columns}" - 724 - 725 def identifier_sql(self, expression: exp.Identifier) -> str: - 726 text = expression.name - 727 text = text.lower() if self.normalize else text - 728 text = text.replace(self.identifier_end, self._escaped_identifier_end) - 729 if expression.args.get("quoted") or self.identify: - 730 text = f"{self.identifier_start}{text}{self.identifier_end}" - 731 return text - 732 - 733 def national_sql(self, expression: exp.National) -> str: - 734 return f"N{self.sql(expression, 'this')}" - 735 - 736 def partition_sql(self, expression: exp.Partition) -> str: - 737 return f"PARTITION({self.expressions(expression)})" - 738 - 739 def properties_sql(self, expression: exp.Properties) -> str: - 740 root_properties = [] - 741 with_properties = [] + 709 def fetch_sql(self, expression: exp.Fetch) -> str: + 710 direction = expression.args.get("direction") + 711 direction = f" {direction.upper()}" if direction else "" + 712 count = expression.args.get("count") + 713 count = f" {count}" if count else "" + 714 return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY" + 715 + 716 def filter_sql(self, expression: exp.Filter) -> str: + 717 this = self.sql(expression, "this") + 718 where = self.sql(expression, "expression")[1:] # where has a leading space + 719 return f"{this} FILTER({where})" + 720 + 721 def hint_sql(self, expression: exp.Hint) -> str: + 722 if self.sql(expression, "this"): + 723 self.unsupported("Hints are not supported") + 724 return "" + 725 + 726 def index_sql(self, expression: exp.Index) -> str: + 727 this = self.sql(expression, "this") + 728 table = self.sql(expression, "table") + 729 columns = self.sql(expression, "columns") + 730 return f"{this} ON {table} {columns}" + 731 + 732 def identifier_sql(self, expression: exp.Identifier) -> str: + 733 text = expression.name + 734 text = text.lower() if self.normalize else text + 735 text = text.replace(self.identifier_end, self._escaped_identifier_end) + 736 if expression.args.get("quoted") or self.identify: + 737 text = f"{self.identifier_start}{text}{self.identifier_end}" + 738 return text + 739 + 740 def national_sql(self, expression: exp.National) -> str: + 741 return f"N{self.sql(expression, 'this')}" 742 - 743 for p in expression.expressions: - 744 p_loc = self.PROPERTIES_LOCATION[p.__class__] - 745 if p_loc == exp.Properties.Location.POST_WITH: - 746 with_properties.append(p) - 747 elif p_loc == exp.Properties.Location.POST_SCHEMA: - 748 root_properties.append(p) + 743 def partition_sql(self, expression: exp.Partition) -> str: + 744 return f"PARTITION({self.expressions(expression)})" + 745 + 746 def properties_sql(self, expression: exp.Properties) -> str: + 747 root_properties = [] + 748 with_properties = [] 749 - 750 return self.root_properties( - 751 exp.Properties(expressions=root_properties) - 752 ) + self.with_properties(exp.Properties(expressions=with_properties)) - 753 - 754 def root_properties(self, properties: exp.Properties) -> str: - 755 if properties.expressions: - 756 return self.sep() + self.expressions(properties, indent=False, sep=" ") - 757 return "" - 758 - 759 def properties( - 760 self, - 761 properties: exp.Properties, - 762 prefix: str = "", - 763 sep: str = ", ", - 764 suffix: str = "", - 765 wrapped: bool = True, - 766 ) -> str: - 767 if properties.expressions: - 768 expressions = self.expressions(properties, sep=sep, indent=False) - 769 expressions = self.wrap(expressions) if wrapped else expressions - 770 return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}" - 771 return "" - 772 - 773 def with_properties(self, properties: exp.Properties) -> str: - 774 return self.properties(properties, prefix=self.seg("WITH")) - 775 - 776 def locate_properties( - 777 self, properties: exp.Properties - 778 ) -> t.Dict[exp.Properties.Location, list[exp.Property]]: - 779 properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = { - 780 key: [] for key in exp.Properties.Location - 781 } + 750 for p in expression.expressions: + 751 p_loc = self.PROPERTIES_LOCATION[p.__class__] + 752 if p_loc == exp.Properties.Location.POST_WITH: + 753 with_properties.append(p) + 754 elif p_loc == exp.Properties.Location.POST_SCHEMA: + 755 root_properties.append(p) + 756 + 757 return self.root_properties( + 758 exp.Properties(expressions=root_properties) + 759 ) + self.with_properties(exp.Properties(expressions=with_properties)) + 760 + 761 def root_properties(self, properties: exp.Properties) -> str: + 762 if properties.expressions: + 763 return self.sep() + self.expressions(properties, indent=False, sep=" ") + 764 return "" + 765 + 766 def properties( + 767 self, + 768 properties: exp.Properties, + 769 prefix: str = "", + 770 sep: str = ", ", + 771 suffix: str = "", + 772 wrapped: bool = True, + 773 ) -> str: + 774 if properties.expressions: + 775 expressions = self.expressions(properties, sep=sep, indent=False) + 776 expressions = self.wrap(expressions) if wrapped else expressions + 777 return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}" + 778 return "" + 779 + 780 def with_properties(self, properties: exp.Properties) -> str: + 781 return self.properties(properties, prefix=self.seg("WITH")) 782 - 783 for p in properties.expressions: - 784 p_loc = self.PROPERTIES_LOCATION[p.__class__] - 785 if p_loc == exp.Properties.Location.POST_NAME: - 786 properties_locs[exp.Properties.Location.POST_NAME].append(p) - 787 elif p_loc == exp.Properties.Location.POST_INDEX: - 788 properties_locs[exp.Properties.Location.POST_INDEX].append(p) - 789 elif p_loc == exp.Properties.Location.POST_SCHEMA: - 790 properties_locs[exp.Properties.Location.POST_SCHEMA].append(p) - 791 elif p_loc == exp.Properties.Location.POST_WITH: - 792 properties_locs[exp.Properties.Location.POST_WITH].append(p) - 793 elif p_loc == exp.Properties.Location.POST_CREATE: - 794 properties_locs[exp.Properties.Location.POST_CREATE].append(p) - 795 elif p_loc == exp.Properties.Location.POST_ALIAS: - 796 properties_locs[exp.Properties.Location.POST_ALIAS].append(p) - 797 elif p_loc == exp.Properties.Location.POST_EXPRESSION: - 798 properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p) - 799 elif p_loc == exp.Properties.Location.UNSUPPORTED: - 800 self.unsupported(f"Unsupported property {p.key}") - 801 - 802 return properties_locs - 803 - 804 def property_sql(self, expression: exp.Property) -> str: - 805 property_cls = expression.__class__ - 806 if property_cls == exp.Property: - 807 return f"{expression.name}={self.sql(expression, 'value')}" + 783 def locate_properties( + 784 self, properties: exp.Properties + 785 ) -> t.Dict[exp.Properties.Location, list[exp.Property]]: + 786 properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = { + 787 key: [] for key in exp.Properties.Location + 788 } + 789 + 790 for p in properties.expressions: + 791 p_loc = self.PROPERTIES_LOCATION[p.__class__] + 792 if p_loc == exp.Properties.Location.POST_NAME: + 793 properties_locs[exp.Properties.Location.POST_NAME].append(p) + 794 elif p_loc == exp.Properties.Location.POST_INDEX: + 795 properties_locs[exp.Properties.Location.POST_INDEX].append(p) + 796 elif p_loc == exp.Properties.Location.POST_SCHEMA: + 797 properties_locs[exp.Properties.Location.POST_SCHEMA].append(p) + 798 elif p_loc == exp.Properties.Location.POST_WITH: + 799 properties_locs[exp.Properties.Location.POST_WITH].append(p) + 800 elif p_loc == exp.Properties.Location.POST_CREATE: + 801 properties_locs[exp.Properties.Location.POST_CREATE].append(p) + 802 elif p_loc == exp.Properties.Location.POST_ALIAS: + 803 properties_locs[exp.Properties.Location.POST_ALIAS].append(p) + 804 elif p_loc == exp.Properties.Location.POST_EXPRESSION: + 805 properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p) + 806 elif p_loc == exp.Properties.Location.UNSUPPORTED: + 807 self.unsupported(f"Unsupported property {p.key}") 808 - 809 property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls) - 810 if not property_name: - 811 self.unsupported(f"Unsupported property {expression.key}") - 812 - 813 return f"{property_name}={self.sql(expression, 'this')}" - 814 - 815 def likeproperty_sql(self, expression: exp.LikeProperty) -> str: - 816 options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions) - 817 options = f" {options}" if options else "" - 818 return f"LIKE {self.sql(expression, 'this')}{options}" + 809 return properties_locs + 810 + 811 def property_sql(self, expression: exp.Property) -> str: + 812 property_cls = expression.__class__ + 813 if property_cls == exp.Property: + 814 return f"{expression.name}={self.sql(expression, 'value')}" + 815 + 816 property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls) + 817 if not property_name: + 818 self.unsupported(f"Unsupported property {expression.key}") 819 - 820 def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str: - 821 no = "NO " if expression.args.get("no") else "" - 822 protection = " PROTECTION" if expression.args.get("protection") else "" - 823 return f"{no}FALLBACK{protection}" - 824 - 825 def journalproperty_sql(self, expression: exp.JournalProperty) -> str: - 826 no = "NO " if expression.args.get("no") else "" - 827 dual = "DUAL " if expression.args.get("dual") else "" - 828 before = "BEFORE " if expression.args.get("before") else "" - 829 return f"{no}{dual}{before}JOURNAL" - 830 - 831 def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str: - 832 freespace = self.sql(expression, "this") - 833 percent = " PERCENT" if expression.args.get("percent") else "" - 834 return f"FREESPACE={freespace}{percent}" - 835 - 836 def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str: - 837 no = "NO " if expression.args.get("no") else "" - 838 dual = "DUAL " if expression.args.get("dual") else "" - 839 local = "" - 840 if expression.args.get("local") is not None: - 841 local = "LOCAL " if expression.args.get("local") else "NOT LOCAL " - 842 return f"{no}{dual}{local}AFTER JOURNAL" - 843 - 844 def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str: - 845 if expression.args.get("default"): - 846 property = "DEFAULT" - 847 elif expression.args.get("on"): - 848 property = "ON" - 849 else: - 850 property = "OFF" - 851 return f"CHECKSUM={property}" - 852 - 853 def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str: - 854 if expression.args.get("no"): - 855 return "NO MERGEBLOCKRATIO" - 856 if expression.args.get("default"): - 857 return "DEFAULT MERGEBLOCKRATIO" - 858 - 859 percent = " PERCENT" if expression.args.get("percent") else "" - 860 return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}" - 861 - 862 def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str: - 863 default = expression.args.get("default") - 864 min = expression.args.get("min") - 865 if default is not None or min is not None: - 866 if default: - 867 property = "DEFAULT" - 868 elif min: - 869 property = "MINIMUM" - 870 else: - 871 property = "MAXIMUM" - 872 return f"{property} DATABLOCKSIZE" - 873 else: - 874 units = expression.args.get("units") - 875 units = f" {units}" if units else "" - 876 return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}" - 877 - 878 def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str: - 879 autotemp = expression.args.get("autotemp") - 880 always = expression.args.get("always") - 881 default = expression.args.get("default") - 882 manual = expression.args.get("manual") - 883 never = expression.args.get("never") + 820 return f"{property_name}={self.sql(expression, 'this')}" + 821 + 822 def likeproperty_sql(self, expression: exp.LikeProperty) -> str: + 823 options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions) + 824 options = f" {options}" if options else "" + 825 return f"LIKE {self.sql(expression, 'this')}{options}" + 826 + 827 def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str: + 828 no = "NO " if expression.args.get("no") else "" + 829 protection = " PROTECTION" if expression.args.get("protection") else "" + 830 return f"{no}FALLBACK{protection}" + 831 + 832 def journalproperty_sql(self, expression: exp.JournalProperty) -> str: + 833 no = "NO " if expression.args.get("no") else "" + 834 dual = "DUAL " if expression.args.get("dual") else "" + 835 before = "BEFORE " if expression.args.get("before") else "" + 836 return f"{no}{dual}{before}JOURNAL" + 837 + 838 def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str: + 839 freespace = self.sql(expression, "this") + 840 percent = " PERCENT" if expression.args.get("percent") else "" + 841 return f"FREESPACE={freespace}{percent}" + 842 + 843 def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str: + 844 no = "NO " if expression.args.get("no") else "" + 845 dual = "DUAL " if expression.args.get("dual") else "" + 846 local = "" + 847 if expression.args.get("local") is not None: + 848 local = "LOCAL " if expression.args.get("local") else "NOT LOCAL " + 849 return f"{no}{dual}{local}AFTER JOURNAL" + 850 + 851 def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str: + 852 if expression.args.get("default"): + 853 property = "DEFAULT" + 854 elif expression.args.get("on"): + 855 property = "ON" + 856 else: + 857 property = "OFF" + 858 return f"CHECKSUM={property}" + 859 + 860 def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str: + 861 if expression.args.get("no"): + 862 return "NO MERGEBLOCKRATIO" + 863 if expression.args.get("default"): + 864 return "DEFAULT MERGEBLOCKRATIO" + 865 + 866 percent = " PERCENT" if expression.args.get("percent") else "" + 867 return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}" + 868 + 869 def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str: + 870 default = expression.args.get("default") + 871 min = expression.args.get("min") + 872 if default is not None or min is not None: + 873 if default: + 874 property = "DEFAULT" + 875 elif min: + 876 property = "MINIMUM" + 877 else: + 878 property = "MAXIMUM" + 879 return f"{property} DATABLOCKSIZE" + 880 else: + 881 units = expression.args.get("units") + 882 units = f" {units}" if units else "" + 883 return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}" 884 - 885 if autotemp is not None: - 886 property = f"AUTOTEMP({self.expressions(autotemp)})" - 887 elif always: - 888 property = "ALWAYS" - 889 elif default: - 890 property = "DEFAULT" - 891 elif manual: - 892 property = "MANUAL" - 893 elif never: - 894 property = "NEVER" - 895 return f"BLOCKCOMPRESSION={property}" - 896 - 897 def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str: - 898 no = expression.args.get("no") - 899 no = " NO" if no else "" - 900 concurrent = expression.args.get("concurrent") - 901 concurrent = " CONCURRENT" if concurrent else "" - 902 - 903 for_ = "" - 904 if expression.args.get("for_all"): - 905 for_ = " FOR ALL" - 906 elif expression.args.get("for_insert"): - 907 for_ = " FOR INSERT" - 908 elif expression.args.get("for_none"): - 909 for_ = " FOR NONE" - 910 return f"WITH{no}{concurrent} ISOLATED LOADING{for_}" - 911 - 912 def lockingproperty_sql(self, expression: exp.LockingProperty) -> str: - 913 kind = expression.args.get("kind") - 914 this: str = f" {this}" if expression.this else "" - 915 for_or_in = expression.args.get("for_or_in") - 916 lock_type = expression.args.get("lock_type") - 917 override = " OVERRIDE" if expression.args.get("override") else "" - 918 return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}" - 919 - 920 def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str: - 921 data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA" - 922 statistics = expression.args.get("statistics") - 923 statistics_sql = "" - 924 if statistics is not None: - 925 statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS" - 926 return f"{data_sql}{statistics_sql}" - 927 - 928 def insert_sql(self, expression: exp.Insert) -> str: - 929 overwrite = expression.args.get("overwrite") - 930 - 931 if isinstance(expression.this, exp.Directory): - 932 this = "OVERWRITE " if overwrite else "INTO " - 933 else: - 934 this = "OVERWRITE TABLE " if overwrite else "INTO " - 935 - 936 alternative = expression.args.get("alternative") - 937 alternative = f" OR {alternative} " if alternative else " " - 938 this = f"{this}{self.sql(expression, 'this')}" - 939 - 940 exists = " IF EXISTS " if expression.args.get("exists") else " " - 941 partition_sql = ( - 942 self.sql(expression, "partition") if expression.args.get("partition") else "" - 943 ) - 944 expression_sql = self.sql(expression, "expression") - 945 sep = self.sep() if partition_sql else "" - 946 sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}" - 947 return self.prepend_ctes(expression, sql) - 948 - 949 def intersect_sql(self, expression: exp.Intersect) -> str: - 950 return self.prepend_ctes( - 951 expression, - 952 self.set_operation(expression, self.intersect_op(expression)), - 953 ) - 954 - 955 def intersect_op(self, expression: exp.Intersect) -> str: - 956 return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}" - 957 - 958 def introducer_sql(self, expression: exp.Introducer) -> str: - 959 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" - 960 - 961 def pseudotype_sql(self, expression: exp.PseudoType) -> str: - 962 return expression.name.upper() - 963 - 964 def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str: - 965 fields = expression.args.get("fields") - 966 fields = f" FIELDS TERMINATED BY {fields}" if fields else "" - 967 escaped = expression.args.get("escaped") - 968 escaped = f" ESCAPED BY {escaped}" if escaped else "" - 969 items = expression.args.get("collection_items") - 970 items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else "" - 971 keys = expression.args.get("map_keys") - 972 keys = f" MAP KEYS TERMINATED BY {keys}" if keys else "" - 973 lines = expression.args.get("lines") - 974 lines = f" LINES TERMINATED BY {lines}" if lines else "" - 975 null = expression.args.get("null") - 976 null = f" NULL DEFINED AS {null}" if null else "" - 977 return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}" - 978 - 979 def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str: - 980 table = ".".join( - 981 part - 982 for part in [ - 983 self.sql(expression, "catalog"), - 984 self.sql(expression, "db"), - 985 self.sql(expression, "this"), - 986 ] - 987 if part - 988 ) - 989 - 990 alias = self.sql(expression, "alias") - 991 alias = f"{sep}{alias}" if alias else "" - 992 hints = self.expressions(expression, key="hints", sep=", ", flat=True) - 993 hints = f" WITH ({hints})" if hints else "" - 994 laterals = self.expressions(expression, key="laterals", sep="") - 995 joins = self.expressions(expression, key="joins", sep="") - 996 pivots = self.expressions(expression, key="pivots", sep="") - 997 system_time = expression.args.get("system_time") - 998 system_time = f" {self.sql(expression, 'system_time')}" if system_time else "" - 999 -1000 return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}" -1001 -1002 def tablesample_sql(self, expression: exp.TableSample) -> str: -1003 if self.alias_post_tablesample and expression.this.alias: -1004 this = self.sql(expression.this, "this") -1005 alias = f" AS {self.sql(expression.this, 'alias')}" -1006 else: -1007 this = self.sql(expression, "this") -1008 alias = "" -1009 method = self.sql(expression, "method") -1010 method = f" {method.upper()} " if method else "" -1011 numerator = self.sql(expression, "bucket_numerator") -1012 denominator = self.sql(expression, "bucket_denominator") -1013 field = self.sql(expression, "bucket_field") -1014 field = f" ON {field}" if field else "" -1015 bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else "" -1016 percent = self.sql(expression, "percent") -1017 percent = f"{percent} PERCENT" if percent else "" -1018 rows = self.sql(expression, "rows") -1019 rows = f"{rows} ROWS" if rows else "" -1020 size = self.sql(expression, "size") -1021 seed = self.sql(expression, "seed") -1022 seed = f" SEED ({seed})" if seed else "" -1023 return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}" -1024 -1025 def pivot_sql(self, expression: exp.Pivot) -> str: -1026 this = self.sql(expression, "this") -1027 alias = self.sql(expression, "alias") -1028 alias = f" AS {alias}" if alias else "" -1029 unpivot = expression.args.get("unpivot") -1030 direction = "UNPIVOT" if unpivot else "PIVOT" -1031 expressions = self.expressions(expression, key="expressions") -1032 field = self.sql(expression, "field") -1033 return f"{this} {direction}({expressions} FOR {field}){alias}" -1034 -1035 def tuple_sql(self, expression: exp.Tuple) -> str: -1036 return f"({self.expressions(expression, flat=True)})" -1037 -1038 def update_sql(self, expression: exp.Update) -> str: -1039 this = self.sql(expression, "this") -1040 set_sql = self.expressions(expression, flat=True) -1041 from_sql = self.sql(expression, "from") -1042 where_sql = self.sql(expression, "where") -1043 sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}" -1044 return self.prepend_ctes(expression, sql) -1045 -1046 def values_sql(self, expression: exp.Values) -> str: -1047 args = self.expressions(expression) -1048 alias = self.sql(expression, "alias") -1049 values = f"VALUES{self.seg('')}{args}" -1050 values = ( -1051 f"({values})" -1052 if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From)) -1053 else values -1054 ) -1055 return f"{values} AS {alias}" if alias else values -1056 -1057 def var_sql(self, expression: exp.Var) -> str: -1058 return self.sql(expression, "this") -1059 -1060 def into_sql(self, expression: exp.Into) -> str: -1061 temporary = " TEMPORARY" if expression.args.get("temporary") else "" -1062 unlogged = " UNLOGGED" if expression.args.get("unlogged") else "" -1063 return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}" -1064 -1065 def from_sql(self, expression: exp.From) -> str: -1066 expressions = self.expressions(expression, flat=True) -1067 return f"{self.seg('FROM')} {expressions}" -1068 -1069 def group_sql(self, expression: exp.Group) -> str: -1070 group_by = self.op_expressions("GROUP BY", expression) -1071 grouping_sets = self.expressions(expression, key="grouping_sets", indent=False) -1072 grouping_sets = ( -1073 f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else "" -1074 ) + 885 def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str: + 886 autotemp = expression.args.get("autotemp") + 887 always = expression.args.get("always") + 888 default = expression.args.get("default") + 889 manual = expression.args.get("manual") + 890 never = expression.args.get("never") + 891 + 892 if autotemp is not None: + 893 property = f"AUTOTEMP({self.expressions(autotemp)})" + 894 elif always: + 895 property = "ALWAYS" + 896 elif default: + 897 property = "DEFAULT" + 898 elif manual: + 899 property = "MANUAL" + 900 elif never: + 901 property = "NEVER" + 902 return f"BLOCKCOMPRESSION={property}" + 903 + 904 def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str: + 905 no = expression.args.get("no") + 906 no = " NO" if no else "" + 907 concurrent = expression.args.get("concurrent") + 908 concurrent = " CONCURRENT" if concurrent else "" + 909 + 910 for_ = "" + 911 if expression.args.get("for_all"): + 912 for_ = " FOR ALL" + 913 elif expression.args.get("for_insert"): + 914 for_ = " FOR INSERT" + 915 elif expression.args.get("for_none"): + 916 for_ = " FOR NONE" + 917 return f"WITH{no}{concurrent} ISOLATED LOADING{for_}" + 918 + 919 def lockingproperty_sql(self, expression: exp.LockingProperty) -> str: + 920 kind = expression.args.get("kind") + 921 this: str = f" {this}" if expression.this else "" + 922 for_or_in = expression.args.get("for_or_in") + 923 lock_type = expression.args.get("lock_type") + 924 override = " OVERRIDE" if expression.args.get("override") else "" + 925 return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}" + 926 + 927 def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str: + 928 data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA" + 929 statistics = expression.args.get("statistics") + 930 statistics_sql = "" + 931 if statistics is not None: + 932 statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS" + 933 return f"{data_sql}{statistics_sql}" + 934 + 935 def insert_sql(self, expression: exp.Insert) -> str: + 936 overwrite = expression.args.get("overwrite") + 937 + 938 if isinstance(expression.this, exp.Directory): + 939 this = "OVERWRITE " if overwrite else "INTO " + 940 else: + 941 this = "OVERWRITE TABLE " if overwrite else "INTO " + 942 + 943 alternative = expression.args.get("alternative") + 944 alternative = f" OR {alternative} " if alternative else " " + 945 this = f"{this}{self.sql(expression, 'this')}" + 946 + 947 exists = " IF EXISTS " if expression.args.get("exists") else " " + 948 partition_sql = ( + 949 self.sql(expression, "partition") if expression.args.get("partition") else "" + 950 ) + 951 expression_sql = self.sql(expression, "expression") + 952 sep = self.sep() if partition_sql else "" + 953 sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}" + 954 return self.prepend_ctes(expression, sql) + 955 + 956 def intersect_sql(self, expression: exp.Intersect) -> str: + 957 return self.prepend_ctes( + 958 expression, + 959 self.set_operation(expression, self.intersect_op(expression)), + 960 ) + 961 + 962 def intersect_op(self, expression: exp.Intersect) -> str: + 963 return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}" + 964 + 965 def introducer_sql(self, expression: exp.Introducer) -> str: + 966 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" + 967 + 968 def pseudotype_sql(self, expression: exp.PseudoType) -> str: + 969 return expression.name.upper() + 970 + 971 def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str: + 972 fields = expression.args.get("fields") + 973 fields = f" FIELDS TERMINATED BY {fields}" if fields else "" + 974 escaped = expression.args.get("escaped") + 975 escaped = f" ESCAPED BY {escaped}" if escaped else "" + 976 items = expression.args.get("collection_items") + 977 items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else "" + 978 keys = expression.args.get("map_keys") + 979 keys = f" MAP KEYS TERMINATED BY {keys}" if keys else "" + 980 lines = expression.args.get("lines") + 981 lines = f" LINES TERMINATED BY {lines}" if lines else "" + 982 null = expression.args.get("null") + 983 null = f" NULL DEFINED AS {null}" if null else "" + 984 return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}" + 985 + 986 def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str: + 987 table = ".".join( + 988 part + 989 for part in [ + 990 self.sql(expression, "catalog"), + 991 self.sql(expression, "db"), + 992 self.sql(expression, "this"), + 993 ] + 994 if part + 995 ) + 996 + 997 alias = self.sql(expression, "alias") + 998 alias = f"{sep}{alias}" if alias else "" + 999 hints = self.expressions(expression, key="hints", sep=", ", flat=True) +1000 hints = f" WITH ({hints})" if hints else "" +1001 laterals = self.expressions(expression, key="laterals", sep="") +1002 joins = self.expressions(expression, key="joins", sep="") +1003 pivots = self.expressions(expression, key="pivots", sep="") +1004 system_time = expression.args.get("system_time") +1005 system_time = f" {self.sql(expression, 'system_time')}" if system_time else "" +1006 +1007 return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}" +1008 +1009 def tablesample_sql(self, expression: exp.TableSample) -> str: +1010 if self.alias_post_tablesample and expression.this.alias: +1011 this = self.sql(expression.this, "this") +1012 alias = f" AS {self.sql(expression.this, 'alias')}" +1013 else: +1014 this = self.sql(expression, "this") +1015 alias = "" +1016 method = self.sql(expression, "method") +1017 method = f" {method.upper()} " if method else "" +1018 numerator = self.sql(expression, "bucket_numerator") +1019 denominator = self.sql(expression, "bucket_denominator") +1020 field = self.sql(expression, "bucket_field") +1021 field = f" ON {field}" if field else "" +1022 bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else "" +1023 percent = self.sql(expression, "percent") +1024 percent = f"{percent} PERCENT" if percent else "" +1025 rows = self.sql(expression, "rows") +1026 rows = f"{rows} ROWS" if rows else "" +1027 size = self.sql(expression, "size") +1028 seed = self.sql(expression, "seed") +1029 seed = f" SEED ({seed})" if seed else "" +1030 return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}" +1031 +1032 def pivot_sql(self, expression: exp.Pivot) -> str: +1033 this = self.sql(expression, "this") +1034 alias = self.sql(expression, "alias") +1035 alias = f" AS {alias}" if alias else "" +1036 unpivot = expression.args.get("unpivot") +1037 direction = "UNPIVOT" if unpivot else "PIVOT" +1038 expressions = self.expressions(expression, key="expressions") +1039 field = self.sql(expression, "field") +1040 return f"{this} {direction}({expressions} FOR {field}){alias}" +1041 +1042 def tuple_sql(self, expression: exp.Tuple) -> str: +1043 return f"({self.expressions(expression, flat=True)})" +1044 +1045 def update_sql(self, expression: exp.Update) -> str: +1046 this = self.sql(expression, "this") +1047 set_sql = self.expressions(expression, flat=True) +1048 from_sql = self.sql(expression, "from") +1049 where_sql = self.sql(expression, "where") +1050 sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}" +1051 return self.prepend_ctes(expression, sql) +1052 +1053 def values_sql(self, expression: exp.Values) -> str: +1054 args = self.expressions(expression) +1055 alias = self.sql(expression, "alias") +1056 values = f"VALUES{self.seg('')}{args}" +1057 values = ( +1058 f"({values})" +1059 if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From)) +1060 else values +1061 ) +1062 return f"{values} AS {alias}" if alias else values +1063 +1064 def var_sql(self, expression: exp.Var) -> str: +1065 return self.sql(expression, "this") +1066 +1067 def into_sql(self, expression: exp.Into) -> str: +1068 temporary = " TEMPORARY" if expression.args.get("temporary") else "" +1069 unlogged = " UNLOGGED" if expression.args.get("unlogged") else "" +1070 return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}" +1071 +1072 def from_sql(self, expression: exp.From) -> str: +1073 expressions = self.expressions(expression, flat=True) +1074 return f"{self.seg('FROM')} {expressions}" 1075 -1076 cube = expression.args.get("cube", []) -1077 if seq_get(cube, 0) is True: -1078 return f"{group_by}{self.seg('WITH CUBE')}" -1079 else: -1080 cube_sql = self.expressions(expression, key="cube", indent=False) -1081 cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else "" +1076 def group_sql(self, expression: exp.Group) -> str: +1077 group_by = self.op_expressions("GROUP BY", expression) +1078 grouping_sets = self.expressions(expression, key="grouping_sets", indent=False) +1079 grouping_sets = ( +1080 f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else "" +1081 ) 1082 -1083 rollup = expression.args.get("rollup", []) -1084 if seq_get(rollup, 0) is True: -1085 return f"{group_by}{self.seg('WITH ROLLUP')}" +1083 cube = expression.args.get("cube", []) +1084 if seq_get(cube, 0) is True: +1085 return f"{group_by}{self.seg('WITH CUBE')}" 1086 else: -1087 rollup_sql = self.expressions(expression, key="rollup", indent=False) -1088 rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else "" +1087 cube_sql = self.expressions(expression, key="cube", indent=False) +1088 cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else "" 1089 -1090 groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",") -1091 -1092 if expression.args.get("expressions") and groupings: -1093 group_by = f"{group_by}," -1094 -1095 return f"{group_by}{groupings}" +1090 rollup = expression.args.get("rollup", []) +1091 if seq_get(rollup, 0) is True: +1092 return f"{group_by}{self.seg('WITH ROLLUP')}" +1093 else: +1094 rollup_sql = self.expressions(expression, key="rollup", indent=False) +1095 rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else "" 1096 -1097 def having_sql(self, expression: exp.Having) -> str: -1098 this = self.indent(self.sql(expression, "this")) -1099 return f"{self.seg('HAVING')}{self.sep()}{this}" -1100 -1101 def join_sql(self, expression: exp.Join) -> str: -1102 op_sql = self.seg( -1103 " ".join( -1104 op -1105 for op in ( -1106 "NATURAL" if expression.args.get("natural") else None, -1107 expression.side, -1108 expression.kind, -1109 "JOIN", -1110 ) -1111 if op -1112 ) -1113 ) -1114 on_sql = self.sql(expression, "on") -1115 using = expression.args.get("using") -1116 -1117 if not on_sql and using: -1118 on_sql = csv(*(self.sql(column) for column in using)) -1119 -1120 if on_sql: -1121 on_sql = self.indent(on_sql, skip_first=True) -1122 space = self.seg(" " * self.pad) if self.pretty else " " -1123 if using: -1124 on_sql = f"{space}USING ({on_sql})" -1125 else: -1126 on_sql = f"{space}ON {on_sql}" -1127 -1128 expression_sql = self.sql(expression, "expression") -1129 this_sql = self.sql(expression, "this") -1130 return f"{expression_sql}{op_sql} {this_sql}{on_sql}" -1131 -1132 def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str: -1133 args = self.expressions(expression, flat=True) -1134 args = f"({args})" if len(args.split(",")) > 1 else args -1135 return f"{args} {arrow_sep} {self.sql(expression, 'this')}" -1136 -1137 def lateral_sql(self, expression: exp.Lateral) -> str: -1138 this = self.sql(expression, "this") -1139 -1140 if isinstance(expression.this, exp.Subquery): -1141 return f"LATERAL {this}" -1142 -1143 if expression.args.get("view"): -1144 alias = expression.args["alias"] -1145 columns = self.expressions(alias, key="columns", flat=True) -1146 table = f" {alias.name}" if alias.name else "" -1147 columns = f" AS {columns}" if columns else "" -1148 op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}") -1149 return f"{op_sql}{self.sep()}{this}{table}{columns}" -1150 -1151 alias = self.sql(expression, "alias") -1152 alias = f" AS {alias}" if alias else "" -1153 return f"LATERAL {this}{alias}" -1154 -1155 def limit_sql(self, expression: exp.Limit) -> str: -1156 this = self.sql(expression, "this") -1157 return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}" -1158 -1159 def offset_sql(self, expression: exp.Offset) -> str: -1160 this = self.sql(expression, "this") -1161 return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}" -1162 -1163 def lock_sql(self, expression: exp.Lock) -> str: -1164 if self.LOCKING_READS_SUPPORTED: -1165 lock_type = "UPDATE" if expression.args["update"] else "SHARE" -1166 return self.seg(f"FOR {lock_type}") -1167 -1168 self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported") -1169 return "" -1170 -1171 def literal_sql(self, expression: exp.Literal) -> str: -1172 text = expression.this or "" -1173 if expression.is_string: -1174 text = text.replace(self.quote_end, self._escaped_quote_end) -1175 if self.pretty: -1176 text = text.replace("\n", self.SENTINEL_LINE_BREAK) -1177 text = f"{self.quote_start}{text}{self.quote_end}" -1178 return text -1179 -1180 def loaddata_sql(self, expression: exp.LoadData) -> str: -1181 local = " LOCAL" if expression.args.get("local") else "" -1182 inpath = f" INPATH {self.sql(expression, 'inpath')}" -1183 overwrite = " OVERWRITE" if expression.args.get("overwrite") else "" -1184 this = f" INTO TABLE {self.sql(expression, 'this')}" -1185 partition = self.sql(expression, "partition") -1186 partition = f" {partition}" if partition else "" -1187 input_format = self.sql(expression, "input_format") -1188 input_format = f" INPUTFORMAT {input_format}" if input_format else "" -1189 serde = self.sql(expression, "serde") -1190 serde = f" SERDE {serde}" if serde else "" -1191 return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}" -1192 -1193 def null_sql(self, *_) -> str: -1194 return "NULL" -1195 -1196 def boolean_sql(self, expression: exp.Boolean) -> str: -1197 return "TRUE" if expression.this else "FALSE" -1198 -1199 def order_sql(self, expression: exp.Order, flat: bool = False) -> str: -1200 this = self.sql(expression, "this") -1201 this = f"{this} " if this else this -1202 return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat) # type: ignore -1203 -1204 def cluster_sql(self, expression: exp.Cluster) -> str: -1205 return self.op_expressions("CLUSTER BY", expression) -1206 -1207 def distribute_sql(self, expression: exp.Distribute) -> str: -1208 return self.op_expressions("DISTRIBUTE BY", expression) -1209 -1210 def sort_sql(self, expression: exp.Sort) -> str: -1211 return self.op_expressions("SORT BY", expression) -1212 -1213 def ordered_sql(self, expression: exp.Ordered) -> str: -1214 desc = expression.args.get("desc") -1215 asc = not desc +1097 groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",") +1098 +1099 if expression.args.get("expressions") and groupings: +1100 group_by = f"{group_by}," +1101 +1102 return f"{group_by}{groupings}" +1103 +1104 def having_sql(self, expression: exp.Having) -> str: +1105 this = self.indent(self.sql(expression, "this")) +1106 return f"{self.seg('HAVING')}{self.sep()}{this}" +1107 +1108 def join_sql(self, expression: exp.Join) -> str: +1109 op_sql = self.seg( +1110 " ".join( +1111 op +1112 for op in ( +1113 "NATURAL" if expression.args.get("natural") else None, +1114 expression.side, +1115 expression.kind, +1116 "JOIN", +1117 ) +1118 if op +1119 ) +1120 ) +1121 on_sql = self.sql(expression, "on") +1122 using = expression.args.get("using") +1123 +1124 if not on_sql and using: +1125 on_sql = csv(*(self.sql(column) for column in using)) +1126 +1127 if on_sql: +1128 on_sql = self.indent(on_sql, skip_first=True) +1129 space = self.seg(" " * self.pad) if self.pretty else " " +1130 if using: +1131 on_sql = f"{space}USING ({on_sql})" +1132 else: +1133 on_sql = f"{space}ON {on_sql}" +1134 +1135 expression_sql = self.sql(expression, "expression") +1136 this_sql = self.sql(expression, "this") +1137 return f"{expression_sql}{op_sql} {this_sql}{on_sql}" +1138 +1139 def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str: +1140 args = self.expressions(expression, flat=True) +1141 args = f"({args})" if len(args.split(",")) > 1 else args +1142 return f"{args} {arrow_sep} {self.sql(expression, 'this')}" +1143 +1144 def lateral_sql(self, expression: exp.Lateral) -> str: +1145 this = self.sql(expression, "this") +1146 +1147 if isinstance(expression.this, exp.Subquery): +1148 return f"LATERAL {this}" +1149 +1150 if expression.args.get("view"): +1151 alias = expression.args["alias"] +1152 columns = self.expressions(alias, key="columns", flat=True) +1153 table = f" {alias.name}" if alias.name else "" +1154 columns = f" AS {columns}" if columns else "" +1155 op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}") +1156 return f"{op_sql}{self.sep()}{this}{table}{columns}" +1157 +1158 alias = self.sql(expression, "alias") +1159 alias = f" AS {alias}" if alias else "" +1160 return f"LATERAL {this}{alias}" +1161 +1162 def limit_sql(self, expression: exp.Limit) -> str: +1163 this = self.sql(expression, "this") +1164 return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}" +1165 +1166 def offset_sql(self, expression: exp.Offset) -> str: +1167 this = self.sql(expression, "this") +1168 return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}" +1169 +1170 def lock_sql(self, expression: exp.Lock) -> str: +1171 if self.LOCKING_READS_SUPPORTED: +1172 lock_type = "UPDATE" if expression.args["update"] else "SHARE" +1173 return self.seg(f"FOR {lock_type}") +1174 +1175 self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported") +1176 return "" +1177 +1178 def literal_sql(self, expression: exp.Literal) -> str: +1179 text = expression.this or "" +1180 if expression.is_string: +1181 text = text.replace(self.quote_end, self._escaped_quote_end) +1182 if self.pretty: +1183 text = text.replace("\n", self.SENTINEL_LINE_BREAK) +1184 text = f"{self.quote_start}{text}{self.quote_end}" +1185 return text +1186 +1187 def loaddata_sql(self, expression: exp.LoadData) -> str: +1188 local = " LOCAL" if expression.args.get("local") else "" +1189 inpath = f" INPATH {self.sql(expression, 'inpath')}" +1190 overwrite = " OVERWRITE" if expression.args.get("overwrite") else "" +1191 this = f" INTO TABLE {self.sql(expression, 'this')}" +1192 partition = self.sql(expression, "partition") +1193 partition = f" {partition}" if partition else "" +1194 input_format = self.sql(expression, "input_format") +1195 input_format = f" INPUTFORMAT {input_format}" if input_format else "" +1196 serde = self.sql(expression, "serde") +1197 serde = f" SERDE {serde}" if serde else "" +1198 return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}" +1199 +1200 def null_sql(self, *_) -> str: +1201 return "NULL" +1202 +1203 def boolean_sql(self, expression: exp.Boolean) -> str: +1204 return "TRUE" if expression.this else "FALSE" +1205 +1206 def order_sql(self, expression: exp.Order, flat: bool = False) -> str: +1207 this = self.sql(expression, "this") +1208 this = f"{this} " if this else this +1209 return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat) # type: ignore +1210 +1211 def cluster_sql(self, expression: exp.Cluster) -> str: +1212 return self.op_expressions("CLUSTER BY", expression) +1213 +1214 def distribute_sql(self, expression: exp.Distribute) -> str: +1215 return self.op_expressions("DISTRIBUTE BY", expression) 1216 -1217 nulls_first = expression.args.get("nulls_first") -1218 nulls_last = not nulls_first -1219 nulls_are_large = self.null_ordering == "nulls_are_large" -1220 nulls_are_small = self.null_ordering == "nulls_are_small" -1221 nulls_are_last = self.null_ordering == "nulls_are_last" -1222 -1223 sort_order = " DESC" if desc else "" -1224 nulls_sort_change = "" -1225 if nulls_first and ( -1226 (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last -1227 ): -1228 nulls_sort_change = " NULLS FIRST" -1229 elif ( -1230 nulls_last -1231 and ((asc and nulls_are_small) or (desc and nulls_are_large)) -1232 and not nulls_are_last -1233 ): -1234 nulls_sort_change = " NULLS LAST" -1235 -1236 if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED: -1237 self.unsupported( -1238 "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect" -1239 ) -1240 nulls_sort_change = "" -1241 -1242 return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}" -1243 -1244 def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str: -1245 partition = self.partition_by_sql(expression) -1246 order = self.sql(expression, "order") -1247 measures = self.sql(expression, "measures") -1248 measures = self.seg(f"MEASURES {measures}") if measures else "" -1249 rows = self.sql(expression, "rows") -1250 rows = self.seg(rows) if rows else "" -1251 after = self.sql(expression, "after") -1252 after = self.seg(after) if after else "" -1253 pattern = self.sql(expression, "pattern") -1254 pattern = self.seg(f"PATTERN ({pattern})") if pattern else "" -1255 define = self.sql(expression, "define") -1256 define = self.seg(f"DEFINE {define}") if define else "" -1257 body = "".join( -1258 ( -1259 partition, -1260 order, -1261 measures, -1262 rows, -1263 after, -1264 pattern, -1265 define, -1266 ) -1267 ) -1268 return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}" -1269 -1270 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: -1271 return csv( -1272 *sqls, -1273 *[self.sql(sql) for sql in expression.args.get("joins") or []], -1274 self.sql(expression, "match"), -1275 *[self.sql(sql) for sql in expression.args.get("laterals") or []], -1276 self.sql(expression, "where"), -1277 self.sql(expression, "group"), -1278 self.sql(expression, "having"), -1279 self.sql(expression, "qualify"), -1280 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) -1281 if expression.args.get("windows") -1282 else "", -1283 self.sql(expression, "distribute"), -1284 self.sql(expression, "sort"), -1285 self.sql(expression, "cluster"), -1286 self.sql(expression, "order"), -1287 self.sql(expression, "limit"), -1288 self.sql(expression, "offset"), -1289 self.sql(expression, "lock"), -1290 sep="", -1291 ) -1292 -1293 def select_sql(self, expression: exp.Select) -> str: -1294 hint = self.sql(expression, "hint") -1295 distinct = self.sql(expression, "distinct") -1296 distinct = f" {distinct}" if distinct else "" -1297 expressions = self.expressions(expression) -1298 expressions = f"{self.sep()}{expressions}" if expressions else expressions -1299 sql = self.query_modifiers( -1300 expression, -1301 f"SELECT{hint}{distinct}{expressions}", -1302 self.sql(expression, "into", comment=False), -1303 self.sql(expression, "from", comment=False), -1304 ) -1305 return self.prepend_ctes(expression, sql) -1306 -1307 def schema_sql(self, expression: exp.Schema) -> str: -1308 this = self.sql(expression, "this") -1309 this = f"{this} " if this else "" -1310 sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}" -1311 return f"{this}{sql}" -1312 -1313 def star_sql(self, expression: exp.Star) -> str: -1314 except_ = self.expressions(expression, key="except", flat=True) -1315 except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else "" -1316 replace = self.expressions(expression, key="replace", flat=True) -1317 replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else "" -1318 return f"*{except_}{replace}" +1217 def sort_sql(self, expression: exp.Sort) -> str: +1218 return self.op_expressions("SORT BY", expression) +1219 +1220 def ordered_sql(self, expression: exp.Ordered) -> str: +1221 desc = expression.args.get("desc") +1222 asc = not desc +1223 +1224 nulls_first = expression.args.get("nulls_first") +1225 nulls_last = not nulls_first +1226 nulls_are_large = self.null_ordering == "nulls_are_large" +1227 nulls_are_small = self.null_ordering == "nulls_are_small" +1228 nulls_are_last = self.null_ordering == "nulls_are_last" +1229 +1230 sort_order = " DESC" if desc else "" +1231 nulls_sort_change = "" +1232 if nulls_first and ( +1233 (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last +1234 ): +1235 nulls_sort_change = " NULLS FIRST" +1236 elif ( +1237 nulls_last +1238 and ((asc and nulls_are_small) or (desc and nulls_are_large)) +1239 and not nulls_are_last +1240 ): +1241 nulls_sort_change = " NULLS LAST" +1242 +1243 if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED: +1244 self.unsupported( +1245 "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect" +1246 ) +1247 nulls_sort_change = "" +1248 +1249 return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}" +1250 +1251 def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str: +1252 partition = self.partition_by_sql(expression) +1253 order = self.sql(expression, "order") +1254 measures = self.sql(expression, "measures") +1255 measures = self.seg(f"MEASURES {measures}") if measures else "" +1256 rows = self.sql(expression, "rows") +1257 rows = self.seg(rows) if rows else "" +1258 after = self.sql(expression, "after") +1259 after = self.seg(after) if after else "" +1260 pattern = self.sql(expression, "pattern") +1261 pattern = self.seg(f"PATTERN ({pattern})") if pattern else "" +1262 define = self.sql(expression, "define") +1263 define = self.seg(f"DEFINE {define}") if define else "" +1264 body = "".join( +1265 ( +1266 partition, +1267 order, +1268 measures, +1269 rows, +1270 after, +1271 pattern, +1272 define, +1273 ) +1274 ) +1275 return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}" +1276 +1277 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: +1278 return csv( +1279 *sqls, +1280 *[self.sql(sql) for sql in expression.args.get("joins") or []], +1281 self.sql(expression, "match"), +1282 *[self.sql(sql) for sql in expression.args.get("laterals") or []], +1283 self.sql(expression, "where"), +1284 self.sql(expression, "group"), +1285 self.sql(expression, "having"), +1286 self.sql(expression, "qualify"), +1287 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) +1288 if expression.args.get("windows") +1289 else "", +1290 self.sql(expression, "distribute"), +1291 self.sql(expression, "sort"), +1292 self.sql(expression, "cluster"), +1293 self.sql(expression, "order"), +1294 self.sql(expression, "limit"), +1295 self.sql(expression, "offset"), +1296 self.sql(expression, "lock"), +1297 sep="", +1298 ) +1299 +1300 def select_sql(self, expression: exp.Select) -> str: +1301 hint = self.sql(expression, "hint") +1302 distinct = self.sql(expression, "distinct") +1303 distinct = f" {distinct}" if distinct else "" +1304 expressions = self.expressions(expression) +1305 expressions = f"{self.sep()}{expressions}" if expressions else expressions +1306 sql = self.query_modifiers( +1307 expression, +1308 f"SELECT{hint}{distinct}{expressions}", +1309 self.sql(expression, "into", comment=False), +1310 self.sql(expression, "from", comment=False), +1311 ) +1312 return self.prepend_ctes(expression, sql) +1313 +1314 def schema_sql(self, expression: exp.Schema) -> str: +1315 this = self.sql(expression, "this") +1316 this = f"{this} " if this else "" +1317 sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}" +1318 return f"{this}{sql}" 1319 -1320 def structkwarg_sql(self, expression: exp.StructKwarg) -> str: -1321 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" -1322 -1323 def parameter_sql(self, expression: exp.Parameter) -> str: -1324 this = self.sql(expression, "this") -1325 this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}" -1326 return f"{self.PARAMETER_TOKEN}{this}" -1327 -1328 def sessionparameter_sql(self, expression: exp.SessionParameter) -> str: -1329 this = self.sql(expression, "this") -1330 kind = expression.text("kind") -1331 if kind: -1332 kind = f"{kind}." -1333 return f"@@{kind}{this}" +1320 def star_sql(self, expression: exp.Star) -> str: +1321 except_ = self.expressions(expression, key="except", flat=True) +1322 except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else "" +1323 replace = self.expressions(expression, key="replace", flat=True) +1324 replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else "" +1325 return f"*{except_}{replace}" +1326 +1327 def structkwarg_sql(self, expression: exp.StructKwarg) -> str: +1328 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" +1329 +1330 def parameter_sql(self, expression: exp.Parameter) -> str: +1331 this = self.sql(expression, "this") +1332 this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}" +1333 return f"{self.PARAMETER_TOKEN}{this}" 1334 -1335 def placeholder_sql(self, expression: exp.Placeholder) -> str: -1336 return f":{expression.name}" if expression.name else "?" -1337 -1338 def subquery_sql(self, expression: exp.Subquery) -> str: -1339 alias = self.sql(expression, "alias") -1340 -1341 sql = self.query_modifiers( -1342 expression, -1343 self.wrap(expression), -1344 self.expressions(expression, key="pivots", sep=" "), -1345 f" AS {alias}" if alias else "", -1346 ) -1347 -1348 return self.prepend_ctes(expression, sql) -1349 -1350 def qualify_sql(self, expression: exp.Qualify) -> str: -1351 this = self.indent(self.sql(expression, "this")) -1352 return f"{self.seg('QUALIFY')}{self.sep()}{this}" -1353 -1354 def union_sql(self, expression: exp.Union) -> str: -1355 return self.prepend_ctes( -1356 expression, -1357 self.set_operation(expression, self.union_op(expression)), -1358 ) -1359 -1360 def union_op(self, expression: exp.Union) -> str: -1361 kind = " DISTINCT" if self.EXPLICIT_UNION else "" -1362 kind = kind if expression.args.get("distinct") else " ALL" -1363 return f"UNION{kind}" -1364 -1365 def unnest_sql(self, expression: exp.Unnest) -> str: -1366 args = self.expressions(expression, flat=True) -1367 alias = expression.args.get("alias") -1368 if alias and self.unnest_column_only: -1369 columns = alias.columns -1370 alias = self.sql(columns[0]) if columns else "" -1371 else: -1372 alias = self.sql(expression, "alias") -1373 alias = f" AS {alias}" if alias else alias -1374 ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else "" -1375 offset = expression.args.get("offset") -1376 offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else "" -1377 return f"UNNEST({args}){ordinality}{alias}{offset}" -1378 -1379 def where_sql(self, expression: exp.Where) -> str: -1380 this = self.indent(self.sql(expression, "this")) -1381 return f"{self.seg('WHERE')}{self.sep()}{this}" -1382 -1383 def window_sql(self, expression: exp.Window) -> str: -1384 this = self.sql(expression, "this") -1385 -1386 partition = self.partition_by_sql(expression) -1387 -1388 order = expression.args.get("order") -1389 order_sql = self.order_sql(order, flat=True) if order else "" +1335 def sessionparameter_sql(self, expression: exp.SessionParameter) -> str: +1336 this = self.sql(expression, "this") +1337 kind = expression.text("kind") +1338 if kind: +1339 kind = f"{kind}." +1340 return f"@@{kind}{this}" +1341 +1342 def placeholder_sql(self, expression: exp.Placeholder) -> str: +1343 return f":{expression.name}" if expression.name else "?" +1344 +1345 def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str: +1346 alias = self.sql(expression, "alias") +1347 alias = f"{sep}{alias}" if alias else "" +1348 +1349 sql = self.query_modifiers( +1350 expression, +1351 self.wrap(expression), +1352 self.expressions(expression, key="pivots", sep=" "), +1353 alias, +1354 ) +1355 +1356 return self.prepend_ctes(expression, sql) +1357 +1358 def qualify_sql(self, expression: exp.Qualify) -> str: +1359 this = self.indent(self.sql(expression, "this")) +1360 return f"{self.seg('QUALIFY')}{self.sep()}{this}" +1361 +1362 def union_sql(self, expression: exp.Union) -> str: +1363 return self.prepend_ctes( +1364 expression, +1365 self.set_operation(expression, self.union_op(expression)), +1366 ) +1367 +1368 def union_op(self, expression: exp.Union) -> str: +1369 kind = " DISTINCT" if self.EXPLICIT_UNION else "" +1370 kind = kind if expression.args.get("distinct") else " ALL" +1371 return f"UNION{kind}" +1372 +1373 def unnest_sql(self, expression: exp.Unnest) -> str: +1374 args = self.expressions(expression, flat=True) +1375 alias = expression.args.get("alias") +1376 if alias and self.unnest_column_only: +1377 columns = alias.columns +1378 alias = self.sql(columns[0]) if columns else "" +1379 else: +1380 alias = self.sql(expression, "alias") +1381 alias = f" AS {alias}" if alias else alias +1382 ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else "" +1383 offset = expression.args.get("offset") +1384 offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else "" +1385 return f"UNNEST({args}){ordinality}{alias}{offset}" +1386 +1387 def where_sql(self, expression: exp.Where) -> str: +1388 this = self.indent(self.sql(expression, "this")) +1389 return f"{self.seg('WHERE')}{self.sep()}{this}" 1390 -1391 partition_sql = partition + " " if partition and order else partition -1392 -1393 spec = expression.args.get("spec") -1394 spec_sql = " " + self.window_spec_sql(spec) if spec else "" +1391 def window_sql(self, expression: exp.Window) -> str: +1392 this = self.sql(expression, "this") +1393 +1394 partition = self.partition_by_sql(expression) 1395 -1396 alias = self.sql(expression, "alias") -1397 this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}" +1396 order = expression.args.get("order") +1397 order_sql = self.order_sql(order, flat=True) if order else "" 1398 -1399 if not partition and not order and not spec and alias: -1400 return f"{this} {alias}" -1401 -1402 window_args = alias + partition_sql + order_sql + spec_sql +1399 partition_sql = partition + " " if partition and order else partition +1400 +1401 spec = expression.args.get("spec") +1402 spec_sql = " " + self.window_spec_sql(spec) if spec else "" 1403 -1404 return f"{this} ({window_args.strip()})" -1405 -1406 def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str: -1407 partition = self.expressions(expression, key="partition_by", flat=True) -1408 return f"PARTITION BY {partition}" if partition else "" +1404 alias = self.sql(expression, "alias") +1405 this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}" +1406 +1407 if not partition and not order and not spec and alias: +1408 return f"{this} {alias}" 1409 -1410 def window_spec_sql(self, expression: exp.WindowSpec) -> str: -1411 kind = self.sql(expression, "kind") -1412 start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ") -1413 end = ( -1414 csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ") -1415 or "CURRENT ROW" -1416 ) -1417 return f"{kind} BETWEEN {start} AND {end}" -1418 -1419 def withingroup_sql(self, expression: exp.WithinGroup) -> str: -1420 this = self.sql(expression, "this") -1421 expression_sql = self.sql(expression, "expression")[1:] # order has a leading space -1422 return f"{this} WITHIN GROUP ({expression_sql})" -1423 -1424 def between_sql(self, expression: exp.Between) -> str: -1425 this = self.sql(expression, "this") -1426 low = self.sql(expression, "low") -1427 high = self.sql(expression, "high") -1428 return f"{this} BETWEEN {low} AND {high}" -1429 -1430 def bracket_sql(self, expression: exp.Bracket) -> str: -1431 expressions = apply_index_offset(expression.expressions, self.index_offset) -1432 expressions_sql = ", ".join(self.sql(e) for e in expressions) -1433 -1434 return f"{self.sql(expression, 'this')}[{expressions_sql}]" -1435 -1436 def all_sql(self, expression: exp.All) -> str: -1437 return f"ALL {self.wrap(expression)}" -1438 -1439 def any_sql(self, expression: exp.Any) -> str: -1440 this = self.sql(expression, "this") -1441 if isinstance(expression.this, exp.Subqueryable): -1442 this = self.wrap(this) -1443 return f"ANY {this}" -1444 -1445 def exists_sql(self, expression: exp.Exists) -> str: -1446 return f"EXISTS{self.wrap(expression)}" -1447 -1448 def case_sql(self, expression: exp.Case) -> str: -1449 this = self.sql(expression, "this") -1450 statements = [f"CASE {this}" if this else "CASE"] -1451 -1452 for e in expression.args["ifs"]: -1453 statements.append(f"WHEN {self.sql(e, 'this')}") -1454 statements.append(f"THEN {self.sql(e, 'true')}") +1410 window_args = alias + partition_sql + order_sql + spec_sql +1411 +1412 return f"{this} ({window_args.strip()})" +1413 +1414 def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str: +1415 partition = self.expressions(expression, key="partition_by", flat=True) +1416 return f"PARTITION BY {partition}" if partition else "" +1417 +1418 def window_spec_sql(self, expression: exp.WindowSpec) -> str: +1419 kind = self.sql(expression, "kind") +1420 start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ") +1421 end = ( +1422 csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ") +1423 or "CURRENT ROW" +1424 ) +1425 return f"{kind} BETWEEN {start} AND {end}" +1426 +1427 def withingroup_sql(self, expression: exp.WithinGroup) -> str: +1428 this = self.sql(expression, "this") +1429 expression_sql = self.sql(expression, "expression")[1:] # order has a leading space +1430 return f"{this} WITHIN GROUP ({expression_sql})" +1431 +1432 def between_sql(self, expression: exp.Between) -> str: +1433 this = self.sql(expression, "this") +1434 low = self.sql(expression, "low") +1435 high = self.sql(expression, "high") +1436 return f"{this} BETWEEN {low} AND {high}" +1437 +1438 def bracket_sql(self, expression: exp.Bracket) -> str: +1439 expressions = apply_index_offset(expression.expressions, self.index_offset) +1440 expressions_sql = ", ".join(self.sql(e) for e in expressions) +1441 +1442 return f"{self.sql(expression, 'this')}[{expressions_sql}]" +1443 +1444 def all_sql(self, expression: exp.All) -> str: +1445 return f"ALL {self.wrap(expression)}" +1446 +1447 def any_sql(self, expression: exp.Any) -> str: +1448 this = self.sql(expression, "this") +1449 if isinstance(expression.this, exp.Subqueryable): +1450 this = self.wrap(this) +1451 return f"ANY {this}" +1452 +1453 def exists_sql(self, expression: exp.Exists) -> str: +1454 return f"EXISTS{self.wrap(expression)}" 1455 -1456 default = self.sql(expression, "default") -1457 -1458 if default: -1459 statements.append(f"ELSE {default}") -1460 -1461 statements.append("END") -1462 -1463 if self.pretty and self.text_width(statements) > self._max_text_width: -1464 return self.indent("\n".join(statements), skip_first=True, skip_last=True) +1456 def case_sql(self, expression: exp.Case) -> str: +1457 this = self.sql(expression, "this") +1458 statements = [f"CASE {this}" if this else "CASE"] +1459 +1460 for e in expression.args["ifs"]: +1461 statements.append(f"WHEN {self.sql(e, 'this')}") +1462 statements.append(f"THEN {self.sql(e, 'true')}") +1463 +1464 default = self.sql(expression, "default") 1465 -1466 return " ".join(statements) -1467 -1468 def constraint_sql(self, expression: exp.Constraint) -> str: -1469 this = self.sql(expression, "this") -1470 expressions = self.expressions(expression, flat=True) -1471 return f"CONSTRAINT {this} {expressions}" -1472 -1473 def extract_sql(self, expression: exp.Extract) -> str: -1474 this = self.sql(expression, "this") -1475 expression_sql = self.sql(expression, "expression") -1476 return f"EXTRACT({this} FROM {expression_sql})" -1477 -1478 def trim_sql(self, expression: exp.Trim) -> str: -1479 trim_type = self.sql(expression, "position") +1466 if default: +1467 statements.append(f"ELSE {default}") +1468 +1469 statements.append("END") +1470 +1471 if self.pretty and self.text_width(statements) > self._max_text_width: +1472 return self.indent("\n".join(statements), skip_first=True, skip_last=True) +1473 +1474 return " ".join(statements) +1475 +1476 def constraint_sql(self, expression: exp.Constraint) -> str: +1477 this = self.sql(expression, "this") +1478 expressions = self.expressions(expression, flat=True) +1479 return f"CONSTRAINT {this} {expressions}" 1480 -1481 if trim_type == "LEADING": -1482 return self.func("LTRIM", expression.this) -1483 elif trim_type == "TRAILING": -1484 return self.func("RTRIM", expression.this) -1485 else: -1486 return self.func("TRIM", expression.this, expression.expression) -1487 -1488 def concat_sql(self, expression: exp.Concat) -> str: -1489 if len(expression.expressions) == 1: -1490 return self.sql(expression.expressions[0]) -1491 return self.function_fallback_sql(expression) -1492 -1493 def check_sql(self, expression: exp.Check) -> str: -1494 this = self.sql(expression, key="this") -1495 return f"CHECK ({this})" -1496 -1497 def foreignkey_sql(self, expression: exp.ForeignKey) -> str: -1498 expressions = self.expressions(expression, flat=True) -1499 reference = self.sql(expression, "reference") -1500 reference = f" {reference}" if reference else "" -1501 delete = self.sql(expression, "delete") -1502 delete = f" ON DELETE {delete}" if delete else "" -1503 update = self.sql(expression, "update") -1504 update = f" ON UPDATE {update}" if update else "" -1505 return f"FOREIGN KEY ({expressions}){reference}{delete}{update}" -1506 -1507 def primarykey_sql(self, expression: exp.ForeignKey) -> str: -1508 expressions = self.expressions(expression, flat=True) -1509 options = self.expressions(expression, "options", flat=True, sep=" ") -1510 options = f" {options}" if options else "" -1511 return f"PRIMARY KEY ({expressions}){options}" -1512 -1513 def unique_sql(self, expression: exp.Unique) -> str: -1514 columns = self.expressions(expression, key="expressions") -1515 return f"UNIQUE ({columns})" -1516 -1517 def if_sql(self, expression: exp.If) -> str: -1518 return self.case_sql( -1519 exp.Case(ifs=[expression.copy()], default=expression.args.get("false")) -1520 ) -1521 -1522 def in_sql(self, expression: exp.In) -> str: -1523 query = expression.args.get("query") -1524 unnest = expression.args.get("unnest") -1525 field = expression.args.get("field") -1526 is_global = " GLOBAL" if expression.args.get("is_global") else "" -1527 -1528 if query: -1529 in_sql = self.wrap(query) -1530 elif unnest: -1531 in_sql = self.in_unnest_op(unnest) -1532 elif field: -1533 in_sql = self.sql(field) -1534 else: -1535 in_sql = f"({self.expressions(expression, flat=True)})" -1536 -1537 return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}" -1538 -1539 def in_unnest_op(self, unnest: exp.Unnest) -> str: -1540 return f"(SELECT {self.sql(unnest)})" -1541 -1542 def interval_sql(self, expression: exp.Interval) -> str: -1543 this = expression.args.get("this") -1544 if this: -1545 this = ( -1546 f" {this}" -1547 if isinstance(this, exp.Literal) or isinstance(this, exp.Paren) -1548 else f" ({this})" -1549 ) -1550 else: -1551 this = "" -1552 unit = expression.args.get("unit") -1553 unit = f" {unit}" if unit else "" -1554 return f"INTERVAL{this}{unit}" -1555 -1556 def return_sql(self, expression: exp.Return) -> str: -1557 return f"RETURN {self.sql(expression, 'this')}" -1558 -1559 def reference_sql(self, expression: exp.Reference) -> str: -1560 this = self.sql(expression, "this") -1561 expressions = self.expressions(expression, flat=True) -1562 expressions = f"({expressions})" if expressions else "" -1563 options = self.expressions(expression, "options", flat=True, sep=" ") -1564 options = f" {options}" if options else "" -1565 return f"REFERENCES {this}{expressions}{options}" +1481 def extract_sql(self, expression: exp.Extract) -> str: +1482 this = self.sql(expression, "this") +1483 expression_sql = self.sql(expression, "expression") +1484 return f"EXTRACT({this} FROM {expression_sql})" +1485 +1486 def trim_sql(self, expression: exp.Trim) -> str: +1487 trim_type = self.sql(expression, "position") +1488 +1489 if trim_type == "LEADING": +1490 return self.func("LTRIM", expression.this) +1491 elif trim_type == "TRAILING": +1492 return self.func("RTRIM", expression.this) +1493 else: +1494 return self.func("TRIM", expression.this, expression.expression) +1495 +1496 def concat_sql(self, expression: exp.Concat) -> str: +1497 if len(expression.expressions) == 1: +1498 return self.sql(expression.expressions[0]) +1499 return self.function_fallback_sql(expression) +1500 +1501 def check_sql(self, expression: exp.Check) -> str: +1502 this = self.sql(expression, key="this") +1503 return f"CHECK ({this})" +1504 +1505 def foreignkey_sql(self, expression: exp.ForeignKey) -> str: +1506 expressions = self.expressions(expression, flat=True) +1507 reference = self.sql(expression, "reference") +1508 reference = f" {reference}" if reference else "" +1509 delete = self.sql(expression, "delete") +1510 delete = f" ON DELETE {delete}" if delete else "" +1511 update = self.sql(expression, "update") +1512 update = f" ON UPDATE {update}" if update else "" +1513 return f"FOREIGN KEY ({expressions}){reference}{delete}{update}" +1514 +1515 def primarykey_sql(self, expression: exp.ForeignKey) -> str: +1516 expressions = self.expressions(expression, flat=True) +1517 options = self.expressions(expression, "options", flat=True, sep=" ") +1518 options = f" {options}" if options else "" +1519 return f"PRIMARY KEY ({expressions}){options}" +1520 +1521 def unique_sql(self, expression: exp.Unique) -> str: +1522 columns = self.expressions(expression, key="expressions") +1523 return f"UNIQUE ({columns})" +1524 +1525 def if_sql(self, expression: exp.If) -> str: +1526 return self.case_sql( +1527 exp.Case(ifs=[expression.copy()], default=expression.args.get("false")) +1528 ) +1529 +1530 def in_sql(self, expression: exp.In) -> str: +1531 query = expression.args.get("query") +1532 unnest = expression.args.get("unnest") +1533 field = expression.args.get("field") +1534 is_global = " GLOBAL" if expression.args.get("is_global") else "" +1535 +1536 if query: +1537 in_sql = self.wrap(query) +1538 elif unnest: +1539 in_sql = self.in_unnest_op(unnest) +1540 elif field: +1541 in_sql = self.sql(field) +1542 else: +1543 in_sql = f"({self.expressions(expression, flat=True)})" +1544 +1545 return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}" +1546 +1547 def in_unnest_op(self, unnest: exp.Unnest) -> str: +1548 return f"(SELECT {self.sql(unnest)})" +1549 +1550 def interval_sql(self, expression: exp.Interval) -> str: +1551 this = expression.args.get("this") +1552 if this: +1553 this = ( +1554 f" {this}" +1555 if isinstance(this, exp.Literal) or isinstance(this, exp.Paren) +1556 else f" ({this})" +1557 ) +1558 else: +1559 this = "" +1560 unit = expression.args.get("unit") +1561 unit = f" {unit}" if unit else "" +1562 return f"INTERVAL{this}{unit}" +1563 +1564 def return_sql(self, expression: exp.Return) -> str: +1565 return f"RETURN {self.sql(expression, 'this')}" 1566 -1567 def anonymous_sql(self, expression: exp.Anonymous) -> str: -1568 return self.func(expression.name, *expression.expressions) -1569 -1570 def paren_sql(self, expression: exp.Paren) -> str: -1571 if isinstance(expression.unnest(), exp.Select): -1572 sql = self.wrap(expression) -1573 else: -1574 sql = self.seg(self.indent(self.sql(expression, "this")), sep="") -1575 sql = f"({sql}{self.seg(')', sep='')}" -1576 -1577 return self.prepend_ctes(expression, sql) -1578 -1579 def neg_sql(self, expression: exp.Neg) -> str: -1580 # This makes sure we don't convert "- - 5" to "--5", which is a comment -1581 this_sql = self.sql(expression, "this") -1582 sep = " " if this_sql[0] == "-" else "" -1583 return f"-{sep}{this_sql}" +1567 def reference_sql(self, expression: exp.Reference) -> str: +1568 this = self.sql(expression, "this") +1569 expressions = self.expressions(expression, flat=True) +1570 expressions = f"({expressions})" if expressions else "" +1571 options = self.expressions(expression, "options", flat=True, sep=" ") +1572 options = f" {options}" if options else "" +1573 return f"REFERENCES {this}{expressions}{options}" +1574 +1575 def anonymous_sql(self, expression: exp.Anonymous) -> str: +1576 return self.func(expression.name, *expression.expressions) +1577 +1578 def paren_sql(self, expression: exp.Paren) -> str: +1579 if isinstance(expression.unnest(), exp.Select): +1580 sql = self.wrap(expression) +1581 else: +1582 sql = self.seg(self.indent(self.sql(expression, "this")), sep="") +1583 sql = f"({sql}{self.seg(')', sep='')}" 1584 -1585 def not_sql(self, expression: exp.Not) -> str: -1586 return f"NOT {self.sql(expression, 'this')}" -1587 -1588 def alias_sql(self, expression: exp.Alias) -> str: -1589 to_sql = self.sql(expression, "alias") -1590 to_sql = f" AS {to_sql}" if to_sql else "" -1591 return f"{self.sql(expression, 'this')}{to_sql}" +1585 return self.prepend_ctes(expression, sql) +1586 +1587 def neg_sql(self, expression: exp.Neg) -> str: +1588 # This makes sure we don't convert "- - 5" to "--5", which is a comment +1589 this_sql = self.sql(expression, "this") +1590 sep = " " if this_sql[0] == "-" else "" +1591 return f"-{sep}{this_sql}" 1592 -1593 def aliases_sql(self, expression: exp.Aliases) -> str: -1594 return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})" +1593 def not_sql(self, expression: exp.Not) -> str: +1594 return f"NOT {self.sql(expression, 'this')}" 1595 -1596 def attimezone_sql(self, expression: exp.AtTimeZone) -> str: -1597 this = self.sql(expression, "this") -1598 zone = self.sql(expression, "zone") -1599 return f"{this} AT TIME ZONE {zone}" +1596 def alias_sql(self, expression: exp.Alias) -> str: +1597 to_sql = self.sql(expression, "alias") +1598 to_sql = f" AS {to_sql}" if to_sql else "" +1599 return f"{self.sql(expression, 'this')}{to_sql}" 1600 -1601 def add_sql(self, expression: exp.Add) -> str: -1602 return self.binary(expression, "+") +1601 def aliases_sql(self, expression: exp.Aliases) -> str: +1602 return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})" 1603 -1604 def and_sql(self, expression: exp.And) -> str: -1605 return self.connector_sql(expression, "AND") -1606 -1607 def connector_sql(self, expression: exp.Connector, op: str) -> str: -1608 if not self.pretty: -1609 return self.binary(expression, op) -1610 -1611 sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False)) -1612 sep = "\n" if self.text_width(sqls) > self._max_text_width else " " -1613 return f"{sep}{op} ".join(sqls) +1604 def attimezone_sql(self, expression: exp.AtTimeZone) -> str: +1605 this = self.sql(expression, "this") +1606 zone = self.sql(expression, "zone") +1607 return f"{this} AT TIME ZONE {zone}" +1608 +1609 def add_sql(self, expression: exp.Add) -> str: +1610 return self.binary(expression, "+") +1611 +1612 def and_sql(self, expression: exp.And) -> str: +1613 return self.connector_sql(expression, "AND") 1614 -1615 def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str: -1616 return self.binary(expression, "&") -1617 -1618 def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str: -1619 return self.binary(expression, "<<") -1620 -1621 def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str: -1622 return f"~{self.sql(expression, 'this')}" -1623 -1624 def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str: -1625 return self.binary(expression, "|") -1626 -1627 def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str: -1628 return self.binary(expression, ">>") -1629 -1630 def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str: -1631 return self.binary(expression, "^") -1632 -1633 def cast_sql(self, expression: exp.Cast) -> str: -1634 return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" -1635 -1636 def currentdate_sql(self, expression: exp.CurrentDate) -> str: -1637 zone = self.sql(expression, "this") -1638 return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE" -1639 -1640 def collate_sql(self, expression: exp.Collate) -> str: -1641 return self.binary(expression, "COLLATE") -1642 -1643 def command_sql(self, expression: exp.Command) -> str: -1644 return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}" -1645 -1646 def transaction_sql(self, *_) -> str: -1647 return "BEGIN" -1648 -1649 def commit_sql(self, expression: exp.Commit) -> str: -1650 chain = expression.args.get("chain") -1651 if chain is not None: -1652 chain = " AND CHAIN" if chain else " AND NO CHAIN" +1615 def connector_sql(self, expression: exp.Connector, op: str) -> str: +1616 if not self.pretty: +1617 return self.binary(expression, op) +1618 +1619 sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False)) +1620 sep = "\n" if self.text_width(sqls) > self._max_text_width else " " +1621 return f"{sep}{op} ".join(sqls) +1622 +1623 def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str: +1624 return self.binary(expression, "&") +1625 +1626 def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str: +1627 return self.binary(expression, "<<") +1628 +1629 def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str: +1630 return f"~{self.sql(expression, 'this')}" +1631 +1632 def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str: +1633 return self.binary(expression, "|") +1634 +1635 def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str: +1636 return self.binary(expression, ">>") +1637 +1638 def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str: +1639 return self.binary(expression, "^") +1640 +1641 def cast_sql(self, expression: exp.Cast) -> str: +1642 return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1643 +1644 def currentdate_sql(self, expression: exp.CurrentDate) -> str: +1645 zone = self.sql(expression, "this") +1646 return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE" +1647 +1648 def collate_sql(self, expression: exp.Collate) -> str: +1649 return self.binary(expression, "COLLATE") +1650 +1651 def command_sql(self, expression: exp.Command) -> str: +1652 return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}" 1653 -1654 return f"COMMIT{chain or ''}" -1655 -1656 def rollback_sql(self, expression: exp.Rollback) -> str: -1657 savepoint = expression.args.get("savepoint") -1658 savepoint = f" TO {savepoint}" if savepoint else "" -1659 return f"ROLLBACK{savepoint}" +1654 def comment_sql(self, expression: exp.Comment) -> str: +1655 this = self.sql(expression, "this") +1656 kind = expression.args["kind"] +1657 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " +1658 expression_sql = self.sql(expression, "expression") +1659 return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}" 1660 -1661 def altercolumn_sql(self, expression: exp.AlterColumn) -> str: -1662 this = self.sql(expression, "this") +1661 def transaction_sql(self, *_) -> str: +1662 return "BEGIN" 1663 -1664 dtype = self.sql(expression, "dtype") -1665 if dtype: -1666 collate = self.sql(expression, "collate") -1667 collate = f" COLLATE {collate}" if collate else "" -1668 using = self.sql(expression, "using") -1669 using = f" USING {using}" if using else "" -1670 return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}" -1671 -1672 default = self.sql(expression, "default") -1673 if default: -1674 return f"ALTER COLUMN {this} SET DEFAULT {default}" +1664 def commit_sql(self, expression: exp.Commit) -> str: +1665 chain = expression.args.get("chain") +1666 if chain is not None: +1667 chain = " AND CHAIN" if chain else " AND NO CHAIN" +1668 +1669 return f"COMMIT{chain or ''}" +1670 +1671 def rollback_sql(self, expression: exp.Rollback) -> str: +1672 savepoint = expression.args.get("savepoint") +1673 savepoint = f" TO {savepoint}" if savepoint else "" +1674 return f"ROLLBACK{savepoint}" 1675 -1676 if not expression.args.get("drop"): -1677 self.unsupported("Unsupported ALTER COLUMN syntax") +1676 def altercolumn_sql(self, expression: exp.AlterColumn) -> str: +1677 this = self.sql(expression, "this") 1678 -1679 return f"ALTER COLUMN {this} DROP DEFAULT" -1680 -1681 def renametable_sql(self, expression: exp.RenameTable) -> str: -1682 this = self.sql(expression, "this") -1683 return f"RENAME TO {this}" -1684 -1685 def altertable_sql(self, expression: exp.AlterTable) -> str: -1686 actions = expression.args["actions"] -1687 -1688 if isinstance(actions[0], exp.ColumnDef): -1689 actions = self.expressions(expression, "actions", prefix="ADD COLUMN ") -1690 elif isinstance(actions[0], exp.Schema): -1691 actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ") -1692 elif isinstance(actions[0], exp.Delete): -1693 actions = self.expressions(expression, "actions", flat=True) -1694 else: -1695 actions = self.expressions(expression, "actions") -1696 -1697 exists = " IF EXISTS" if expression.args.get("exists") else "" -1698 return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}" +1679 dtype = self.sql(expression, "dtype") +1680 if dtype: +1681 collate = self.sql(expression, "collate") +1682 collate = f" COLLATE {collate}" if collate else "" +1683 using = self.sql(expression, "using") +1684 using = f" USING {using}" if using else "" +1685 return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}" +1686 +1687 default = self.sql(expression, "default") +1688 if default: +1689 return f"ALTER COLUMN {this} SET DEFAULT {default}" +1690 +1691 if not expression.args.get("drop"): +1692 self.unsupported("Unsupported ALTER COLUMN syntax") +1693 +1694 return f"ALTER COLUMN {this} DROP DEFAULT" +1695 +1696 def renametable_sql(self, expression: exp.RenameTable) -> str: +1697 this = self.sql(expression, "this") +1698 return f"RENAME TO {this}" 1699 -1700 def droppartition_sql(self, expression: exp.DropPartition) -> str: -1701 expressions = self.expressions(expression) -1702 exists = " IF EXISTS " if expression.args.get("exists") else " " -1703 return f"DROP{exists}{expressions}" -1704 -1705 def addconstraint_sql(self, expression: exp.AddConstraint) -> str: -1706 this = self.sql(expression, "this") -1707 expression_ = self.sql(expression, "expression") -1708 add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD" -1709 -1710 enforced = expression.args.get("enforced") -1711 if enforced is not None: -1712 return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}" -1713 -1714 return f"{add_constraint} {expression_}" -1715 -1716 def distinct_sql(self, expression: exp.Distinct) -> str: -1717 this = self.expressions(expression, flat=True) -1718 this = f" {this}" if this else "" +1700 def altertable_sql(self, expression: exp.AlterTable) -> str: +1701 actions = expression.args["actions"] +1702 +1703 if isinstance(actions[0], exp.ColumnDef): +1704 actions = self.expressions(expression, "actions", prefix="ADD COLUMN ") +1705 elif isinstance(actions[0], exp.Schema): +1706 actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ") +1707 elif isinstance(actions[0], exp.Delete): +1708 actions = self.expressions(expression, "actions", flat=True) +1709 else: +1710 actions = self.expressions(expression, "actions") +1711 +1712 exists = " IF EXISTS" if expression.args.get("exists") else "" +1713 return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}" +1714 +1715 def droppartition_sql(self, expression: exp.DropPartition) -> str: +1716 expressions = self.expressions(expression) +1717 exists = " IF EXISTS " if expression.args.get("exists") else " " +1718 return f"DROP{exists}{expressions}" 1719 -1720 on = self.sql(expression, "on") -1721 on = f" ON {on}" if on else "" -1722 return f"DISTINCT{this}{on}" -1723 -1724 def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str: -1725 return f"{self.sql(expression, 'this')} IGNORE NULLS" -1726 -1727 def respectnulls_sql(self, expression: exp.RespectNulls) -> str: -1728 return f"{self.sql(expression, 'this')} RESPECT NULLS" -1729 -1730 def intdiv_sql(self, expression: exp.IntDiv) -> str: -1731 return self.sql( -1732 exp.Cast( -1733 this=exp.Div(this=expression.this, expression=expression.expression), -1734 to=exp.DataType(this=exp.DataType.Type.INT), -1735 ) -1736 ) -1737 -1738 def dpipe_sql(self, expression: exp.DPipe) -> str: -1739 return self.binary(expression, "||") -1740 -1741 def div_sql(self, expression: exp.Div) -> str: -1742 return self.binary(expression, "/") -1743 -1744 def distance_sql(self, expression: exp.Distance) -> str: -1745 return self.binary(expression, "<->") -1746 -1747 def dot_sql(self, expression: exp.Dot) -> str: -1748 return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}" -1749 -1750 def eq_sql(self, expression: exp.EQ) -> str: -1751 return self.binary(expression, "=") +1720 def addconstraint_sql(self, expression: exp.AddConstraint) -> str: +1721 this = self.sql(expression, "this") +1722 expression_ = self.sql(expression, "expression") +1723 add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD" +1724 +1725 enforced = expression.args.get("enforced") +1726 if enforced is not None: +1727 return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}" +1728 +1729 return f"{add_constraint} {expression_}" +1730 +1731 def distinct_sql(self, expression: exp.Distinct) -> str: +1732 this = self.expressions(expression, flat=True) +1733 this = f" {this}" if this else "" +1734 +1735 on = self.sql(expression, "on") +1736 on = f" ON {on}" if on else "" +1737 return f"DISTINCT{this}{on}" +1738 +1739 def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str: +1740 return f"{self.sql(expression, 'this')} IGNORE NULLS" +1741 +1742 def respectnulls_sql(self, expression: exp.RespectNulls) -> str: +1743 return f"{self.sql(expression, 'this')} RESPECT NULLS" +1744 +1745 def intdiv_sql(self, expression: exp.IntDiv) -> str: +1746 return self.sql( +1747 exp.Cast( +1748 this=exp.Div(this=expression.this, expression=expression.expression), +1749 to=exp.DataType(this=exp.DataType.Type.INT), +1750 ) +1751 ) 1752 -1753 def escape_sql(self, expression: exp.Escape) -> str: -1754 return self.binary(expression, "ESCAPE") +1753 def dpipe_sql(self, expression: exp.DPipe) -> str: +1754 return self.binary(expression, "||") 1755 -1756 def glob_sql(self, expression: exp.Glob) -> str: -1757 return self.binary(expression, "GLOB") +1756 def div_sql(self, expression: exp.Div) -> str: +1757 return self.binary(expression, "/") 1758 -1759 def gt_sql(self, expression: exp.GT) -> str: -1760 return self.binary(expression, ">") +1759 def overlaps_sql(self, expression: exp.Overlaps) -> str: +1760 return self.binary(expression, "OVERLAPS") 1761 -1762 def gte_sql(self, expression: exp.GTE) -> str: -1763 return self.binary(expression, ">=") +1762 def distance_sql(self, expression: exp.Distance) -> str: +1763 return self.binary(expression, "<->") 1764 -1765 def ilike_sql(self, expression: exp.ILike) -> str: -1766 return self.binary(expression, "ILIKE") +1765 def dot_sql(self, expression: exp.Dot) -> str: +1766 return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}" 1767 -1768 def is_sql(self, expression: exp.Is) -> str: -1769 return self.binary(expression, "IS") +1768 def eq_sql(self, expression: exp.EQ) -> str: +1769 return self.binary(expression, "=") 1770 -1771 def like_sql(self, expression: exp.Like) -> str: -1772 return self.binary(expression, "LIKE") +1771 def escape_sql(self, expression: exp.Escape) -> str: +1772 return self.binary(expression, "ESCAPE") 1773 -1774 def similarto_sql(self, expression: exp.SimilarTo) -> str: -1775 return self.binary(expression, "SIMILAR TO") +1774 def glob_sql(self, expression: exp.Glob) -> str: +1775 return self.binary(expression, "GLOB") 1776 -1777 def lt_sql(self, expression: exp.LT) -> str: -1778 return self.binary(expression, "<") +1777 def gt_sql(self, expression: exp.GT) -> str: +1778 return self.binary(expression, ">") 1779 -1780 def lte_sql(self, expression: exp.LTE) -> str: -1781 return self.binary(expression, "<=") +1780 def gte_sql(self, expression: exp.GTE) -> str: +1781 return self.binary(expression, ">=") 1782 -1783 def mod_sql(self, expression: exp.Mod) -> str: -1784 return self.binary(expression, "%") +1783 def ilike_sql(self, expression: exp.ILike) -> str: +1784 return self.binary(expression, "ILIKE") 1785 -1786 def mul_sql(self, expression: exp.Mul) -> str: -1787 return self.binary(expression, "*") +1786 def is_sql(self, expression: exp.Is) -> str: +1787 return self.binary(expression, "IS") 1788 -1789 def neq_sql(self, expression: exp.NEQ) -> str: -1790 return self.binary(expression, "<>") +1789 def like_sql(self, expression: exp.Like) -> str: +1790 return self.binary(expression, "LIKE") 1791 -1792 def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str: -1793 return self.binary(expression, "IS NOT DISTINCT FROM") +1792 def similarto_sql(self, expression: exp.SimilarTo) -> str: +1793 return self.binary(expression, "SIMILAR TO") 1794 -1795 def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str: -1796 return self.binary(expression, "IS DISTINCT FROM") +1795 def lt_sql(self, expression: exp.LT) -> str: +1796 return self.binary(expression, "<") 1797 -1798 def or_sql(self, expression: exp.Or) -> str: -1799 return self.connector_sql(expression, "OR") +1798 def lte_sql(self, expression: exp.LTE) -> str: +1799 return self.binary(expression, "<=") 1800 -1801 def slice_sql(self, expression: exp.Slice) -> str: -1802 return self.binary(expression, ":") +1801 def mod_sql(self, expression: exp.Mod) -> str: +1802 return self.binary(expression, "%") 1803 -1804 def sub_sql(self, expression: exp.Sub) -> str: -1805 return self.binary(expression, "-") +1804 def mul_sql(self, expression: exp.Mul) -> str: +1805 return self.binary(expression, "*") 1806 -1807 def trycast_sql(self, expression: exp.TryCast) -> str: -1808 return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1807 def neq_sql(self, expression: exp.NEQ) -> str: +1808 return self.binary(expression, "<>") 1809 -1810 def use_sql(self, expression: exp.Use) -> str: -1811 kind = self.sql(expression, "kind") -1812 kind = f" {kind}" if kind else "" -1813 this = self.sql(expression, "this") -1814 this = f" {this}" if this else "" -1815 return f"USE{kind}{this}" -1816 -1817 def binary(self, expression: exp.Binary, op: str) -> str: -1818 return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}" -1819 -1820 def function_fallback_sql(self, expression: exp.Func) -> str: -1821 args = [] -1822 for arg_value in expression.args.values(): -1823 if isinstance(arg_value, list): -1824 for value in arg_value: -1825 args.append(value) -1826 else: -1827 args.append(arg_value) -1828 -1829 return self.func(expression.sql_name(), *args) -1830 -1831 def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str: -1832 return f"{self.normalize_func(name)}({self.format_args(*args)})" -1833 -1834 def format_args(self, *args: t.Optional[str | exp.Expression]) -> str: -1835 arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None) -1836 if self.pretty and self.text_width(arg_sqls) > self._max_text_width: -1837 return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True) -1838 return ", ".join(arg_sqls) -1839 -1840 def text_width(self, args: t.Iterable) -> int: -1841 return sum(len(arg) for arg in args) -1842 -1843 def format_time(self, expression: exp.Expression) -> t.Optional[str]: -1844 return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie) -1845 -1846 def expressions( -1847 self, -1848 expression: exp.Expression, -1849 key: t.Optional[str] = None, -1850 flat: bool = False, -1851 indent: bool = True, -1852 sep: str = ", ", -1853 prefix: str = "", -1854 ) -> str: -1855 expressions = expression.args.get(key or "expressions") -1856 -1857 if not expressions: -1858 return "" -1859 -1860 if flat: -1861 return sep.join(self.sql(e) for e in expressions) -1862 -1863 num_sqls = len(expressions) -1864 -1865 # These are calculated once in case we have the leading_comma / pretty option set, correspondingly -1866 pad = " " * self.pad -1867 stripped_sep = sep.strip() -1868 -1869 result_sqls = [] -1870 for i, e in enumerate(expressions): -1871 sql = self.sql(e, comment=False) -1872 comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else "" -1873 -1874 if self.pretty: -1875 if self._leading_comma: -1876 result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}") -1877 else: -1878 result_sqls.append( -1879 f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}" -1880 ) -1881 else: -1882 result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}") -1883 -1884 result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls) -1885 return self.indent(result_sql, skip_first=False) if indent else result_sql +1810 def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str: +1811 return self.binary(expression, "IS NOT DISTINCT FROM") +1812 +1813 def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str: +1814 return self.binary(expression, "IS DISTINCT FROM") +1815 +1816 def or_sql(self, expression: exp.Or) -> str: +1817 return self.connector_sql(expression, "OR") +1818 +1819 def slice_sql(self, expression: exp.Slice) -> str: +1820 return self.binary(expression, ":") +1821 +1822 def sub_sql(self, expression: exp.Sub) -> str: +1823 return self.binary(expression, "-") +1824 +1825 def trycast_sql(self, expression: exp.TryCast) -> str: +1826 return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1827 +1828 def use_sql(self, expression: exp.Use) -> str: +1829 kind = self.sql(expression, "kind") +1830 kind = f" {kind}" if kind else "" +1831 this = self.sql(expression, "this") +1832 this = f" {this}" if this else "" +1833 return f"USE{kind}{this}" +1834 +1835 def binary(self, expression: exp.Binary, op: str) -> str: +1836 return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}" +1837 +1838 def function_fallback_sql(self, expression: exp.Func) -> str: +1839 args = [] +1840 for arg_value in expression.args.values(): +1841 if isinstance(arg_value, list): +1842 for value in arg_value: +1843 args.append(value) +1844 else: +1845 args.append(arg_value) +1846 +1847 return self.func(expression.sql_name(), *args) +1848 +1849 def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str: +1850 return f"{self.normalize_func(name)}({self.format_args(*args)})" +1851 +1852 def format_args(self, *args: t.Optional[str | exp.Expression]) -> str: +1853 arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None) +1854 if self.pretty and self.text_width(arg_sqls) > self._max_text_width: +1855 return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True) +1856 return ", ".join(arg_sqls) +1857 +1858 def text_width(self, args: t.Iterable) -> int: +1859 return sum(len(arg) for arg in args) +1860 +1861 def format_time(self, expression: exp.Expression) -> t.Optional[str]: +1862 return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie) +1863 +1864 def expressions( +1865 self, +1866 expression: exp.Expression, +1867 key: t.Optional[str] = None, +1868 flat: bool = False, +1869 indent: bool = True, +1870 sep: str = ", ", +1871 prefix: str = "", +1872 ) -> str: +1873 expressions = expression.args.get(key or "expressions") +1874 +1875 if not expressions: +1876 return "" +1877 +1878 if flat: +1879 return sep.join(self.sql(e) for e in expressions) +1880 +1881 num_sqls = len(expressions) +1882 +1883 # These are calculated once in case we have the leading_comma / pretty option set, correspondingly +1884 pad = " " * self.pad +1885 stripped_sep = sep.strip() 1886 -1887 def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str: -1888 flat = flat or isinstance(expression.parent, exp.Properties) -1889 expressions_sql = self.expressions(expression, flat=flat) -1890 if flat: -1891 return f"{op} {expressions_sql}" -1892 return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}" -1893 -1894 def naked_property(self, expression: exp.Property) -> str: -1895 property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__) -1896 if not property_name: -1897 self.unsupported(f"Unsupported property {expression.__class__.__name__}") -1898 return f"{property_name} {self.sql(expression, 'this')}" -1899 -1900 def set_operation(self, expression: exp.Expression, op: str) -> str: -1901 this = self.sql(expression, "this") -1902 op = self.seg(op) -1903 return self.query_modifiers( -1904 expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}" -1905 ) -1906 -1907 def tag_sql(self, expression: exp.Tag) -> str: -1908 return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}" -1909 -1910 def token_sql(self, token_type: TokenType) -> str: -1911 return self.TOKEN_MAPPING.get(token_type, token_type.name) -1912 -1913 def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str: -1914 this = self.sql(expression, "this") -1915 expressions = self.no_identify(self.expressions, expression) -1916 expressions = ( -1917 self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}" -1918 ) -1919 return f"{this}{expressions}" -1920 -1921 def joinhint_sql(self, expression: exp.JoinHint) -> str: -1922 this = self.sql(expression, "this") -1923 expressions = self.expressions(expression, flat=True) -1924 return f"{this}({expressions})" -1925 -1926 def kwarg_sql(self, expression: exp.Kwarg) -> str: -1927 return self.binary(expression, "=>") -1928 -1929 def when_sql(self, expression: exp.When) -> str: -1930 this = self.sql(expression, "this") -1931 then_expression = expression.args.get("then") -1932 if isinstance(then_expression, exp.Insert): -1933 then = f"INSERT {self.sql(then_expression, 'this')}" -1934 if "expression" in then_expression.args: -1935 then += f" VALUES {self.sql(then_expression, 'expression')}" -1936 elif isinstance(then_expression, exp.Update): -1937 if isinstance(then_expression.args.get("expressions"), exp.Star): -1938 then = f"UPDATE {self.sql(then_expression, 'expressions')}" -1939 else: -1940 then = f"UPDATE SET {self.expressions(then_expression, flat=True)}" -1941 else: -1942 then = self.sql(then_expression) -1943 return f"WHEN {this} THEN {then}" -1944 -1945 def merge_sql(self, expression: exp.Merge) -> str: -1946 this = self.sql(expression, "this") -1947 using = f"USING {self.sql(expression, 'using')}" -1948 on = f"ON {self.sql(expression, 'on')}" -1949 return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}" +1887 result_sqls = [] +1888 for i, e in enumerate(expressions): +1889 sql = self.sql(e, comment=False) +1890 comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else "" +1891 +1892 if self.pretty: +1893 if self._leading_comma: +1894 result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}") +1895 else: +1896 result_sqls.append( +1897 f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}" +1898 ) +1899 else: +1900 result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}") +1901 +1902 result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls) +1903 return self.indent(result_sql, skip_first=False) if indent else result_sql +1904 +1905 def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str: +1906 flat = flat or isinstance(expression.parent, exp.Properties) +1907 expressions_sql = self.expressions(expression, flat=flat) +1908 if flat: +1909 return f"{op} {expressions_sql}" +1910 return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}" +1911 +1912 def naked_property(self, expression: exp.Property) -> str: +1913 property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__) +1914 if not property_name: +1915 self.unsupported(f"Unsupported property {expression.__class__.__name__}") +1916 return f"{property_name} {self.sql(expression, 'this')}" +1917 +1918 def set_operation(self, expression: exp.Expression, op: str) -> str: +1919 this = self.sql(expression, "this") +1920 op = self.seg(op) +1921 return self.query_modifiers( +1922 expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}" +1923 ) +1924 +1925 def tag_sql(self, expression: exp.Tag) -> str: +1926 return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}" +1927 +1928 def token_sql(self, token_type: TokenType) -> str: +1929 return self.TOKEN_MAPPING.get(token_type, token_type.name) +1930 +1931 def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str: +1932 this = self.sql(expression, "this") +1933 expressions = self.no_identify(self.expressions, expression) +1934 expressions = ( +1935 self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}" +1936 ) +1937 return f"{this}{expressions}" +1938 +1939 def joinhint_sql(self, expression: exp.JoinHint) -> str: +1940 this = self.sql(expression, "this") +1941 expressions = self.expressions(expression, flat=True) +1942 return f"{this}({expressions})" +1943 +1944 def kwarg_sql(self, expression: exp.Kwarg) -> str: +1945 return self.binary(expression, "=>") +1946 +1947 def when_sql(self, expression: exp.When) -> str: +1948 this = self.sql(expression, "this") +1949 then_expression = expression.args.get("then") +1950 if isinstance(then_expression, exp.Insert): +1951 then = f"INSERT {self.sql(then_expression, 'this')}" +1952 if "expression" in then_expression.args: +1953 then += f" VALUES {self.sql(then_expression, 'expression')}" +1954 elif isinstance(then_expression, exp.Update): +1955 if isinstance(then_expression.args.get("expressions"), exp.Star): +1956 then = f"UPDATE {self.sql(then_expression, 'expressions')}" +1957 else: +1958 then = f"UPDATE SET {self.expressions(then_expression, flat=True)}" +1959 else: +1960 then = self.sql(then_expression) +1961 return f"WHEN {this} THEN {then}" +1962 +1963 def merge_sql(self, expression: exp.Merge) -> str: +1964 this = self.sql(expression, "this") +1965 using = f"USING {self.sql(expression, 'using')}" +1966 on = f"ON {self.sql(expression, 'on')}" +1967 return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
    @@ -3185,1403 +3209,1421 @@ 551 else: 552 expression_sql = f" AS{expression_sql}" 553 - 554 replace = " OR REPLACE" if expression.args.get("replace") else "" - 555 unique = " UNIQUE" if expression.args.get("unique") else "" - 556 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" - 557 - 558 indexes = expression.args.get("indexes") - 559 index_sql = "" - 560 if indexes: - 561 indexes_sql = [] - 562 for index in indexes: - 563 ind_unique = " UNIQUE" if index.args.get("unique") else "" - 564 ind_primary = " PRIMARY" if index.args.get("primary") else "" - 565 ind_amp = " AMP" if index.args.get("amp") else "" - 566 ind_name = f" {index.name}" if index.name else "" - 567 ind_columns = ( - 568 f' ({self.expressions(index, key="columns", flat=True)})' - 569 if index.args.get("columns") - 570 else "" - 571 ) - 572 if index.args.get("primary") and properties_locs.get( - 573 exp.Properties.Location.POST_INDEX - 574 ): - 575 postindex_props_sql = self.properties( - 576 exp.Properties( - 577 expressions=properties_locs[exp.Properties.Location.POST_INDEX] - 578 ), - 579 wrapped=False, - 580 ) - 581 ind_columns = f"{ind_columns} {postindex_props_sql}" - 582 - 583 indexes_sql.append( - 584 f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" - 585 ) + 554 postindex_props_sql = "" + 555 if properties_locs.get(exp.Properties.Location.POST_INDEX): + 556 postindex_props_sql = self.properties( + 557 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]), + 558 wrapped=False, + 559 prefix=" ", + 560 ) + 561 + 562 indexes = expression.args.get("indexes") + 563 if indexes: + 564 indexes_sql: t.List[str] = [] + 565 for index in indexes: + 566 ind_unique = " UNIQUE" if index.args.get("unique") else "" + 567 ind_primary = " PRIMARY" if index.args.get("primary") else "" + 568 ind_amp = " AMP" if index.args.get("amp") else "" + 569 ind_name = f" {index.name}" if index.name else "" + 570 ind_columns = ( + 571 f' ({self.expressions(index, key="columns", flat=True)})' + 572 if index.args.get("columns") + 573 else "" + 574 ) + 575 ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" + 576 + 577 if indexes_sql: + 578 indexes_sql.append(ind_sql) + 579 else: + 580 indexes_sql.append( + 581 f"{ind_sql}{postindex_props_sql}" + 582 if index.args.get("primary") + 583 else f"{postindex_props_sql}{ind_sql}" + 584 ) + 585 586 index_sql = "".join(indexes_sql) - 587 - 588 postcreate_props_sql = "" - 589 if properties_locs.get(exp.Properties.Location.POST_CREATE): - 590 postcreate_props_sql = self.properties( - 591 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), - 592 sep=" ", - 593 prefix=" ", - 594 wrapped=False, - 595 ) - 596 - 597 modifiers = "".join((replace, unique, postcreate_props_sql)) - 598 - 599 postexpression_props_sql = "" - 600 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): - 601 postexpression_props_sql = self.properties( - 602 exp.Properties( - 603 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] - 604 ), - 605 sep=" ", - 606 prefix=" ", - 607 wrapped=False, - 608 ) - 609 - 610 no_schema_binding = ( - 611 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" - 612 ) - 613 - 614 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" - 615 return self.prepend_ctes(expression, expression_sql) - 616 - 617 def describe_sql(self, expression: exp.Describe) -> str: - 618 return f"DESCRIBE {self.sql(expression, 'this')}" - 619 - 620 def prepend_ctes(self, expression: exp.Expression, sql: str) -> str: - 621 with_ = self.sql(expression, "with") - 622 if with_: - 623 sql = f"{with_}{self.sep()}{sql}" - 624 return sql - 625 - 626 def with_sql(self, expression: exp.With) -> str: - 627 sql = self.expressions(expression, flat=True) - 628 recursive = "RECURSIVE " if expression.args.get("recursive") else "" - 629 - 630 return f"WITH {recursive}{sql}" - 631 - 632 def cte_sql(self, expression: exp.CTE) -> str: - 633 alias = self.sql(expression, "alias") - 634 return f"{alias} AS {self.wrap(expression)}" - 635 - 636 def tablealias_sql(self, expression: exp.TableAlias) -> str: - 637 alias = self.sql(expression, "this") - 638 columns = self.expressions(expression, key="columns", flat=True) - 639 columns = f"({columns})" if columns else "" - 640 return f"{alias}{columns}" - 641 - 642 def bitstring_sql(self, expression: exp.BitString) -> str: - 643 return self.sql(expression, "this") - 644 - 645 def hexstring_sql(self, expression: exp.HexString) -> str: - 646 return self.sql(expression, "this") - 647 - 648 def datatype_sql(self, expression: exp.DataType) -> str: - 649 type_value = expression.this - 650 type_sql = self.TYPE_MAPPING.get(type_value, type_value.value) - 651 nested = "" - 652 interior = self.expressions(expression, flat=True) - 653 values = "" - 654 if interior: - 655 if expression.args.get("nested"): - 656 nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}" - 657 if expression.args.get("values") is not None: - 658 delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")") - 659 values = ( - 660 f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}" - 661 ) - 662 else: - 663 nested = f"({interior})" - 664 - 665 return f"{type_sql}{nested}{values}" - 666 - 667 def directory_sql(self, expression: exp.Directory) -> str: - 668 local = "LOCAL " if expression.args.get("local") else "" - 669 row_format = self.sql(expression, "row_format") - 670 row_format = f" {row_format}" if row_format else "" - 671 return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}" - 672 - 673 def delete_sql(self, expression: exp.Delete) -> str: - 674 this = self.sql(expression, "this") - 675 this = f" FROM {this}" if this else "" - 676 using_sql = ( - 677 f" USING {self.expressions(expression, 'using', sep=', USING ')}" - 678 if expression.args.get("using") - 679 else "" - 680 ) - 681 where_sql = self.sql(expression, "where") - 682 sql = f"DELETE{this}{using_sql}{where_sql}" - 683 return self.prepend_ctes(expression, sql) - 684 - 685 def drop_sql(self, expression: exp.Drop) -> str: - 686 this = self.sql(expression, "this") - 687 kind = expression.args["kind"] - 688 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " - 689 temporary = " TEMPORARY" if expression.args.get("temporary") else "" - 690 materialized = " MATERIALIZED" if expression.args.get("materialized") else "" - 691 cascade = " CASCADE" if expression.args.get("cascade") else "" - 692 return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}" - 693 - 694 def except_sql(self, expression: exp.Except) -> str: - 695 return self.prepend_ctes( - 696 expression, - 697 self.set_operation(expression, self.except_op(expression)), - 698 ) - 699 - 700 def except_op(self, expression: exp.Except) -> str: - 701 return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}" - 702 - 703 def fetch_sql(self, expression: exp.Fetch) -> str: - 704 direction = expression.args.get("direction") - 705 direction = f" {direction.upper()}" if direction else "" - 706 count = expression.args.get("count") - 707 count = f" {count}" if count else "" - 708 return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY" + 587 else: + 588 index_sql = postindex_props_sql + 589 + 590 replace = " OR REPLACE" if expression.args.get("replace") else "" + 591 unique = " UNIQUE" if expression.args.get("unique") else "" + 592 volatile = " VOLATILE" if expression.args.get("volatile") else "" + 593 + 594 postcreate_props_sql = "" + 595 if properties_locs.get(exp.Properties.Location.POST_CREATE): + 596 postcreate_props_sql = self.properties( + 597 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), + 598 sep=" ", + 599 prefix=" ", + 600 wrapped=False, + 601 ) + 602 + 603 modifiers = "".join((replace, unique, volatile, postcreate_props_sql)) + 604 + 605 postexpression_props_sql = "" + 606 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): + 607 postexpression_props_sql = self.properties( + 608 exp.Properties( + 609 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] + 610 ), + 611 sep=" ", + 612 prefix=" ", + 613 wrapped=False, + 614 ) + 615 + 616 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" + 617 no_schema_binding = ( + 618 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" + 619 ) + 620 + 621 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" + 622 return self.prepend_ctes(expression, expression_sql) + 623 + 624 def describe_sql(self, expression: exp.Describe) -> str: + 625 return f"DESCRIBE {self.sql(expression, 'this')}" + 626 + 627 def prepend_ctes(self, expression: exp.Expression, sql: str) -> str: + 628 with_ = self.sql(expression, "with") + 629 if with_: + 630 sql = f"{with_}{self.sep()}{sql}" + 631 return sql + 632 + 633 def with_sql(self, expression: exp.With) -> str: + 634 sql = self.expressions(expression, flat=True) + 635 recursive = "RECURSIVE " if expression.args.get("recursive") else "" + 636 + 637 return f"WITH {recursive}{sql}" + 638 + 639 def cte_sql(self, expression: exp.CTE) -> str: + 640 alias = self.sql(expression, "alias") + 641 return f"{alias} AS {self.wrap(expression)}" + 642 + 643 def tablealias_sql(self, expression: exp.TableAlias) -> str: + 644 alias = self.sql(expression, "this") + 645 columns = self.expressions(expression, key="columns", flat=True) + 646 columns = f"({columns})" if columns else "" + 647 return f"{alias}{columns}" + 648 + 649 def bitstring_sql(self, expression: exp.BitString) -> str: + 650 return self.sql(expression, "this") + 651 + 652 def hexstring_sql(self, expression: exp.HexString) -> str: + 653 return self.sql(expression, "this") + 654 + 655 def datatype_sql(self, expression: exp.DataType) -> str: + 656 type_value = expression.this + 657 type_sql = self.TYPE_MAPPING.get(type_value, type_value.value) + 658 nested = "" + 659 interior = self.expressions(expression, flat=True) + 660 values = "" + 661 if interior: + 662 if expression.args.get("nested"): + 663 nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}" + 664 if expression.args.get("values") is not None: + 665 delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")") + 666 values = ( + 667 f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}" + 668 ) + 669 else: + 670 nested = f"({interior})" + 671 + 672 return f"{type_sql}{nested}{values}" + 673 + 674 def directory_sql(self, expression: exp.Directory) -> str: + 675 local = "LOCAL " if expression.args.get("local") else "" + 676 row_format = self.sql(expression, "row_format") + 677 row_format = f" {row_format}" if row_format else "" + 678 return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}" + 679 + 680 def delete_sql(self, expression: exp.Delete) -> str: + 681 this = self.sql(expression, "this") + 682 this = f" FROM {this}" if this else "" + 683 using_sql = ( + 684 f" USING {self.expressions(expression, 'using', sep=', USING ')}" + 685 if expression.args.get("using") + 686 else "" + 687 ) + 688 where_sql = self.sql(expression, "where") + 689 sql = f"DELETE{this}{using_sql}{where_sql}" + 690 return self.prepend_ctes(expression, sql) + 691 + 692 def drop_sql(self, expression: exp.Drop) -> str: + 693 this = self.sql(expression, "this") + 694 kind = expression.args["kind"] + 695 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " + 696 temporary = " TEMPORARY" if expression.args.get("temporary") else "" + 697 materialized = " MATERIALIZED" if expression.args.get("materialized") else "" + 698 cascade = " CASCADE" if expression.args.get("cascade") else "" + 699 return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}" + 700 + 701 def except_sql(self, expression: exp.Except) -> str: + 702 return self.prepend_ctes( + 703 expression, + 704 self.set_operation(expression, self.except_op(expression)), + 705 ) + 706 + 707 def except_op(self, expression: exp.Except) -> str: + 708 return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}" 709 - 710 def filter_sql(self, expression: exp.Filter) -> str: - 711 this = self.sql(expression, "this") - 712 where = self.sql(expression, "expression")[1:] # where has a leading space - 713 return f"{this} FILTER({where})" - 714 - 715 def hint_sql(self, expression: exp.Hint) -> str: - 716 if self.sql(expression, "this"): - 717 self.unsupported("Hints are not supported") - 718 return "" - 719 - 720 def index_sql(self, expression: exp.Index) -> str: - 721 this = self.sql(expression, "this") - 722 table = self.sql(expression, "table") - 723 columns = self.sql(expression, "columns") - 724 return f"{this} ON {table} {columns}" - 725 - 726 def identifier_sql(self, expression: exp.Identifier) -> str: - 727 text = expression.name - 728 text = text.lower() if self.normalize else text - 729 text = text.replace(self.identifier_end, self._escaped_identifier_end) - 730 if expression.args.get("quoted") or self.identify: - 731 text = f"{self.identifier_start}{text}{self.identifier_end}" - 732 return text - 733 - 734 def national_sql(self, expression: exp.National) -> str: - 735 return f"N{self.sql(expression, 'this')}" - 736 - 737 def partition_sql(self, expression: exp.Partition) -> str: - 738 return f"PARTITION({self.expressions(expression)})" - 739 - 740 def properties_sql(self, expression: exp.Properties) -> str: - 741 root_properties = [] - 742 with_properties = [] + 710 def fetch_sql(self, expression: exp.Fetch) -> str: + 711 direction = expression.args.get("direction") + 712 direction = f" {direction.upper()}" if direction else "" + 713 count = expression.args.get("count") + 714 count = f" {count}" if count else "" + 715 return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY" + 716 + 717 def filter_sql(self, expression: exp.Filter) -> str: + 718 this = self.sql(expression, "this") + 719 where = self.sql(expression, "expression")[1:] # where has a leading space + 720 return f"{this} FILTER({where})" + 721 + 722 def hint_sql(self, expression: exp.Hint) -> str: + 723 if self.sql(expression, "this"): + 724 self.unsupported("Hints are not supported") + 725 return "" + 726 + 727 def index_sql(self, expression: exp.Index) -> str: + 728 this = self.sql(expression, "this") + 729 table = self.sql(expression, "table") + 730 columns = self.sql(expression, "columns") + 731 return f"{this} ON {table} {columns}" + 732 + 733 def identifier_sql(self, expression: exp.Identifier) -> str: + 734 text = expression.name + 735 text = text.lower() if self.normalize else text + 736 text = text.replace(self.identifier_end, self._escaped_identifier_end) + 737 if expression.args.get("quoted") or self.identify: + 738 text = f"{self.identifier_start}{text}{self.identifier_end}" + 739 return text + 740 + 741 def national_sql(self, expression: exp.National) -> str: + 742 return f"N{self.sql(expression, 'this')}" 743 - 744 for p in expression.expressions: - 745 p_loc = self.PROPERTIES_LOCATION[p.__class__] - 746 if p_loc == exp.Properties.Location.POST_WITH: - 747 with_properties.append(p) - 748 elif p_loc == exp.Properties.Location.POST_SCHEMA: - 749 root_properties.append(p) + 744 def partition_sql(self, expression: exp.Partition) -> str: + 745 return f"PARTITION({self.expressions(expression)})" + 746 + 747 def properties_sql(self, expression: exp.Properties) -> str: + 748 root_properties = [] + 749 with_properties = [] 750 - 751 return self.root_properties( - 752 exp.Properties(expressions=root_properties) - 753 ) + self.with_properties(exp.Properties(expressions=with_properties)) - 754 - 755 def root_properties(self, properties: exp.Properties) -> str: - 756 if properties.expressions: - 757 return self.sep() + self.expressions(properties, indent=False, sep=" ") - 758 return "" - 759 - 760 def properties( - 761 self, - 762 properties: exp.Properties, - 763 prefix: str = "", - 764 sep: str = ", ", - 765 suffix: str = "", - 766 wrapped: bool = True, - 767 ) -> str: - 768 if properties.expressions: - 769 expressions = self.expressions(properties, sep=sep, indent=False) - 770 expressions = self.wrap(expressions) if wrapped else expressions - 771 return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}" - 772 return "" - 773 - 774 def with_properties(self, properties: exp.Properties) -> str: - 775 return self.properties(properties, prefix=self.seg("WITH")) - 776 - 777 def locate_properties( - 778 self, properties: exp.Properties - 779 ) -> t.Dict[exp.Properties.Location, list[exp.Property]]: - 780 properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = { - 781 key: [] for key in exp.Properties.Location - 782 } + 751 for p in expression.expressions: + 752 p_loc = self.PROPERTIES_LOCATION[p.__class__] + 753 if p_loc == exp.Properties.Location.POST_WITH: + 754 with_properties.append(p) + 755 elif p_loc == exp.Properties.Location.POST_SCHEMA: + 756 root_properties.append(p) + 757 + 758 return self.root_properties( + 759 exp.Properties(expressions=root_properties) + 760 ) + self.with_properties(exp.Properties(expressions=with_properties)) + 761 + 762 def root_properties(self, properties: exp.Properties) -> str: + 763 if properties.expressions: + 764 return self.sep() + self.expressions(properties, indent=False, sep=" ") + 765 return "" + 766 + 767 def properties( + 768 self, + 769 properties: exp.Properties, + 770 prefix: str = "", + 771 sep: str = ", ", + 772 suffix: str = "", + 773 wrapped: bool = True, + 774 ) -> str: + 775 if properties.expressions: + 776 expressions = self.expressions(properties, sep=sep, indent=False) + 777 expressions = self.wrap(expressions) if wrapped else expressions + 778 return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}" + 779 return "" + 780 + 781 def with_properties(self, properties: exp.Properties) -> str: + 782 return self.properties(properties, prefix=self.seg("WITH")) 783 - 784 for p in properties.expressions: - 785 p_loc = self.PROPERTIES_LOCATION[p.__class__] - 786 if p_loc == exp.Properties.Location.POST_NAME: - 787 properties_locs[exp.Properties.Location.POST_NAME].append(p) - 788 elif p_loc == exp.Properties.Location.POST_INDEX: - 789 properties_locs[exp.Properties.Location.POST_INDEX].append(p) - 790 elif p_loc == exp.Properties.Location.POST_SCHEMA: - 791 properties_locs[exp.Properties.Location.POST_SCHEMA].append(p) - 792 elif p_loc == exp.Properties.Location.POST_WITH: - 793 properties_locs[exp.Properties.Location.POST_WITH].append(p) - 794 elif p_loc == exp.Properties.Location.POST_CREATE: - 795 properties_locs[exp.Properties.Location.POST_CREATE].append(p) - 796 elif p_loc == exp.Properties.Location.POST_ALIAS: - 797 properties_locs[exp.Properties.Location.POST_ALIAS].append(p) - 798 elif p_loc == exp.Properties.Location.POST_EXPRESSION: - 799 properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p) - 800 elif p_loc == exp.Properties.Location.UNSUPPORTED: - 801 self.unsupported(f"Unsupported property {p.key}") - 802 - 803 return properties_locs - 804 - 805 def property_sql(self, expression: exp.Property) -> str: - 806 property_cls = expression.__class__ - 807 if property_cls == exp.Property: - 808 return f"{expression.name}={self.sql(expression, 'value')}" + 784 def locate_properties( + 785 self, properties: exp.Properties + 786 ) -> t.Dict[exp.Properties.Location, list[exp.Property]]: + 787 properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = { + 788 key: [] for key in exp.Properties.Location + 789 } + 790 + 791 for p in properties.expressions: + 792 p_loc = self.PROPERTIES_LOCATION[p.__class__] + 793 if p_loc == exp.Properties.Location.POST_NAME: + 794 properties_locs[exp.Properties.Location.POST_NAME].append(p) + 795 elif p_loc == exp.Properties.Location.POST_INDEX: + 796 properties_locs[exp.Properties.Location.POST_INDEX].append(p) + 797 elif p_loc == exp.Properties.Location.POST_SCHEMA: + 798 properties_locs[exp.Properties.Location.POST_SCHEMA].append(p) + 799 elif p_loc == exp.Properties.Location.POST_WITH: + 800 properties_locs[exp.Properties.Location.POST_WITH].append(p) + 801 elif p_loc == exp.Properties.Location.POST_CREATE: + 802 properties_locs[exp.Properties.Location.POST_CREATE].append(p) + 803 elif p_loc == exp.Properties.Location.POST_ALIAS: + 804 properties_locs[exp.Properties.Location.POST_ALIAS].append(p) + 805 elif p_loc == exp.Properties.Location.POST_EXPRESSION: + 806 properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p) + 807 elif p_loc == exp.Properties.Location.UNSUPPORTED: + 808 self.unsupported(f"Unsupported property {p.key}") 809 - 810 property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls) - 811 if not property_name: - 812 self.unsupported(f"Unsupported property {expression.key}") - 813 - 814 return f"{property_name}={self.sql(expression, 'this')}" - 815 - 816 def likeproperty_sql(self, expression: exp.LikeProperty) -> str: - 817 options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions) - 818 options = f" {options}" if options else "" - 819 return f"LIKE {self.sql(expression, 'this')}{options}" + 810 return properties_locs + 811 + 812 def property_sql(self, expression: exp.Property) -> str: + 813 property_cls = expression.__class__ + 814 if property_cls == exp.Property: + 815 return f"{expression.name}={self.sql(expression, 'value')}" + 816 + 817 property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls) + 818 if not property_name: + 819 self.unsupported(f"Unsupported property {expression.key}") 820 - 821 def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str: - 822 no = "NO " if expression.args.get("no") else "" - 823 protection = " PROTECTION" if expression.args.get("protection") else "" - 824 return f"{no}FALLBACK{protection}" - 825 - 826 def journalproperty_sql(self, expression: exp.JournalProperty) -> str: - 827 no = "NO " if expression.args.get("no") else "" - 828 dual = "DUAL " if expression.args.get("dual") else "" - 829 before = "BEFORE " if expression.args.get("before") else "" - 830 return f"{no}{dual}{before}JOURNAL" - 831 - 832 def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str: - 833 freespace = self.sql(expression, "this") - 834 percent = " PERCENT" if expression.args.get("percent") else "" - 835 return f"FREESPACE={freespace}{percent}" - 836 - 837 def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str: - 838 no = "NO " if expression.args.get("no") else "" - 839 dual = "DUAL " if expression.args.get("dual") else "" - 840 local = "" - 841 if expression.args.get("local") is not None: - 842 local = "LOCAL " if expression.args.get("local") else "NOT LOCAL " - 843 return f"{no}{dual}{local}AFTER JOURNAL" - 844 - 845 def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str: - 846 if expression.args.get("default"): - 847 property = "DEFAULT" - 848 elif expression.args.get("on"): - 849 property = "ON" - 850 else: - 851 property = "OFF" - 852 return f"CHECKSUM={property}" - 853 - 854 def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str: - 855 if expression.args.get("no"): - 856 return "NO MERGEBLOCKRATIO" - 857 if expression.args.get("default"): - 858 return "DEFAULT MERGEBLOCKRATIO" - 859 - 860 percent = " PERCENT" if expression.args.get("percent") else "" - 861 return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}" - 862 - 863 def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str: - 864 default = expression.args.get("default") - 865 min = expression.args.get("min") - 866 if default is not None or min is not None: - 867 if default: - 868 property = "DEFAULT" - 869 elif min: - 870 property = "MINIMUM" - 871 else: - 872 property = "MAXIMUM" - 873 return f"{property} DATABLOCKSIZE" - 874 else: - 875 units = expression.args.get("units") - 876 units = f" {units}" if units else "" - 877 return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}" - 878 - 879 def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str: - 880 autotemp = expression.args.get("autotemp") - 881 always = expression.args.get("always") - 882 default = expression.args.get("default") - 883 manual = expression.args.get("manual") - 884 never = expression.args.get("never") + 821 return f"{property_name}={self.sql(expression, 'this')}" + 822 + 823 def likeproperty_sql(self, expression: exp.LikeProperty) -> str: + 824 options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions) + 825 options = f" {options}" if options else "" + 826 return f"LIKE {self.sql(expression, 'this')}{options}" + 827 + 828 def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str: + 829 no = "NO " if expression.args.get("no") else "" + 830 protection = " PROTECTION" if expression.args.get("protection") else "" + 831 return f"{no}FALLBACK{protection}" + 832 + 833 def journalproperty_sql(self, expression: exp.JournalProperty) -> str: + 834 no = "NO " if expression.args.get("no") else "" + 835 dual = "DUAL " if expression.args.get("dual") else "" + 836 before = "BEFORE " if expression.args.get("before") else "" + 837 return f"{no}{dual}{before}JOURNAL" + 838 + 839 def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str: + 840 freespace = self.sql(expression, "this") + 841 percent = " PERCENT" if expression.args.get("percent") else "" + 842 return f"FREESPACE={freespace}{percent}" + 843 + 844 def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str: + 845 no = "NO " if expression.args.get("no") else "" + 846 dual = "DUAL " if expression.args.get("dual") else "" + 847 local = "" + 848 if expression.args.get("local") is not None: + 849 local = "LOCAL " if expression.args.get("local") else "NOT LOCAL " + 850 return f"{no}{dual}{local}AFTER JOURNAL" + 851 + 852 def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str: + 853 if expression.args.get("default"): + 854 property = "DEFAULT" + 855 elif expression.args.get("on"): + 856 property = "ON" + 857 else: + 858 property = "OFF" + 859 return f"CHECKSUM={property}" + 860 + 861 def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str: + 862 if expression.args.get("no"): + 863 return "NO MERGEBLOCKRATIO" + 864 if expression.args.get("default"): + 865 return "DEFAULT MERGEBLOCKRATIO" + 866 + 867 percent = " PERCENT" if expression.args.get("percent") else "" + 868 return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}" + 869 + 870 def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str: + 871 default = expression.args.get("default") + 872 min = expression.args.get("min") + 873 if default is not None or min is not None: + 874 if default: + 875 property = "DEFAULT" + 876 elif min: + 877 property = "MINIMUM" + 878 else: + 879 property = "MAXIMUM" + 880 return f"{property} DATABLOCKSIZE" + 881 else: + 882 units = expression.args.get("units") + 883 units = f" {units}" if units else "" + 884 return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}" 885 - 886 if autotemp is not None: - 887 property = f"AUTOTEMP({self.expressions(autotemp)})" - 888 elif always: - 889 property = "ALWAYS" - 890 elif default: - 891 property = "DEFAULT" - 892 elif manual: - 893 property = "MANUAL" - 894 elif never: - 895 property = "NEVER" - 896 return f"BLOCKCOMPRESSION={property}" - 897 - 898 def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str: - 899 no = expression.args.get("no") - 900 no = " NO" if no else "" - 901 concurrent = expression.args.get("concurrent") - 902 concurrent = " CONCURRENT" if concurrent else "" - 903 - 904 for_ = "" - 905 if expression.args.get("for_all"): - 906 for_ = " FOR ALL" - 907 elif expression.args.get("for_insert"): - 908 for_ = " FOR INSERT" - 909 elif expression.args.get("for_none"): - 910 for_ = " FOR NONE" - 911 return f"WITH{no}{concurrent} ISOLATED LOADING{for_}" - 912 - 913 def lockingproperty_sql(self, expression: exp.LockingProperty) -> str: - 914 kind = expression.args.get("kind") - 915 this: str = f" {this}" if expression.this else "" - 916 for_or_in = expression.args.get("for_or_in") - 917 lock_type = expression.args.get("lock_type") - 918 override = " OVERRIDE" if expression.args.get("override") else "" - 919 return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}" - 920 - 921 def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str: - 922 data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA" - 923 statistics = expression.args.get("statistics") - 924 statistics_sql = "" - 925 if statistics is not None: - 926 statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS" - 927 return f"{data_sql}{statistics_sql}" - 928 - 929 def insert_sql(self, expression: exp.Insert) -> str: - 930 overwrite = expression.args.get("overwrite") - 931 - 932 if isinstance(expression.this, exp.Directory): - 933 this = "OVERWRITE " if overwrite else "INTO " - 934 else: - 935 this = "OVERWRITE TABLE " if overwrite else "INTO " - 936 - 937 alternative = expression.args.get("alternative") - 938 alternative = f" OR {alternative} " if alternative else " " - 939 this = f"{this}{self.sql(expression, 'this')}" - 940 - 941 exists = " IF EXISTS " if expression.args.get("exists") else " " - 942 partition_sql = ( - 943 self.sql(expression, "partition") if expression.args.get("partition") else "" - 944 ) - 945 expression_sql = self.sql(expression, "expression") - 946 sep = self.sep() if partition_sql else "" - 947 sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}" - 948 return self.prepend_ctes(expression, sql) - 949 - 950 def intersect_sql(self, expression: exp.Intersect) -> str: - 951 return self.prepend_ctes( - 952 expression, - 953 self.set_operation(expression, self.intersect_op(expression)), - 954 ) - 955 - 956 def intersect_op(self, expression: exp.Intersect) -> str: - 957 return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}" - 958 - 959 def introducer_sql(self, expression: exp.Introducer) -> str: - 960 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" - 961 - 962 def pseudotype_sql(self, expression: exp.PseudoType) -> str: - 963 return expression.name.upper() - 964 - 965 def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str: - 966 fields = expression.args.get("fields") - 967 fields = f" FIELDS TERMINATED BY {fields}" if fields else "" - 968 escaped = expression.args.get("escaped") - 969 escaped = f" ESCAPED BY {escaped}" if escaped else "" - 970 items = expression.args.get("collection_items") - 971 items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else "" - 972 keys = expression.args.get("map_keys") - 973 keys = f" MAP KEYS TERMINATED BY {keys}" if keys else "" - 974 lines = expression.args.get("lines") - 975 lines = f" LINES TERMINATED BY {lines}" if lines else "" - 976 null = expression.args.get("null") - 977 null = f" NULL DEFINED AS {null}" if null else "" - 978 return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}" - 979 - 980 def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str: - 981 table = ".".join( - 982 part - 983 for part in [ - 984 self.sql(expression, "catalog"), - 985 self.sql(expression, "db"), - 986 self.sql(expression, "this"), - 987 ] - 988 if part - 989 ) - 990 - 991 alias = self.sql(expression, "alias") - 992 alias = f"{sep}{alias}" if alias else "" - 993 hints = self.expressions(expression, key="hints", sep=", ", flat=True) - 994 hints = f" WITH ({hints})" if hints else "" - 995 laterals = self.expressions(expression, key="laterals", sep="") - 996 joins = self.expressions(expression, key="joins", sep="") - 997 pivots = self.expressions(expression, key="pivots", sep="") - 998 system_time = expression.args.get("system_time") - 999 system_time = f" {self.sql(expression, 'system_time')}" if system_time else "" -1000 -1001 return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}" -1002 -1003 def tablesample_sql(self, expression: exp.TableSample) -> str: -1004 if self.alias_post_tablesample and expression.this.alias: -1005 this = self.sql(expression.this, "this") -1006 alias = f" AS {self.sql(expression.this, 'alias')}" -1007 else: -1008 this = self.sql(expression, "this") -1009 alias = "" -1010 method = self.sql(expression, "method") -1011 method = f" {method.upper()} " if method else "" -1012 numerator = self.sql(expression, "bucket_numerator") -1013 denominator = self.sql(expression, "bucket_denominator") -1014 field = self.sql(expression, "bucket_field") -1015 field = f" ON {field}" if field else "" -1016 bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else "" -1017 percent = self.sql(expression, "percent") -1018 percent = f"{percent} PERCENT" if percent else "" -1019 rows = self.sql(expression, "rows") -1020 rows = f"{rows} ROWS" if rows else "" -1021 size = self.sql(expression, "size") -1022 seed = self.sql(expression, "seed") -1023 seed = f" SEED ({seed})" if seed else "" -1024 return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}" -1025 -1026 def pivot_sql(self, expression: exp.Pivot) -> str: -1027 this = self.sql(expression, "this") -1028 alias = self.sql(expression, "alias") -1029 alias = f" AS {alias}" if alias else "" -1030 unpivot = expression.args.get("unpivot") -1031 direction = "UNPIVOT" if unpivot else "PIVOT" -1032 expressions = self.expressions(expression, key="expressions") -1033 field = self.sql(expression, "field") -1034 return f"{this} {direction}({expressions} FOR {field}){alias}" -1035 -1036 def tuple_sql(self, expression: exp.Tuple) -> str: -1037 return f"({self.expressions(expression, flat=True)})" -1038 -1039 def update_sql(self, expression: exp.Update) -> str: -1040 this = self.sql(expression, "this") -1041 set_sql = self.expressions(expression, flat=True) -1042 from_sql = self.sql(expression, "from") -1043 where_sql = self.sql(expression, "where") -1044 sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}" -1045 return self.prepend_ctes(expression, sql) -1046 -1047 def values_sql(self, expression: exp.Values) -> str: -1048 args = self.expressions(expression) -1049 alias = self.sql(expression, "alias") -1050 values = f"VALUES{self.seg('')}{args}" -1051 values = ( -1052 f"({values})" -1053 if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From)) -1054 else values -1055 ) -1056 return f"{values} AS {alias}" if alias else values -1057 -1058 def var_sql(self, expression: exp.Var) -> str: -1059 return self.sql(expression, "this") -1060 -1061 def into_sql(self, expression: exp.Into) -> str: -1062 temporary = " TEMPORARY" if expression.args.get("temporary") else "" -1063 unlogged = " UNLOGGED" if expression.args.get("unlogged") else "" -1064 return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}" -1065 -1066 def from_sql(self, expression: exp.From) -> str: -1067 expressions = self.expressions(expression, flat=True) -1068 return f"{self.seg('FROM')} {expressions}" -1069 -1070 def group_sql(self, expression: exp.Group) -> str: -1071 group_by = self.op_expressions("GROUP BY", expression) -1072 grouping_sets = self.expressions(expression, key="grouping_sets", indent=False) -1073 grouping_sets = ( -1074 f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else "" -1075 ) + 886 def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str: + 887 autotemp = expression.args.get("autotemp") + 888 always = expression.args.get("always") + 889 default = expression.args.get("default") + 890 manual = expression.args.get("manual") + 891 never = expression.args.get("never") + 892 + 893 if autotemp is not None: + 894 property = f"AUTOTEMP({self.expressions(autotemp)})" + 895 elif always: + 896 property = "ALWAYS" + 897 elif default: + 898 property = "DEFAULT" + 899 elif manual: + 900 property = "MANUAL" + 901 elif never: + 902 property = "NEVER" + 903 return f"BLOCKCOMPRESSION={property}" + 904 + 905 def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str: + 906 no = expression.args.get("no") + 907 no = " NO" if no else "" + 908 concurrent = expression.args.get("concurrent") + 909 concurrent = " CONCURRENT" if concurrent else "" + 910 + 911 for_ = "" + 912 if expression.args.get("for_all"): + 913 for_ = " FOR ALL" + 914 elif expression.args.get("for_insert"): + 915 for_ = " FOR INSERT" + 916 elif expression.args.get("for_none"): + 917 for_ = " FOR NONE" + 918 return f"WITH{no}{concurrent} ISOLATED LOADING{for_}" + 919 + 920 def lockingproperty_sql(self, expression: exp.LockingProperty) -> str: + 921 kind = expression.args.get("kind") + 922 this: str = f" {this}" if expression.this else "" + 923 for_or_in = expression.args.get("for_or_in") + 924 lock_type = expression.args.get("lock_type") + 925 override = " OVERRIDE" if expression.args.get("override") else "" + 926 return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}" + 927 + 928 def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str: + 929 data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA" + 930 statistics = expression.args.get("statistics") + 931 statistics_sql = "" + 932 if statistics is not None: + 933 statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS" + 934 return f"{data_sql}{statistics_sql}" + 935 + 936 def insert_sql(self, expression: exp.Insert) -> str: + 937 overwrite = expression.args.get("overwrite") + 938 + 939 if isinstance(expression.this, exp.Directory): + 940 this = "OVERWRITE " if overwrite else "INTO " + 941 else: + 942 this = "OVERWRITE TABLE " if overwrite else "INTO " + 943 + 944 alternative = expression.args.get("alternative") + 945 alternative = f" OR {alternative} " if alternative else " " + 946 this = f"{this}{self.sql(expression, 'this')}" + 947 + 948 exists = " IF EXISTS " if expression.args.get("exists") else " " + 949 partition_sql = ( + 950 self.sql(expression, "partition") if expression.args.get("partition") else "" + 951 ) + 952 expression_sql = self.sql(expression, "expression") + 953 sep = self.sep() if partition_sql else "" + 954 sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}" + 955 return self.prepend_ctes(expression, sql) + 956 + 957 def intersect_sql(self, expression: exp.Intersect) -> str: + 958 return self.prepend_ctes( + 959 expression, + 960 self.set_operation(expression, self.intersect_op(expression)), + 961 ) + 962 + 963 def intersect_op(self, expression: exp.Intersect) -> str: + 964 return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}" + 965 + 966 def introducer_sql(self, expression: exp.Introducer) -> str: + 967 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" + 968 + 969 def pseudotype_sql(self, expression: exp.PseudoType) -> str: + 970 return expression.name.upper() + 971 + 972 def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str: + 973 fields = expression.args.get("fields") + 974 fields = f" FIELDS TERMINATED BY {fields}" if fields else "" + 975 escaped = expression.args.get("escaped") + 976 escaped = f" ESCAPED BY {escaped}" if escaped else "" + 977 items = expression.args.get("collection_items") + 978 items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else "" + 979 keys = expression.args.get("map_keys") + 980 keys = f" MAP KEYS TERMINATED BY {keys}" if keys else "" + 981 lines = expression.args.get("lines") + 982 lines = f" LINES TERMINATED BY {lines}" if lines else "" + 983 null = expression.args.get("null") + 984 null = f" NULL DEFINED AS {null}" if null else "" + 985 return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}" + 986 + 987 def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str: + 988 table = ".".join( + 989 part + 990 for part in [ + 991 self.sql(expression, "catalog"), + 992 self.sql(expression, "db"), + 993 self.sql(expression, "this"), + 994 ] + 995 if part + 996 ) + 997 + 998 alias = self.sql(expression, "alias") + 999 alias = f"{sep}{alias}" if alias else "" +1000 hints = self.expressions(expression, key="hints", sep=", ", flat=True) +1001 hints = f" WITH ({hints})" if hints else "" +1002 laterals = self.expressions(expression, key="laterals", sep="") +1003 joins = self.expressions(expression, key="joins", sep="") +1004 pivots = self.expressions(expression, key="pivots", sep="") +1005 system_time = expression.args.get("system_time") +1006 system_time = f" {self.sql(expression, 'system_time')}" if system_time else "" +1007 +1008 return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}" +1009 +1010 def tablesample_sql(self, expression: exp.TableSample) -> str: +1011 if self.alias_post_tablesample and expression.this.alias: +1012 this = self.sql(expression.this, "this") +1013 alias = f" AS {self.sql(expression.this, 'alias')}" +1014 else: +1015 this = self.sql(expression, "this") +1016 alias = "" +1017 method = self.sql(expression, "method") +1018 method = f" {method.upper()} " if method else "" +1019 numerator = self.sql(expression, "bucket_numerator") +1020 denominator = self.sql(expression, "bucket_denominator") +1021 field = self.sql(expression, "bucket_field") +1022 field = f" ON {field}" if field else "" +1023 bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else "" +1024 percent = self.sql(expression, "percent") +1025 percent = f"{percent} PERCENT" if percent else "" +1026 rows = self.sql(expression, "rows") +1027 rows = f"{rows} ROWS" if rows else "" +1028 size = self.sql(expression, "size") +1029 seed = self.sql(expression, "seed") +1030 seed = f" SEED ({seed})" if seed else "" +1031 return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}" +1032 +1033 def pivot_sql(self, expression: exp.Pivot) -> str: +1034 this = self.sql(expression, "this") +1035 alias = self.sql(expression, "alias") +1036 alias = f" AS {alias}" if alias else "" +1037 unpivot = expression.args.get("unpivot") +1038 direction = "UNPIVOT" if unpivot else "PIVOT" +1039 expressions = self.expressions(expression, key="expressions") +1040 field = self.sql(expression, "field") +1041 return f"{this} {direction}({expressions} FOR {field}){alias}" +1042 +1043 def tuple_sql(self, expression: exp.Tuple) -> str: +1044 return f"({self.expressions(expression, flat=True)})" +1045 +1046 def update_sql(self, expression: exp.Update) -> str: +1047 this = self.sql(expression, "this") +1048 set_sql = self.expressions(expression, flat=True) +1049 from_sql = self.sql(expression, "from") +1050 where_sql = self.sql(expression, "where") +1051 sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}" +1052 return self.prepend_ctes(expression, sql) +1053 +1054 def values_sql(self, expression: exp.Values) -> str: +1055 args = self.expressions(expression) +1056 alias = self.sql(expression, "alias") +1057 values = f"VALUES{self.seg('')}{args}" +1058 values = ( +1059 f"({values})" +1060 if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From)) +1061 else values +1062 ) +1063 return f"{values} AS {alias}" if alias else values +1064 +1065 def var_sql(self, expression: exp.Var) -> str: +1066 return self.sql(expression, "this") +1067 +1068 def into_sql(self, expression: exp.Into) -> str: +1069 temporary = " TEMPORARY" if expression.args.get("temporary") else "" +1070 unlogged = " UNLOGGED" if expression.args.get("unlogged") else "" +1071 return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}" +1072 +1073 def from_sql(self, expression: exp.From) -> str: +1074 expressions = self.expressions(expression, flat=True) +1075 return f"{self.seg('FROM')} {expressions}" 1076 -1077 cube = expression.args.get("cube", []) -1078 if seq_get(cube, 0) is True: -1079 return f"{group_by}{self.seg('WITH CUBE')}" -1080 else: -1081 cube_sql = self.expressions(expression, key="cube", indent=False) -1082 cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else "" +1077 def group_sql(self, expression: exp.Group) -> str: +1078 group_by = self.op_expressions("GROUP BY", expression) +1079 grouping_sets = self.expressions(expression, key="grouping_sets", indent=False) +1080 grouping_sets = ( +1081 f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else "" +1082 ) 1083 -1084 rollup = expression.args.get("rollup", []) -1085 if seq_get(rollup, 0) is True: -1086 return f"{group_by}{self.seg('WITH ROLLUP')}" +1084 cube = expression.args.get("cube", []) +1085 if seq_get(cube, 0) is True: +1086 return f"{group_by}{self.seg('WITH CUBE')}" 1087 else: -1088 rollup_sql = self.expressions(expression, key="rollup", indent=False) -1089 rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else "" +1088 cube_sql = self.expressions(expression, key="cube", indent=False) +1089 cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else "" 1090 -1091 groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",") -1092 -1093 if expression.args.get("expressions") and groupings: -1094 group_by = f"{group_by}," -1095 -1096 return f"{group_by}{groupings}" +1091 rollup = expression.args.get("rollup", []) +1092 if seq_get(rollup, 0) is True: +1093 return f"{group_by}{self.seg('WITH ROLLUP')}" +1094 else: +1095 rollup_sql = self.expressions(expression, key="rollup", indent=False) +1096 rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else "" 1097 -1098 def having_sql(self, expression: exp.Having) -> str: -1099 this = self.indent(self.sql(expression, "this")) -1100 return f"{self.seg('HAVING')}{self.sep()}{this}" -1101 -1102 def join_sql(self, expression: exp.Join) -> str: -1103 op_sql = self.seg( -1104 " ".join( -1105 op -1106 for op in ( -1107 "NATURAL" if expression.args.get("natural") else None, -1108 expression.side, -1109 expression.kind, -1110 "JOIN", -1111 ) -1112 if op -1113 ) -1114 ) -1115 on_sql = self.sql(expression, "on") -1116 using = expression.args.get("using") -1117 -1118 if not on_sql and using: -1119 on_sql = csv(*(self.sql(column) for column in using)) -1120 -1121 if on_sql: -1122 on_sql = self.indent(on_sql, skip_first=True) -1123 space = self.seg(" " * self.pad) if self.pretty else " " -1124 if using: -1125 on_sql = f"{space}USING ({on_sql})" -1126 else: -1127 on_sql = f"{space}ON {on_sql}" -1128 -1129 expression_sql = self.sql(expression, "expression") -1130 this_sql = self.sql(expression, "this") -1131 return f"{expression_sql}{op_sql} {this_sql}{on_sql}" -1132 -1133 def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str: -1134 args = self.expressions(expression, flat=True) -1135 args = f"({args})" if len(args.split(",")) > 1 else args -1136 return f"{args} {arrow_sep} {self.sql(expression, 'this')}" -1137 -1138 def lateral_sql(self, expression: exp.Lateral) -> str: -1139 this = self.sql(expression, "this") -1140 -1141 if isinstance(expression.this, exp.Subquery): -1142 return f"LATERAL {this}" -1143 -1144 if expression.args.get("view"): -1145 alias = expression.args["alias"] -1146 columns = self.expressions(alias, key="columns", flat=True) -1147 table = f" {alias.name}" if alias.name else "" -1148 columns = f" AS {columns}" if columns else "" -1149 op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}") -1150 return f"{op_sql}{self.sep()}{this}{table}{columns}" -1151 -1152 alias = self.sql(expression, "alias") -1153 alias = f" AS {alias}" if alias else "" -1154 return f"LATERAL {this}{alias}" -1155 -1156 def limit_sql(self, expression: exp.Limit) -> str: -1157 this = self.sql(expression, "this") -1158 return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}" -1159 -1160 def offset_sql(self, expression: exp.Offset) -> str: -1161 this = self.sql(expression, "this") -1162 return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}" -1163 -1164 def lock_sql(self, expression: exp.Lock) -> str: -1165 if self.LOCKING_READS_SUPPORTED: -1166 lock_type = "UPDATE" if expression.args["update"] else "SHARE" -1167 return self.seg(f"FOR {lock_type}") -1168 -1169 self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported") -1170 return "" -1171 -1172 def literal_sql(self, expression: exp.Literal) -> str: -1173 text = expression.this or "" -1174 if expression.is_string: -1175 text = text.replace(self.quote_end, self._escaped_quote_end) -1176 if self.pretty: -1177 text = text.replace("\n", self.SENTINEL_LINE_BREAK) -1178 text = f"{self.quote_start}{text}{self.quote_end}" -1179 return text -1180 -1181 def loaddata_sql(self, expression: exp.LoadData) -> str: -1182 local = " LOCAL" if expression.args.get("local") else "" -1183 inpath = f" INPATH {self.sql(expression, 'inpath')}" -1184 overwrite = " OVERWRITE" if expression.args.get("overwrite") else "" -1185 this = f" INTO TABLE {self.sql(expression, 'this')}" -1186 partition = self.sql(expression, "partition") -1187 partition = f" {partition}" if partition else "" -1188 input_format = self.sql(expression, "input_format") -1189 input_format = f" INPUTFORMAT {input_format}" if input_format else "" -1190 serde = self.sql(expression, "serde") -1191 serde = f" SERDE {serde}" if serde else "" -1192 return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}" -1193 -1194 def null_sql(self, *_) -> str: -1195 return "NULL" -1196 -1197 def boolean_sql(self, expression: exp.Boolean) -> str: -1198 return "TRUE" if expression.this else "FALSE" -1199 -1200 def order_sql(self, expression: exp.Order, flat: bool = False) -> str: -1201 this = self.sql(expression, "this") -1202 this = f"{this} " if this else this -1203 return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat) # type: ignore -1204 -1205 def cluster_sql(self, expression: exp.Cluster) -> str: -1206 return self.op_expressions("CLUSTER BY", expression) -1207 -1208 def distribute_sql(self, expression: exp.Distribute) -> str: -1209 return self.op_expressions("DISTRIBUTE BY", expression) -1210 -1211 def sort_sql(self, expression: exp.Sort) -> str: -1212 return self.op_expressions("SORT BY", expression) -1213 -1214 def ordered_sql(self, expression: exp.Ordered) -> str: -1215 desc = expression.args.get("desc") -1216 asc = not desc +1098 groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",") +1099 +1100 if expression.args.get("expressions") and groupings: +1101 group_by = f"{group_by}," +1102 +1103 return f"{group_by}{groupings}" +1104 +1105 def having_sql(self, expression: exp.Having) -> str: +1106 this = self.indent(self.sql(expression, "this")) +1107 return f"{self.seg('HAVING')}{self.sep()}{this}" +1108 +1109 def join_sql(self, expression: exp.Join) -> str: +1110 op_sql = self.seg( +1111 " ".join( +1112 op +1113 for op in ( +1114 "NATURAL" if expression.args.get("natural") else None, +1115 expression.side, +1116 expression.kind, +1117 "JOIN", +1118 ) +1119 if op +1120 ) +1121 ) +1122 on_sql = self.sql(expression, "on") +1123 using = expression.args.get("using") +1124 +1125 if not on_sql and using: +1126 on_sql = csv(*(self.sql(column) for column in using)) +1127 +1128 if on_sql: +1129 on_sql = self.indent(on_sql, skip_first=True) +1130 space = self.seg(" " * self.pad) if self.pretty else " " +1131 if using: +1132 on_sql = f"{space}USING ({on_sql})" +1133 else: +1134 on_sql = f"{space}ON {on_sql}" +1135 +1136 expression_sql = self.sql(expression, "expression") +1137 this_sql = self.sql(expression, "this") +1138 return f"{expression_sql}{op_sql} {this_sql}{on_sql}" +1139 +1140 def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str: +1141 args = self.expressions(expression, flat=True) +1142 args = f"({args})" if len(args.split(",")) > 1 else args +1143 return f"{args} {arrow_sep} {self.sql(expression, 'this')}" +1144 +1145 def lateral_sql(self, expression: exp.Lateral) -> str: +1146 this = self.sql(expression, "this") +1147 +1148 if isinstance(expression.this, exp.Subquery): +1149 return f"LATERAL {this}" +1150 +1151 if expression.args.get("view"): +1152 alias = expression.args["alias"] +1153 columns = self.expressions(alias, key="columns", flat=True) +1154 table = f" {alias.name}" if alias.name else "" +1155 columns = f" AS {columns}" if columns else "" +1156 op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}") +1157 return f"{op_sql}{self.sep()}{this}{table}{columns}" +1158 +1159 alias = self.sql(expression, "alias") +1160 alias = f" AS {alias}" if alias else "" +1161 return f"LATERAL {this}{alias}" +1162 +1163 def limit_sql(self, expression: exp.Limit) -> str: +1164 this = self.sql(expression, "this") +1165 return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}" +1166 +1167 def offset_sql(self, expression: exp.Offset) -> str: +1168 this = self.sql(expression, "this") +1169 return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}" +1170 +1171 def lock_sql(self, expression: exp.Lock) -> str: +1172 if self.LOCKING_READS_SUPPORTED: +1173 lock_type = "UPDATE" if expression.args["update"] else "SHARE" +1174 return self.seg(f"FOR {lock_type}") +1175 +1176 self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported") +1177 return "" +1178 +1179 def literal_sql(self, expression: exp.Literal) -> str: +1180 text = expression.this or "" +1181 if expression.is_string: +1182 text = text.replace(self.quote_end, self._escaped_quote_end) +1183 if self.pretty: +1184 text = text.replace("\n", self.SENTINEL_LINE_BREAK) +1185 text = f"{self.quote_start}{text}{self.quote_end}" +1186 return text +1187 +1188 def loaddata_sql(self, expression: exp.LoadData) -> str: +1189 local = " LOCAL" if expression.args.get("local") else "" +1190 inpath = f" INPATH {self.sql(expression, 'inpath')}" +1191 overwrite = " OVERWRITE" if expression.args.get("overwrite") else "" +1192 this = f" INTO TABLE {self.sql(expression, 'this')}" +1193 partition = self.sql(expression, "partition") +1194 partition = f" {partition}" if partition else "" +1195 input_format = self.sql(expression, "input_format") +1196 input_format = f" INPUTFORMAT {input_format}" if input_format else "" +1197 serde = self.sql(expression, "serde") +1198 serde = f" SERDE {serde}" if serde else "" +1199 return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}" +1200 +1201 def null_sql(self, *_) -> str: +1202 return "NULL" +1203 +1204 def boolean_sql(self, expression: exp.Boolean) -> str: +1205 return "TRUE" if expression.this else "FALSE" +1206 +1207 def order_sql(self, expression: exp.Order, flat: bool = False) -> str: +1208 this = self.sql(expression, "this") +1209 this = f"{this} " if this else this +1210 return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat) # type: ignore +1211 +1212 def cluster_sql(self, expression: exp.Cluster) -> str: +1213 return self.op_expressions("CLUSTER BY", expression) +1214 +1215 def distribute_sql(self, expression: exp.Distribute) -> str: +1216 return self.op_expressions("DISTRIBUTE BY", expression) 1217 -1218 nulls_first = expression.args.get("nulls_first") -1219 nulls_last = not nulls_first -1220 nulls_are_large = self.null_ordering == "nulls_are_large" -1221 nulls_are_small = self.null_ordering == "nulls_are_small" -1222 nulls_are_last = self.null_ordering == "nulls_are_last" -1223 -1224 sort_order = " DESC" if desc else "" -1225 nulls_sort_change = "" -1226 if nulls_first and ( -1227 (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last -1228 ): -1229 nulls_sort_change = " NULLS FIRST" -1230 elif ( -1231 nulls_last -1232 and ((asc and nulls_are_small) or (desc and nulls_are_large)) -1233 and not nulls_are_last -1234 ): -1235 nulls_sort_change = " NULLS LAST" -1236 -1237 if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED: -1238 self.unsupported( -1239 "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect" -1240 ) -1241 nulls_sort_change = "" -1242 -1243 return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}" -1244 -1245 def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str: -1246 partition = self.partition_by_sql(expression) -1247 order = self.sql(expression, "order") -1248 measures = self.sql(expression, "measures") -1249 measures = self.seg(f"MEASURES {measures}") if measures else "" -1250 rows = self.sql(expression, "rows") -1251 rows = self.seg(rows) if rows else "" -1252 after = self.sql(expression, "after") -1253 after = self.seg(after) if after else "" -1254 pattern = self.sql(expression, "pattern") -1255 pattern = self.seg(f"PATTERN ({pattern})") if pattern else "" -1256 define = self.sql(expression, "define") -1257 define = self.seg(f"DEFINE {define}") if define else "" -1258 body = "".join( -1259 ( -1260 partition, -1261 order, -1262 measures, -1263 rows, -1264 after, -1265 pattern, -1266 define, -1267 ) -1268 ) -1269 return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}" -1270 -1271 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: -1272 return csv( -1273 *sqls, -1274 *[self.sql(sql) for sql in expression.args.get("joins") or []], -1275 self.sql(expression, "match"), -1276 *[self.sql(sql) for sql in expression.args.get("laterals") or []], -1277 self.sql(expression, "where"), -1278 self.sql(expression, "group"), -1279 self.sql(expression, "having"), -1280 self.sql(expression, "qualify"), -1281 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) -1282 if expression.args.get("windows") -1283 else "", -1284 self.sql(expression, "distribute"), -1285 self.sql(expression, "sort"), -1286 self.sql(expression, "cluster"), -1287 self.sql(expression, "order"), -1288 self.sql(expression, "limit"), -1289 self.sql(expression, "offset"), -1290 self.sql(expression, "lock"), -1291 sep="", -1292 ) -1293 -1294 def select_sql(self, expression: exp.Select) -> str: -1295 hint = self.sql(expression, "hint") -1296 distinct = self.sql(expression, "distinct") -1297 distinct = f" {distinct}" if distinct else "" -1298 expressions = self.expressions(expression) -1299 expressions = f"{self.sep()}{expressions}" if expressions else expressions -1300 sql = self.query_modifiers( -1301 expression, -1302 f"SELECT{hint}{distinct}{expressions}", -1303 self.sql(expression, "into", comment=False), -1304 self.sql(expression, "from", comment=False), -1305 ) -1306 return self.prepend_ctes(expression, sql) -1307 -1308 def schema_sql(self, expression: exp.Schema) -> str: -1309 this = self.sql(expression, "this") -1310 this = f"{this} " if this else "" -1311 sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}" -1312 return f"{this}{sql}" -1313 -1314 def star_sql(self, expression: exp.Star) -> str: -1315 except_ = self.expressions(expression, key="except", flat=True) -1316 except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else "" -1317 replace = self.expressions(expression, key="replace", flat=True) -1318 replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else "" -1319 return f"*{except_}{replace}" +1218 def sort_sql(self, expression: exp.Sort) -> str: +1219 return self.op_expressions("SORT BY", expression) +1220 +1221 def ordered_sql(self, expression: exp.Ordered) -> str: +1222 desc = expression.args.get("desc") +1223 asc = not desc +1224 +1225 nulls_first = expression.args.get("nulls_first") +1226 nulls_last = not nulls_first +1227 nulls_are_large = self.null_ordering == "nulls_are_large" +1228 nulls_are_small = self.null_ordering == "nulls_are_small" +1229 nulls_are_last = self.null_ordering == "nulls_are_last" +1230 +1231 sort_order = " DESC" if desc else "" +1232 nulls_sort_change = "" +1233 if nulls_first and ( +1234 (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last +1235 ): +1236 nulls_sort_change = " NULLS FIRST" +1237 elif ( +1238 nulls_last +1239 and ((asc and nulls_are_small) or (desc and nulls_are_large)) +1240 and not nulls_are_last +1241 ): +1242 nulls_sort_change = " NULLS LAST" +1243 +1244 if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED: +1245 self.unsupported( +1246 "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect" +1247 ) +1248 nulls_sort_change = "" +1249 +1250 return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}" +1251 +1252 def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str: +1253 partition = self.partition_by_sql(expression) +1254 order = self.sql(expression, "order") +1255 measures = self.sql(expression, "measures") +1256 measures = self.seg(f"MEASURES {measures}") if measures else "" +1257 rows = self.sql(expression, "rows") +1258 rows = self.seg(rows) if rows else "" +1259 after = self.sql(expression, "after") +1260 after = self.seg(after) if after else "" +1261 pattern = self.sql(expression, "pattern") +1262 pattern = self.seg(f"PATTERN ({pattern})") if pattern else "" +1263 define = self.sql(expression, "define") +1264 define = self.seg(f"DEFINE {define}") if define else "" +1265 body = "".join( +1266 ( +1267 partition, +1268 order, +1269 measures, +1270 rows, +1271 after, +1272 pattern, +1273 define, +1274 ) +1275 ) +1276 return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}" +1277 +1278 def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str: +1279 return csv( +1280 *sqls, +1281 *[self.sql(sql) for sql in expression.args.get("joins") or []], +1282 self.sql(expression, "match"), +1283 *[self.sql(sql) for sql in expression.args.get("laterals") or []], +1284 self.sql(expression, "where"), +1285 self.sql(expression, "group"), +1286 self.sql(expression, "having"), +1287 self.sql(expression, "qualify"), +1288 self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True) +1289 if expression.args.get("windows") +1290 else "", +1291 self.sql(expression, "distribute"), +1292 self.sql(expression, "sort"), +1293 self.sql(expression, "cluster"), +1294 self.sql(expression, "order"), +1295 self.sql(expression, "limit"), +1296 self.sql(expression, "offset"), +1297 self.sql(expression, "lock"), +1298 sep="", +1299 ) +1300 +1301 def select_sql(self, expression: exp.Select) -> str: +1302 hint = self.sql(expression, "hint") +1303 distinct = self.sql(expression, "distinct") +1304 distinct = f" {distinct}" if distinct else "" +1305 expressions = self.expressions(expression) +1306 expressions = f"{self.sep()}{expressions}" if expressions else expressions +1307 sql = self.query_modifiers( +1308 expression, +1309 f"SELECT{hint}{distinct}{expressions}", +1310 self.sql(expression, "into", comment=False), +1311 self.sql(expression, "from", comment=False), +1312 ) +1313 return self.prepend_ctes(expression, sql) +1314 +1315 def schema_sql(self, expression: exp.Schema) -> str: +1316 this = self.sql(expression, "this") +1317 this = f"{this} " if this else "" +1318 sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}" +1319 return f"{this}{sql}" 1320 -1321 def structkwarg_sql(self, expression: exp.StructKwarg) -> str: -1322 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" -1323 -1324 def parameter_sql(self, expression: exp.Parameter) -> str: -1325 this = self.sql(expression, "this") -1326 this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}" -1327 return f"{self.PARAMETER_TOKEN}{this}" -1328 -1329 def sessionparameter_sql(self, expression: exp.SessionParameter) -> str: -1330 this = self.sql(expression, "this") -1331 kind = expression.text("kind") -1332 if kind: -1333 kind = f"{kind}." -1334 return f"@@{kind}{this}" +1321 def star_sql(self, expression: exp.Star) -> str: +1322 except_ = self.expressions(expression, key="except", flat=True) +1323 except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else "" +1324 replace = self.expressions(expression, key="replace", flat=True) +1325 replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else "" +1326 return f"*{except_}{replace}" +1327 +1328 def structkwarg_sql(self, expression: exp.StructKwarg) -> str: +1329 return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}" +1330 +1331 def parameter_sql(self, expression: exp.Parameter) -> str: +1332 this = self.sql(expression, "this") +1333 this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}" +1334 return f"{self.PARAMETER_TOKEN}{this}" 1335 -1336 def placeholder_sql(self, expression: exp.Placeholder) -> str: -1337 return f":{expression.name}" if expression.name else "?" -1338 -1339 def subquery_sql(self, expression: exp.Subquery) -> str: -1340 alias = self.sql(expression, "alias") -1341 -1342 sql = self.query_modifiers( -1343 expression, -1344 self.wrap(expression), -1345 self.expressions(expression, key="pivots", sep=" "), -1346 f" AS {alias}" if alias else "", -1347 ) -1348 -1349 return self.prepend_ctes(expression, sql) -1350 -1351 def qualify_sql(self, expression: exp.Qualify) -> str: -1352 this = self.indent(self.sql(expression, "this")) -1353 return f"{self.seg('QUALIFY')}{self.sep()}{this}" -1354 -1355 def union_sql(self, expression: exp.Union) -> str: -1356 return self.prepend_ctes( -1357 expression, -1358 self.set_operation(expression, self.union_op(expression)), -1359 ) -1360 -1361 def union_op(self, expression: exp.Union) -> str: -1362 kind = " DISTINCT" if self.EXPLICIT_UNION else "" -1363 kind = kind if expression.args.get("distinct") else " ALL" -1364 return f"UNION{kind}" -1365 -1366 def unnest_sql(self, expression: exp.Unnest) -> str: -1367 args = self.expressions(expression, flat=True) -1368 alias = expression.args.get("alias") -1369 if alias and self.unnest_column_only: -1370 columns = alias.columns -1371 alias = self.sql(columns[0]) if columns else "" -1372 else: -1373 alias = self.sql(expression, "alias") -1374 alias = f" AS {alias}" if alias else alias -1375 ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else "" -1376 offset = expression.args.get("offset") -1377 offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else "" -1378 return f"UNNEST({args}){ordinality}{alias}{offset}" -1379 -1380 def where_sql(self, expression: exp.Where) -> str: -1381 this = self.indent(self.sql(expression, "this")) -1382 return f"{self.seg('WHERE')}{self.sep()}{this}" -1383 -1384 def window_sql(self, expression: exp.Window) -> str: -1385 this = self.sql(expression, "this") -1386 -1387 partition = self.partition_by_sql(expression) -1388 -1389 order = expression.args.get("order") -1390 order_sql = self.order_sql(order, flat=True) if order else "" +1336 def sessionparameter_sql(self, expression: exp.SessionParameter) -> str: +1337 this = self.sql(expression, "this") +1338 kind = expression.text("kind") +1339 if kind: +1340 kind = f"{kind}." +1341 return f"@@{kind}{this}" +1342 +1343 def placeholder_sql(self, expression: exp.Placeholder) -> str: +1344 return f":{expression.name}" if expression.name else "?" +1345 +1346 def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str: +1347 alias = self.sql(expression, "alias") +1348 alias = f"{sep}{alias}" if alias else "" +1349 +1350 sql = self.query_modifiers( +1351 expression, +1352 self.wrap(expression), +1353 self.expressions(expression, key="pivots", sep=" "), +1354 alias, +1355 ) +1356 +1357 return self.prepend_ctes(expression, sql) +1358 +1359 def qualify_sql(self, expression: exp.Qualify) -> str: +1360 this = self.indent(self.sql(expression, "this")) +1361 return f"{self.seg('QUALIFY')}{self.sep()}{this}" +1362 +1363 def union_sql(self, expression: exp.Union) -> str: +1364 return self.prepend_ctes( +1365 expression, +1366 self.set_operation(expression, self.union_op(expression)), +1367 ) +1368 +1369 def union_op(self, expression: exp.Union) -> str: +1370 kind = " DISTINCT" if self.EXPLICIT_UNION else "" +1371 kind = kind if expression.args.get("distinct") else " ALL" +1372 return f"UNION{kind}" +1373 +1374 def unnest_sql(self, expression: exp.Unnest) -> str: +1375 args = self.expressions(expression, flat=True) +1376 alias = expression.args.get("alias") +1377 if alias and self.unnest_column_only: +1378 columns = alias.columns +1379 alias = self.sql(columns[0]) if columns else "" +1380 else: +1381 alias = self.sql(expression, "alias") +1382 alias = f" AS {alias}" if alias else alias +1383 ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else "" +1384 offset = expression.args.get("offset") +1385 offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else "" +1386 return f"UNNEST({args}){ordinality}{alias}{offset}" +1387 +1388 def where_sql(self, expression: exp.Where) -> str: +1389 this = self.indent(self.sql(expression, "this")) +1390 return f"{self.seg('WHERE')}{self.sep()}{this}" 1391 -1392 partition_sql = partition + " " if partition and order else partition -1393 -1394 spec = expression.args.get("spec") -1395 spec_sql = " " + self.window_spec_sql(spec) if spec else "" +1392 def window_sql(self, expression: exp.Window) -> str: +1393 this = self.sql(expression, "this") +1394 +1395 partition = self.partition_by_sql(expression) 1396 -1397 alias = self.sql(expression, "alias") -1398 this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}" +1397 order = expression.args.get("order") +1398 order_sql = self.order_sql(order, flat=True) if order else "" 1399 -1400 if not partition and not order and not spec and alias: -1401 return f"{this} {alias}" -1402 -1403 window_args = alias + partition_sql + order_sql + spec_sql +1400 partition_sql = partition + " " if partition and order else partition +1401 +1402 spec = expression.args.get("spec") +1403 spec_sql = " " + self.window_spec_sql(spec) if spec else "" 1404 -1405 return f"{this} ({window_args.strip()})" -1406 -1407 def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str: -1408 partition = self.expressions(expression, key="partition_by", flat=True) -1409 return f"PARTITION BY {partition}" if partition else "" +1405 alias = self.sql(expression, "alias") +1406 this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}" +1407 +1408 if not partition and not order and not spec and alias: +1409 return f"{this} {alias}" 1410 -1411 def window_spec_sql(self, expression: exp.WindowSpec) -> str: -1412 kind = self.sql(expression, "kind") -1413 start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ") -1414 end = ( -1415 csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ") -1416 or "CURRENT ROW" -1417 ) -1418 return f"{kind} BETWEEN {start} AND {end}" -1419 -1420 def withingroup_sql(self, expression: exp.WithinGroup) -> str: -1421 this = self.sql(expression, "this") -1422 expression_sql = self.sql(expression, "expression")[1:] # order has a leading space -1423 return f"{this} WITHIN GROUP ({expression_sql})" -1424 -1425 def between_sql(self, expression: exp.Between) -> str: -1426 this = self.sql(expression, "this") -1427 low = self.sql(expression, "low") -1428 high = self.sql(expression, "high") -1429 return f"{this} BETWEEN {low} AND {high}" -1430 -1431 def bracket_sql(self, expression: exp.Bracket) -> str: -1432 expressions = apply_index_offset(expression.expressions, self.index_offset) -1433 expressions_sql = ", ".join(self.sql(e) for e in expressions) -1434 -1435 return f"{self.sql(expression, 'this')}[{expressions_sql}]" -1436 -1437 def all_sql(self, expression: exp.All) -> str: -1438 return f"ALL {self.wrap(expression)}" -1439 -1440 def any_sql(self, expression: exp.Any) -> str: -1441 this = self.sql(expression, "this") -1442 if isinstance(expression.this, exp.Subqueryable): -1443 this = self.wrap(this) -1444 return f"ANY {this}" -1445 -1446 def exists_sql(self, expression: exp.Exists) -> str: -1447 return f"EXISTS{self.wrap(expression)}" -1448 -1449 def case_sql(self, expression: exp.Case) -> str: -1450 this = self.sql(expression, "this") -1451 statements = [f"CASE {this}" if this else "CASE"] -1452 -1453 for e in expression.args["ifs"]: -1454 statements.append(f"WHEN {self.sql(e, 'this')}") -1455 statements.append(f"THEN {self.sql(e, 'true')}") +1411 window_args = alias + partition_sql + order_sql + spec_sql +1412 +1413 return f"{this} ({window_args.strip()})" +1414 +1415 def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str: +1416 partition = self.expressions(expression, key="partition_by", flat=True) +1417 return f"PARTITION BY {partition}" if partition else "" +1418 +1419 def window_spec_sql(self, expression: exp.WindowSpec) -> str: +1420 kind = self.sql(expression, "kind") +1421 start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ") +1422 end = ( +1423 csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ") +1424 or "CURRENT ROW" +1425 ) +1426 return f"{kind} BETWEEN {start} AND {end}" +1427 +1428 def withingroup_sql(self, expression: exp.WithinGroup) -> str: +1429 this = self.sql(expression, "this") +1430 expression_sql = self.sql(expression, "expression")[1:] # order has a leading space +1431 return f"{this} WITHIN GROUP ({expression_sql})" +1432 +1433 def between_sql(self, expression: exp.Between) -> str: +1434 this = self.sql(expression, "this") +1435 low = self.sql(expression, "low") +1436 high = self.sql(expression, "high") +1437 return f"{this} BETWEEN {low} AND {high}" +1438 +1439 def bracket_sql(self, expression: exp.Bracket) -> str: +1440 expressions = apply_index_offset(expression.expressions, self.index_offset) +1441 expressions_sql = ", ".join(self.sql(e) for e in expressions) +1442 +1443 return f"{self.sql(expression, 'this')}[{expressions_sql}]" +1444 +1445 def all_sql(self, expression: exp.All) -> str: +1446 return f"ALL {self.wrap(expression)}" +1447 +1448 def any_sql(self, expression: exp.Any) -> str: +1449 this = self.sql(expression, "this") +1450 if isinstance(expression.this, exp.Subqueryable): +1451 this = self.wrap(this) +1452 return f"ANY {this}" +1453 +1454 def exists_sql(self, expression: exp.Exists) -> str: +1455 return f"EXISTS{self.wrap(expression)}" 1456 -1457 default = self.sql(expression, "default") -1458 -1459 if default: -1460 statements.append(f"ELSE {default}") -1461 -1462 statements.append("END") -1463 -1464 if self.pretty and self.text_width(statements) > self._max_text_width: -1465 return self.indent("\n".join(statements), skip_first=True, skip_last=True) +1457 def case_sql(self, expression: exp.Case) -> str: +1458 this = self.sql(expression, "this") +1459 statements = [f"CASE {this}" if this else "CASE"] +1460 +1461 for e in expression.args["ifs"]: +1462 statements.append(f"WHEN {self.sql(e, 'this')}") +1463 statements.append(f"THEN {self.sql(e, 'true')}") +1464 +1465 default = self.sql(expression, "default") 1466 -1467 return " ".join(statements) -1468 -1469 def constraint_sql(self, expression: exp.Constraint) -> str: -1470 this = self.sql(expression, "this") -1471 expressions = self.expressions(expression, flat=True) -1472 return f"CONSTRAINT {this} {expressions}" -1473 -1474 def extract_sql(self, expression: exp.Extract) -> str: -1475 this = self.sql(expression, "this") -1476 expression_sql = self.sql(expression, "expression") -1477 return f"EXTRACT({this} FROM {expression_sql})" -1478 -1479 def trim_sql(self, expression: exp.Trim) -> str: -1480 trim_type = self.sql(expression, "position") +1467 if default: +1468 statements.append(f"ELSE {default}") +1469 +1470 statements.append("END") +1471 +1472 if self.pretty and self.text_width(statements) > self._max_text_width: +1473 return self.indent("\n".join(statements), skip_first=True, skip_last=True) +1474 +1475 return " ".join(statements) +1476 +1477 def constraint_sql(self, expression: exp.Constraint) -> str: +1478 this = self.sql(expression, "this") +1479 expressions = self.expressions(expression, flat=True) +1480 return f"CONSTRAINT {this} {expressions}" 1481 -1482 if trim_type == "LEADING": -1483 return self.func("LTRIM", expression.this) -1484 elif trim_type == "TRAILING": -1485 return self.func("RTRIM", expression.this) -1486 else: -1487 return self.func("TRIM", expression.this, expression.expression) -1488 -1489 def concat_sql(self, expression: exp.Concat) -> str: -1490 if len(expression.expressions) == 1: -1491 return self.sql(expression.expressions[0]) -1492 return self.function_fallback_sql(expression) -1493 -1494 def check_sql(self, expression: exp.Check) -> str: -1495 this = self.sql(expression, key="this") -1496 return f"CHECK ({this})" -1497 -1498 def foreignkey_sql(self, expression: exp.ForeignKey) -> str: -1499 expressions = self.expressions(expression, flat=True) -1500 reference = self.sql(expression, "reference") -1501 reference = f" {reference}" if reference else "" -1502 delete = self.sql(expression, "delete") -1503 delete = f" ON DELETE {delete}" if delete else "" -1504 update = self.sql(expression, "update") -1505 update = f" ON UPDATE {update}" if update else "" -1506 return f"FOREIGN KEY ({expressions}){reference}{delete}{update}" -1507 -1508 def primarykey_sql(self, expression: exp.ForeignKey) -> str: -1509 expressions = self.expressions(expression, flat=True) -1510 options = self.expressions(expression, "options", flat=True, sep=" ") -1511 options = f" {options}" if options else "" -1512 return f"PRIMARY KEY ({expressions}){options}" -1513 -1514 def unique_sql(self, expression: exp.Unique) -> str: -1515 columns = self.expressions(expression, key="expressions") -1516 return f"UNIQUE ({columns})" -1517 -1518 def if_sql(self, expression: exp.If) -> str: -1519 return self.case_sql( -1520 exp.Case(ifs=[expression.copy()], default=expression.args.get("false")) -1521 ) -1522 -1523 def in_sql(self, expression: exp.In) -> str: -1524 query = expression.args.get("query") -1525 unnest = expression.args.get("unnest") -1526 field = expression.args.get("field") -1527 is_global = " GLOBAL" if expression.args.get("is_global") else "" -1528 -1529 if query: -1530 in_sql = self.wrap(query) -1531 elif unnest: -1532 in_sql = self.in_unnest_op(unnest) -1533 elif field: -1534 in_sql = self.sql(field) -1535 else: -1536 in_sql = f"({self.expressions(expression, flat=True)})" -1537 -1538 return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}" -1539 -1540 def in_unnest_op(self, unnest: exp.Unnest) -> str: -1541 return f"(SELECT {self.sql(unnest)})" -1542 -1543 def interval_sql(self, expression: exp.Interval) -> str: -1544 this = expression.args.get("this") -1545 if this: -1546 this = ( -1547 f" {this}" -1548 if isinstance(this, exp.Literal) or isinstance(this, exp.Paren) -1549 else f" ({this})" -1550 ) -1551 else: -1552 this = "" -1553 unit = expression.args.get("unit") -1554 unit = f" {unit}" if unit else "" -1555 return f"INTERVAL{this}{unit}" -1556 -1557 def return_sql(self, expression: exp.Return) -> str: -1558 return f"RETURN {self.sql(expression, 'this')}" -1559 -1560 def reference_sql(self, expression: exp.Reference) -> str: -1561 this = self.sql(expression, "this") -1562 expressions = self.expressions(expression, flat=True) -1563 expressions = f"({expressions})" if expressions else "" -1564 options = self.expressions(expression, "options", flat=True, sep=" ") -1565 options = f" {options}" if options else "" -1566 return f"REFERENCES {this}{expressions}{options}" +1482 def extract_sql(self, expression: exp.Extract) -> str: +1483 this = self.sql(expression, "this") +1484 expression_sql = self.sql(expression, "expression") +1485 return f"EXTRACT({this} FROM {expression_sql})" +1486 +1487 def trim_sql(self, expression: exp.Trim) -> str: +1488 trim_type = self.sql(expression, "position") +1489 +1490 if trim_type == "LEADING": +1491 return self.func("LTRIM", expression.this) +1492 elif trim_type == "TRAILING": +1493 return self.func("RTRIM", expression.this) +1494 else: +1495 return self.func("TRIM", expression.this, expression.expression) +1496 +1497 def concat_sql(self, expression: exp.Concat) -> str: +1498 if len(expression.expressions) == 1: +1499 return self.sql(expression.expressions[0]) +1500 return self.function_fallback_sql(expression) +1501 +1502 def check_sql(self, expression: exp.Check) -> str: +1503 this = self.sql(expression, key="this") +1504 return f"CHECK ({this})" +1505 +1506 def foreignkey_sql(self, expression: exp.ForeignKey) -> str: +1507 expressions = self.expressions(expression, flat=True) +1508 reference = self.sql(expression, "reference") +1509 reference = f" {reference}" if reference else "" +1510 delete = self.sql(expression, "delete") +1511 delete = f" ON DELETE {delete}" if delete else "" +1512 update = self.sql(expression, "update") +1513 update = f" ON UPDATE {update}" if update else "" +1514 return f"FOREIGN KEY ({expressions}){reference}{delete}{update}" +1515 +1516 def primarykey_sql(self, expression: exp.ForeignKey) -> str: +1517 expressions = self.expressions(expression, flat=True) +1518 options = self.expressions(expression, "options", flat=True, sep=" ") +1519 options = f" {options}" if options else "" +1520 return f"PRIMARY KEY ({expressions}){options}" +1521 +1522 def unique_sql(self, expression: exp.Unique) -> str: +1523 columns = self.expressions(expression, key="expressions") +1524 return f"UNIQUE ({columns})" +1525 +1526 def if_sql(self, expression: exp.If) -> str: +1527 return self.case_sql( +1528 exp.Case(ifs=[expression.copy()], default=expression.args.get("false")) +1529 ) +1530 +1531 def in_sql(self, expression: exp.In) -> str: +1532 query = expression.args.get("query") +1533 unnest = expression.args.get("unnest") +1534 field = expression.args.get("field") +1535 is_global = " GLOBAL" if expression.args.get("is_global") else "" +1536 +1537 if query: +1538 in_sql = self.wrap(query) +1539 elif unnest: +1540 in_sql = self.in_unnest_op(unnest) +1541 elif field: +1542 in_sql = self.sql(field) +1543 else: +1544 in_sql = f"({self.expressions(expression, flat=True)})" +1545 +1546 return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}" +1547 +1548 def in_unnest_op(self, unnest: exp.Unnest) -> str: +1549 return f"(SELECT {self.sql(unnest)})" +1550 +1551 def interval_sql(self, expression: exp.Interval) -> str: +1552 this = expression.args.get("this") +1553 if this: +1554 this = ( +1555 f" {this}" +1556 if isinstance(this, exp.Literal) or isinstance(this, exp.Paren) +1557 else f" ({this})" +1558 ) +1559 else: +1560 this = "" +1561 unit = expression.args.get("unit") +1562 unit = f" {unit}" if unit else "" +1563 return f"INTERVAL{this}{unit}" +1564 +1565 def return_sql(self, expression: exp.Return) -> str: +1566 return f"RETURN {self.sql(expression, 'this')}" 1567 -1568 def anonymous_sql(self, expression: exp.Anonymous) -> str: -1569 return self.func(expression.name, *expression.expressions) -1570 -1571 def paren_sql(self, expression: exp.Paren) -> str: -1572 if isinstance(expression.unnest(), exp.Select): -1573 sql = self.wrap(expression) -1574 else: -1575 sql = self.seg(self.indent(self.sql(expression, "this")), sep="") -1576 sql = f"({sql}{self.seg(')', sep='')}" -1577 -1578 return self.prepend_ctes(expression, sql) -1579 -1580 def neg_sql(self, expression: exp.Neg) -> str: -1581 # This makes sure we don't convert "- - 5" to "--5", which is a comment -1582 this_sql = self.sql(expression, "this") -1583 sep = " " if this_sql[0] == "-" else "" -1584 return f"-{sep}{this_sql}" +1568 def reference_sql(self, expression: exp.Reference) -> str: +1569 this = self.sql(expression, "this") +1570 expressions = self.expressions(expression, flat=True) +1571 expressions = f"({expressions})" if expressions else "" +1572 options = self.expressions(expression, "options", flat=True, sep=" ") +1573 options = f" {options}" if options else "" +1574 return f"REFERENCES {this}{expressions}{options}" +1575 +1576 def anonymous_sql(self, expression: exp.Anonymous) -> str: +1577 return self.func(expression.name, *expression.expressions) +1578 +1579 def paren_sql(self, expression: exp.Paren) -> str: +1580 if isinstance(expression.unnest(), exp.Select): +1581 sql = self.wrap(expression) +1582 else: +1583 sql = self.seg(self.indent(self.sql(expression, "this")), sep="") +1584 sql = f"({sql}{self.seg(')', sep='')}" 1585 -1586 def not_sql(self, expression: exp.Not) -> str: -1587 return f"NOT {self.sql(expression, 'this')}" -1588 -1589 def alias_sql(self, expression: exp.Alias) -> str: -1590 to_sql = self.sql(expression, "alias") -1591 to_sql = f" AS {to_sql}" if to_sql else "" -1592 return f"{self.sql(expression, 'this')}{to_sql}" +1586 return self.prepend_ctes(expression, sql) +1587 +1588 def neg_sql(self, expression: exp.Neg) -> str: +1589 # This makes sure we don't convert "- - 5" to "--5", which is a comment +1590 this_sql = self.sql(expression, "this") +1591 sep = " " if this_sql[0] == "-" else "" +1592 return f"-{sep}{this_sql}" 1593 -1594 def aliases_sql(self, expression: exp.Aliases) -> str: -1595 return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})" +1594 def not_sql(self, expression: exp.Not) -> str: +1595 return f"NOT {self.sql(expression, 'this')}" 1596 -1597 def attimezone_sql(self, expression: exp.AtTimeZone) -> str: -1598 this = self.sql(expression, "this") -1599 zone = self.sql(expression, "zone") -1600 return f"{this} AT TIME ZONE {zone}" +1597 def alias_sql(self, expression: exp.Alias) -> str: +1598 to_sql = self.sql(expression, "alias") +1599 to_sql = f" AS {to_sql}" if to_sql else "" +1600 return f"{self.sql(expression, 'this')}{to_sql}" 1601 -1602 def add_sql(self, expression: exp.Add) -> str: -1603 return self.binary(expression, "+") +1602 def aliases_sql(self, expression: exp.Aliases) -> str: +1603 return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})" 1604 -1605 def and_sql(self, expression: exp.And) -> str: -1606 return self.connector_sql(expression, "AND") -1607 -1608 def connector_sql(self, expression: exp.Connector, op: str) -> str: -1609 if not self.pretty: -1610 return self.binary(expression, op) -1611 -1612 sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False)) -1613 sep = "\n" if self.text_width(sqls) > self._max_text_width else " " -1614 return f"{sep}{op} ".join(sqls) +1605 def attimezone_sql(self, expression: exp.AtTimeZone) -> str: +1606 this = self.sql(expression, "this") +1607 zone = self.sql(expression, "zone") +1608 return f"{this} AT TIME ZONE {zone}" +1609 +1610 def add_sql(self, expression: exp.Add) -> str: +1611 return self.binary(expression, "+") +1612 +1613 def and_sql(self, expression: exp.And) -> str: +1614 return self.connector_sql(expression, "AND") 1615 -1616 def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str: -1617 return self.binary(expression, "&") -1618 -1619 def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str: -1620 return self.binary(expression, "<<") -1621 -1622 def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str: -1623 return f"~{self.sql(expression, 'this')}" -1624 -1625 def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str: -1626 return self.binary(expression, "|") -1627 -1628 def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str: -1629 return self.binary(expression, ">>") -1630 -1631 def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str: -1632 return self.binary(expression, "^") -1633 -1634 def cast_sql(self, expression: exp.Cast) -> str: -1635 return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" -1636 -1637 def currentdate_sql(self, expression: exp.CurrentDate) -> str: -1638 zone = self.sql(expression, "this") -1639 return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE" -1640 -1641 def collate_sql(self, expression: exp.Collate) -> str: -1642 return self.binary(expression, "COLLATE") -1643 -1644 def command_sql(self, expression: exp.Command) -> str: -1645 return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}" -1646 -1647 def transaction_sql(self, *_) -> str: -1648 return "BEGIN" -1649 -1650 def commit_sql(self, expression: exp.Commit) -> str: -1651 chain = expression.args.get("chain") -1652 if chain is not None: -1653 chain = " AND CHAIN" if chain else " AND NO CHAIN" +1616 def connector_sql(self, expression: exp.Connector, op: str) -> str: +1617 if not self.pretty: +1618 return self.binary(expression, op) +1619 +1620 sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False)) +1621 sep = "\n" if self.text_width(sqls) > self._max_text_width else " " +1622 return f"{sep}{op} ".join(sqls) +1623 +1624 def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str: +1625 return self.binary(expression, "&") +1626 +1627 def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str: +1628 return self.binary(expression, "<<") +1629 +1630 def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str: +1631 return f"~{self.sql(expression, 'this')}" +1632 +1633 def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str: +1634 return self.binary(expression, "|") +1635 +1636 def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str: +1637 return self.binary(expression, ">>") +1638 +1639 def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str: +1640 return self.binary(expression, "^") +1641 +1642 def cast_sql(self, expression: exp.Cast) -> str: +1643 return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1644 +1645 def currentdate_sql(self, expression: exp.CurrentDate) -> str: +1646 zone = self.sql(expression, "this") +1647 return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE" +1648 +1649 def collate_sql(self, expression: exp.Collate) -> str: +1650 return self.binary(expression, "COLLATE") +1651 +1652 def command_sql(self, expression: exp.Command) -> str: +1653 return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}" 1654 -1655 return f"COMMIT{chain or ''}" -1656 -1657 def rollback_sql(self, expression: exp.Rollback) -> str: -1658 savepoint = expression.args.get("savepoint") -1659 savepoint = f" TO {savepoint}" if savepoint else "" -1660 return f"ROLLBACK{savepoint}" +1655 def comment_sql(self, expression: exp.Comment) -> str: +1656 this = self.sql(expression, "this") +1657 kind = expression.args["kind"] +1658 exists_sql = " IF EXISTS " if expression.args.get("exists") else " " +1659 expression_sql = self.sql(expression, "expression") +1660 return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}" 1661 -1662 def altercolumn_sql(self, expression: exp.AlterColumn) -> str: -1663 this = self.sql(expression, "this") +1662 def transaction_sql(self, *_) -> str: +1663 return "BEGIN" 1664 -1665 dtype = self.sql(expression, "dtype") -1666 if dtype: -1667 collate = self.sql(expression, "collate") -1668 collate = f" COLLATE {collate}" if collate else "" -1669 using = self.sql(expression, "using") -1670 using = f" USING {using}" if using else "" -1671 return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}" -1672 -1673 default = self.sql(expression, "default") -1674 if default: -1675 return f"ALTER COLUMN {this} SET DEFAULT {default}" +1665 def commit_sql(self, expression: exp.Commit) -> str: +1666 chain = expression.args.get("chain") +1667 if chain is not None: +1668 chain = " AND CHAIN" if chain else " AND NO CHAIN" +1669 +1670 return f"COMMIT{chain or ''}" +1671 +1672 def rollback_sql(self, expression: exp.Rollback) -> str: +1673 savepoint = expression.args.get("savepoint") +1674 savepoint = f" TO {savepoint}" if savepoint else "" +1675 return f"ROLLBACK{savepoint}" 1676 -1677 if not expression.args.get("drop"): -1678 self.unsupported("Unsupported ALTER COLUMN syntax") +1677 def altercolumn_sql(self, expression: exp.AlterColumn) -> str: +1678 this = self.sql(expression, "this") 1679 -1680 return f"ALTER COLUMN {this} DROP DEFAULT" -1681 -1682 def renametable_sql(self, expression: exp.RenameTable) -> str: -1683 this = self.sql(expression, "this") -1684 return f"RENAME TO {this}" -1685 -1686 def altertable_sql(self, expression: exp.AlterTable) -> str: -1687 actions = expression.args["actions"] -1688 -1689 if isinstance(actions[0], exp.ColumnDef): -1690 actions = self.expressions(expression, "actions", prefix="ADD COLUMN ") -1691 elif isinstance(actions[0], exp.Schema): -1692 actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ") -1693 elif isinstance(actions[0], exp.Delete): -1694 actions = self.expressions(expression, "actions", flat=True) -1695 else: -1696 actions = self.expressions(expression, "actions") -1697 -1698 exists = " IF EXISTS" if expression.args.get("exists") else "" -1699 return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}" +1680 dtype = self.sql(expression, "dtype") +1681 if dtype: +1682 collate = self.sql(expression, "collate") +1683 collate = f" COLLATE {collate}" if collate else "" +1684 using = self.sql(expression, "using") +1685 using = f" USING {using}" if using else "" +1686 return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}" +1687 +1688 default = self.sql(expression, "default") +1689 if default: +1690 return f"ALTER COLUMN {this} SET DEFAULT {default}" +1691 +1692 if not expression.args.get("drop"): +1693 self.unsupported("Unsupported ALTER COLUMN syntax") +1694 +1695 return f"ALTER COLUMN {this} DROP DEFAULT" +1696 +1697 def renametable_sql(self, expression: exp.RenameTable) -> str: +1698 this = self.sql(expression, "this") +1699 return f"RENAME TO {this}" 1700 -1701 def droppartition_sql(self, expression: exp.DropPartition) -> str: -1702 expressions = self.expressions(expression) -1703 exists = " IF EXISTS " if expression.args.get("exists") else " " -1704 return f"DROP{exists}{expressions}" -1705 -1706 def addconstraint_sql(self, expression: exp.AddConstraint) -> str: -1707 this = self.sql(expression, "this") -1708 expression_ = self.sql(expression, "expression") -1709 add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD" -1710 -1711 enforced = expression.args.get("enforced") -1712 if enforced is not None: -1713 return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}" -1714 -1715 return f"{add_constraint} {expression_}" -1716 -1717 def distinct_sql(self, expression: exp.Distinct) -> str: -1718 this = self.expressions(expression, flat=True) -1719 this = f" {this}" if this else "" +1701 def altertable_sql(self, expression: exp.AlterTable) -> str: +1702 actions = expression.args["actions"] +1703 +1704 if isinstance(actions[0], exp.ColumnDef): +1705 actions = self.expressions(expression, "actions", prefix="ADD COLUMN ") +1706 elif isinstance(actions[0], exp.Schema): +1707 actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ") +1708 elif isinstance(actions[0], exp.Delete): +1709 actions = self.expressions(expression, "actions", flat=True) +1710 else: +1711 actions = self.expressions(expression, "actions") +1712 +1713 exists = " IF EXISTS" if expression.args.get("exists") else "" +1714 return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}" +1715 +1716 def droppartition_sql(self, expression: exp.DropPartition) -> str: +1717 expressions = self.expressions(expression) +1718 exists = " IF EXISTS " if expression.args.get("exists") else " " +1719 return f"DROP{exists}{expressions}" 1720 -1721 on = self.sql(expression, "on") -1722 on = f" ON {on}" if on else "" -1723 return f"DISTINCT{this}{on}" -1724 -1725 def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str: -1726 return f"{self.sql(expression, 'this')} IGNORE NULLS" -1727 -1728 def respectnulls_sql(self, expression: exp.RespectNulls) -> str: -1729 return f"{self.sql(expression, 'this')} RESPECT NULLS" -1730 -1731 def intdiv_sql(self, expression: exp.IntDiv) -> str: -1732 return self.sql( -1733 exp.Cast( -1734 this=exp.Div(this=expression.this, expression=expression.expression), -1735 to=exp.DataType(this=exp.DataType.Type.INT), -1736 ) -1737 ) -1738 -1739 def dpipe_sql(self, expression: exp.DPipe) -> str: -1740 return self.binary(expression, "||") -1741 -1742 def div_sql(self, expression: exp.Div) -> str: -1743 return self.binary(expression, "/") -1744 -1745 def distance_sql(self, expression: exp.Distance) -> str: -1746 return self.binary(expression, "<->") -1747 -1748 def dot_sql(self, expression: exp.Dot) -> str: -1749 return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}" -1750 -1751 def eq_sql(self, expression: exp.EQ) -> str: -1752 return self.binary(expression, "=") +1721 def addconstraint_sql(self, expression: exp.AddConstraint) -> str: +1722 this = self.sql(expression, "this") +1723 expression_ = self.sql(expression, "expression") +1724 add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD" +1725 +1726 enforced = expression.args.get("enforced") +1727 if enforced is not None: +1728 return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}" +1729 +1730 return f"{add_constraint} {expression_}" +1731 +1732 def distinct_sql(self, expression: exp.Distinct) -> str: +1733 this = self.expressions(expression, flat=True) +1734 this = f" {this}" if this else "" +1735 +1736 on = self.sql(expression, "on") +1737 on = f" ON {on}" if on else "" +1738 return f"DISTINCT{this}{on}" +1739 +1740 def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str: +1741 return f"{self.sql(expression, 'this')} IGNORE NULLS" +1742 +1743 def respectnulls_sql(self, expression: exp.RespectNulls) -> str: +1744 return f"{self.sql(expression, 'this')} RESPECT NULLS" +1745 +1746 def intdiv_sql(self, expression: exp.IntDiv) -> str: +1747 return self.sql( +1748 exp.Cast( +1749 this=exp.Div(this=expression.this, expression=expression.expression), +1750 to=exp.DataType(this=exp.DataType.Type.INT), +1751 ) +1752 ) 1753 -1754 def escape_sql(self, expression: exp.Escape) -> str: -1755 return self.binary(expression, "ESCAPE") +1754 def dpipe_sql(self, expression: exp.DPipe) -> str: +1755 return self.binary(expression, "||") 1756 -1757 def glob_sql(self, expression: exp.Glob) -> str: -1758 return self.binary(expression, "GLOB") +1757 def div_sql(self, expression: exp.Div) -> str: +1758 return self.binary(expression, "/") 1759 -1760 def gt_sql(self, expression: exp.GT) -> str: -1761 return self.binary(expression, ">") +1760 def overlaps_sql(self, expression: exp.Overlaps) -> str: +1761 return self.binary(expression, "OVERLAPS") 1762 -1763 def gte_sql(self, expression: exp.GTE) -> str: -1764 return self.binary(expression, ">=") +1763 def distance_sql(self, expression: exp.Distance) -> str: +1764 return self.binary(expression, "<->") 1765 -1766 def ilike_sql(self, expression: exp.ILike) -> str: -1767 return self.binary(expression, "ILIKE") +1766 def dot_sql(self, expression: exp.Dot) -> str: +1767 return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}" 1768 -1769 def is_sql(self, expression: exp.Is) -> str: -1770 return self.binary(expression, "IS") +1769 def eq_sql(self, expression: exp.EQ) -> str: +1770 return self.binary(expression, "=") 1771 -1772 def like_sql(self, expression: exp.Like) -> str: -1773 return self.binary(expression, "LIKE") +1772 def escape_sql(self, expression: exp.Escape) -> str: +1773 return self.binary(expression, "ESCAPE") 1774 -1775 def similarto_sql(self, expression: exp.SimilarTo) -> str: -1776 return self.binary(expression, "SIMILAR TO") +1775 def glob_sql(self, expression: exp.Glob) -> str: +1776 return self.binary(expression, "GLOB") 1777 -1778 def lt_sql(self, expression: exp.LT) -> str: -1779 return self.binary(expression, "<") +1778 def gt_sql(self, expression: exp.GT) -> str: +1779 return self.binary(expression, ">") 1780 -1781 def lte_sql(self, expression: exp.LTE) -> str: -1782 return self.binary(expression, "<=") +1781 def gte_sql(self, expression: exp.GTE) -> str: +1782 return self.binary(expression, ">=") 1783 -1784 def mod_sql(self, expression: exp.Mod) -> str: -1785 return self.binary(expression, "%") +1784 def ilike_sql(self, expression: exp.ILike) -> str: +1785 return self.binary(expression, "ILIKE") 1786 -1787 def mul_sql(self, expression: exp.Mul) -> str: -1788 return self.binary(expression, "*") +1787 def is_sql(self, expression: exp.Is) -> str: +1788 return self.binary(expression, "IS") 1789 -1790 def neq_sql(self, expression: exp.NEQ) -> str: -1791 return self.binary(expression, "<>") +1790 def like_sql(self, expression: exp.Like) -> str: +1791 return self.binary(expression, "LIKE") 1792 -1793 def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str: -1794 return self.binary(expression, "IS NOT DISTINCT FROM") +1793 def similarto_sql(self, expression: exp.SimilarTo) -> str: +1794 return self.binary(expression, "SIMILAR TO") 1795 -1796 def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str: -1797 return self.binary(expression, "IS DISTINCT FROM") +1796 def lt_sql(self, expression: exp.LT) -> str: +1797 return self.binary(expression, "<") 1798 -1799 def or_sql(self, expression: exp.Or) -> str: -1800 return self.connector_sql(expression, "OR") +1799 def lte_sql(self, expression: exp.LTE) -> str: +1800 return self.binary(expression, "<=") 1801 -1802 def slice_sql(self, expression: exp.Slice) -> str: -1803 return self.binary(expression, ":") +1802 def mod_sql(self, expression: exp.Mod) -> str: +1803 return self.binary(expression, "%") 1804 -1805 def sub_sql(self, expression: exp.Sub) -> str: -1806 return self.binary(expression, "-") +1805 def mul_sql(self, expression: exp.Mul) -> str: +1806 return self.binary(expression, "*") 1807 -1808 def trycast_sql(self, expression: exp.TryCast) -> str: -1809 return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1808 def neq_sql(self, expression: exp.NEQ) -> str: +1809 return self.binary(expression, "<>") 1810 -1811 def use_sql(self, expression: exp.Use) -> str: -1812 kind = self.sql(expression, "kind") -1813 kind = f" {kind}" if kind else "" -1814 this = self.sql(expression, "this") -1815 this = f" {this}" if this else "" -1816 return f"USE{kind}{this}" -1817 -1818 def binary(self, expression: exp.Binary, op: str) -> str: -1819 return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}" -1820 -1821 def function_fallback_sql(self, expression: exp.Func) -> str: -1822 args = [] -1823 for arg_value in expression.args.values(): -1824 if isinstance(arg_value, list): -1825 for value in arg_value: -1826 args.append(value) -1827 else: -1828 args.append(arg_value) -1829 -1830 return self.func(expression.sql_name(), *args) -1831 -1832 def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str: -1833 return f"{self.normalize_func(name)}({self.format_args(*args)})" -1834 -1835 def format_args(self, *args: t.Optional[str | exp.Expression]) -> str: -1836 arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None) -1837 if self.pretty and self.text_width(arg_sqls) > self._max_text_width: -1838 return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True) -1839 return ", ".join(arg_sqls) -1840 -1841 def text_width(self, args: t.Iterable) -> int: -1842 return sum(len(arg) for arg in args) -1843 -1844 def format_time(self, expression: exp.Expression) -> t.Optional[str]: -1845 return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie) -1846 -1847 def expressions( -1848 self, -1849 expression: exp.Expression, -1850 key: t.Optional[str] = None, -1851 flat: bool = False, -1852 indent: bool = True, -1853 sep: str = ", ", -1854 prefix: str = "", -1855 ) -> str: -1856 expressions = expression.args.get(key or "expressions") -1857 -1858 if not expressions: -1859 return "" -1860 -1861 if flat: -1862 return sep.join(self.sql(e) for e in expressions) -1863 -1864 num_sqls = len(expressions) -1865 -1866 # These are calculated once in case we have the leading_comma / pretty option set, correspondingly -1867 pad = " " * self.pad -1868 stripped_sep = sep.strip() -1869 -1870 result_sqls = [] -1871 for i, e in enumerate(expressions): -1872 sql = self.sql(e, comment=False) -1873 comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else "" -1874 -1875 if self.pretty: -1876 if self._leading_comma: -1877 result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}") -1878 else: -1879 result_sqls.append( -1880 f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}" -1881 ) -1882 else: -1883 result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}") -1884 -1885 result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls) -1886 return self.indent(result_sql, skip_first=False) if indent else result_sql +1811 def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str: +1812 return self.binary(expression, "IS NOT DISTINCT FROM") +1813 +1814 def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str: +1815 return self.binary(expression, "IS DISTINCT FROM") +1816 +1817 def or_sql(self, expression: exp.Or) -> str: +1818 return self.connector_sql(expression, "OR") +1819 +1820 def slice_sql(self, expression: exp.Slice) -> str: +1821 return self.binary(expression, ":") +1822 +1823 def sub_sql(self, expression: exp.Sub) -> str: +1824 return self.binary(expression, "-") +1825 +1826 def trycast_sql(self, expression: exp.TryCast) -> str: +1827 return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})" +1828 +1829 def use_sql(self, expression: exp.Use) -> str: +1830 kind = self.sql(expression, "kind") +1831 kind = f" {kind}" if kind else "" +1832 this = self.sql(expression, "this") +1833 this = f" {this}" if this else "" +1834 return f"USE{kind}{this}" +1835 +1836 def binary(self, expression: exp.Binary, op: str) -> str: +1837 return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}" +1838 +1839 def function_fallback_sql(self, expression: exp.Func) -> str: +1840 args = [] +1841 for arg_value in expression.args.values(): +1842 if isinstance(arg_value, list): +1843 for value in arg_value: +1844 args.append(value) +1845 else: +1846 args.append(arg_value) +1847 +1848 return self.func(expression.sql_name(), *args) +1849 +1850 def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str: +1851 return f"{self.normalize_func(name)}({self.format_args(*args)})" +1852 +1853 def format_args(self, *args: t.Optional[str | exp.Expression]) -> str: +1854 arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None) +1855 if self.pretty and self.text_width(arg_sqls) > self._max_text_width: +1856 return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True) +1857 return ", ".join(arg_sqls) +1858 +1859 def text_width(self, args: t.Iterable) -> int: +1860 return sum(len(arg) for arg in args) +1861 +1862 def format_time(self, expression: exp.Expression) -> t.Optional[str]: +1863 return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie) +1864 +1865 def expressions( +1866 self, +1867 expression: exp.Expression, +1868 key: t.Optional[str] = None, +1869 flat: bool = False, +1870 indent: bool = True, +1871 sep: str = ", ", +1872 prefix: str = "", +1873 ) -> str: +1874 expressions = expression.args.get(key or "expressions") +1875 +1876 if not expressions: +1877 return "" +1878 +1879 if flat: +1880 return sep.join(self.sql(e) for e in expressions) +1881 +1882 num_sqls = len(expressions) +1883 +1884 # These are calculated once in case we have the leading_comma / pretty option set, correspondingly +1885 pad = " " * self.pad +1886 stripped_sep = sep.strip() 1887 -1888 def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str: -1889 flat = flat or isinstance(expression.parent, exp.Properties) -1890 expressions_sql = self.expressions(expression, flat=flat) -1891 if flat: -1892 return f"{op} {expressions_sql}" -1893 return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}" -1894 -1895 def naked_property(self, expression: exp.Property) -> str: -1896 property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__) -1897 if not property_name: -1898 self.unsupported(f"Unsupported property {expression.__class__.__name__}") -1899 return f"{property_name} {self.sql(expression, 'this')}" -1900 -1901 def set_operation(self, expression: exp.Expression, op: str) -> str: -1902 this = self.sql(expression, "this") -1903 op = self.seg(op) -1904 return self.query_modifiers( -1905 expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}" -1906 ) -1907 -1908 def tag_sql(self, expression: exp.Tag) -> str: -1909 return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}" -1910 -1911 def token_sql(self, token_type: TokenType) -> str: -1912 return self.TOKEN_MAPPING.get(token_type, token_type.name) -1913 -1914 def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str: -1915 this = self.sql(expression, "this") -1916 expressions = self.no_identify(self.expressions, expression) -1917 expressions = ( -1918 self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}" -1919 ) -1920 return f"{this}{expressions}" -1921 -1922 def joinhint_sql(self, expression: exp.JoinHint) -> str: -1923 this = self.sql(expression, "this") -1924 expressions = self.expressions(expression, flat=True) -1925 return f"{this}({expressions})" -1926 -1927 def kwarg_sql(self, expression: exp.Kwarg) -> str: -1928 return self.binary(expression, "=>") -1929 -1930 def when_sql(self, expression: exp.When) -> str: -1931 this = self.sql(expression, "this") -1932 then_expression = expression.args.get("then") -1933 if isinstance(then_expression, exp.Insert): -1934 then = f"INSERT {self.sql(then_expression, 'this')}" -1935 if "expression" in then_expression.args: -1936 then += f" VALUES {self.sql(then_expression, 'expression')}" -1937 elif isinstance(then_expression, exp.Update): -1938 if isinstance(then_expression.args.get("expressions"), exp.Star): -1939 then = f"UPDATE {self.sql(then_expression, 'expressions')}" -1940 else: -1941 then = f"UPDATE SET {self.expressions(then_expression, flat=True)}" -1942 else: -1943 then = self.sql(then_expression) -1944 return f"WHEN {this} THEN {then}" -1945 -1946 def merge_sql(self, expression: exp.Merge) -> str: -1947 this = self.sql(expression, "this") -1948 using = f"USING {self.sql(expression, 'using')}" -1949 on = f"ON {self.sql(expression, 'on')}" -1950 return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}" +1888 result_sqls = [] +1889 for i, e in enumerate(expressions): +1890 sql = self.sql(e, comment=False) +1891 comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else "" +1892 +1893 if self.pretty: +1894 if self._leading_comma: +1895 result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}") +1896 else: +1897 result_sqls.append( +1898 f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}" +1899 ) +1900 else: +1901 result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}") +1902 +1903 result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls) +1904 return self.indent(result_sql, skip_first=False) if indent else result_sql +1905 +1906 def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str: +1907 flat = flat or isinstance(expression.parent, exp.Properties) +1908 expressions_sql = self.expressions(expression, flat=flat) +1909 if flat: +1910 return f"{op} {expressions_sql}" +1911 return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}" +1912 +1913 def naked_property(self, expression: exp.Property) -> str: +1914 property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__) +1915 if not property_name: +1916 self.unsupported(f"Unsupported property {expression.__class__.__name__}") +1917 return f"{property_name} {self.sql(expression, 'this')}" +1918 +1919 def set_operation(self, expression: exp.Expression, op: str) -> str: +1920 this = self.sql(expression, "this") +1921 op = self.seg(op) +1922 return self.query_modifiers( +1923 expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}" +1924 ) +1925 +1926 def tag_sql(self, expression: exp.Tag) -> str: +1927 return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}" +1928 +1929 def token_sql(self, token_type: TokenType) -> str: +1930 return self.TOKEN_MAPPING.get(token_type, token_type.name) +1931 +1932 def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str: +1933 this = self.sql(expression, "this") +1934 expressions = self.no_identify(self.expressions, expression) +1935 expressions = ( +1936 self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}" +1937 ) +1938 return f"{this}{expressions}" +1939 +1940 def joinhint_sql(self, expression: exp.JoinHint) -> str: +1941 this = self.sql(expression, "this") +1942 expressions = self.expressions(expression, flat=True) +1943 return f"{this}({expressions})" +1944 +1945 def kwarg_sql(self, expression: exp.Kwarg) -> str: +1946 return self.binary(expression, "=>") +1947 +1948 def when_sql(self, expression: exp.When) -> str: +1949 this = self.sql(expression, "this") +1950 then_expression = expression.args.get("then") +1951 if isinstance(then_expression, exp.Insert): +1952 then = f"INSERT {self.sql(then_expression, 'this')}" +1953 if "expression" in then_expression.args: +1954 then += f" VALUES {self.sql(then_expression, 'expression')}" +1955 elif isinstance(then_expression, exp.Update): +1956 if isinstance(then_expression.args.get("expressions"), exp.Star): +1957 then = f"UPDATE {self.sql(then_expression, 'expressions')}" +1958 else: +1959 then = f"UPDATE SET {self.expressions(then_expression, flat=True)}" +1960 else: +1961 then = self.sql(then_expression) +1962 return f"WHEN {this} THEN {then}" +1963 +1964 def merge_sql(self, expression: exp.Merge) -> str: +1965 this = self.sql(expression, "this") +1966 using = f"USING {self.sql(expression, 'using')}" +1967 on = f"ON {self.sql(expression, 'on')}" +1968 return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}" @@ -5372,68 +5414,75 @@ Default: True 551 else: 552 expression_sql = f" AS{expression_sql}" 553 -554 replace = " OR REPLACE" if expression.args.get("replace") else "" -555 unique = " UNIQUE" if expression.args.get("unique") else "" -556 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" -557 -558 indexes = expression.args.get("indexes") -559 index_sql = "" -560 if indexes: -561 indexes_sql = [] -562 for index in indexes: -563 ind_unique = " UNIQUE" if index.args.get("unique") else "" -564 ind_primary = " PRIMARY" if index.args.get("primary") else "" -565 ind_amp = " AMP" if index.args.get("amp") else "" -566 ind_name = f" {index.name}" if index.name else "" -567 ind_columns = ( -568 f' ({self.expressions(index, key="columns", flat=True)})' -569 if index.args.get("columns") -570 else "" -571 ) -572 if index.args.get("primary") and properties_locs.get( -573 exp.Properties.Location.POST_INDEX -574 ): -575 postindex_props_sql = self.properties( -576 exp.Properties( -577 expressions=properties_locs[exp.Properties.Location.POST_INDEX] -578 ), -579 wrapped=False, -580 ) -581 ind_columns = f"{ind_columns} {postindex_props_sql}" -582 -583 indexes_sql.append( -584 f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" -585 ) +554 postindex_props_sql = "" +555 if properties_locs.get(exp.Properties.Location.POST_INDEX): +556 postindex_props_sql = self.properties( +557 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]), +558 wrapped=False, +559 prefix=" ", +560 ) +561 +562 indexes = expression.args.get("indexes") +563 if indexes: +564 indexes_sql: t.List[str] = [] +565 for index in indexes: +566 ind_unique = " UNIQUE" if index.args.get("unique") else "" +567 ind_primary = " PRIMARY" if index.args.get("primary") else "" +568 ind_amp = " AMP" if index.args.get("amp") else "" +569 ind_name = f" {index.name}" if index.name else "" +570 ind_columns = ( +571 f' ({self.expressions(index, key="columns", flat=True)})' +572 if index.args.get("columns") +573 else "" +574 ) +575 ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}" +576 +577 if indexes_sql: +578 indexes_sql.append(ind_sql) +579 else: +580 indexes_sql.append( +581 f"{ind_sql}{postindex_props_sql}" +582 if index.args.get("primary") +583 else f"{postindex_props_sql}{ind_sql}" +584 ) +585 586 index_sql = "".join(indexes_sql) -587 -588 postcreate_props_sql = "" -589 if properties_locs.get(exp.Properties.Location.POST_CREATE): -590 postcreate_props_sql = self.properties( -591 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), -592 sep=" ", -593 prefix=" ", -594 wrapped=False, -595 ) -596 -597 modifiers = "".join((replace, unique, postcreate_props_sql)) -598 -599 postexpression_props_sql = "" -600 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): -601 postexpression_props_sql = self.properties( -602 exp.Properties( -603 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] -604 ), -605 sep=" ", -606 prefix=" ", -607 wrapped=False, -608 ) -609 -610 no_schema_binding = ( -611 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" -612 ) -613 -614 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" -615 return self.prepend_ctes(expression, expression_sql) +587 else: +588 index_sql = postindex_props_sql +589 +590 replace = " OR REPLACE" if expression.args.get("replace") else "" +591 unique = " UNIQUE" if expression.args.get("unique") else "" +592 volatile = " VOLATILE" if expression.args.get("volatile") else "" +593 +594 postcreate_props_sql = "" +595 if properties_locs.get(exp.Properties.Location.POST_CREATE): +596 postcreate_props_sql = self.properties( +597 exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]), +598 sep=" ", +599 prefix=" ", +600 wrapped=False, +601 ) +602 +603 modifiers = "".join((replace, unique, volatile, postcreate_props_sql)) +604 +605 postexpression_props_sql = "" +606 if properties_locs.get(exp.Properties.Location.POST_EXPRESSION): +607 postexpression_props_sql = self.properties( +608 exp.Properties( +609 expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION] +610 ), +611 sep=" ", +612 prefix=" ", +613 wrapped=False, +614 ) +615 +616 exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else "" +617 no_schema_binding = ( +618 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else "" +619 ) +620 +621 expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}" +622 return self.prepend_ctes(expression, expression_sql) @@ -5451,8 +5500,8 @@ Default: True -
    617    def describe_sql(self, expression: exp.Describe) -> str:
    -618        return f"DESCRIBE {self.sql(expression, 'this')}"
    +            
    624    def describe_sql(self, expression: exp.Describe) -> str:
    +625        return f"DESCRIBE {self.sql(expression, 'this')}"
     
    @@ -5470,11 +5519,11 @@ Default: True
    -
    620    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
    -621        with_ = self.sql(expression, "with")
    -622        if with_:
    -623            sql = f"{with_}{self.sep()}{sql}"
    -624        return sql
    +            
    627    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
    +628        with_ = self.sql(expression, "with")
    +629        if with_:
    +630            sql = f"{with_}{self.sep()}{sql}"
    +631        return sql
     
    @@ -5492,11 +5541,11 @@ Default: True
    -
    626    def with_sql(self, expression: exp.With) -> str:
    -627        sql = self.expressions(expression, flat=True)
    -628        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
    -629
    -630        return f"WITH {recursive}{sql}"
    +            
    633    def with_sql(self, expression: exp.With) -> str:
    +634        sql = self.expressions(expression, flat=True)
    +635        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
    +636
    +637        return f"WITH {recursive}{sql}"
     
    @@ -5514,9 +5563,9 @@ Default: True
    -
    632    def cte_sql(self, expression: exp.CTE) -> str:
    -633        alias = self.sql(expression, "alias")
    -634        return f"{alias} AS {self.wrap(expression)}"
    +            
    639    def cte_sql(self, expression: exp.CTE) -> str:
    +640        alias = self.sql(expression, "alias")
    +641        return f"{alias} AS {self.wrap(expression)}"
     
    @@ -5534,11 +5583,11 @@ Default: True
    -
    636    def tablealias_sql(self, expression: exp.TableAlias) -> str:
    -637        alias = self.sql(expression, "this")
    -638        columns = self.expressions(expression, key="columns", flat=True)
    -639        columns = f"({columns})" if columns else ""
    -640        return f"{alias}{columns}"
    +            
    643    def tablealias_sql(self, expression: exp.TableAlias) -> str:
    +644        alias = self.sql(expression, "this")
    +645        columns = self.expressions(expression, key="columns", flat=True)
    +646        columns = f"({columns})" if columns else ""
    +647        return f"{alias}{columns}"
     
    @@ -5556,8 +5605,8 @@ Default: True
    -
    642    def bitstring_sql(self, expression: exp.BitString) -> str:
    -643        return self.sql(expression, "this")
    +            
    649    def bitstring_sql(self, expression: exp.BitString) -> str:
    +650        return self.sql(expression, "this")
     
    @@ -5575,8 +5624,8 @@ Default: True
    -
    645    def hexstring_sql(self, expression: exp.HexString) -> str:
    -646        return self.sql(expression, "this")
    +            
    652    def hexstring_sql(self, expression: exp.HexString) -> str:
    +653        return self.sql(expression, "this")
     
    @@ -5594,24 +5643,24 @@ Default: True
    -
    648    def datatype_sql(self, expression: exp.DataType) -> str:
    -649        type_value = expression.this
    -650        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
    -651        nested = ""
    -652        interior = self.expressions(expression, flat=True)
    -653        values = ""
    -654        if interior:
    -655            if expression.args.get("nested"):
    -656                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
    -657                if expression.args.get("values") is not None:
    -658                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
    -659                    values = (
    -660                        f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}"
    -661                    )
    -662            else:
    -663                nested = f"({interior})"
    -664
    -665        return f"{type_sql}{nested}{values}"
    +            
    655    def datatype_sql(self, expression: exp.DataType) -> str:
    +656        type_value = expression.this
    +657        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
    +658        nested = ""
    +659        interior = self.expressions(expression, flat=True)
    +660        values = ""
    +661        if interior:
    +662            if expression.args.get("nested"):
    +663                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
    +664                if expression.args.get("values") is not None:
    +665                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
    +666                    values = (
    +667                        f"{delimiters[0]}{self.expressions(expression, 'values')}{delimiters[1]}"
    +668                    )
    +669            else:
    +670                nested = f"({interior})"
    +671
    +672        return f"{type_sql}{nested}{values}"
     
    @@ -5629,11 +5678,11 @@ Default: True
    -
    667    def directory_sql(self, expression: exp.Directory) -> str:
    -668        local = "LOCAL " if expression.args.get("local") else ""
    -669        row_format = self.sql(expression, "row_format")
    -670        row_format = f" {row_format}" if row_format else ""
    -671        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
    +            
    674    def directory_sql(self, expression: exp.Directory) -> str:
    +675        local = "LOCAL " if expression.args.get("local") else ""
    +676        row_format = self.sql(expression, "row_format")
    +677        row_format = f" {row_format}" if row_format else ""
    +678        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
     
    @@ -5651,17 +5700,17 @@ Default: True
    -
    673    def delete_sql(self, expression: exp.Delete) -> str:
    -674        this = self.sql(expression, "this")
    -675        this = f" FROM {this}" if this else ""
    -676        using_sql = (
    -677            f" USING {self.expressions(expression, 'using', sep=', USING ')}"
    -678            if expression.args.get("using")
    -679            else ""
    -680        )
    -681        where_sql = self.sql(expression, "where")
    -682        sql = f"DELETE{this}{using_sql}{where_sql}"
    -683        return self.prepend_ctes(expression, sql)
    +            
    680    def delete_sql(self, expression: exp.Delete) -> str:
    +681        this = self.sql(expression, "this")
    +682        this = f" FROM {this}" if this else ""
    +683        using_sql = (
    +684            f" USING {self.expressions(expression, 'using', sep=', USING ')}"
    +685            if expression.args.get("using")
    +686            else ""
    +687        )
    +688        where_sql = self.sql(expression, "where")
    +689        sql = f"DELETE{this}{using_sql}{where_sql}"
    +690        return self.prepend_ctes(expression, sql)
     
    @@ -5679,14 +5728,14 @@ Default: True
    -
    685    def drop_sql(self, expression: exp.Drop) -> str:
    -686        this = self.sql(expression, "this")
    -687        kind = expression.args["kind"]
    -688        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
    -689        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
    -690        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
    -691        cascade = " CASCADE" if expression.args.get("cascade") else ""
    -692        return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}"
    +            
    692    def drop_sql(self, expression: exp.Drop) -> str:
    +693        this = self.sql(expression, "this")
    +694        kind = expression.args["kind"]
    +695        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
    +696        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
    +697        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
    +698        cascade = " CASCADE" if expression.args.get("cascade") else ""
    +699        return f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}"
     
    @@ -5704,11 +5753,11 @@ Default: True
    -
    694    def except_sql(self, expression: exp.Except) -> str:
    -695        return self.prepend_ctes(
    -696            expression,
    -697            self.set_operation(expression, self.except_op(expression)),
    -698        )
    +            
    701    def except_sql(self, expression: exp.Except) -> str:
    +702        return self.prepend_ctes(
    +703            expression,
    +704            self.set_operation(expression, self.except_op(expression)),
    +705        )
     
    @@ -5726,8 +5775,8 @@ Default: True
    -
    700    def except_op(self, expression: exp.Except) -> str:
    -701        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
    +            
    707    def except_op(self, expression: exp.Except) -> str:
    +708        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
     
    @@ -5745,12 +5794,12 @@ Default: True
    -
    703    def fetch_sql(self, expression: exp.Fetch) -> str:
    -704        direction = expression.args.get("direction")
    -705        direction = f" {direction.upper()}" if direction else ""
    -706        count = expression.args.get("count")
    -707        count = f" {count}" if count else ""
    -708        return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY"
    +            
    710    def fetch_sql(self, expression: exp.Fetch) -> str:
    +711        direction = expression.args.get("direction")
    +712        direction = f" {direction.upper()}" if direction else ""
    +713        count = expression.args.get("count")
    +714        count = f" {count}" if count else ""
    +715        return f"{self.seg('FETCH')}{direction}{count} ROWS ONLY"
     
    @@ -5768,10 +5817,10 @@ Default: True
    -
    710    def filter_sql(self, expression: exp.Filter) -> str:
    -711        this = self.sql(expression, "this")
    -712        where = self.sql(expression, "expression")[1:]  # where has a leading space
    -713        return f"{this} FILTER({where})"
    +            
    717    def filter_sql(self, expression: exp.Filter) -> str:
    +718        this = self.sql(expression, "this")
    +719        where = self.sql(expression, "expression")[1:]  # where has a leading space
    +720        return f"{this} FILTER({where})"
     
    @@ -5789,10 +5838,10 @@ Default: True
    -
    715    def hint_sql(self, expression: exp.Hint) -> str:
    -716        if self.sql(expression, "this"):
    -717            self.unsupported("Hints are not supported")
    -718        return ""
    +            
    722    def hint_sql(self, expression: exp.Hint) -> str:
    +723        if self.sql(expression, "this"):
    +724            self.unsupported("Hints are not supported")
    +725        return ""
     
    @@ -5810,11 +5859,11 @@ Default: True
    -
    720    def index_sql(self, expression: exp.Index) -> str:
    -721        this = self.sql(expression, "this")
    -722        table = self.sql(expression, "table")
    -723        columns = self.sql(expression, "columns")
    -724        return f"{this} ON {table} {columns}"
    +            
    727    def index_sql(self, expression: exp.Index) -> str:
    +728        this = self.sql(expression, "this")
    +729        table = self.sql(expression, "table")
    +730        columns = self.sql(expression, "columns")
    +731        return f"{this} ON {table} {columns}"
     
    @@ -5832,13 +5881,13 @@ Default: True
    -
    726    def identifier_sql(self, expression: exp.Identifier) -> str:
    -727        text = expression.name
    -728        text = text.lower() if self.normalize else text
    -729        text = text.replace(self.identifier_end, self._escaped_identifier_end)
    -730        if expression.args.get("quoted") or self.identify:
    -731            text = f"{self.identifier_start}{text}{self.identifier_end}"
    -732        return text
    +            
    733    def identifier_sql(self, expression: exp.Identifier) -> str:
    +734        text = expression.name
    +735        text = text.lower() if self.normalize else text
    +736        text = text.replace(self.identifier_end, self._escaped_identifier_end)
    +737        if expression.args.get("quoted") or self.identify:
    +738            text = f"{self.identifier_start}{text}{self.identifier_end}"
    +739        return text
     
    @@ -5856,8 +5905,8 @@ Default: True
    -
    734    def national_sql(self, expression: exp.National) -> str:
    -735        return f"N{self.sql(expression, 'this')}"
    +            
    741    def national_sql(self, expression: exp.National) -> str:
    +742        return f"N{self.sql(expression, 'this')}"
     
    @@ -5875,8 +5924,8 @@ Default: True
    -
    737    def partition_sql(self, expression: exp.Partition) -> str:
    -738        return f"PARTITION({self.expressions(expression)})"
    +            
    744    def partition_sql(self, expression: exp.Partition) -> str:
    +745        return f"PARTITION({self.expressions(expression)})"
     
    @@ -5894,20 +5943,20 @@ Default: True
    -
    740    def properties_sql(self, expression: exp.Properties) -> str:
    -741        root_properties = []
    -742        with_properties = []
    -743
    -744        for p in expression.expressions:
    -745            p_loc = self.PROPERTIES_LOCATION[p.__class__]
    -746            if p_loc == exp.Properties.Location.POST_WITH:
    -747                with_properties.append(p)
    -748            elif p_loc == exp.Properties.Location.POST_SCHEMA:
    -749                root_properties.append(p)
    +            
    747    def properties_sql(self, expression: exp.Properties) -> str:
    +748        root_properties = []
    +749        with_properties = []
     750
    -751        return self.root_properties(
    -752            exp.Properties(expressions=root_properties)
    -753        ) + self.with_properties(exp.Properties(expressions=with_properties))
    +751        for p in expression.expressions:
    +752            p_loc = self.PROPERTIES_LOCATION[p.__class__]
    +753            if p_loc == exp.Properties.Location.POST_WITH:
    +754                with_properties.append(p)
    +755            elif p_loc == exp.Properties.Location.POST_SCHEMA:
    +756                root_properties.append(p)
    +757
    +758        return self.root_properties(
    +759            exp.Properties(expressions=root_properties)
    +760        ) + self.with_properties(exp.Properties(expressions=with_properties))
     
    @@ -5925,10 +5974,10 @@ Default: True
    -
    755    def root_properties(self, properties: exp.Properties) -> str:
    -756        if properties.expressions:
    -757            return self.sep() + self.expressions(properties, indent=False, sep=" ")
    -758        return ""
    +            
    762    def root_properties(self, properties: exp.Properties) -> str:
    +763        if properties.expressions:
    +764            return self.sep() + self.expressions(properties, indent=False, sep=" ")
    +765        return ""
     
    @@ -5946,19 +5995,19 @@ Default: True
    -
    760    def properties(
    -761        self,
    -762        properties: exp.Properties,
    -763        prefix: str = "",
    -764        sep: str = ", ",
    -765        suffix: str = "",
    -766        wrapped: bool = True,
    -767    ) -> str:
    -768        if properties.expressions:
    -769            expressions = self.expressions(properties, sep=sep, indent=False)
    -770            expressions = self.wrap(expressions) if wrapped else expressions
    -771            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
    -772        return ""
    +            
    767    def properties(
    +768        self,
    +769        properties: exp.Properties,
    +770        prefix: str = "",
    +771        sep: str = ", ",
    +772        suffix: str = "",
    +773        wrapped: bool = True,
    +774    ) -> str:
    +775        if properties.expressions:
    +776            expressions = self.expressions(properties, sep=sep, indent=False)
    +777            expressions = self.wrap(expressions) if wrapped else expressions
    +778            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
    +779        return ""
     
    @@ -5976,8 +6025,8 @@ Default: True
    -
    774    def with_properties(self, properties: exp.Properties) -> str:
    -775        return self.properties(properties, prefix=self.seg("WITH"))
    +            
    781    def with_properties(self, properties: exp.Properties) -> str:
    +782        return self.properties(properties, prefix=self.seg("WITH"))
     
    @@ -5995,33 +6044,33 @@ Default: True
    -
    777    def locate_properties(
    -778        self, properties: exp.Properties
    -779    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
    -780        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
    -781            key: [] for key in exp.Properties.Location
    -782        }
    -783
    -784        for p in properties.expressions:
    -785            p_loc = self.PROPERTIES_LOCATION[p.__class__]
    -786            if p_loc == exp.Properties.Location.POST_NAME:
    -787                properties_locs[exp.Properties.Location.POST_NAME].append(p)
    -788            elif p_loc == exp.Properties.Location.POST_INDEX:
    -789                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
    -790            elif p_loc == exp.Properties.Location.POST_SCHEMA:
    -791                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
    -792            elif p_loc == exp.Properties.Location.POST_WITH:
    -793                properties_locs[exp.Properties.Location.POST_WITH].append(p)
    -794            elif p_loc == exp.Properties.Location.POST_CREATE:
    -795                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
    -796            elif p_loc == exp.Properties.Location.POST_ALIAS:
    -797                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
    -798            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
    -799                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
    -800            elif p_loc == exp.Properties.Location.UNSUPPORTED:
    -801                self.unsupported(f"Unsupported property {p.key}")
    -802
    -803        return properties_locs
    +            
    784    def locate_properties(
    +785        self, properties: exp.Properties
    +786    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
    +787        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
    +788            key: [] for key in exp.Properties.Location
    +789        }
    +790
    +791        for p in properties.expressions:
    +792            p_loc = self.PROPERTIES_LOCATION[p.__class__]
    +793            if p_loc == exp.Properties.Location.POST_NAME:
    +794                properties_locs[exp.Properties.Location.POST_NAME].append(p)
    +795            elif p_loc == exp.Properties.Location.POST_INDEX:
    +796                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
    +797            elif p_loc == exp.Properties.Location.POST_SCHEMA:
    +798                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
    +799            elif p_loc == exp.Properties.Location.POST_WITH:
    +800                properties_locs[exp.Properties.Location.POST_WITH].append(p)
    +801            elif p_loc == exp.Properties.Location.POST_CREATE:
    +802                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
    +803            elif p_loc == exp.Properties.Location.POST_ALIAS:
    +804                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
    +805            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
    +806                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
    +807            elif p_loc == exp.Properties.Location.UNSUPPORTED:
    +808                self.unsupported(f"Unsupported property {p.key}")
    +809
    +810        return properties_locs
     
    @@ -6039,16 +6088,16 @@ Default: True
    -
    805    def property_sql(self, expression: exp.Property) -> str:
    -806        property_cls = expression.__class__
    -807        if property_cls == exp.Property:
    -808            return f"{expression.name}={self.sql(expression, 'value')}"
    -809
    -810        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
    -811        if not property_name:
    -812            self.unsupported(f"Unsupported property {expression.key}")
    -813
    -814        return f"{property_name}={self.sql(expression, 'this')}"
    +            
    812    def property_sql(self, expression: exp.Property) -> str:
    +813        property_cls = expression.__class__
    +814        if property_cls == exp.Property:
    +815            return f"{expression.name}={self.sql(expression, 'value')}"
    +816
    +817        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
    +818        if not property_name:
    +819            self.unsupported(f"Unsupported property {expression.key}")
    +820
    +821        return f"{property_name}={self.sql(expression, 'this')}"
     
    @@ -6066,10 +6115,10 @@ Default: True
    -
    816    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
    -817        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
    -818        options = f" {options}" if options else ""
    -819        return f"LIKE {self.sql(expression, 'this')}{options}"
    +            
    823    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
    +824        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
    +825        options = f" {options}" if options else ""
    +826        return f"LIKE {self.sql(expression, 'this')}{options}"
     
    @@ -6087,10 +6136,10 @@ Default: True
    -
    821    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
    -822        no = "NO " if expression.args.get("no") else ""
    -823        protection = " PROTECTION" if expression.args.get("protection") else ""
    -824        return f"{no}FALLBACK{protection}"
    +            
    828    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
    +829        no = "NO " if expression.args.get("no") else ""
    +830        protection = " PROTECTION" if expression.args.get("protection") else ""
    +831        return f"{no}FALLBACK{protection}"
     
    @@ -6108,11 +6157,11 @@ Default: True
    -
    826    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
    -827        no = "NO " if expression.args.get("no") else ""
    -828        dual = "DUAL " if expression.args.get("dual") else ""
    -829        before = "BEFORE " if expression.args.get("before") else ""
    -830        return f"{no}{dual}{before}JOURNAL"
    +            
    833    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
    +834        no = "NO " if expression.args.get("no") else ""
    +835        dual = "DUAL " if expression.args.get("dual") else ""
    +836        before = "BEFORE " if expression.args.get("before") else ""
    +837        return f"{no}{dual}{before}JOURNAL"
     
    @@ -6130,10 +6179,10 @@ Default: True
    -
    832    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
    -833        freespace = self.sql(expression, "this")
    -834        percent = " PERCENT" if expression.args.get("percent") else ""
    -835        return f"FREESPACE={freespace}{percent}"
    +            
    839    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
    +840        freespace = self.sql(expression, "this")
    +841        percent = " PERCENT" if expression.args.get("percent") else ""
    +842        return f"FREESPACE={freespace}{percent}"
     
    @@ -6151,13 +6200,13 @@ Default: True
    -
    837    def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str:
    -838        no = "NO " if expression.args.get("no") else ""
    -839        dual = "DUAL " if expression.args.get("dual") else ""
    -840        local = ""
    -841        if expression.args.get("local") is not None:
    -842            local = "LOCAL " if expression.args.get("local") else "NOT LOCAL "
    -843        return f"{no}{dual}{local}AFTER JOURNAL"
    +            
    844    def afterjournalproperty_sql(self, expression: exp.AfterJournalProperty) -> str:
    +845        no = "NO " if expression.args.get("no") else ""
    +846        dual = "DUAL " if expression.args.get("dual") else ""
    +847        local = ""
    +848        if expression.args.get("local") is not None:
    +849            local = "LOCAL " if expression.args.get("local") else "NOT LOCAL "
    +850        return f"{no}{dual}{local}AFTER JOURNAL"
     
    @@ -6175,14 +6224,14 @@ Default: True
    -
    845    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
    -846        if expression.args.get("default"):
    -847            property = "DEFAULT"
    -848        elif expression.args.get("on"):
    -849            property = "ON"
    -850        else:
    -851            property = "OFF"
    -852        return f"CHECKSUM={property}"
    +            
    852    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
    +853        if expression.args.get("default"):
    +854            property = "DEFAULT"
    +855        elif expression.args.get("on"):
    +856            property = "ON"
    +857        else:
    +858            property = "OFF"
    +859        return f"CHECKSUM={property}"
     
    @@ -6200,14 +6249,14 @@ Default: True
    -
    854    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
    -855        if expression.args.get("no"):
    -856            return "NO MERGEBLOCKRATIO"
    -857        if expression.args.get("default"):
    -858            return "DEFAULT MERGEBLOCKRATIO"
    -859
    -860        percent = " PERCENT" if expression.args.get("percent") else ""
    -861        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
    +            
    861    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
    +862        if expression.args.get("no"):
    +863            return "NO MERGEBLOCKRATIO"
    +864        if expression.args.get("default"):
    +865            return "DEFAULT MERGEBLOCKRATIO"
    +866
    +867        percent = " PERCENT" if expression.args.get("percent") else ""
    +868        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
     
    @@ -6225,21 +6274,21 @@ Default: True
    -
    863    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
    -864        default = expression.args.get("default")
    -865        min = expression.args.get("min")
    -866        if default is not None or min is not None:
    -867            if default:
    -868                property = "DEFAULT"
    -869            elif min:
    -870                property = "MINIMUM"
    -871            else:
    -872                property = "MAXIMUM"
    -873            return f"{property} DATABLOCKSIZE"
    -874        else:
    -875            units = expression.args.get("units")
    -876            units = f" {units}" if units else ""
    -877            return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
    +            
    870    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
    +871        default = expression.args.get("default")
    +872        min = expression.args.get("min")
    +873        if default is not None or min is not None:
    +874            if default:
    +875                property = "DEFAULT"
    +876            elif min:
    +877                property = "MINIMUM"
    +878            else:
    +879                property = "MAXIMUM"
    +880            return f"{property} DATABLOCKSIZE"
    +881        else:
    +882            units = expression.args.get("units")
    +883            units = f" {units}" if units else ""
    +884            return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
     
    @@ -6257,24 +6306,24 @@ Default: True
    -
    879    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
    -880        autotemp = expression.args.get("autotemp")
    -881        always = expression.args.get("always")
    -882        default = expression.args.get("default")
    -883        manual = expression.args.get("manual")
    -884        never = expression.args.get("never")
    -885
    -886        if autotemp is not None:
    -887            property = f"AUTOTEMP({self.expressions(autotemp)})"
    -888        elif always:
    -889            property = "ALWAYS"
    -890        elif default:
    -891            property = "DEFAULT"
    -892        elif manual:
    -893            property = "MANUAL"
    -894        elif never:
    -895            property = "NEVER"
    -896        return f"BLOCKCOMPRESSION={property}"
    +            
    886    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
    +887        autotemp = expression.args.get("autotemp")
    +888        always = expression.args.get("always")
    +889        default = expression.args.get("default")
    +890        manual = expression.args.get("manual")
    +891        never = expression.args.get("never")
    +892
    +893        if autotemp is not None:
    +894            property = f"AUTOTEMP({self.expressions(autotemp)})"
    +895        elif always:
    +896            property = "ALWAYS"
    +897        elif default:
    +898            property = "DEFAULT"
    +899        elif manual:
    +900            property = "MANUAL"
    +901        elif never:
    +902            property = "NEVER"
    +903        return f"BLOCKCOMPRESSION={property}"
     
    @@ -6292,20 +6341,20 @@ Default: True
    -
    898    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
    -899        no = expression.args.get("no")
    -900        no = " NO" if no else ""
    -901        concurrent = expression.args.get("concurrent")
    -902        concurrent = " CONCURRENT" if concurrent else ""
    -903
    -904        for_ = ""
    -905        if expression.args.get("for_all"):
    -906            for_ = " FOR ALL"
    -907        elif expression.args.get("for_insert"):
    -908            for_ = " FOR INSERT"
    -909        elif expression.args.get("for_none"):
    -910            for_ = " FOR NONE"
    -911        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
    +            
    905    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
    +906        no = expression.args.get("no")
    +907        no = " NO" if no else ""
    +908        concurrent = expression.args.get("concurrent")
    +909        concurrent = " CONCURRENT" if concurrent else ""
    +910
    +911        for_ = ""
    +912        if expression.args.get("for_all"):
    +913            for_ = " FOR ALL"
    +914        elif expression.args.get("for_insert"):
    +915            for_ = " FOR INSERT"
    +916        elif expression.args.get("for_none"):
    +917            for_ = " FOR NONE"
    +918        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
     
    @@ -6323,13 +6372,13 @@ Default: True
    -
    913    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
    -914        kind = expression.args.get("kind")
    -915        this: str = f" {this}" if expression.this else ""
    -916        for_or_in = expression.args.get("for_or_in")
    -917        lock_type = expression.args.get("lock_type")
    -918        override = " OVERRIDE" if expression.args.get("override") else ""
    -919        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
    +            
    920    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
    +921        kind = expression.args.get("kind")
    +922        this: str = f" {this}" if expression.this else ""
    +923        for_or_in = expression.args.get("for_or_in")
    +924        lock_type = expression.args.get("lock_type")
    +925        override = " OVERRIDE" if expression.args.get("override") else ""
    +926        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
     
    @@ -6347,13 +6396,13 @@ Default: True
    -
    921    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
    -922        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
    -923        statistics = expression.args.get("statistics")
    -924        statistics_sql = ""
    -925        if statistics is not None:
    -926            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
    -927        return f"{data_sql}{statistics_sql}"
    +            
    928    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
    +929        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
    +930        statistics = expression.args.get("statistics")
    +931        statistics_sql = ""
    +932        if statistics is not None:
    +933            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
    +934        return f"{data_sql}{statistics_sql}"
     
    @@ -6371,26 +6420,26 @@ Default: True
    -
    929    def insert_sql(self, expression: exp.Insert) -> str:
    -930        overwrite = expression.args.get("overwrite")
    -931
    -932        if isinstance(expression.this, exp.Directory):
    -933            this = "OVERWRITE " if overwrite else "INTO "
    -934        else:
    -935            this = "OVERWRITE TABLE " if overwrite else "INTO "
    -936
    -937        alternative = expression.args.get("alternative")
    -938        alternative = f" OR {alternative} " if alternative else " "
    -939        this = f"{this}{self.sql(expression, 'this')}"
    -940
    -941        exists = " IF EXISTS " if expression.args.get("exists") else " "
    -942        partition_sql = (
    -943            self.sql(expression, "partition") if expression.args.get("partition") else ""
    -944        )
    -945        expression_sql = self.sql(expression, "expression")
    -946        sep = self.sep() if partition_sql else ""
    -947        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}"
    -948        return self.prepend_ctes(expression, sql)
    +            
    936    def insert_sql(self, expression: exp.Insert) -> str:
    +937        overwrite = expression.args.get("overwrite")
    +938
    +939        if isinstance(expression.this, exp.Directory):
    +940            this = "OVERWRITE " if overwrite else "INTO "
    +941        else:
    +942            this = "OVERWRITE TABLE " if overwrite else "INTO "
    +943
    +944        alternative = expression.args.get("alternative")
    +945        alternative = f" OR {alternative} " if alternative else " "
    +946        this = f"{this}{self.sql(expression, 'this')}"
    +947
    +948        exists = " IF EXISTS " if expression.args.get("exists") else " "
    +949        partition_sql = (
    +950            self.sql(expression, "partition") if expression.args.get("partition") else ""
    +951        )
    +952        expression_sql = self.sql(expression, "expression")
    +953        sep = self.sep() if partition_sql else ""
    +954        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}"
    +955        return self.prepend_ctes(expression, sql)
     
    @@ -6408,11 +6457,11 @@ Default: True
    -
    950    def intersect_sql(self, expression: exp.Intersect) -> str:
    -951        return self.prepend_ctes(
    -952            expression,
    -953            self.set_operation(expression, self.intersect_op(expression)),
    -954        )
    +            
    957    def intersect_sql(self, expression: exp.Intersect) -> str:
    +958        return self.prepend_ctes(
    +959            expression,
    +960            self.set_operation(expression, self.intersect_op(expression)),
    +961        )
     
    @@ -6430,8 +6479,8 @@ Default: True
    -
    956    def intersect_op(self, expression: exp.Intersect) -> str:
    -957        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
    +            
    963    def intersect_op(self, expression: exp.Intersect) -> str:
    +964        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
     
    @@ -6449,8 +6498,8 @@ Default: True
    -
    959    def introducer_sql(self, expression: exp.Introducer) -> str:
    -960        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
    +            
    966    def introducer_sql(self, expression: exp.Introducer) -> str:
    +967        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
     
    @@ -6468,8 +6517,8 @@ Default: True
    -
    962    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
    -963        return expression.name.upper()
    +            
    969    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
    +970        return expression.name.upper()
     
    @@ -6487,20 +6536,20 @@ Default: True
    -
    965    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
    -966        fields = expression.args.get("fields")
    -967        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
    -968        escaped = expression.args.get("escaped")
    -969        escaped = f" ESCAPED BY {escaped}" if escaped else ""
    -970        items = expression.args.get("collection_items")
    -971        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
    -972        keys = expression.args.get("map_keys")
    -973        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
    -974        lines = expression.args.get("lines")
    -975        lines = f" LINES TERMINATED BY {lines}" if lines else ""
    -976        null = expression.args.get("null")
    -977        null = f" NULL DEFINED AS {null}" if null else ""
    -978        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
    +            
    972    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
    +973        fields = expression.args.get("fields")
    +974        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
    +975        escaped = expression.args.get("escaped")
    +976        escaped = f" ESCAPED BY {escaped}" if escaped else ""
    +977        items = expression.args.get("collection_items")
    +978        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
    +979        keys = expression.args.get("map_keys")
    +980        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
    +981        lines = expression.args.get("lines")
    +982        lines = f" LINES TERMINATED BY {lines}" if lines else ""
    +983        null = expression.args.get("null")
    +984        null = f" NULL DEFINED AS {null}" if null else ""
    +985        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
     
    @@ -6518,28 +6567,28 @@ Default: True
    -
     980    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
    - 981        table = ".".join(
    - 982            part
    - 983            for part in [
    - 984                self.sql(expression, "catalog"),
    - 985                self.sql(expression, "db"),
    - 986                self.sql(expression, "this"),
    - 987            ]
    - 988            if part
    - 989        )
    - 990
    - 991        alias = self.sql(expression, "alias")
    - 992        alias = f"{sep}{alias}" if alias else ""
    - 993        hints = self.expressions(expression, key="hints", sep=", ", flat=True)
    - 994        hints = f" WITH ({hints})" if hints else ""
    - 995        laterals = self.expressions(expression, key="laterals", sep="")
    - 996        joins = self.expressions(expression, key="joins", sep="")
    - 997        pivots = self.expressions(expression, key="pivots", sep="")
    - 998        system_time = expression.args.get("system_time")
    - 999        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
    -1000
    -1001        return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}"
    +            
     987    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
    + 988        table = ".".join(
    + 989            part
    + 990            for part in [
    + 991                self.sql(expression, "catalog"),
    + 992                self.sql(expression, "db"),
    + 993                self.sql(expression, "this"),
    + 994            ]
    + 995            if part
    + 996        )
    + 997
    + 998        alias = self.sql(expression, "alias")
    + 999        alias = f"{sep}{alias}" if alias else ""
    +1000        hints = self.expressions(expression, key="hints", sep=", ", flat=True)
    +1001        hints = f" WITH ({hints})" if hints else ""
    +1002        laterals = self.expressions(expression, key="laterals", sep="")
    +1003        joins = self.expressions(expression, key="joins", sep="")
    +1004        pivots = self.expressions(expression, key="pivots", sep="")
    +1005        system_time = expression.args.get("system_time")
    +1006        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
    +1007
    +1008        return f"{table}{system_time}{alias}{hints}{laterals}{joins}{pivots}"
     
    @@ -6557,28 +6606,28 @@ Default: True
    -
    1003    def tablesample_sql(self, expression: exp.TableSample) -> str:
    -1004        if self.alias_post_tablesample and expression.this.alias:
    -1005            this = self.sql(expression.this, "this")
    -1006            alias = f" AS {self.sql(expression.this, 'alias')}"
    -1007        else:
    -1008            this = self.sql(expression, "this")
    -1009            alias = ""
    -1010        method = self.sql(expression, "method")
    -1011        method = f" {method.upper()} " if method else ""
    -1012        numerator = self.sql(expression, "bucket_numerator")
    -1013        denominator = self.sql(expression, "bucket_denominator")
    -1014        field = self.sql(expression, "bucket_field")
    -1015        field = f" ON {field}" if field else ""
    -1016        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
    -1017        percent = self.sql(expression, "percent")
    -1018        percent = f"{percent} PERCENT" if percent else ""
    -1019        rows = self.sql(expression, "rows")
    -1020        rows = f"{rows} ROWS" if rows else ""
    -1021        size = self.sql(expression, "size")
    -1022        seed = self.sql(expression, "seed")
    -1023        seed = f" SEED ({seed})" if seed else ""
    -1024        return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}"
    +            
    1010    def tablesample_sql(self, expression: exp.TableSample) -> str:
    +1011        if self.alias_post_tablesample and expression.this.alias:
    +1012            this = self.sql(expression.this, "this")
    +1013            alias = f" AS {self.sql(expression.this, 'alias')}"
    +1014        else:
    +1015            this = self.sql(expression, "this")
    +1016            alias = ""
    +1017        method = self.sql(expression, "method")
    +1018        method = f" {method.upper()} " if method else ""
    +1019        numerator = self.sql(expression, "bucket_numerator")
    +1020        denominator = self.sql(expression, "bucket_denominator")
    +1021        field = self.sql(expression, "bucket_field")
    +1022        field = f" ON {field}" if field else ""
    +1023        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
    +1024        percent = self.sql(expression, "percent")
    +1025        percent = f"{percent} PERCENT" if percent else ""
    +1026        rows = self.sql(expression, "rows")
    +1027        rows = f"{rows} ROWS" if rows else ""
    +1028        size = self.sql(expression, "size")
    +1029        seed = self.sql(expression, "seed")
    +1030        seed = f" SEED ({seed})" if seed else ""
    +1031        return f"{this} TABLESAMPLE{method}({bucket}{percent}{rows}{size}){seed}{alias}"
     
    @@ -6596,15 +6645,15 @@ Default: True
    -
    1026    def pivot_sql(self, expression: exp.Pivot) -> str:
    -1027        this = self.sql(expression, "this")
    -1028        alias = self.sql(expression, "alias")
    -1029        alias = f" AS {alias}" if alias else ""
    -1030        unpivot = expression.args.get("unpivot")
    -1031        direction = "UNPIVOT" if unpivot else "PIVOT"
    -1032        expressions = self.expressions(expression, key="expressions")
    -1033        field = self.sql(expression, "field")
    -1034        return f"{this} {direction}({expressions} FOR {field}){alias}"
    +            
    1033    def pivot_sql(self, expression: exp.Pivot) -> str:
    +1034        this = self.sql(expression, "this")
    +1035        alias = self.sql(expression, "alias")
    +1036        alias = f" AS {alias}" if alias else ""
    +1037        unpivot = expression.args.get("unpivot")
    +1038        direction = "UNPIVOT" if unpivot else "PIVOT"
    +1039        expressions = self.expressions(expression, key="expressions")
    +1040        field = self.sql(expression, "field")
    +1041        return f"{this} {direction}({expressions} FOR {field}){alias}"
     
    @@ -6622,8 +6671,8 @@ Default: True
    -
    1036    def tuple_sql(self, expression: exp.Tuple) -> str:
    -1037        return f"({self.expressions(expression, flat=True)})"
    +            
    1043    def tuple_sql(self, expression: exp.Tuple) -> str:
    +1044        return f"({self.expressions(expression, flat=True)})"
     
    @@ -6641,13 +6690,13 @@ Default: True
    -
    1039    def update_sql(self, expression: exp.Update) -> str:
    -1040        this = self.sql(expression, "this")
    -1041        set_sql = self.expressions(expression, flat=True)
    -1042        from_sql = self.sql(expression, "from")
    -1043        where_sql = self.sql(expression, "where")
    -1044        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}"
    -1045        return self.prepend_ctes(expression, sql)
    +            
    1046    def update_sql(self, expression: exp.Update) -> str:
    +1047        this = self.sql(expression, "this")
    +1048        set_sql = self.expressions(expression, flat=True)
    +1049        from_sql = self.sql(expression, "from")
    +1050        where_sql = self.sql(expression, "where")
    +1051        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}"
    +1052        return self.prepend_ctes(expression, sql)
     
    @@ -6665,16 +6714,16 @@ Default: True
    -
    1047    def values_sql(self, expression: exp.Values) -> str:
    -1048        args = self.expressions(expression)
    -1049        alias = self.sql(expression, "alias")
    -1050        values = f"VALUES{self.seg('')}{args}"
    -1051        values = (
    -1052            f"({values})"
    -1053            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
    -1054            else values
    -1055        )
    -1056        return f"{values} AS {alias}" if alias else values
    +            
    1054    def values_sql(self, expression: exp.Values) -> str:
    +1055        args = self.expressions(expression)
    +1056        alias = self.sql(expression, "alias")
    +1057        values = f"VALUES{self.seg('')}{args}"
    +1058        values = (
    +1059            f"({values})"
    +1060            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
    +1061            else values
    +1062        )
    +1063        return f"{values} AS {alias}" if alias else values
     
    @@ -6692,8 +6741,8 @@ Default: True
    -
    1058    def var_sql(self, expression: exp.Var) -> str:
    -1059        return self.sql(expression, "this")
    +            
    1065    def var_sql(self, expression: exp.Var) -> str:
    +1066        return self.sql(expression, "this")
     
    @@ -6711,10 +6760,10 @@ Default: True
    -
    1061    def into_sql(self, expression: exp.Into) -> str:
    -1062        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
    -1063        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
    -1064        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
    +            
    1068    def into_sql(self, expression: exp.Into) -> str:
    +1069        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
    +1070        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
    +1071        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
     
    @@ -6732,9 +6781,9 @@ Default: True
    -
    1066    def from_sql(self, expression: exp.From) -> str:
    -1067        expressions = self.expressions(expression, flat=True)
    -1068        return f"{self.seg('FROM')} {expressions}"
    +            
    1073    def from_sql(self, expression: exp.From) -> str:
    +1074        expressions = self.expressions(expression, flat=True)
    +1075        return f"{self.seg('FROM')} {expressions}"
     
    @@ -6752,33 +6801,33 @@ Default: True
    -
    1070    def group_sql(self, expression: exp.Group) -> str:
    -1071        group_by = self.op_expressions("GROUP BY", expression)
    -1072        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
    -1073        grouping_sets = (
    -1074            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
    -1075        )
    -1076
    -1077        cube = expression.args.get("cube", [])
    -1078        if seq_get(cube, 0) is True:
    -1079            return f"{group_by}{self.seg('WITH CUBE')}"
    -1080        else:
    -1081            cube_sql = self.expressions(expression, key="cube", indent=False)
    -1082            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
    +            
    1077    def group_sql(self, expression: exp.Group) -> str:
    +1078        group_by = self.op_expressions("GROUP BY", expression)
    +1079        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
    +1080        grouping_sets = (
    +1081            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
    +1082        )
     1083
    -1084        rollup = expression.args.get("rollup", [])
    -1085        if seq_get(rollup, 0) is True:
    -1086            return f"{group_by}{self.seg('WITH ROLLUP')}"
    +1084        cube = expression.args.get("cube", [])
    +1085        if seq_get(cube, 0) is True:
    +1086            return f"{group_by}{self.seg('WITH CUBE')}"
     1087        else:
    -1088            rollup_sql = self.expressions(expression, key="rollup", indent=False)
    -1089            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
    +1088            cube_sql = self.expressions(expression, key="cube", indent=False)
    +1089            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
     1090
    -1091        groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",")
    -1092
    -1093        if expression.args.get("expressions") and groupings:
    -1094            group_by = f"{group_by},"
    -1095
    -1096        return f"{group_by}{groupings}"
    +1091        rollup = expression.args.get("rollup", [])
    +1092        if seq_get(rollup, 0) is True:
    +1093            return f"{group_by}{self.seg('WITH ROLLUP')}"
    +1094        else:
    +1095            rollup_sql = self.expressions(expression, key="rollup", indent=False)
    +1096            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
    +1097
    +1098        groupings = csv(grouping_sets, cube_sql, rollup_sql, sep=",")
    +1099
    +1100        if expression.args.get("expressions") and groupings:
    +1101            group_by = f"{group_by},"
    +1102
    +1103        return f"{group_by}{groupings}"
     
    @@ -6796,9 +6845,9 @@ Default: True
    -
    1098    def having_sql(self, expression: exp.Having) -> str:
    -1099        this = self.indent(self.sql(expression, "this"))
    -1100        return f"{self.seg('HAVING')}{self.sep()}{this}"
    +            
    1105    def having_sql(self, expression: exp.Having) -> str:
    +1106        this = self.indent(self.sql(expression, "this"))
    +1107        return f"{self.seg('HAVING')}{self.sep()}{this}"
     
    @@ -6816,36 +6865,36 @@ Default: True
    -
    1102    def join_sql(self, expression: exp.Join) -> str:
    -1103        op_sql = self.seg(
    -1104            " ".join(
    -1105                op
    -1106                for op in (
    -1107                    "NATURAL" if expression.args.get("natural") else None,
    -1108                    expression.side,
    -1109                    expression.kind,
    -1110                    "JOIN",
    -1111                )
    -1112                if op
    -1113            )
    -1114        )
    -1115        on_sql = self.sql(expression, "on")
    -1116        using = expression.args.get("using")
    -1117
    -1118        if not on_sql and using:
    -1119            on_sql = csv(*(self.sql(column) for column in using))
    -1120
    -1121        if on_sql:
    -1122            on_sql = self.indent(on_sql, skip_first=True)
    -1123            space = self.seg(" " * self.pad) if self.pretty else " "
    -1124            if using:
    -1125                on_sql = f"{space}USING ({on_sql})"
    -1126            else:
    -1127                on_sql = f"{space}ON {on_sql}"
    -1128
    -1129        expression_sql = self.sql(expression, "expression")
    -1130        this_sql = self.sql(expression, "this")
    -1131        return f"{expression_sql}{op_sql} {this_sql}{on_sql}"
    +            
    1109    def join_sql(self, expression: exp.Join) -> str:
    +1110        op_sql = self.seg(
    +1111            " ".join(
    +1112                op
    +1113                for op in (
    +1114                    "NATURAL" if expression.args.get("natural") else None,
    +1115                    expression.side,
    +1116                    expression.kind,
    +1117                    "JOIN",
    +1118                )
    +1119                if op
    +1120            )
    +1121        )
    +1122        on_sql = self.sql(expression, "on")
    +1123        using = expression.args.get("using")
    +1124
    +1125        if not on_sql and using:
    +1126            on_sql = csv(*(self.sql(column) for column in using))
    +1127
    +1128        if on_sql:
    +1129            on_sql = self.indent(on_sql, skip_first=True)
    +1130            space = self.seg(" " * self.pad) if self.pretty else " "
    +1131            if using:
    +1132                on_sql = f"{space}USING ({on_sql})"
    +1133            else:
    +1134                on_sql = f"{space}ON {on_sql}"
    +1135
    +1136        expression_sql = self.sql(expression, "expression")
    +1137        this_sql = self.sql(expression, "this")
    +1138        return f"{expression_sql}{op_sql} {this_sql}{on_sql}"
     
    @@ -6863,10 +6912,10 @@ Default: True
    -
    1133    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
    -1134        args = self.expressions(expression, flat=True)
    -1135        args = f"({args})" if len(args.split(",")) > 1 else args
    -1136        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
    +            
    1140    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
    +1141        args = self.expressions(expression, flat=True)
    +1142        args = f"({args})" if len(args.split(",")) > 1 else args
    +1143        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
     
    @@ -6884,23 +6933,23 @@ Default: True
    -
    1138    def lateral_sql(self, expression: exp.Lateral) -> str:
    -1139        this = self.sql(expression, "this")
    -1140
    -1141        if isinstance(expression.this, exp.Subquery):
    -1142            return f"LATERAL {this}"
    -1143
    -1144        if expression.args.get("view"):
    -1145            alias = expression.args["alias"]
    -1146            columns = self.expressions(alias, key="columns", flat=True)
    -1147            table = f" {alias.name}" if alias.name else ""
    -1148            columns = f" AS {columns}" if columns else ""
    -1149            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
    -1150            return f"{op_sql}{self.sep()}{this}{table}{columns}"
    -1151
    -1152        alias = self.sql(expression, "alias")
    -1153        alias = f" AS {alias}" if alias else ""
    -1154        return f"LATERAL {this}{alias}"
    +            
    1145    def lateral_sql(self, expression: exp.Lateral) -> str:
    +1146        this = self.sql(expression, "this")
    +1147
    +1148        if isinstance(expression.this, exp.Subquery):
    +1149            return f"LATERAL {this}"
    +1150
    +1151        if expression.args.get("view"):
    +1152            alias = expression.args["alias"]
    +1153            columns = self.expressions(alias, key="columns", flat=True)
    +1154            table = f" {alias.name}" if alias.name else ""
    +1155            columns = f" AS {columns}" if columns else ""
    +1156            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
    +1157            return f"{op_sql}{self.sep()}{this}{table}{columns}"
    +1158
    +1159        alias = self.sql(expression, "alias")
    +1160        alias = f" AS {alias}" if alias else ""
    +1161        return f"LATERAL {this}{alias}"
     
    @@ -6918,9 +6967,9 @@ Default: True
    -
    1156    def limit_sql(self, expression: exp.Limit) -> str:
    -1157        this = self.sql(expression, "this")
    -1158        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
    +            
    1163    def limit_sql(self, expression: exp.Limit) -> str:
    +1164        this = self.sql(expression, "this")
    +1165        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
     
    @@ -6938,9 +6987,9 @@ Default: True
    -
    1160    def offset_sql(self, expression: exp.Offset) -> str:
    -1161        this = self.sql(expression, "this")
    -1162        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
    +            
    1167    def offset_sql(self, expression: exp.Offset) -> str:
    +1168        this = self.sql(expression, "this")
    +1169        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
     
    @@ -6958,13 +7007,13 @@ Default: True
    -
    1164    def lock_sql(self, expression: exp.Lock) -> str:
    -1165        if self.LOCKING_READS_SUPPORTED:
    -1166            lock_type = "UPDATE" if expression.args["update"] else "SHARE"
    -1167            return self.seg(f"FOR {lock_type}")
    -1168
    -1169        self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
    -1170        return ""
    +            
    1171    def lock_sql(self, expression: exp.Lock) -> str:
    +1172        if self.LOCKING_READS_SUPPORTED:
    +1173            lock_type = "UPDATE" if expression.args["update"] else "SHARE"
    +1174            return self.seg(f"FOR {lock_type}")
    +1175
    +1176        self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
    +1177        return ""
     
    @@ -6982,14 +7031,14 @@ Default: True
    -
    1172    def literal_sql(self, expression: exp.Literal) -> str:
    -1173        text = expression.this or ""
    -1174        if expression.is_string:
    -1175            text = text.replace(self.quote_end, self._escaped_quote_end)
    -1176            if self.pretty:
    -1177                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
    -1178            text = f"{self.quote_start}{text}{self.quote_end}"
    -1179        return text
    +            
    1179    def literal_sql(self, expression: exp.Literal) -> str:
    +1180        text = expression.this or ""
    +1181        if expression.is_string:
    +1182            text = text.replace(self.quote_end, self._escaped_quote_end)
    +1183            if self.pretty:
    +1184                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
    +1185            text = f"{self.quote_start}{text}{self.quote_end}"
    +1186        return text
     
    @@ -7007,18 +7056,18 @@ Default: True
    -
    1181    def loaddata_sql(self, expression: exp.LoadData) -> str:
    -1182        local = " LOCAL" if expression.args.get("local") else ""
    -1183        inpath = f" INPATH {self.sql(expression, 'inpath')}"
    -1184        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
    -1185        this = f" INTO TABLE {self.sql(expression, 'this')}"
    -1186        partition = self.sql(expression, "partition")
    -1187        partition = f" {partition}" if partition else ""
    -1188        input_format = self.sql(expression, "input_format")
    -1189        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
    -1190        serde = self.sql(expression, "serde")
    -1191        serde = f" SERDE {serde}" if serde else ""
    -1192        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
    +            
    1188    def loaddata_sql(self, expression: exp.LoadData) -> str:
    +1189        local = " LOCAL" if expression.args.get("local") else ""
    +1190        inpath = f" INPATH {self.sql(expression, 'inpath')}"
    +1191        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
    +1192        this = f" INTO TABLE {self.sql(expression, 'this')}"
    +1193        partition = self.sql(expression, "partition")
    +1194        partition = f" {partition}" if partition else ""
    +1195        input_format = self.sql(expression, "input_format")
    +1196        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
    +1197        serde = self.sql(expression, "serde")
    +1198        serde = f" SERDE {serde}" if serde else ""
    +1199        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
     
    @@ -7036,8 +7085,8 @@ Default: True
    -
    1194    def null_sql(self, *_) -> str:
    -1195        return "NULL"
    +            
    1201    def null_sql(self, *_) -> str:
    +1202        return "NULL"
     
    @@ -7055,8 +7104,8 @@ Default: True
    -
    1197    def boolean_sql(self, expression: exp.Boolean) -> str:
    -1198        return "TRUE" if expression.this else "FALSE"
    +            
    1204    def boolean_sql(self, expression: exp.Boolean) -> str:
    +1205        return "TRUE" if expression.this else "FALSE"
     
    @@ -7074,10 +7123,10 @@ Default: True
    -
    1200    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
    -1201        this = self.sql(expression, "this")
    -1202        this = f"{this} " if this else this
    -1203        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
    +            
    1207    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
    +1208        this = self.sql(expression, "this")
    +1209        this = f"{this} " if this else this
    +1210        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
     
    @@ -7095,8 +7144,8 @@ Default: True
    -
    1205    def cluster_sql(self, expression: exp.Cluster) -> str:
    -1206        return self.op_expressions("CLUSTER BY", expression)
    +            
    1212    def cluster_sql(self, expression: exp.Cluster) -> str:
    +1213        return self.op_expressions("CLUSTER BY", expression)
     
    @@ -7114,8 +7163,8 @@ Default: True
    -
    1208    def distribute_sql(self, expression: exp.Distribute) -> str:
    -1209        return self.op_expressions("DISTRIBUTE BY", expression)
    +            
    1215    def distribute_sql(self, expression: exp.Distribute) -> str:
    +1216        return self.op_expressions("DISTRIBUTE BY", expression)
     
    @@ -7133,8 +7182,8 @@ Default: True
    -
    1211    def sort_sql(self, expression: exp.Sort) -> str:
    -1212        return self.op_expressions("SORT BY", expression)
    +            
    1218    def sort_sql(self, expression: exp.Sort) -> str:
    +1219        return self.op_expressions("SORT BY", expression)
     
    @@ -7152,36 +7201,36 @@ Default: True
    -
    1214    def ordered_sql(self, expression: exp.Ordered) -> str:
    -1215        desc = expression.args.get("desc")
    -1216        asc = not desc
    -1217
    -1218        nulls_first = expression.args.get("nulls_first")
    -1219        nulls_last = not nulls_first
    -1220        nulls_are_large = self.null_ordering == "nulls_are_large"
    -1221        nulls_are_small = self.null_ordering == "nulls_are_small"
    -1222        nulls_are_last = self.null_ordering == "nulls_are_last"
    -1223
    -1224        sort_order = " DESC" if desc else ""
    -1225        nulls_sort_change = ""
    -1226        if nulls_first and (
    -1227            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
    -1228        ):
    -1229            nulls_sort_change = " NULLS FIRST"
    -1230        elif (
    -1231            nulls_last
    -1232            and ((asc and nulls_are_small) or (desc and nulls_are_large))
    -1233            and not nulls_are_last
    -1234        ):
    -1235            nulls_sort_change = " NULLS LAST"
    -1236
    -1237        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
    -1238            self.unsupported(
    -1239                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
    -1240            )
    -1241            nulls_sort_change = ""
    -1242
    -1243        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
    +            
    1221    def ordered_sql(self, expression: exp.Ordered) -> str:
    +1222        desc = expression.args.get("desc")
    +1223        asc = not desc
    +1224
    +1225        nulls_first = expression.args.get("nulls_first")
    +1226        nulls_last = not nulls_first
    +1227        nulls_are_large = self.null_ordering == "nulls_are_large"
    +1228        nulls_are_small = self.null_ordering == "nulls_are_small"
    +1229        nulls_are_last = self.null_ordering == "nulls_are_last"
    +1230
    +1231        sort_order = " DESC" if desc else ""
    +1232        nulls_sort_change = ""
    +1233        if nulls_first and (
    +1234            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
    +1235        ):
    +1236            nulls_sort_change = " NULLS FIRST"
    +1237        elif (
    +1238            nulls_last
    +1239            and ((asc and nulls_are_small) or (desc and nulls_are_large))
    +1240            and not nulls_are_last
    +1241        ):
    +1242            nulls_sort_change = " NULLS LAST"
    +1243
    +1244        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
    +1245            self.unsupported(
    +1246                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
    +1247            )
    +1248            nulls_sort_change = ""
    +1249
    +1250        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
     
    @@ -7199,31 +7248,31 @@ Default: True
    -
    1245    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
    -1246        partition = self.partition_by_sql(expression)
    -1247        order = self.sql(expression, "order")
    -1248        measures = self.sql(expression, "measures")
    -1249        measures = self.seg(f"MEASURES {measures}") if measures else ""
    -1250        rows = self.sql(expression, "rows")
    -1251        rows = self.seg(rows) if rows else ""
    -1252        after = self.sql(expression, "after")
    -1253        after = self.seg(after) if after else ""
    -1254        pattern = self.sql(expression, "pattern")
    -1255        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
    -1256        define = self.sql(expression, "define")
    -1257        define = self.seg(f"DEFINE {define}") if define else ""
    -1258        body = "".join(
    -1259            (
    -1260                partition,
    -1261                order,
    -1262                measures,
    -1263                rows,
    -1264                after,
    -1265                pattern,
    -1266                define,
    -1267            )
    -1268        )
    -1269        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}"
    +            
    1252    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
    +1253        partition = self.partition_by_sql(expression)
    +1254        order = self.sql(expression, "order")
    +1255        measures = self.sql(expression, "measures")
    +1256        measures = self.seg(f"MEASURES {measures}") if measures else ""
    +1257        rows = self.sql(expression, "rows")
    +1258        rows = self.seg(rows) if rows else ""
    +1259        after = self.sql(expression, "after")
    +1260        after = self.seg(after) if after else ""
    +1261        pattern = self.sql(expression, "pattern")
    +1262        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
    +1263        define = self.sql(expression, "define")
    +1264        define = self.seg(f"DEFINE {define}") if define else ""
    +1265        body = "".join(
    +1266            (
    +1267                partition,
    +1268                order,
    +1269                measures,
    +1270                rows,
    +1271                after,
    +1272                pattern,
    +1273                define,
    +1274            )
    +1275        )
    +1276        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}"
     
    @@ -7241,28 +7290,28 @@ Default: True
    -
    1271    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    -1272        return csv(
    -1273            *sqls,
    -1274            *[self.sql(sql) for sql in expression.args.get("joins") or []],
    -1275            self.sql(expression, "match"),
    -1276            *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    -1277            self.sql(expression, "where"),
    -1278            self.sql(expression, "group"),
    -1279            self.sql(expression, "having"),
    -1280            self.sql(expression, "qualify"),
    -1281            self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    -1282            if expression.args.get("windows")
    -1283            else "",
    -1284            self.sql(expression, "distribute"),
    -1285            self.sql(expression, "sort"),
    -1286            self.sql(expression, "cluster"),
    -1287            self.sql(expression, "order"),
    -1288            self.sql(expression, "limit"),
    -1289            self.sql(expression, "offset"),
    -1290            self.sql(expression, "lock"),
    -1291            sep="",
    -1292        )
    +            
    1278    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
    +1279        return csv(
    +1280            *sqls,
    +1281            *[self.sql(sql) for sql in expression.args.get("joins") or []],
    +1282            self.sql(expression, "match"),
    +1283            *[self.sql(sql) for sql in expression.args.get("laterals") or []],
    +1284            self.sql(expression, "where"),
    +1285            self.sql(expression, "group"),
    +1286            self.sql(expression, "having"),
    +1287            self.sql(expression, "qualify"),
    +1288            self.seg("WINDOW ") + self.expressions(expression, "windows", flat=True)
    +1289            if expression.args.get("windows")
    +1290            else "",
    +1291            self.sql(expression, "distribute"),
    +1292            self.sql(expression, "sort"),
    +1293            self.sql(expression, "cluster"),
    +1294            self.sql(expression, "order"),
    +1295            self.sql(expression, "limit"),
    +1296            self.sql(expression, "offset"),
    +1297            self.sql(expression, "lock"),
    +1298            sep="",
    +1299        )
     
    @@ -7280,19 +7329,19 @@ Default: True
    -
    1294    def select_sql(self, expression: exp.Select) -> str:
    -1295        hint = self.sql(expression, "hint")
    -1296        distinct = self.sql(expression, "distinct")
    -1297        distinct = f" {distinct}" if distinct else ""
    -1298        expressions = self.expressions(expression)
    -1299        expressions = f"{self.sep()}{expressions}" if expressions else expressions
    -1300        sql = self.query_modifiers(
    -1301            expression,
    -1302            f"SELECT{hint}{distinct}{expressions}",
    -1303            self.sql(expression, "into", comment=False),
    -1304            self.sql(expression, "from", comment=False),
    -1305        )
    -1306        return self.prepend_ctes(expression, sql)
    +            
    1301    def select_sql(self, expression: exp.Select) -> str:
    +1302        hint = self.sql(expression, "hint")
    +1303        distinct = self.sql(expression, "distinct")
    +1304        distinct = f" {distinct}" if distinct else ""
    +1305        expressions = self.expressions(expression)
    +1306        expressions = f"{self.sep()}{expressions}" if expressions else expressions
    +1307        sql = self.query_modifiers(
    +1308            expression,
    +1309            f"SELECT{hint}{distinct}{expressions}",
    +1310            self.sql(expression, "into", comment=False),
    +1311            self.sql(expression, "from", comment=False),
    +1312        )
    +1313        return self.prepend_ctes(expression, sql)
     
    @@ -7310,11 +7359,11 @@ Default: True
    -
    1308    def schema_sql(self, expression: exp.Schema) -> str:
    -1309        this = self.sql(expression, "this")
    -1310        this = f"{this} " if this else ""
    -1311        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
    -1312        return f"{this}{sql}"
    +            
    1315    def schema_sql(self, expression: exp.Schema) -> str:
    +1316        this = self.sql(expression, "this")
    +1317        this = f"{this} " if this else ""
    +1318        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
    +1319        return f"{this}{sql}"
     
    @@ -7332,12 +7381,12 @@ Default: True
    -
    1314    def star_sql(self, expression: exp.Star) -> str:
    -1315        except_ = self.expressions(expression, key="except", flat=True)
    -1316        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
    -1317        replace = self.expressions(expression, key="replace", flat=True)
    -1318        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
    -1319        return f"*{except_}{replace}"
    +            
    1321    def star_sql(self, expression: exp.Star) -> str:
    +1322        except_ = self.expressions(expression, key="except", flat=True)
    +1323        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
    +1324        replace = self.expressions(expression, key="replace", flat=True)
    +1325        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
    +1326        return f"*{except_}{replace}"
     
    @@ -7355,8 +7404,8 @@ Default: True
    -
    1321    def structkwarg_sql(self, expression: exp.StructKwarg) -> str:
    -1322        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
    +            
    1328    def structkwarg_sql(self, expression: exp.StructKwarg) -> str:
    +1329        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
     
    @@ -7374,10 +7423,10 @@ Default: True
    -
    1324    def parameter_sql(self, expression: exp.Parameter) -> str:
    -1325        this = self.sql(expression, "this")
    -1326        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
    -1327        return f"{self.PARAMETER_TOKEN}{this}"
    +            
    1331    def parameter_sql(self, expression: exp.Parameter) -> str:
    +1332        this = self.sql(expression, "this")
    +1333        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
    +1334        return f"{self.PARAMETER_TOKEN}{this}"
     
    @@ -7395,12 +7444,12 @@ Default: True
    -
    1329    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
    -1330        this = self.sql(expression, "this")
    -1331        kind = expression.text("kind")
    -1332        if kind:
    -1333            kind = f"{kind}."
    -1334        return f"@@{kind}{this}"
    +            
    1336    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
    +1337        this = self.sql(expression, "this")
    +1338        kind = expression.text("kind")
    +1339        if kind:
    +1340            kind = f"{kind}."
    +1341        return f"@@{kind}{this}"
     
    @@ -7418,8 +7467,8 @@ Default: True
    -
    1336    def placeholder_sql(self, expression: exp.Placeholder) -> str:
    -1337        return f":{expression.name}" if expression.name else "?"
    +            
    1343    def placeholder_sql(self, expression: exp.Placeholder) -> str:
    +1344        return f":{expression.name}" if expression.name else "?"
     
    @@ -7431,23 +7480,24 @@ Default: True
    def - subquery_sql(self, expression: sqlglot.expressions.Subquery) -> str: + subquery_sql(self, expression: sqlglot.expressions.Subquery, sep: str = ' AS ') -> str:
    -
    1339    def subquery_sql(self, expression: exp.Subquery) -> str:
    -1340        alias = self.sql(expression, "alias")
    -1341
    -1342        sql = self.query_modifiers(
    -1343            expression,
    -1344            self.wrap(expression),
    -1345            self.expressions(expression, key="pivots", sep=" "),
    -1346            f" AS {alias}" if alias else "",
    -1347        )
    -1348
    -1349        return self.prepend_ctes(expression, sql)
    +            
    1346    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
    +1347        alias = self.sql(expression, "alias")
    +1348        alias = f"{sep}{alias}" if alias else ""
    +1349
    +1350        sql = self.query_modifiers(
    +1351            expression,
    +1352            self.wrap(expression),
    +1353            self.expressions(expression, key="pivots", sep=" "),
    +1354            alias,
    +1355        )
    +1356
    +1357        return self.prepend_ctes(expression, sql)
     
    @@ -7465,9 +7515,9 @@ Default: True
    -
    1351    def qualify_sql(self, expression: exp.Qualify) -> str:
    -1352        this = self.indent(self.sql(expression, "this"))
    -1353        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
    +            
    1359    def qualify_sql(self, expression: exp.Qualify) -> str:
    +1360        this = self.indent(self.sql(expression, "this"))
    +1361        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
     
    @@ -7485,11 +7535,11 @@ Default: True
    -
    1355    def union_sql(self, expression: exp.Union) -> str:
    -1356        return self.prepend_ctes(
    -1357            expression,
    -1358            self.set_operation(expression, self.union_op(expression)),
    -1359        )
    +            
    1363    def union_sql(self, expression: exp.Union) -> str:
    +1364        return self.prepend_ctes(
    +1365            expression,
    +1366            self.set_operation(expression, self.union_op(expression)),
    +1367        )
     
    @@ -7507,10 +7557,10 @@ Default: True
    -
    1361    def union_op(self, expression: exp.Union) -> str:
    -1362        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
    -1363        kind = kind if expression.args.get("distinct") else " ALL"
    -1364        return f"UNION{kind}"
    +            
    1369    def union_op(self, expression: exp.Union) -> str:
    +1370        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
    +1371        kind = kind if expression.args.get("distinct") else " ALL"
    +1372        return f"UNION{kind}"
     
    @@ -7528,19 +7578,19 @@ Default: True
    -
    1366    def unnest_sql(self, expression: exp.Unnest) -> str:
    -1367        args = self.expressions(expression, flat=True)
    -1368        alias = expression.args.get("alias")
    -1369        if alias and self.unnest_column_only:
    -1370            columns = alias.columns
    -1371            alias = self.sql(columns[0]) if columns else ""
    -1372        else:
    -1373            alias = self.sql(expression, "alias")
    -1374        alias = f" AS {alias}" if alias else alias
    -1375        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
    -1376        offset = expression.args.get("offset")
    -1377        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
    -1378        return f"UNNEST({args}){ordinality}{alias}{offset}"
    +            
    1374    def unnest_sql(self, expression: exp.Unnest) -> str:
    +1375        args = self.expressions(expression, flat=True)
    +1376        alias = expression.args.get("alias")
    +1377        if alias and self.unnest_column_only:
    +1378            columns = alias.columns
    +1379            alias = self.sql(columns[0]) if columns else ""
    +1380        else:
    +1381            alias = self.sql(expression, "alias")
    +1382        alias = f" AS {alias}" if alias else alias
    +1383        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
    +1384        offset = expression.args.get("offset")
    +1385        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
    +1386        return f"UNNEST({args}){ordinality}{alias}{offset}"
     
    @@ -7558,9 +7608,9 @@ Default: True
    -
    1380    def where_sql(self, expression: exp.Where) -> str:
    -1381        this = self.indent(self.sql(expression, "this"))
    -1382        return f"{self.seg('WHERE')}{self.sep()}{this}"
    +            
    1388    def where_sql(self, expression: exp.Where) -> str:
    +1389        this = self.indent(self.sql(expression, "this"))
    +1390        return f"{self.seg('WHERE')}{self.sep()}{this}"
     
    @@ -7578,28 +7628,28 @@ Default: True
    -
    1384    def window_sql(self, expression: exp.Window) -> str:
    -1385        this = self.sql(expression, "this")
    -1386
    -1387        partition = self.partition_by_sql(expression)
    -1388
    -1389        order = expression.args.get("order")
    -1390        order_sql = self.order_sql(order, flat=True) if order else ""
    -1391
    -1392        partition_sql = partition + " " if partition and order else partition
    -1393
    -1394        spec = expression.args.get("spec")
    -1395        spec_sql = " " + self.window_spec_sql(spec) if spec else ""
    +            
    1392    def window_sql(self, expression: exp.Window) -> str:
    +1393        this = self.sql(expression, "this")
    +1394
    +1395        partition = self.partition_by_sql(expression)
     1396
    -1397        alias = self.sql(expression, "alias")
    -1398        this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}"
    +1397        order = expression.args.get("order")
    +1398        order_sql = self.order_sql(order, flat=True) if order else ""
     1399
    -1400        if not partition and not order and not spec and alias:
    -1401            return f"{this} {alias}"
    -1402
    -1403        window_args = alias + partition_sql + order_sql + spec_sql
    +1400        partition_sql = partition + " " if partition and order else partition
    +1401
    +1402        spec = expression.args.get("spec")
    +1403        spec_sql = " " + self.window_spec_sql(spec) if spec else ""
     1404
    -1405        return f"{this} ({window_args.strip()})"
    +1405        alias = self.sql(expression, "alias")
    +1406        this = f"{this} {'AS' if expression.arg_key == 'windows' else 'OVER'}"
    +1407
    +1408        if not partition and not order and not spec and alias:
    +1409            return f"{this} {alias}"
    +1410
    +1411        window_args = alias + partition_sql + order_sql + spec_sql
    +1412
    +1413        return f"{this} ({window_args.strip()})"
     
    @@ -7617,9 +7667,9 @@ Default: True
    -
    1407    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
    -1408        partition = self.expressions(expression, key="partition_by", flat=True)
    -1409        return f"PARTITION BY {partition}" if partition else ""
    +            
    1415    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
    +1416        partition = self.expressions(expression, key="partition_by", flat=True)
    +1417        return f"PARTITION BY {partition}" if partition else ""
     
    @@ -7637,14 +7687,14 @@ Default: True
    -
    1411    def window_spec_sql(self, expression: exp.WindowSpec) -> str:
    -1412        kind = self.sql(expression, "kind")
    -1413        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
    -1414        end = (
    -1415            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
    -1416            or "CURRENT ROW"
    -1417        )
    -1418        return f"{kind} BETWEEN {start} AND {end}"
    +            
    1419    def window_spec_sql(self, expression: exp.WindowSpec) -> str:
    +1420        kind = self.sql(expression, "kind")
    +1421        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
    +1422        end = (
    +1423            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
    +1424            or "CURRENT ROW"
    +1425        )
    +1426        return f"{kind} BETWEEN {start} AND {end}"
     
    @@ -7662,10 +7712,10 @@ Default: True
    -
    1420    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
    -1421        this = self.sql(expression, "this")
    -1422        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
    -1423        return f"{this} WITHIN GROUP ({expression_sql})"
    +            
    1428    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
    +1429        this = self.sql(expression, "this")
    +1430        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
    +1431        return f"{this} WITHIN GROUP ({expression_sql})"
     
    @@ -7683,11 +7733,11 @@ Default: True
    -
    1425    def between_sql(self, expression: exp.Between) -> str:
    -1426        this = self.sql(expression, "this")
    -1427        low = self.sql(expression, "low")
    -1428        high = self.sql(expression, "high")
    -1429        return f"{this} BETWEEN {low} AND {high}"
    +            
    1433    def between_sql(self, expression: exp.Between) -> str:
    +1434        this = self.sql(expression, "this")
    +1435        low = self.sql(expression, "low")
    +1436        high = self.sql(expression, "high")
    +1437        return f"{this} BETWEEN {low} AND {high}"
     
    @@ -7705,11 +7755,11 @@ Default: True
    -
    1431    def bracket_sql(self, expression: exp.Bracket) -> str:
    -1432        expressions = apply_index_offset(expression.expressions, self.index_offset)
    -1433        expressions_sql = ", ".join(self.sql(e) for e in expressions)
    -1434
    -1435        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
    +            
    1439    def bracket_sql(self, expression: exp.Bracket) -> str:
    +1440        expressions = apply_index_offset(expression.expressions, self.index_offset)
    +1441        expressions_sql = ", ".join(self.sql(e) for e in expressions)
    +1442
    +1443        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
     
    @@ -7727,8 +7777,8 @@ Default: True
    -
    1437    def all_sql(self, expression: exp.All) -> str:
    -1438        return f"ALL {self.wrap(expression)}"
    +            
    1445    def all_sql(self, expression: exp.All) -> str:
    +1446        return f"ALL {self.wrap(expression)}"
     
    @@ -7746,11 +7796,11 @@ Default: True
    -
    1440    def any_sql(self, expression: exp.Any) -> str:
    -1441        this = self.sql(expression, "this")
    -1442        if isinstance(expression.this, exp.Subqueryable):
    -1443            this = self.wrap(this)
    -1444        return f"ANY {this}"
    +            
    1448    def any_sql(self, expression: exp.Any) -> str:
    +1449        this = self.sql(expression, "this")
    +1450        if isinstance(expression.this, exp.Subqueryable):
    +1451            this = self.wrap(this)
    +1452        return f"ANY {this}"
     
    @@ -7768,8 +7818,8 @@ Default: True
    -
    1446    def exists_sql(self, expression: exp.Exists) -> str:
    -1447        return f"EXISTS{self.wrap(expression)}"
    +            
    1454    def exists_sql(self, expression: exp.Exists) -> str:
    +1455        return f"EXISTS{self.wrap(expression)}"
     
    @@ -7787,25 +7837,25 @@ Default: True
    -
    1449    def case_sql(self, expression: exp.Case) -> str:
    -1450        this = self.sql(expression, "this")
    -1451        statements = [f"CASE {this}" if this else "CASE"]
    -1452
    -1453        for e in expression.args["ifs"]:
    -1454            statements.append(f"WHEN {self.sql(e, 'this')}")
    -1455            statements.append(f"THEN {self.sql(e, 'true')}")
    -1456
    -1457        default = self.sql(expression, "default")
    -1458
    -1459        if default:
    -1460            statements.append(f"ELSE {default}")
    -1461
    -1462        statements.append("END")
    -1463
    -1464        if self.pretty and self.text_width(statements) > self._max_text_width:
    -1465            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
    +            
    1457    def case_sql(self, expression: exp.Case) -> str:
    +1458        this = self.sql(expression, "this")
    +1459        statements = [f"CASE {this}" if this else "CASE"]
    +1460
    +1461        for e in expression.args["ifs"]:
    +1462            statements.append(f"WHEN {self.sql(e, 'this')}")
    +1463            statements.append(f"THEN {self.sql(e, 'true')}")
    +1464
    +1465        default = self.sql(expression, "default")
     1466
    -1467        return " ".join(statements)
    +1467        if default:
    +1468            statements.append(f"ELSE {default}")
    +1469
    +1470        statements.append("END")
    +1471
    +1472        if self.pretty and self.text_width(statements) > self._max_text_width:
    +1473            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
    +1474
    +1475        return " ".join(statements)
     
    @@ -7823,10 +7873,10 @@ Default: True
    -
    1469    def constraint_sql(self, expression: exp.Constraint) -> str:
    -1470        this = self.sql(expression, "this")
    -1471        expressions = self.expressions(expression, flat=True)
    -1472        return f"CONSTRAINT {this} {expressions}"
    +            
    1477    def constraint_sql(self, expression: exp.Constraint) -> str:
    +1478        this = self.sql(expression, "this")
    +1479        expressions = self.expressions(expression, flat=True)
    +1480        return f"CONSTRAINT {this} {expressions}"
     
    @@ -7844,10 +7894,10 @@ Default: True
    -
    1474    def extract_sql(self, expression: exp.Extract) -> str:
    -1475        this = self.sql(expression, "this")
    -1476        expression_sql = self.sql(expression, "expression")
    -1477        return f"EXTRACT({this} FROM {expression_sql})"
    +            
    1482    def extract_sql(self, expression: exp.Extract) -> str:
    +1483        this = self.sql(expression, "this")
    +1484        expression_sql = self.sql(expression, "expression")
    +1485        return f"EXTRACT({this} FROM {expression_sql})"
     
    @@ -7865,15 +7915,15 @@ Default: True
    -
    1479    def trim_sql(self, expression: exp.Trim) -> str:
    -1480        trim_type = self.sql(expression, "position")
    -1481
    -1482        if trim_type == "LEADING":
    -1483            return self.func("LTRIM", expression.this)
    -1484        elif trim_type == "TRAILING":
    -1485            return self.func("RTRIM", expression.this)
    -1486        else:
    -1487            return self.func("TRIM", expression.this, expression.expression)
    +            
    1487    def trim_sql(self, expression: exp.Trim) -> str:
    +1488        trim_type = self.sql(expression, "position")
    +1489
    +1490        if trim_type == "LEADING":
    +1491            return self.func("LTRIM", expression.this)
    +1492        elif trim_type == "TRAILING":
    +1493            return self.func("RTRIM", expression.this)
    +1494        else:
    +1495            return self.func("TRIM", expression.this, expression.expression)
     
    @@ -7891,10 +7941,10 @@ Default: True
    -
    1489    def concat_sql(self, expression: exp.Concat) -> str:
    -1490        if len(expression.expressions) == 1:
    -1491            return self.sql(expression.expressions[0])
    -1492        return self.function_fallback_sql(expression)
    +            
    1497    def concat_sql(self, expression: exp.Concat) -> str:
    +1498        if len(expression.expressions) == 1:
    +1499            return self.sql(expression.expressions[0])
    +1500        return self.function_fallback_sql(expression)
     
    @@ -7912,9 +7962,9 @@ Default: True
    -
    1494    def check_sql(self, expression: exp.Check) -> str:
    -1495        this = self.sql(expression, key="this")
    -1496        return f"CHECK ({this})"
    +            
    1502    def check_sql(self, expression: exp.Check) -> str:
    +1503        this = self.sql(expression, key="this")
    +1504        return f"CHECK ({this})"
     
    @@ -7932,15 +7982,15 @@ Default: True
    -
    1498    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
    -1499        expressions = self.expressions(expression, flat=True)
    -1500        reference = self.sql(expression, "reference")
    -1501        reference = f" {reference}" if reference else ""
    -1502        delete = self.sql(expression, "delete")
    -1503        delete = f" ON DELETE {delete}" if delete else ""
    -1504        update = self.sql(expression, "update")
    -1505        update = f" ON UPDATE {update}" if update else ""
    -1506        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
    +            
    1506    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
    +1507        expressions = self.expressions(expression, flat=True)
    +1508        reference = self.sql(expression, "reference")
    +1509        reference = f" {reference}" if reference else ""
    +1510        delete = self.sql(expression, "delete")
    +1511        delete = f" ON DELETE {delete}" if delete else ""
    +1512        update = self.sql(expression, "update")
    +1513        update = f" ON UPDATE {update}" if update else ""
    +1514        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
     
    @@ -7958,11 +8008,11 @@ Default: True
    -
    1508    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
    -1509        expressions = self.expressions(expression, flat=True)
    -1510        options = self.expressions(expression, "options", flat=True, sep=" ")
    -1511        options = f" {options}" if options else ""
    -1512        return f"PRIMARY KEY ({expressions}){options}"
    +            
    1516    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
    +1517        expressions = self.expressions(expression, flat=True)
    +1518        options = self.expressions(expression, "options", flat=True, sep=" ")
    +1519        options = f" {options}" if options else ""
    +1520        return f"PRIMARY KEY ({expressions}){options}"
     
    @@ -7980,9 +8030,9 @@ Default: True
    -
    1514    def unique_sql(self, expression: exp.Unique) -> str:
    -1515        columns = self.expressions(expression, key="expressions")
    -1516        return f"UNIQUE ({columns})"
    +            
    1522    def unique_sql(self, expression: exp.Unique) -> str:
    +1523        columns = self.expressions(expression, key="expressions")
    +1524        return f"UNIQUE ({columns})"
     
    @@ -8000,10 +8050,10 @@ Default: True
    -
    1518    def if_sql(self, expression: exp.If) -> str:
    -1519        return self.case_sql(
    -1520            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
    -1521        )
    +            
    1526    def if_sql(self, expression: exp.If) -> str:
    +1527        return self.case_sql(
    +1528            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
    +1529        )
     
    @@ -8021,22 +8071,22 @@ Default: True
    -
    1523    def in_sql(self, expression: exp.In) -> str:
    -1524        query = expression.args.get("query")
    -1525        unnest = expression.args.get("unnest")
    -1526        field = expression.args.get("field")
    -1527        is_global = " GLOBAL" if expression.args.get("is_global") else ""
    -1528
    -1529        if query:
    -1530            in_sql = self.wrap(query)
    -1531        elif unnest:
    -1532            in_sql = self.in_unnest_op(unnest)
    -1533        elif field:
    -1534            in_sql = self.sql(field)
    -1535        else:
    -1536            in_sql = f"({self.expressions(expression, flat=True)})"
    -1537
    -1538        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
    +            
    1531    def in_sql(self, expression: exp.In) -> str:
    +1532        query = expression.args.get("query")
    +1533        unnest = expression.args.get("unnest")
    +1534        field = expression.args.get("field")
    +1535        is_global = " GLOBAL" if expression.args.get("is_global") else ""
    +1536
    +1537        if query:
    +1538            in_sql = self.wrap(query)
    +1539        elif unnest:
    +1540            in_sql = self.in_unnest_op(unnest)
    +1541        elif field:
    +1542            in_sql = self.sql(field)
    +1543        else:
    +1544            in_sql = f"({self.expressions(expression, flat=True)})"
    +1545
    +1546        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
     
    @@ -8054,8 +8104,8 @@ Default: True
    -
    1540    def in_unnest_op(self, unnest: exp.Unnest) -> str:
    -1541        return f"(SELECT {self.sql(unnest)})"
    +            
    1548    def in_unnest_op(self, unnest: exp.Unnest) -> str:
    +1549        return f"(SELECT {self.sql(unnest)})"
     
    @@ -8073,19 +8123,19 @@ Default: True
    -
    1543    def interval_sql(self, expression: exp.Interval) -> str:
    -1544        this = expression.args.get("this")
    -1545        if this:
    -1546            this = (
    -1547                f" {this}"
    -1548                if isinstance(this, exp.Literal) or isinstance(this, exp.Paren)
    -1549                else f" ({this})"
    -1550            )
    -1551        else:
    -1552            this = ""
    -1553        unit = expression.args.get("unit")
    -1554        unit = f" {unit}" if unit else ""
    -1555        return f"INTERVAL{this}{unit}"
    +            
    1551    def interval_sql(self, expression: exp.Interval) -> str:
    +1552        this = expression.args.get("this")
    +1553        if this:
    +1554            this = (
    +1555                f" {this}"
    +1556                if isinstance(this, exp.Literal) or isinstance(this, exp.Paren)
    +1557                else f" ({this})"
    +1558            )
    +1559        else:
    +1560            this = ""
    +1561        unit = expression.args.get("unit")
    +1562        unit = f" {unit}" if unit else ""
    +1563        return f"INTERVAL{this}{unit}"
     
    @@ -8103,8 +8153,8 @@ Default: True
    -
    1557    def return_sql(self, expression: exp.Return) -> str:
    -1558        return f"RETURN {self.sql(expression, 'this')}"
    +            
    1565    def return_sql(self, expression: exp.Return) -> str:
    +1566        return f"RETURN {self.sql(expression, 'this')}"
     
    @@ -8122,13 +8172,13 @@ Default: True
    -
    1560    def reference_sql(self, expression: exp.Reference) -> str:
    -1561        this = self.sql(expression, "this")
    -1562        expressions = self.expressions(expression, flat=True)
    -1563        expressions = f"({expressions})" if expressions else ""
    -1564        options = self.expressions(expression, "options", flat=True, sep=" ")
    -1565        options = f" {options}" if options else ""
    -1566        return f"REFERENCES {this}{expressions}{options}"
    +            
    1568    def reference_sql(self, expression: exp.Reference) -> str:
    +1569        this = self.sql(expression, "this")
    +1570        expressions = self.expressions(expression, flat=True)
    +1571        expressions = f"({expressions})" if expressions else ""
    +1572        options = self.expressions(expression, "options", flat=True, sep=" ")
    +1573        options = f" {options}" if options else ""
    +1574        return f"REFERENCES {this}{expressions}{options}"
     
    @@ -8146,8 +8196,8 @@ Default: True
    -
    1568    def anonymous_sql(self, expression: exp.Anonymous) -> str:
    -1569        return self.func(expression.name, *expression.expressions)
    +            
    1576    def anonymous_sql(self, expression: exp.Anonymous) -> str:
    +1577        return self.func(expression.name, *expression.expressions)
     
    @@ -8165,14 +8215,14 @@ Default: True
    -
    1571    def paren_sql(self, expression: exp.Paren) -> str:
    -1572        if isinstance(expression.unnest(), exp.Select):
    -1573            sql = self.wrap(expression)
    -1574        else:
    -1575            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
    -1576            sql = f"({sql}{self.seg(')', sep='')}"
    -1577
    -1578        return self.prepend_ctes(expression, sql)
    +            
    1579    def paren_sql(self, expression: exp.Paren) -> str:
    +1580        if isinstance(expression.unnest(), exp.Select):
    +1581            sql = self.wrap(expression)
    +1582        else:
    +1583            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
    +1584            sql = f"({sql}{self.seg(')', sep='')}"
    +1585
    +1586        return self.prepend_ctes(expression, sql)
     
    @@ -8190,11 +8240,11 @@ Default: True
    -
    1580    def neg_sql(self, expression: exp.Neg) -> str:
    -1581        # This makes sure we don't convert "- - 5" to "--5", which is a comment
    -1582        this_sql = self.sql(expression, "this")
    -1583        sep = " " if this_sql[0] == "-" else ""
    -1584        return f"-{sep}{this_sql}"
    +            
    1588    def neg_sql(self, expression: exp.Neg) -> str:
    +1589        # This makes sure we don't convert "- - 5" to "--5", which is a comment
    +1590        this_sql = self.sql(expression, "this")
    +1591        sep = " " if this_sql[0] == "-" else ""
    +1592        return f"-{sep}{this_sql}"
     
    @@ -8212,8 +8262,8 @@ Default: True
    -
    1586    def not_sql(self, expression: exp.Not) -> str:
    -1587        return f"NOT {self.sql(expression, 'this')}"
    +            
    1594    def not_sql(self, expression: exp.Not) -> str:
    +1595        return f"NOT {self.sql(expression, 'this')}"
     
    @@ -8231,10 +8281,10 @@ Default: True
    -
    1589    def alias_sql(self, expression: exp.Alias) -> str:
    -1590        to_sql = self.sql(expression, "alias")
    -1591        to_sql = f" AS {to_sql}" if to_sql else ""
    -1592        return f"{self.sql(expression, 'this')}{to_sql}"
    +            
    1597    def alias_sql(self, expression: exp.Alias) -> str:
    +1598        to_sql = self.sql(expression, "alias")
    +1599        to_sql = f" AS {to_sql}" if to_sql else ""
    +1600        return f"{self.sql(expression, 'this')}{to_sql}"
     
    @@ -8252,8 +8302,8 @@ Default: True
    -
    1594    def aliases_sql(self, expression: exp.Aliases) -> str:
    -1595        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
    +            
    1602    def aliases_sql(self, expression: exp.Aliases) -> str:
    +1603        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
     
    @@ -8271,10 +8321,10 @@ Default: True
    -
    1597    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    -1598        this = self.sql(expression, "this")
    -1599        zone = self.sql(expression, "zone")
    -1600        return f"{this} AT TIME ZONE {zone}"
    +            
    1605    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    +1606        this = self.sql(expression, "this")
    +1607        zone = self.sql(expression, "zone")
    +1608        return f"{this} AT TIME ZONE {zone}"
     
    @@ -8292,8 +8342,8 @@ Default: True
    -
    1602    def add_sql(self, expression: exp.Add) -> str:
    -1603        return self.binary(expression, "+")
    +            
    1610    def add_sql(self, expression: exp.Add) -> str:
    +1611        return self.binary(expression, "+")
     
    @@ -8311,8 +8361,8 @@ Default: True
    -
    1605    def and_sql(self, expression: exp.And) -> str:
    -1606        return self.connector_sql(expression, "AND")
    +            
    1613    def and_sql(self, expression: exp.And) -> str:
    +1614        return self.connector_sql(expression, "AND")
     
    @@ -8330,13 +8380,13 @@ Default: True
    -
    1608    def connector_sql(self, expression: exp.Connector, op: str) -> str:
    -1609        if not self.pretty:
    -1610            return self.binary(expression, op)
    -1611
    -1612        sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False))
    -1613        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
    -1614        return f"{sep}{op} ".join(sqls)
    +            
    1616    def connector_sql(self, expression: exp.Connector, op: str) -> str:
    +1617        if not self.pretty:
    +1618            return self.binary(expression, op)
    +1619
    +1620        sqls = tuple(self.sql(e) for e in expression.flatten(unnest=False))
    +1621        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
    +1622        return f"{sep}{op} ".join(sqls)
     
    @@ -8354,8 +8404,8 @@ Default: True
    -
    1616    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
    -1617        return self.binary(expression, "&")
    +            
    1624    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
    +1625        return self.binary(expression, "&")
     
    @@ -8373,8 +8423,8 @@ Default: True
    -
    1619    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
    -1620        return self.binary(expression, "<<")
    +            
    1627    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
    +1628        return self.binary(expression, "<<")
     
    @@ -8392,8 +8442,8 @@ Default: True
    -
    1622    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
    -1623        return f"~{self.sql(expression, 'this')}"
    +            
    1630    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
    +1631        return f"~{self.sql(expression, 'this')}"
     
    @@ -8411,8 +8461,8 @@ Default: True
    -
    1625    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
    -1626        return self.binary(expression, "|")
    +            
    1633    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
    +1634        return self.binary(expression, "|")
     
    @@ -8430,8 +8480,8 @@ Default: True
    -
    1628    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
    -1629        return self.binary(expression, ">>")
    +            
    1636    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
    +1637        return self.binary(expression, ">>")
     
    @@ -8449,8 +8499,8 @@ Default: True
    -
    1631    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
    -1632        return self.binary(expression, "^")
    +            
    1639    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
    +1640        return self.binary(expression, "^")
     
    @@ -8468,8 +8518,8 @@ Default: True
    -
    1634    def cast_sql(self, expression: exp.Cast) -> str:
    -1635        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
    +            
    1642    def cast_sql(self, expression: exp.Cast) -> str:
    +1643        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
     
    @@ -8487,9 +8537,9 @@ Default: True
    -
    1637    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
    -1638        zone = self.sql(expression, "this")
    -1639        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
    +            
    1645    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
    +1646        zone = self.sql(expression, "this")
    +1647        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
     
    @@ -8507,8 +8557,8 @@ Default: True
    -
    1641    def collate_sql(self, expression: exp.Collate) -> str:
    -1642        return self.binary(expression, "COLLATE")
    +            
    1649    def collate_sql(self, expression: exp.Collate) -> str:
    +1650        return self.binary(expression, "COLLATE")
     
    @@ -8526,8 +8576,31 @@ Default: True
    -
    1644    def command_sql(self, expression: exp.Command) -> str:
    -1645        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
    +            
    1652    def command_sql(self, expression: exp.Command) -> str:
    +1653        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
    +
    + + + + +
    +
    + +
    + + def + comment_sql(self, expression: sqlglot.expressions.Comment) -> str: + + + +
    + +
    1655    def comment_sql(self, expression: exp.Comment) -> str:
    +1656        this = self.sql(expression, "this")
    +1657        kind = expression.args["kind"]
    +1658        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
    +1659        expression_sql = self.sql(expression, "expression")
    +1660        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
     
    @@ -8545,8 +8618,8 @@ Default: True
    -
    1647    def transaction_sql(self, *_) -> str:
    -1648        return "BEGIN"
    +            
    1662    def transaction_sql(self, *_) -> str:
    +1663        return "BEGIN"
     
    @@ -8564,12 +8637,12 @@ Default: True
    -
    1650    def commit_sql(self, expression: exp.Commit) -> str:
    -1651        chain = expression.args.get("chain")
    -1652        if chain is not None:
    -1653            chain = " AND CHAIN" if chain else " AND NO CHAIN"
    -1654
    -1655        return f"COMMIT{chain or ''}"
    +            
    1665    def commit_sql(self, expression: exp.Commit) -> str:
    +1666        chain = expression.args.get("chain")
    +1667        if chain is not None:
    +1668            chain = " AND CHAIN" if chain else " AND NO CHAIN"
    +1669
    +1670        return f"COMMIT{chain or ''}"
     
    @@ -8587,10 +8660,10 @@ Default: True
    -
    1657    def rollback_sql(self, expression: exp.Rollback) -> str:
    -1658        savepoint = expression.args.get("savepoint")
    -1659        savepoint = f" TO {savepoint}" if savepoint else ""
    -1660        return f"ROLLBACK{savepoint}"
    +            
    1672    def rollback_sql(self, expression: exp.Rollback) -> str:
    +1673        savepoint = expression.args.get("savepoint")
    +1674        savepoint = f" TO {savepoint}" if savepoint else ""
    +1675        return f"ROLLBACK{savepoint}"
     
    @@ -8608,25 +8681,25 @@ Default: True
    -
    1662    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
    -1663        this = self.sql(expression, "this")
    -1664
    -1665        dtype = self.sql(expression, "dtype")
    -1666        if dtype:
    -1667            collate = self.sql(expression, "collate")
    -1668            collate = f" COLLATE {collate}" if collate else ""
    -1669            using = self.sql(expression, "using")
    -1670            using = f" USING {using}" if using else ""
    -1671            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
    -1672
    -1673        default = self.sql(expression, "default")
    -1674        if default:
    -1675            return f"ALTER COLUMN {this} SET DEFAULT {default}"
    -1676
    -1677        if not expression.args.get("drop"):
    -1678            self.unsupported("Unsupported ALTER COLUMN syntax")
    +            
    1677    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
    +1678        this = self.sql(expression, "this")
     1679
    -1680        return f"ALTER COLUMN {this} DROP DEFAULT"
    +1680        dtype = self.sql(expression, "dtype")
    +1681        if dtype:
    +1682            collate = self.sql(expression, "collate")
    +1683            collate = f" COLLATE {collate}" if collate else ""
    +1684            using = self.sql(expression, "using")
    +1685            using = f" USING {using}" if using else ""
    +1686            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
    +1687
    +1688        default = self.sql(expression, "default")
    +1689        if default:
    +1690            return f"ALTER COLUMN {this} SET DEFAULT {default}"
    +1691
    +1692        if not expression.args.get("drop"):
    +1693            self.unsupported("Unsupported ALTER COLUMN syntax")
    +1694
    +1695        return f"ALTER COLUMN {this} DROP DEFAULT"
     
    @@ -8644,9 +8717,9 @@ Default: True
    -
    1682    def renametable_sql(self, expression: exp.RenameTable) -> str:
    -1683        this = self.sql(expression, "this")
    -1684        return f"RENAME TO {this}"
    +            
    1697    def renametable_sql(self, expression: exp.RenameTable) -> str:
    +1698        this = self.sql(expression, "this")
    +1699        return f"RENAME TO {this}"
     
    @@ -8664,20 +8737,20 @@ Default: True
    -
    1686    def altertable_sql(self, expression: exp.AlterTable) -> str:
    -1687        actions = expression.args["actions"]
    -1688
    -1689        if isinstance(actions[0], exp.ColumnDef):
    -1690            actions = self.expressions(expression, "actions", prefix="ADD COLUMN ")
    -1691        elif isinstance(actions[0], exp.Schema):
    -1692            actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ")
    -1693        elif isinstance(actions[0], exp.Delete):
    -1694            actions = self.expressions(expression, "actions", flat=True)
    -1695        else:
    -1696            actions = self.expressions(expression, "actions")
    -1697
    -1698        exists = " IF EXISTS" if expression.args.get("exists") else ""
    -1699        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
    +            
    1701    def altertable_sql(self, expression: exp.AlterTable) -> str:
    +1702        actions = expression.args["actions"]
    +1703
    +1704        if isinstance(actions[0], exp.ColumnDef):
    +1705            actions = self.expressions(expression, "actions", prefix="ADD COLUMN ")
    +1706        elif isinstance(actions[0], exp.Schema):
    +1707            actions = self.expressions(expression, "actions", prefix="ADD COLUMNS ")
    +1708        elif isinstance(actions[0], exp.Delete):
    +1709            actions = self.expressions(expression, "actions", flat=True)
    +1710        else:
    +1711            actions = self.expressions(expression, "actions")
    +1712
    +1713        exists = " IF EXISTS" if expression.args.get("exists") else ""
    +1714        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
     
    @@ -8695,10 +8768,10 @@ Default: True
    -
    1701    def droppartition_sql(self, expression: exp.DropPartition) -> str:
    -1702        expressions = self.expressions(expression)
    -1703        exists = " IF EXISTS " if expression.args.get("exists") else " "
    -1704        return f"DROP{exists}{expressions}"
    +            
    1716    def droppartition_sql(self, expression: exp.DropPartition) -> str:
    +1717        expressions = self.expressions(expression)
    +1718        exists = " IF EXISTS " if expression.args.get("exists") else " "
    +1719        return f"DROP{exists}{expressions}"
     
    @@ -8716,16 +8789,16 @@ Default: True
    -
    1706    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
    -1707        this = self.sql(expression, "this")
    -1708        expression_ = self.sql(expression, "expression")
    -1709        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
    -1710
    -1711        enforced = expression.args.get("enforced")
    -1712        if enforced is not None:
    -1713            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
    -1714
    -1715        return f"{add_constraint} {expression_}"
    +            
    1721    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
    +1722        this = self.sql(expression, "this")
    +1723        expression_ = self.sql(expression, "expression")
    +1724        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
    +1725
    +1726        enforced = expression.args.get("enforced")
    +1727        if enforced is not None:
    +1728            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
    +1729
    +1730        return f"{add_constraint} {expression_}"
     
    @@ -8743,13 +8816,13 @@ Default: True
    -
    1717    def distinct_sql(self, expression: exp.Distinct) -> str:
    -1718        this = self.expressions(expression, flat=True)
    -1719        this = f" {this}" if this else ""
    -1720
    -1721        on = self.sql(expression, "on")
    -1722        on = f" ON {on}" if on else ""
    -1723        return f"DISTINCT{this}{on}"
    +            
    1732    def distinct_sql(self, expression: exp.Distinct) -> str:
    +1733        this = self.expressions(expression, flat=True)
    +1734        this = f" {this}" if this else ""
    +1735
    +1736        on = self.sql(expression, "on")
    +1737        on = f" ON {on}" if on else ""
    +1738        return f"DISTINCT{this}{on}"
     
    @@ -8767,8 +8840,8 @@ Default: True
    -
    1725    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
    -1726        return f"{self.sql(expression, 'this')} IGNORE NULLS"
    +            
    1740    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
    +1741        return f"{self.sql(expression, 'this')} IGNORE NULLS"
     
    @@ -8786,8 +8859,8 @@ Default: True
    -
    1728    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
    -1729        return f"{self.sql(expression, 'this')} RESPECT NULLS"
    +            
    1743    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
    +1744        return f"{self.sql(expression, 'this')} RESPECT NULLS"
     
    @@ -8805,13 +8878,13 @@ Default: True
    -
    1731    def intdiv_sql(self, expression: exp.IntDiv) -> str:
    -1732        return self.sql(
    -1733            exp.Cast(
    -1734                this=exp.Div(this=expression.this, expression=expression.expression),
    -1735                to=exp.DataType(this=exp.DataType.Type.INT),
    -1736            )
    -1737        )
    +            
    1746    def intdiv_sql(self, expression: exp.IntDiv) -> str:
    +1747        return self.sql(
    +1748            exp.Cast(
    +1749                this=exp.Div(this=expression.this, expression=expression.expression),
    +1750                to=exp.DataType(this=exp.DataType.Type.INT),
    +1751            )
    +1752        )
     
    @@ -8829,8 +8902,8 @@ Default: True
    -
    1739    def dpipe_sql(self, expression: exp.DPipe) -> str:
    -1740        return self.binary(expression, "||")
    +            
    1754    def dpipe_sql(self, expression: exp.DPipe) -> str:
    +1755        return self.binary(expression, "||")
     
    @@ -8848,8 +8921,27 @@ Default: True
    -
    1742    def div_sql(self, expression: exp.Div) -> str:
    -1743        return self.binary(expression, "/")
    +            
    1757    def div_sql(self, expression: exp.Div) -> str:
    +1758        return self.binary(expression, "/")
    +
    + + + + +
    +
    + +
    + + def + overlaps_sql(self, expression: sqlglot.expressions.Overlaps) -> str: + + + +
    + +
    1760    def overlaps_sql(self, expression: exp.Overlaps) -> str:
    +1761        return self.binary(expression, "OVERLAPS")
     
    @@ -8867,8 +8959,8 @@ Default: True
    -
    1745    def distance_sql(self, expression: exp.Distance) -> str:
    -1746        return self.binary(expression, "<->")
    +            
    1763    def distance_sql(self, expression: exp.Distance) -> str:
    +1764        return self.binary(expression, "<->")
     
    @@ -8886,8 +8978,8 @@ Default: True
    -
    1748    def dot_sql(self, expression: exp.Dot) -> str:
    -1749        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
    +            
    1766    def dot_sql(self, expression: exp.Dot) -> str:
    +1767        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
     
    @@ -8905,8 +8997,8 @@ Default: True
    -
    1751    def eq_sql(self, expression: exp.EQ) -> str:
    -1752        return self.binary(expression, "=")
    +            
    1769    def eq_sql(self, expression: exp.EQ) -> str:
    +1770        return self.binary(expression, "=")
     
    @@ -8924,8 +9016,8 @@ Default: True
    -
    1754    def escape_sql(self, expression: exp.Escape) -> str:
    -1755        return self.binary(expression, "ESCAPE")
    +            
    1772    def escape_sql(self, expression: exp.Escape) -> str:
    +1773        return self.binary(expression, "ESCAPE")
     
    @@ -8943,8 +9035,8 @@ Default: True
    -
    1757    def glob_sql(self, expression: exp.Glob) -> str:
    -1758        return self.binary(expression, "GLOB")
    +            
    1775    def glob_sql(self, expression: exp.Glob) -> str:
    +1776        return self.binary(expression, "GLOB")
     
    @@ -8962,8 +9054,8 @@ Default: True
    -
    1760    def gt_sql(self, expression: exp.GT) -> str:
    -1761        return self.binary(expression, ">")
    +            
    1778    def gt_sql(self, expression: exp.GT) -> str:
    +1779        return self.binary(expression, ">")
     
    @@ -8981,8 +9073,8 @@ Default: True
    -
    1763    def gte_sql(self, expression: exp.GTE) -> str:
    -1764        return self.binary(expression, ">=")
    +            
    1781    def gte_sql(self, expression: exp.GTE) -> str:
    +1782        return self.binary(expression, ">=")
     
    @@ -9000,8 +9092,8 @@ Default: True
    -
    1766    def ilike_sql(self, expression: exp.ILike) -> str:
    -1767        return self.binary(expression, "ILIKE")
    +            
    1784    def ilike_sql(self, expression: exp.ILike) -> str:
    +1785        return self.binary(expression, "ILIKE")
     
    @@ -9019,8 +9111,8 @@ Default: True
    -
    1769    def is_sql(self, expression: exp.Is) -> str:
    -1770        return self.binary(expression, "IS")
    +            
    1787    def is_sql(self, expression: exp.Is) -> str:
    +1788        return self.binary(expression, "IS")
     
    @@ -9038,8 +9130,8 @@ Default: True
    -
    1772    def like_sql(self, expression: exp.Like) -> str:
    -1773        return self.binary(expression, "LIKE")
    +            
    1790    def like_sql(self, expression: exp.Like) -> str:
    +1791        return self.binary(expression, "LIKE")
     
    @@ -9057,8 +9149,8 @@ Default: True
    -
    1775    def similarto_sql(self, expression: exp.SimilarTo) -> str:
    -1776        return self.binary(expression, "SIMILAR TO")
    +            
    1793    def similarto_sql(self, expression: exp.SimilarTo) -> str:
    +1794        return self.binary(expression, "SIMILAR TO")
     
    @@ -9076,8 +9168,8 @@ Default: True
    -
    1778    def lt_sql(self, expression: exp.LT) -> str:
    -1779        return self.binary(expression, "<")
    +            
    1796    def lt_sql(self, expression: exp.LT) -> str:
    +1797        return self.binary(expression, "<")
     
    @@ -9095,8 +9187,8 @@ Default: True
    -
    1781    def lte_sql(self, expression: exp.LTE) -> str:
    -1782        return self.binary(expression, "<=")
    +            
    1799    def lte_sql(self, expression: exp.LTE) -> str:
    +1800        return self.binary(expression, "<=")
     
    @@ -9114,8 +9206,8 @@ Default: True
    -
    1784    def mod_sql(self, expression: exp.Mod) -> str:
    -1785        return self.binary(expression, "%")
    +            
    1802    def mod_sql(self, expression: exp.Mod) -> str:
    +1803        return self.binary(expression, "%")
     
    @@ -9133,8 +9225,8 @@ Default: True
    -
    1787    def mul_sql(self, expression: exp.Mul) -> str:
    -1788        return self.binary(expression, "*")
    +            
    1805    def mul_sql(self, expression: exp.Mul) -> str:
    +1806        return self.binary(expression, "*")
     
    @@ -9152,8 +9244,8 @@ Default: True
    -
    1790    def neq_sql(self, expression: exp.NEQ) -> str:
    -1791        return self.binary(expression, "<>")
    +            
    1808    def neq_sql(self, expression: exp.NEQ) -> str:
    +1809        return self.binary(expression, "<>")
     
    @@ -9171,8 +9263,8 @@ Default: True
    -
    1793    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
    -1794        return self.binary(expression, "IS NOT DISTINCT FROM")
    +            
    1811    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
    +1812        return self.binary(expression, "IS NOT DISTINCT FROM")
     
    @@ -9190,8 +9282,8 @@ Default: True
    -
    1796    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
    -1797        return self.binary(expression, "IS DISTINCT FROM")
    +            
    1814    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
    +1815        return self.binary(expression, "IS DISTINCT FROM")
     
    @@ -9209,8 +9301,8 @@ Default: True
    -
    1799    def or_sql(self, expression: exp.Or) -> str:
    -1800        return self.connector_sql(expression, "OR")
    +            
    1817    def or_sql(self, expression: exp.Or) -> str:
    +1818        return self.connector_sql(expression, "OR")
     
    @@ -9228,8 +9320,8 @@ Default: True
    -
    1802    def slice_sql(self, expression: exp.Slice) -> str:
    -1803        return self.binary(expression, ":")
    +            
    1820    def slice_sql(self, expression: exp.Slice) -> str:
    +1821        return self.binary(expression, ":")
     
    @@ -9247,8 +9339,8 @@ Default: True
    -
    1805    def sub_sql(self, expression: exp.Sub) -> str:
    -1806        return self.binary(expression, "-")
    +            
    1823    def sub_sql(self, expression: exp.Sub) -> str:
    +1824        return self.binary(expression, "-")
     
    @@ -9266,8 +9358,8 @@ Default: True
    -
    1808    def trycast_sql(self, expression: exp.TryCast) -> str:
    -1809        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
    +            
    1826    def trycast_sql(self, expression: exp.TryCast) -> str:
    +1827        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
     
    @@ -9285,12 +9377,12 @@ Default: True
    -
    1811    def use_sql(self, expression: exp.Use) -> str:
    -1812        kind = self.sql(expression, "kind")
    -1813        kind = f" {kind}" if kind else ""
    -1814        this = self.sql(expression, "this")
    -1815        this = f" {this}" if this else ""
    -1816        return f"USE{kind}{this}"
    +            
    1829    def use_sql(self, expression: exp.Use) -> str:
    +1830        kind = self.sql(expression, "kind")
    +1831        kind = f" {kind}" if kind else ""
    +1832        this = self.sql(expression, "this")
    +1833        this = f" {this}" if this else ""
    +1834        return f"USE{kind}{this}"
     
    @@ -9308,8 +9400,8 @@ Default: True
    -
    1818    def binary(self, expression: exp.Binary, op: str) -> str:
    -1819        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
    +            
    1836    def binary(self, expression: exp.Binary, op: str) -> str:
    +1837        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
     
    @@ -9327,16 +9419,16 @@ Default: True
    -
    1821    def function_fallback_sql(self, expression: exp.Func) -> str:
    -1822        args = []
    -1823        for arg_value in expression.args.values():
    -1824            if isinstance(arg_value, list):
    -1825                for value in arg_value:
    -1826                    args.append(value)
    -1827            else:
    -1828                args.append(arg_value)
    -1829
    -1830        return self.func(expression.sql_name(), *args)
    +            
    1839    def function_fallback_sql(self, expression: exp.Func) -> str:
    +1840        args = []
    +1841        for arg_value in expression.args.values():
    +1842            if isinstance(arg_value, list):
    +1843                for value in arg_value:
    +1844                    args.append(value)
    +1845            else:
    +1846                args.append(arg_value)
    +1847
    +1848        return self.func(expression.sql_name(), *args)
     
    @@ -9354,8 +9446,8 @@ Default: True
    -
    1832    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
    -1833        return f"{self.normalize_func(name)}({self.format_args(*args)})"
    +            
    1850    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
    +1851        return f"{self.normalize_func(name)}({self.format_args(*args)})"
     
    @@ -9373,11 +9465,11 @@ Default: True
    -
    1835    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
    -1836        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
    -1837        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
    -1838            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
    -1839        return ", ".join(arg_sqls)
    +            
    1853    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
    +1854        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
    +1855        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
    +1856            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
    +1857        return ", ".join(arg_sqls)
     
    @@ -9395,8 +9487,8 @@ Default: True
    -
    1841    def text_width(self, args: t.Iterable) -> int:
    -1842        return sum(len(arg) for arg in args)
    +            
    1859    def text_width(self, args: t.Iterable) -> int:
    +1860        return sum(len(arg) for arg in args)
     
    @@ -9414,8 +9506,8 @@ Default: True
    -
    1844    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
    -1845        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
    +            
    1862    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
    +1863        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
     
    @@ -9433,46 +9525,46 @@ Default: True
    -
    1847    def expressions(
    -1848        self,
    -1849        expression: exp.Expression,
    -1850        key: t.Optional[str] = None,
    -1851        flat: bool = False,
    -1852        indent: bool = True,
    -1853        sep: str = ", ",
    -1854        prefix: str = "",
    -1855    ) -> str:
    -1856        expressions = expression.args.get(key or "expressions")
    -1857
    -1858        if not expressions:
    -1859            return ""
    -1860
    -1861        if flat:
    -1862            return sep.join(self.sql(e) for e in expressions)
    -1863
    -1864        num_sqls = len(expressions)
    -1865
    -1866        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
    -1867        pad = " " * self.pad
    -1868        stripped_sep = sep.strip()
    -1869
    -1870        result_sqls = []
    -1871        for i, e in enumerate(expressions):
    -1872            sql = self.sql(e, comment=False)
    -1873            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
    -1874
    -1875            if self.pretty:
    -1876                if self._leading_comma:
    -1877                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
    -1878                else:
    -1879                    result_sqls.append(
    -1880                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
    -1881                    )
    -1882            else:
    -1883                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
    -1884
    -1885        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
    -1886        return self.indent(result_sql, skip_first=False) if indent else result_sql
    +            
    1865    def expressions(
    +1866        self,
    +1867        expression: exp.Expression,
    +1868        key: t.Optional[str] = None,
    +1869        flat: bool = False,
    +1870        indent: bool = True,
    +1871        sep: str = ", ",
    +1872        prefix: str = "",
    +1873    ) -> str:
    +1874        expressions = expression.args.get(key or "expressions")
    +1875
    +1876        if not expressions:
    +1877            return ""
    +1878
    +1879        if flat:
    +1880            return sep.join(self.sql(e) for e in expressions)
    +1881
    +1882        num_sqls = len(expressions)
    +1883
    +1884        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
    +1885        pad = " " * self.pad
    +1886        stripped_sep = sep.strip()
    +1887
    +1888        result_sqls = []
    +1889        for i, e in enumerate(expressions):
    +1890            sql = self.sql(e, comment=False)
    +1891            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
    +1892
    +1893            if self.pretty:
    +1894                if self._leading_comma:
    +1895                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
    +1896                else:
    +1897                    result_sqls.append(
    +1898                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
    +1899                    )
    +1900            else:
    +1901                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
    +1902
    +1903        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
    +1904        return self.indent(result_sql, skip_first=False) if indent else result_sql
     
    @@ -9490,12 +9582,12 @@ Default: True
    -
    1888    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
    -1889        flat = flat or isinstance(expression.parent, exp.Properties)
    -1890        expressions_sql = self.expressions(expression, flat=flat)
    -1891        if flat:
    -1892            return f"{op} {expressions_sql}"
    -1893        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
    +            
    1906    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
    +1907        flat = flat or isinstance(expression.parent, exp.Properties)
    +1908        expressions_sql = self.expressions(expression, flat=flat)
    +1909        if flat:
    +1910            return f"{op} {expressions_sql}"
    +1911        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
     
    @@ -9513,11 +9605,11 @@ Default: True
    -
    1895    def naked_property(self, expression: exp.Property) -> str:
    -1896        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
    -1897        if not property_name:
    -1898            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
    -1899        return f"{property_name} {self.sql(expression, 'this')}"
    +            
    1913    def naked_property(self, expression: exp.Property) -> str:
    +1914        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
    +1915        if not property_name:
    +1916            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
    +1917        return f"{property_name} {self.sql(expression, 'this')}"
     
    @@ -9535,12 +9627,12 @@ Default: True
    -
    1901    def set_operation(self, expression: exp.Expression, op: str) -> str:
    -1902        this = self.sql(expression, "this")
    -1903        op = self.seg(op)
    -1904        return self.query_modifiers(
    -1905            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
    -1906        )
    +            
    1919    def set_operation(self, expression: exp.Expression, op: str) -> str:
    +1920        this = self.sql(expression, "this")
    +1921        op = self.seg(op)
    +1922        return self.query_modifiers(
    +1923            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
    +1924        )
     
    @@ -9558,8 +9650,8 @@ Default: True
    -
    1908    def tag_sql(self, expression: exp.Tag) -> str:
    -1909        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
    +            
    1926    def tag_sql(self, expression: exp.Tag) -> str:
    +1927        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
     
    @@ -9577,8 +9669,8 @@ Default: True
    -
    1911    def token_sql(self, token_type: TokenType) -> str:
    -1912        return self.TOKEN_MAPPING.get(token_type, token_type.name)
    +            
    1929    def token_sql(self, token_type: TokenType) -> str:
    +1930        return self.TOKEN_MAPPING.get(token_type, token_type.name)
     
    @@ -9596,13 +9688,13 @@ Default: True
    -
    1914    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
    -1915        this = self.sql(expression, "this")
    -1916        expressions = self.no_identify(self.expressions, expression)
    -1917        expressions = (
    -1918            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
    -1919        )
    -1920        return f"{this}{expressions}"
    +            
    1932    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
    +1933        this = self.sql(expression, "this")
    +1934        expressions = self.no_identify(self.expressions, expression)
    +1935        expressions = (
    +1936            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
    +1937        )
    +1938        return f"{this}{expressions}"
     
    @@ -9620,10 +9712,10 @@ Default: True
    -
    1922    def joinhint_sql(self, expression: exp.JoinHint) -> str:
    -1923        this = self.sql(expression, "this")
    -1924        expressions = self.expressions(expression, flat=True)
    -1925        return f"{this}({expressions})"
    +            
    1940    def joinhint_sql(self, expression: exp.JoinHint) -> str:
    +1941        this = self.sql(expression, "this")
    +1942        expressions = self.expressions(expression, flat=True)
    +1943        return f"{this}({expressions})"
     
    @@ -9641,8 +9733,8 @@ Default: True
    -
    1927    def kwarg_sql(self, expression: exp.Kwarg) -> str:
    -1928        return self.binary(expression, "=>")
    +            
    1945    def kwarg_sql(self, expression: exp.Kwarg) -> str:
    +1946        return self.binary(expression, "=>")
     
    @@ -9660,21 +9752,21 @@ Default: True
    -
    1930    def when_sql(self, expression: exp.When) -> str:
    -1931        this = self.sql(expression, "this")
    -1932        then_expression = expression.args.get("then")
    -1933        if isinstance(then_expression, exp.Insert):
    -1934            then = f"INSERT {self.sql(then_expression, 'this')}"
    -1935            if "expression" in then_expression.args:
    -1936                then += f" VALUES {self.sql(then_expression, 'expression')}"
    -1937        elif isinstance(then_expression, exp.Update):
    -1938            if isinstance(then_expression.args.get("expressions"), exp.Star):
    -1939                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
    -1940            else:
    -1941                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
    -1942        else:
    -1943            then = self.sql(then_expression)
    -1944        return f"WHEN {this} THEN {then}"
    +            
    1948    def when_sql(self, expression: exp.When) -> str:
    +1949        this = self.sql(expression, "this")
    +1950        then_expression = expression.args.get("then")
    +1951        if isinstance(then_expression, exp.Insert):
    +1952            then = f"INSERT {self.sql(then_expression, 'this')}"
    +1953            if "expression" in then_expression.args:
    +1954                then += f" VALUES {self.sql(then_expression, 'expression')}"
    +1955        elif isinstance(then_expression, exp.Update):
    +1956            if isinstance(then_expression.args.get("expressions"), exp.Star):
    +1957                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
    +1958            else:
    +1959                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
    +1960        else:
    +1961            then = self.sql(then_expression)
    +1962        return f"WHEN {this} THEN {then}"
     
    @@ -9692,11 +9784,11 @@ Default: True
    -
    1946    def merge_sql(self, expression: exp.Merge) -> str:
    -1947        this = self.sql(expression, "this")
    -1948        using = f"USING {self.sql(expression, 'using')}"
    -1949        on = f"ON {self.sql(expression, 'on')}"
    -1950        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
    +            
    1964    def merge_sql(self, expression: exp.Merge) -> str:
    +1965        this = self.sql(expression, "this")
    +1966        using = f"USING {self.sql(expression, 'using')}"
    +1967        on = f"ON {self.sql(expression, 'on')}"
    +1968        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
     
    diff --git a/docs/sqlglot/lineage.html b/docs/sqlglot/lineage.html index 3e7a806..196798b 100644 --- a/docs/sqlglot/lineage.html +++ b/docs/sqlglot/lineage.html @@ -413,7 +413,7 @@
    def - lineage( column: str | sqlglot.expressions.Column, sql: str | sqlglot.expressions.Expression, schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None, sources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None, rules: Sequence[Callable] = (<function qualify_tables at 0x7fcb8dd0eef0>, <function qualify_columns at 0x7fcb8dd0de10>, <function expand_laterals at 0x7fcb8dd0c550>), dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node: + lineage( column: str | sqlglot.expressions.Column, sql: str | sqlglot.expressions.Expression, schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None, sources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None, rules: Sequence[Callable] = (<function qualify_tables at 0x7fc261078040>, <function qualify_columns at 0x7fc26108aef0>, <function expand_laterals at 0x7fc2610896c0>), dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node: diff --git a/docs/sqlglot/optimizer/merge_subqueries.html b/docs/sqlglot/optimizer/merge_subqueries.html index 8adfc14..1842f90 100644 --- a/docs/sqlglot/optimizer/merge_subqueries.html +++ b/docs/sqlglot/optimizer/merge_subqueries.html @@ -378,60 +378,74 @@ 314 if not where or not where.this: 315 return 316 -317 if isinstance(from_or_join, exp.Join): -318 # Merge predicates from an outer join to the ON clause -319 from_or_join.on(where.this, copy=False) -320 from_or_join.set("on", simplify(from_or_join.args.get("on"))) -321 else: -322 outer_scope.expression.where(where.this, copy=False) -323 outer_scope.expression.set("where", simplify(outer_scope.expression.args.get("where"))) +317 expression = outer_scope.expression +318 +319 if isinstance(from_or_join, exp.Join): +320 # Merge predicates from an outer join to the ON clause +321 # if it only has columns that are already joined +322 from_ = expression.args.get("from") +323 sources = {table.alias_or_name for table in from_.expressions} if from_ else {} 324 -325 -326def _merge_order(outer_scope, inner_scope): -327 """ -328 Merge ORDER clause of inner query into outer query. -329 -330 Args: -331 outer_scope (sqlglot.optimizer.scope.Scope) -332 inner_scope (sqlglot.optimizer.scope.Scope) -333 """ -334 if ( -335 any( -336 outer_scope.expression.args.get(arg) for arg in ["group", "distinct", "having", "order"] -337 ) -338 or len(outer_scope.selected_sources) != 1 -339 or any(expression.find(exp.AggFunc) for expression in outer_scope.expression.expressions) -340 ): -341 return -342 -343 outer_scope.expression.set("order", inner_scope.expression.args.get("order")) -344 -345 -346def _merge_hints(outer_scope, inner_scope): -347 inner_scope_hint = inner_scope.expression.args.get("hint") -348 if not inner_scope_hint: -349 return -350 outer_scope_hint = outer_scope.expression.args.get("hint") -351 if outer_scope_hint: -352 for hint_expression in inner_scope_hint.expressions: -353 outer_scope_hint.append("expressions", hint_expression) -354 else: -355 outer_scope.expression.set("hint", inner_scope_hint) +325 for join in expression.args["joins"]: +326 source = join.alias_or_name +327 sources.add(source) +328 if source == from_or_join.alias_or_name: +329 break +330 +331 if set(exp.column_table_names(where.this)) <= sources: +332 from_or_join.on(where.this, copy=False) +333 from_or_join.set("on", simplify(from_or_join.args.get("on"))) +334 return +335 +336 expression.where(where.this, copy=False) +337 expression.set("where", simplify(expression.args.get("where"))) +338 +339 +340def _merge_order(outer_scope, inner_scope): +341 """ +342 Merge ORDER clause of inner query into outer query. +343 +344 Args: +345 outer_scope (sqlglot.optimizer.scope.Scope) +346 inner_scope (sqlglot.optimizer.scope.Scope) +347 """ +348 if ( +349 any( +350 outer_scope.expression.args.get(arg) for arg in ["group", "distinct", "having", "order"] +351 ) +352 or len(outer_scope.selected_sources) != 1 +353 or any(expression.find(exp.AggFunc) for expression in outer_scope.expression.expressions) +354 ): +355 return 356 -357 -358def _pop_cte(inner_scope): -359 """ -360 Remove CTE from the AST. -361 -362 Args: -363 inner_scope (sqlglot.optimizer.scope.Scope) -364 """ -365 cte = inner_scope.expression.parent -366 with_ = cte.parent -367 if len(with_.expressions) == 1: -368 with_.pop() -369 else: -370 cte.pop() +357 outer_scope.expression.set("order", inner_scope.expression.args.get("order")) +358 +359 +360def _merge_hints(outer_scope, inner_scope): +361 inner_scope_hint = inner_scope.expression.args.get("hint") +362 if not inner_scope_hint: +363 return +364 outer_scope_hint = outer_scope.expression.args.get("hint") +365 if outer_scope_hint: +366 for hint_expression in inner_scope_hint.expressions: +367 outer_scope_hint.append("expressions", hint_expression) +368 else: +369 outer_scope.expression.set("hint", inner_scope_hint) +370 +371 +372def _pop_cte(inner_scope): +373 """ +374 Remove CTE from the AST. +375 +376 Args: +377 inner_scope (sqlglot.optimizer.scope.Scope) +378 """ +379 cte = inner_scope.expression.parent +380 with_ = cte.parent +381 if len(with_.expressions) == 1: +382 with_.pop() +383 else: +384 cte.pop()
    diff --git a/docs/sqlglot/optimizer/optimizer.html b/docs/sqlglot/optimizer/optimizer.html index 41d2a94..7bc7966 100644 --- a/docs/sqlglot/optimizer/optimizer.html +++ b/docs/sqlglot/optimizer/optimizer.html @@ -156,7 +156,7 @@
    def - optimize( expression: str | sqlglot.expressions.Expression, schema: Union[dict, sqlglot.schema.Schema, NoneType] = None, db: Optional[str] = None, catalog: Optional[str] = None, dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None, rules: Sequence[Callable] = (<function lower_identities at 0x7fcb8dd0c820>, <function qualify_tables at 0x7fcb8dd0eef0>, <function isolate_table_selects at 0x7fcb8dd0c790>, <function qualify_columns at 0x7fcb8dd0de10>, <function expand_laterals at 0x7fcb8dd0c550>, <function pushdown_projections at 0x7fcb8dd0e8c0>, <function validate_qualify_columns at 0x7fcb8dd0dea0>, <function normalize at 0x7fcb8dcc24d0>, <function unnest_subqueries at 0x7fcb8dd0f010>, <function expand_multi_table_selects at 0x7fcb8dd0c700>, <function pushdown_predicates at 0x7fcb8dd0d900>, <function optimize_joins at 0x7fcb8dd0d630>, <function eliminate_subqueries at 0x7fcb8dd0c160>, <function merge_subqueries at 0x7fcb8dd0caf0>, <function eliminate_joins at 0x7fcb8dcc2320>, <function eliminate_ctes at 0x7fcb8dcc2200>, <function annotate_types at 0x7fcb8dc9b130>, <function canonicalize at 0x7fcb8dcc1e10>), **kwargs): + optimize( expression: str | sqlglot.expressions.Expression, schema: Union[dict, sqlglot.schema.Schema, NoneType] = None, db: Optional[str] = None, catalog: Optional[str] = None, dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None, rules: Sequence[Callable] = (<function lower_identities at 0x7fc261089990>, <function qualify_tables at 0x7fc261078040>, <function isolate_table_selects at 0x7fc261089900>, <function qualify_columns at 0x7fc26108aef0>, <function expand_laterals at 0x7fc2610896c0>, <function pushdown_projections at 0x7fc26108b9a0>, <function validate_qualify_columns at 0x7fc26108af80>, <function normalize at 0x7fc26109b640>, <function unnest_subqueries at 0x7fc261078160>, <function expand_multi_table_selects at 0x7fc261089870>, <function pushdown_predicates at 0x7fc26108aa70>, <function optimize_joins at 0x7fc26108a7a0>, <function eliminate_subqueries at 0x7fc2610892d0>, <function merge_subqueries at 0x7fc261089c60>, <function eliminate_joins at 0x7fc26109b520>, <function eliminate_ctes at 0x7fc26109b400>, <function annotate_types at 0x7fc260ff4310>, <function canonicalize at 0x7fc26109b010>), **kwargs): diff --git a/docs/sqlglot/optimizer/pushdown_projections.html b/docs/sqlglot/optimizer/pushdown_projections.html index 6cb1975..54d7932 100644 --- a/docs/sqlglot/optimizer/pushdown_projections.html +++ b/docs/sqlglot/optimizer/pushdown_projections.html @@ -74,7 +74,7 @@ 13DEFAULT_SELECTION = lambda: alias("1", "_") 14 15 - 16def pushdown_projections(expression, schema=None): + 16def pushdown_projections(expression, schema=None, remove_unused_selections=True): 17 """ 18 Rewrite sqlglot AST to remove unused columns projections. 19 @@ -87,94 +87,96 @@ 26 27 Args: 28 expression (sqlglot.Expression): expression to optimize - 29 Returns: - 30 sqlglot.Expression: optimized expression - 31 """ - 32 # Map of Scope to all columns being selected by outer queries. - 33 schema = ensure_schema(schema) - 34 referenced_columns = defaultdict(set) - 35 - 36 # We build the scope tree (which is traversed in DFS postorder), then iterate - 37 # over the result in reverse order. This should ensure that the set of selected - 38 # columns for a particular scope are completely build by the time we get to it. - 39 for scope in reversed(traverse_scope(expression)): - 40 parent_selections = referenced_columns.get(scope, {SELECT_ALL}) - 41 - 42 if scope.expression.args.get("distinct"): - 43 # We can't remove columns SELECT DISTINCT nor UNION DISTINCT - 44 parent_selections = {SELECT_ALL} - 45 - 46 if isinstance(scope.expression, exp.Union): - 47 left, right = scope.union_scopes - 48 referenced_columns[left] = parent_selections - 49 - 50 if any(select.is_star for select in right.selects): - 51 referenced_columns[right] = parent_selections - 52 elif not any(select.is_star for select in left.selects): - 53 referenced_columns[right] = [ - 54 right.selects[i].alias_or_name - 55 for i, select in enumerate(left.selects) - 56 if SELECT_ALL in parent_selections or select.alias_or_name in parent_selections - 57 ] - 58 - 59 if isinstance(scope.expression, exp.Select): - 60 _remove_unused_selections(scope, parent_selections, schema) - 61 - 62 # Group columns by source name - 63 selects = defaultdict(set) - 64 for col in scope.columns: - 65 table_name = col.table - 66 col_name = col.name - 67 selects[table_name].add(col_name) - 68 - 69 # Push the selected columns down to the next scope - 70 for name, (_, source) in scope.selected_sources.items(): - 71 if isinstance(source, Scope): - 72 columns = selects.get(name) or set() - 73 referenced_columns[source].update(columns) - 74 - 75 return expression + 29 remove_unused_selections (bool): remove selects that are unused + 30 Returns: + 31 sqlglot.Expression: optimized expression + 32 """ + 33 # Map of Scope to all columns being selected by outer queries. + 34 schema = ensure_schema(schema) + 35 referenced_columns = defaultdict(set) + 36 + 37 # We build the scope tree (which is traversed in DFS postorder), then iterate + 38 # over the result in reverse order. This should ensure that the set of selected + 39 # columns for a particular scope are completely build by the time we get to it. + 40 for scope in reversed(traverse_scope(expression)): + 41 parent_selections = referenced_columns.get(scope, {SELECT_ALL}) + 42 + 43 if scope.expression.args.get("distinct"): + 44 # We can't remove columns SELECT DISTINCT nor UNION DISTINCT + 45 parent_selections = {SELECT_ALL} + 46 + 47 if isinstance(scope.expression, exp.Union): + 48 left, right = scope.union_scopes + 49 referenced_columns[left] = parent_selections + 50 + 51 if any(select.is_star for select in right.selects): + 52 referenced_columns[right] = parent_selections + 53 elif not any(select.is_star for select in left.selects): + 54 referenced_columns[right] = [ + 55 right.selects[i].alias_or_name + 56 for i, select in enumerate(left.selects) + 57 if SELECT_ALL in parent_selections or select.alias_or_name in parent_selections + 58 ] + 59 + 60 if isinstance(scope.expression, exp.Select): + 61 if remove_unused_selections: + 62 _remove_unused_selections(scope, parent_selections, schema) + 63 + 64 # Group columns by source name + 65 selects = defaultdict(set) + 66 for col in scope.columns: + 67 table_name = col.table + 68 col_name = col.name + 69 selects[table_name].add(col_name) + 70 + 71 # Push the selected columns down to the next scope + 72 for name, (_, source) in scope.selected_sources.items(): + 73 if isinstance(source, Scope): + 74 columns = selects.get(name) or set() + 75 referenced_columns[source].update(columns) 76 - 77 - 78def _remove_unused_selections(scope, parent_selections, schema): - 79 order = scope.expression.args.get("order") - 80 - 81 if order: - 82 # Assume columns without a qualified table are references to output columns - 83 order_refs = {c.name for c in order.find_all(exp.Column) if not c.table} - 84 else: - 85 order_refs = set() - 86 - 87 new_selections = defaultdict(list) - 88 removed = False - 89 star = False - 90 for selection in scope.selects: - 91 name = selection.alias_or_name - 92 - 93 if SELECT_ALL in parent_selections or name in parent_selections or name in order_refs: - 94 new_selections[name].append(selection) - 95 else: - 96 if selection.is_star: - 97 star = True - 98 removed = True - 99 -100 if star: -101 resolver = Resolver(scope, schema) -102 -103 for name in sorted(parent_selections): -104 if name not in new_selections: -105 new_selections[name].append( -106 alias(exp.column(name, table=resolver.get_table(name)), name) -107 ) -108 -109 # If there are no remaining selections, just select a single constant -110 if not new_selections: -111 new_selections[""].append(DEFAULT_SELECTION()) -112 -113 scope.expression.select(*flatten(new_selections.values()), append=False, copy=False) + 77 return expression + 78 + 79 + 80def _remove_unused_selections(scope, parent_selections, schema): + 81 order = scope.expression.args.get("order") + 82 + 83 if order: + 84 # Assume columns without a qualified table are references to output columns + 85 order_refs = {c.name for c in order.find_all(exp.Column) if not c.table} + 86 else: + 87 order_refs = set() + 88 + 89 new_selections = defaultdict(list) + 90 removed = False + 91 star = False + 92 for selection in scope.selects: + 93 name = selection.alias_or_name + 94 + 95 if SELECT_ALL in parent_selections or name in parent_selections or name in order_refs: + 96 new_selections[name].append(selection) + 97 else: + 98 if selection.is_star: + 99 star = True +100 removed = True +101 +102 if star: +103 resolver = Resolver(scope, schema) +104 +105 for name in sorted(parent_selections): +106 if name not in new_selections: +107 new_selections[name].append( +108 alias(exp.column(name, table=resolver.get_table(name)), name) +109 ) +110 +111 # If there are no remaining selections, just select a single constant +112 if not new_selections: +113 new_selections[""].append(DEFAULT_SELECTION()) 114 -115 if removed: -116 scope.clear_cache() +115 scope.expression.select(*flatten(new_selections.values()), append=False, copy=False) +116 +117 if removed: +118 scope.clear_cache()
    @@ -202,13 +204,13 @@
    def - pushdown_projections(expression, schema=None): + pushdown_projections(expression, schema=None, remove_unused_selections=True):
    -
    17def pushdown_projections(expression, schema=None):
    +            
    17def pushdown_projections(expression, schema=None, remove_unused_selections=True):
     18    """
     19    Rewrite sqlglot AST to remove unused columns projections.
     20
    @@ -221,53 +223,55 @@
     27
     28    Args:
     29        expression (sqlglot.Expression): expression to optimize
    -30    Returns:
    -31        sqlglot.Expression: optimized expression
    -32    """
    -33    # Map of Scope to all columns being selected by outer queries.
    -34    schema = ensure_schema(schema)
    -35    referenced_columns = defaultdict(set)
    -36
    -37    # We build the scope tree (which is traversed in DFS postorder), then iterate
    -38    # over the result in reverse order. This should ensure that the set of selected
    -39    # columns for a particular scope are completely build by the time we get to it.
    -40    for scope in reversed(traverse_scope(expression)):
    -41        parent_selections = referenced_columns.get(scope, {SELECT_ALL})
    -42
    -43        if scope.expression.args.get("distinct"):
    -44            # We can't remove columns SELECT DISTINCT nor UNION DISTINCT
    -45            parent_selections = {SELECT_ALL}
    -46
    -47        if isinstance(scope.expression, exp.Union):
    -48            left, right = scope.union_scopes
    -49            referenced_columns[left] = parent_selections
    -50
    -51            if any(select.is_star for select in right.selects):
    -52                referenced_columns[right] = parent_selections
    -53            elif not any(select.is_star for select in left.selects):
    -54                referenced_columns[right] = [
    -55                    right.selects[i].alias_or_name
    -56                    for i, select in enumerate(left.selects)
    -57                    if SELECT_ALL in parent_selections or select.alias_or_name in parent_selections
    -58                ]
    -59
    -60        if isinstance(scope.expression, exp.Select):
    -61            _remove_unused_selections(scope, parent_selections, schema)
    -62
    -63            # Group columns by source name
    -64            selects = defaultdict(set)
    -65            for col in scope.columns:
    -66                table_name = col.table
    -67                col_name = col.name
    -68                selects[table_name].add(col_name)
    -69
    -70            # Push the selected columns down to the next scope
    -71            for name, (_, source) in scope.selected_sources.items():
    -72                if isinstance(source, Scope):
    -73                    columns = selects.get(name) or set()
    -74                    referenced_columns[source].update(columns)
    -75
    -76    return expression
    +30        remove_unused_selections (bool): remove selects that are unused
    +31    Returns:
    +32        sqlglot.Expression: optimized expression
    +33    """
    +34    # Map of Scope to all columns being selected by outer queries.
    +35    schema = ensure_schema(schema)
    +36    referenced_columns = defaultdict(set)
    +37
    +38    # We build the scope tree (which is traversed in DFS postorder), then iterate
    +39    # over the result in reverse order. This should ensure that the set of selected
    +40    # columns for a particular scope are completely build by the time we get to it.
    +41    for scope in reversed(traverse_scope(expression)):
    +42        parent_selections = referenced_columns.get(scope, {SELECT_ALL})
    +43
    +44        if scope.expression.args.get("distinct"):
    +45            # We can't remove columns SELECT DISTINCT nor UNION DISTINCT
    +46            parent_selections = {SELECT_ALL}
    +47
    +48        if isinstance(scope.expression, exp.Union):
    +49            left, right = scope.union_scopes
    +50            referenced_columns[left] = parent_selections
    +51
    +52            if any(select.is_star for select in right.selects):
    +53                referenced_columns[right] = parent_selections
    +54            elif not any(select.is_star for select in left.selects):
    +55                referenced_columns[right] = [
    +56                    right.selects[i].alias_or_name
    +57                    for i, select in enumerate(left.selects)
    +58                    if SELECT_ALL in parent_selections or select.alias_or_name in parent_selections
    +59                ]
    +60
    +61        if isinstance(scope.expression, exp.Select):
    +62            if remove_unused_selections:
    +63                _remove_unused_selections(scope, parent_selections, schema)
    +64
    +65            # Group columns by source name
    +66            selects = defaultdict(set)
    +67            for col in scope.columns:
    +68                table_name = col.table
    +69                col_name = col.name
    +70                selects[table_name].add(col_name)
    +71
    +72            # Push the selected columns down to the next scope
    +73            for name, (_, source) in scope.selected_sources.items():
    +74                if isinstance(source, Scope):
    +75                    columns = selects.get(name) or set()
    +76                    referenced_columns[source].update(columns)
    +77
    +78    return expression
     
    @@ -290,6 +294,7 @@
    • expression (sqlglot.Expression): expression to optimize
    • +
    • remove_unused_selections (bool): remove selects that are unused
    Returns:
    diff --git a/docs/sqlglot/parser.html b/docs/sqlglot/parser.html index cfd4563..b2685da 100644 --- a/docs/sqlglot/parser.html +++ b/docs/sqlglot/parser.html @@ -245,3729 +245,3770 @@
    157 158 RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT} 159 - 160 ID_VAR_TOKENS = { - 161 TokenType.VAR, - 162 TokenType.ANTI, - 163 TokenType.APPLY, - 164 TokenType.AUTO_INCREMENT, - 165 TokenType.BEGIN, - 166 TokenType.BOTH, - 167 TokenType.BUCKET, - 168 TokenType.CACHE, - 169 TokenType.CASCADE, - 170 TokenType.COLLATE, - 171 TokenType.COLUMN, - 172 TokenType.COMMAND, - 173 TokenType.COMMIT, - 174 TokenType.COMPOUND, - 175 TokenType.CONSTRAINT, - 176 TokenType.CURRENT_TIME, - 177 TokenType.DEFAULT, - 178 TokenType.DELETE, - 179 TokenType.DESCRIBE, - 180 TokenType.DIV, - 181 TokenType.END, - 182 TokenType.EXECUTE, - 183 TokenType.ESCAPE, - 184 TokenType.FALSE, - 185 TokenType.FIRST, - 186 TokenType.FILTER, - 187 TokenType.FOLLOWING, - 188 TokenType.FORMAT, - 189 TokenType.FUNCTION, - 190 TokenType.IF, - 191 TokenType.INDEX, - 192 TokenType.ISNULL, - 193 TokenType.INTERVAL, - 194 TokenType.LAZY, - 195 TokenType.LEADING, - 196 TokenType.LEFT, - 197 TokenType.LOCAL, - 198 TokenType.MATERIALIZED, - 199 TokenType.MERGE, - 200 TokenType.NATURAL, - 201 TokenType.NEXT, - 202 TokenType.OFFSET, - 203 TokenType.ONLY, - 204 TokenType.OPTIONS, - 205 TokenType.ORDINALITY, - 206 TokenType.PERCENT, - 207 TokenType.PIVOT, - 208 TokenType.PRECEDING, - 209 TokenType.RANGE, - 210 TokenType.REFERENCES, - 211 TokenType.RIGHT, - 212 TokenType.ROW, - 213 TokenType.ROWS, - 214 TokenType.SCHEMA, - 215 TokenType.SEED, - 216 TokenType.SEMI, - 217 TokenType.SET, - 218 TokenType.SHOW, - 219 TokenType.SORTKEY, - 220 TokenType.TABLE, - 221 TokenType.TEMPORARY, - 222 TokenType.TOP, - 223 TokenType.TRAILING, - 224 TokenType.TRUE, - 225 TokenType.UNBOUNDED, - 226 TokenType.UNIQUE, - 227 TokenType.UNLOGGED, - 228 TokenType.UNPIVOT, - 229 TokenType.PROCEDURE, - 230 TokenType.VIEW, - 231 TokenType.VOLATILE, - 232 TokenType.WINDOW, - 233 *SUBQUERY_PREDICATES, - 234 *TYPE_TOKENS, - 235 *NO_PAREN_FUNCTIONS, - 236 } - 237 - 238 TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - { - 239 TokenType.APPLY, - 240 TokenType.LEFT, - 241 TokenType.NATURAL, - 242 TokenType.OFFSET, - 243 TokenType.RIGHT, - 244 TokenType.WINDOW, - 245 } - 246 - 247 UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET} - 248 - 249 TRIM_TYPES = {TokenType.LEADING, TokenType.TRAILING, TokenType.BOTH} - 250 - 251 FUNC_TOKENS = { - 252 TokenType.COMMAND, - 253 TokenType.CURRENT_DATE, - 254 TokenType.CURRENT_DATETIME, - 255 TokenType.CURRENT_TIMESTAMP, - 256 TokenType.CURRENT_TIME, - 257 TokenType.FILTER, - 258 TokenType.FIRST, - 259 TokenType.FORMAT, - 260 TokenType.IDENTIFIER, - 261 TokenType.INDEX, - 262 TokenType.ISNULL, - 263 TokenType.ILIKE, - 264 TokenType.LIKE, - 265 TokenType.MERGE, - 266 TokenType.OFFSET, - 267 TokenType.PRIMARY_KEY, - 268 TokenType.REPLACE, - 269 TokenType.ROW, - 270 TokenType.UNNEST, - 271 TokenType.VAR, - 272 TokenType.LEFT, - 273 TokenType.RIGHT, - 274 TokenType.DATE, - 275 TokenType.DATETIME, - 276 TokenType.TABLE, - 277 TokenType.TIMESTAMP, - 278 TokenType.TIMESTAMPTZ, - 279 TokenType.WINDOW, - 280 *TYPE_TOKENS, - 281 *SUBQUERY_PREDICATES, - 282 } - 283 - 284 CONJUNCTION = { - 285 TokenType.AND: exp.And, - 286 TokenType.OR: exp.Or, - 287 } - 288 - 289 EQUALITY = { - 290 TokenType.EQ: exp.EQ, - 291 TokenType.NEQ: exp.NEQ, - 292 TokenType.NULLSAFE_EQ: exp.NullSafeEQ, - 293 } - 294 - 295 COMPARISON = { - 296 TokenType.GT: exp.GT, - 297 TokenType.GTE: exp.GTE, - 298 TokenType.LT: exp.LT, - 299 TokenType.LTE: exp.LTE, - 300 } - 301 - 302 BITWISE = { - 303 TokenType.AMP: exp.BitwiseAnd, - 304 TokenType.CARET: exp.BitwiseXor, - 305 TokenType.PIPE: exp.BitwiseOr, - 306 TokenType.DPIPE: exp.DPipe, - 307 } - 308 - 309 TERM = { - 310 TokenType.DASH: exp.Sub, - 311 TokenType.PLUS: exp.Add, - 312 TokenType.MOD: exp.Mod, - 313 TokenType.COLLATE: exp.Collate, - 314 } - 315 - 316 FACTOR = { - 317 TokenType.DIV: exp.IntDiv, - 318 TokenType.LR_ARROW: exp.Distance, - 319 TokenType.SLASH: exp.Div, - 320 TokenType.STAR: exp.Mul, - 321 } - 322 - 323 TIMESTAMPS = { - 324 TokenType.TIME, - 325 TokenType.TIMESTAMP, - 326 TokenType.TIMESTAMPTZ, - 327 TokenType.TIMESTAMPLTZ, - 328 } - 329 - 330 SET_OPERATIONS = { - 331 TokenType.UNION, - 332 TokenType.INTERSECT, - 333 TokenType.EXCEPT, - 334 } - 335 - 336 JOIN_SIDES = { - 337 TokenType.LEFT, - 338 TokenType.RIGHT, - 339 TokenType.FULL, - 340 } - 341 - 342 JOIN_KINDS = { - 343 TokenType.INNER, - 344 TokenType.OUTER, - 345 TokenType.CROSS, - 346 TokenType.SEMI, - 347 TokenType.ANTI, - 348 } - 349 - 350 LAMBDAS = { - 351 TokenType.ARROW: lambda self, expressions: self.expression( - 352 exp.Lambda, - 353 this=self._parse_conjunction().transform( - 354 self._replace_lambda, {node.name for node in expressions} - 355 ), - 356 expressions=expressions, - 357 ), - 358 TokenType.FARROW: lambda self, expressions: self.expression( - 359 exp.Kwarg, - 360 this=exp.Var(this=expressions[0].name), - 361 expression=self._parse_conjunction(), - 362 ), - 363 } - 364 - 365 COLUMN_OPERATORS = { - 366 TokenType.DOT: None, - 367 TokenType.DCOLON: lambda self, this, to: self.expression( - 368 exp.Cast, - 369 this=this, - 370 to=to, - 371 ), - 372 TokenType.ARROW: lambda self, this, path: self.expression( - 373 exp.JSONExtract, - 374 this=this, - 375 expression=path, - 376 ), - 377 TokenType.DARROW: lambda self, this, path: self.expression( - 378 exp.JSONExtractScalar, + 160 DB_CREATABLES = { + 161 TokenType.DATABASE, + 162 TokenType.SCHEMA, + 163 TokenType.TABLE, + 164 TokenType.VIEW, + 165 } + 166 + 167 CREATABLES = { + 168 TokenType.COLUMN, + 169 TokenType.FUNCTION, + 170 TokenType.INDEX, + 171 TokenType.PROCEDURE, + 172 *DB_CREATABLES, + 173 } + 174 + 175 ID_VAR_TOKENS = { + 176 TokenType.VAR, + 177 TokenType.ANTI, + 178 TokenType.APPLY, + 179 TokenType.AUTO_INCREMENT, + 180 TokenType.BEGIN, + 181 TokenType.BOTH, + 182 TokenType.BUCKET, + 183 TokenType.CACHE, + 184 TokenType.CASCADE, + 185 TokenType.COLLATE, + 186 TokenType.COMMAND, + 187 TokenType.COMMENT, + 188 TokenType.COMMIT, + 189 TokenType.COMPOUND, + 190 TokenType.CONSTRAINT, + 191 TokenType.CURRENT_TIME, + 192 TokenType.DEFAULT, + 193 TokenType.DELETE, + 194 TokenType.DESCRIBE, + 195 TokenType.DIV, + 196 TokenType.END, + 197 TokenType.EXECUTE, + 198 TokenType.ESCAPE, + 199 TokenType.FALSE, + 200 TokenType.FIRST, + 201 TokenType.FILTER, + 202 TokenType.FOLLOWING, + 203 TokenType.FORMAT, + 204 TokenType.IF, + 205 TokenType.ISNULL, + 206 TokenType.INTERVAL, + 207 TokenType.LAZY, + 208 TokenType.LEADING, + 209 TokenType.LEFT, + 210 TokenType.LOCAL, + 211 TokenType.MATERIALIZED, + 212 TokenType.MERGE, + 213 TokenType.NATURAL, + 214 TokenType.NEXT, + 215 TokenType.OFFSET, + 216 TokenType.ONLY, + 217 TokenType.OPTIONS, + 218 TokenType.ORDINALITY, + 219 TokenType.PERCENT, + 220 TokenType.PIVOT, + 221 TokenType.PRECEDING, + 222 TokenType.RANGE, + 223 TokenType.REFERENCES, + 224 TokenType.RIGHT, + 225 TokenType.ROW, + 226 TokenType.ROWS, + 227 TokenType.SEED, + 228 TokenType.SEMI, + 229 TokenType.SET, + 230 TokenType.SHOW, + 231 TokenType.SORTKEY, + 232 TokenType.TEMPORARY, + 233 TokenType.TOP, + 234 TokenType.TRAILING, + 235 TokenType.TRUE, + 236 TokenType.UNBOUNDED, + 237 TokenType.UNIQUE, + 238 TokenType.UNLOGGED, + 239 TokenType.UNPIVOT, + 240 TokenType.VOLATILE, + 241 TokenType.WINDOW, + 242 *CREATABLES, + 243 *SUBQUERY_PREDICATES, + 244 *TYPE_TOKENS, + 245 *NO_PAREN_FUNCTIONS, + 246 } + 247 + 248 TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - { + 249 TokenType.APPLY, + 250 TokenType.LEFT, + 251 TokenType.NATURAL, + 252 TokenType.OFFSET, + 253 TokenType.RIGHT, + 254 TokenType.WINDOW, + 255 } + 256 + 257 UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET} + 258 + 259 TRIM_TYPES = {TokenType.LEADING, TokenType.TRAILING, TokenType.BOTH} + 260 + 261 FUNC_TOKENS = { + 262 TokenType.COMMAND, + 263 TokenType.CURRENT_DATE, + 264 TokenType.CURRENT_DATETIME, + 265 TokenType.CURRENT_TIMESTAMP, + 266 TokenType.CURRENT_TIME, + 267 TokenType.FILTER, + 268 TokenType.FIRST, + 269 TokenType.FORMAT, + 270 TokenType.IDENTIFIER, + 271 TokenType.INDEX, + 272 TokenType.ISNULL, + 273 TokenType.ILIKE, + 274 TokenType.LIKE, + 275 TokenType.MERGE, + 276 TokenType.OFFSET, + 277 TokenType.PRIMARY_KEY, + 278 TokenType.REPLACE, + 279 TokenType.ROW, + 280 TokenType.UNNEST, + 281 TokenType.VAR, + 282 TokenType.LEFT, + 283 TokenType.RIGHT, + 284 TokenType.DATE, + 285 TokenType.DATETIME, + 286 TokenType.TABLE, + 287 TokenType.TIMESTAMP, + 288 TokenType.TIMESTAMPTZ, + 289 TokenType.WINDOW, + 290 *TYPE_TOKENS, + 291 *SUBQUERY_PREDICATES, + 292 } + 293 + 294 CONJUNCTION = { + 295 TokenType.AND: exp.And, + 296 TokenType.OR: exp.Or, + 297 } + 298 + 299 EQUALITY = { + 300 TokenType.EQ: exp.EQ, + 301 TokenType.NEQ: exp.NEQ, + 302 TokenType.NULLSAFE_EQ: exp.NullSafeEQ, + 303 } + 304 + 305 COMPARISON = { + 306 TokenType.GT: exp.GT, + 307 TokenType.GTE: exp.GTE, + 308 TokenType.LT: exp.LT, + 309 TokenType.LTE: exp.LTE, + 310 } + 311 + 312 BITWISE = { + 313 TokenType.AMP: exp.BitwiseAnd, + 314 TokenType.CARET: exp.BitwiseXor, + 315 TokenType.PIPE: exp.BitwiseOr, + 316 TokenType.DPIPE: exp.DPipe, + 317 } + 318 + 319 TERM = { + 320 TokenType.DASH: exp.Sub, + 321 TokenType.PLUS: exp.Add, + 322 TokenType.MOD: exp.Mod, + 323 TokenType.COLLATE: exp.Collate, + 324 } + 325 + 326 FACTOR = { + 327 TokenType.DIV: exp.IntDiv, + 328 TokenType.LR_ARROW: exp.Distance, + 329 TokenType.SLASH: exp.Div, + 330 TokenType.STAR: exp.Mul, + 331 } + 332 + 333 TIMESTAMPS = { + 334 TokenType.TIME, + 335 TokenType.TIMESTAMP, + 336 TokenType.TIMESTAMPTZ, + 337 TokenType.TIMESTAMPLTZ, + 338 } + 339 + 340 SET_OPERATIONS = { + 341 TokenType.UNION, + 342 TokenType.INTERSECT, + 343 TokenType.EXCEPT, + 344 } + 345 + 346 JOIN_SIDES = { + 347 TokenType.LEFT, + 348 TokenType.RIGHT, + 349 TokenType.FULL, + 350 } + 351 + 352 JOIN_KINDS = { + 353 TokenType.INNER, + 354 TokenType.OUTER, + 355 TokenType.CROSS, + 356 TokenType.SEMI, + 357 TokenType.ANTI, + 358 } + 359 + 360 LAMBDAS = { + 361 TokenType.ARROW: lambda self, expressions: self.expression( + 362 exp.Lambda, + 363 this=self._parse_conjunction().transform( + 364 self._replace_lambda, {node.name for node in expressions} + 365 ), + 366 expressions=expressions, + 367 ), + 368 TokenType.FARROW: lambda self, expressions: self.expression( + 369 exp.Kwarg, + 370 this=exp.Var(this=expressions[0].name), + 371 expression=self._parse_conjunction(), + 372 ), + 373 } + 374 + 375 COLUMN_OPERATORS = { + 376 TokenType.DOT: None, + 377 TokenType.DCOLON: lambda self, this, to: self.expression( + 378 exp.Cast, 379 this=this, - 380 expression=path, + 380 to=to, 381 ), - 382 TokenType.HASH_ARROW: lambda self, this, path: self.expression( - 383 exp.JSONBExtract, + 382 TokenType.ARROW: lambda self, this, path: self.expression( + 383 exp.JSONExtract, 384 this=this, 385 expression=path, 386 ), - 387 TokenType.DHASH_ARROW: lambda self, this, path: self.expression( - 388 exp.JSONBExtractScalar, + 387 TokenType.DARROW: lambda self, this, path: self.expression( + 388 exp.JSONExtractScalar, 389 this=this, 390 expression=path, 391 ), - 392 TokenType.PLACEHOLDER: lambda self, this, key: self.expression( - 393 exp.JSONBContains, + 392 TokenType.HASH_ARROW: lambda self, this, path: self.expression( + 393 exp.JSONBExtract, 394 this=this, - 395 expression=key, + 395 expression=path, 396 ), - 397 } - 398 - 399 EXPRESSION_PARSERS = { - 400 exp.Column: lambda self: self._parse_column(), - 401 exp.DataType: lambda self: self._parse_types(), - 402 exp.From: lambda self: self._parse_from(), - 403 exp.Group: lambda self: self._parse_group(), - 404 exp.Identifier: lambda self: self._parse_id_var(), - 405 exp.Lateral: lambda self: self._parse_lateral(), - 406 exp.Join: lambda self: self._parse_join(), - 407 exp.Order: lambda self: self._parse_order(), - 408 exp.Cluster: lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), - 409 exp.Sort: lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), - 410 exp.Lambda: lambda self: self._parse_lambda(), - 411 exp.Limit: lambda self: self._parse_limit(), - 412 exp.Offset: lambda self: self._parse_offset(), - 413 exp.TableAlias: lambda self: self._parse_table_alias(), - 414 exp.Table: lambda self: self._parse_table(), - 415 exp.Condition: lambda self: self._parse_conjunction(), - 416 exp.Expression: lambda self: self._parse_statement(), - 417 exp.Properties: lambda self: self._parse_properties(), - 418 exp.Where: lambda self: self._parse_where(), - 419 exp.Ordered: lambda self: self._parse_ordered(), - 420 exp.Having: lambda self: self._parse_having(), - 421 exp.With: lambda self: self._parse_with(), - 422 exp.Window: lambda self: self._parse_named_window(), - 423 "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(), - 424 } - 425 - 426 STATEMENT_PARSERS = { - 427 TokenType.ALTER: lambda self: self._parse_alter(), - 428 TokenType.BEGIN: lambda self: self._parse_transaction(), - 429 TokenType.CACHE: lambda self: self._parse_cache(), - 430 TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(), - 431 TokenType.CREATE: lambda self: self._parse_create(), - 432 TokenType.DELETE: lambda self: self._parse_delete(), - 433 TokenType.DESC: lambda self: self._parse_describe(), - 434 TokenType.DESCRIBE: lambda self: self._parse_describe(), - 435 TokenType.DROP: lambda self: self._parse_drop(), - 436 TokenType.END: lambda self: self._parse_commit_or_rollback(), - 437 TokenType.INSERT: lambda self: self._parse_insert(), - 438 TokenType.LOAD_DATA: lambda self: self._parse_load_data(), - 439 TokenType.MERGE: lambda self: self._parse_merge(), - 440 TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(), - 441 TokenType.UNCACHE: lambda self: self._parse_uncache(), - 442 TokenType.UPDATE: lambda self: self._parse_update(), - 443 TokenType.USE: lambda self: self.expression( - 444 exp.Use, - 445 kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA")) - 446 and exp.Var(this=self._prev.text), - 447 this=self._parse_table(schema=False), - 448 ), - 449 } - 450 - 451 UNARY_PARSERS = { - 452 TokenType.PLUS: lambda self: self._parse_unary(), # Unary + is handled as a no-op - 453 TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()), - 454 TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()), - 455 TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()), - 456 } - 457 - 458 PRIMARY_PARSERS = { - 459 TokenType.STRING: lambda self, token: self.expression( - 460 exp.Literal, this=token.text, is_string=True - 461 ), - 462 TokenType.NUMBER: lambda self, token: self.expression( - 463 exp.Literal, this=token.text, is_string=False - 464 ), - 465 TokenType.STAR: lambda self, _: self.expression( - 466 exp.Star, - 467 **{"except": self._parse_except(), "replace": self._parse_replace()}, - 468 ), - 469 TokenType.NULL: lambda self, _: self.expression(exp.Null), - 470 TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True), - 471 TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False), - 472 TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text), - 473 TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text), - 474 TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text), - 475 TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token), - 476 TokenType.NATIONAL: lambda self, token: self._parse_national(token), - 477 TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(), - 478 } - 479 - 480 PLACEHOLDER_PARSERS = { - 481 TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder), - 482 TokenType.PARAMETER: lambda self: self._parse_parameter(), - 483 TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text) - 484 if self._match_set((TokenType.NUMBER, TokenType.VAR)) - 485 else None, - 486 } - 487 - 488 RANGE_PARSERS = { - 489 TokenType.BETWEEN: lambda self, this: self._parse_between(this), - 490 TokenType.GLOB: lambda self, this: self._parse_escape( - 491 self.expression(exp.Glob, this=this, expression=self._parse_bitwise()) - 492 ), - 493 TokenType.IN: lambda self, this: self._parse_in(this), - 494 TokenType.IS: lambda self, this: self._parse_is(this), - 495 TokenType.LIKE: lambda self, this: self._parse_escape( - 496 self.expression(exp.Like, this=this, expression=self._parse_bitwise()) - 497 ), - 498 TokenType.ILIKE: lambda self, this: self._parse_escape( - 499 self.expression(exp.ILike, this=this, expression=self._parse_bitwise()) - 500 ), - 501 TokenType.IRLIKE: lambda self, this: self.expression( - 502 exp.RegexpILike, this=this, expression=self._parse_bitwise() + 397 TokenType.DHASH_ARROW: lambda self, this, path: self.expression( + 398 exp.JSONBExtractScalar, + 399 this=this, + 400 expression=path, + 401 ), + 402 TokenType.PLACEHOLDER: lambda self, this, key: self.expression( + 403 exp.JSONBContains, + 404 this=this, + 405 expression=key, + 406 ), + 407 } + 408 + 409 EXPRESSION_PARSERS = { + 410 exp.Column: lambda self: self._parse_column(), + 411 exp.DataType: lambda self: self._parse_types(), + 412 exp.From: lambda self: self._parse_from(), + 413 exp.Group: lambda self: self._parse_group(), + 414 exp.Identifier: lambda self: self._parse_id_var(), + 415 exp.Lateral: lambda self: self._parse_lateral(), + 416 exp.Join: lambda self: self._parse_join(), + 417 exp.Order: lambda self: self._parse_order(), + 418 exp.Cluster: lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), + 419 exp.Sort: lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), + 420 exp.Lambda: lambda self: self._parse_lambda(), + 421 exp.Limit: lambda self: self._parse_limit(), + 422 exp.Offset: lambda self: self._parse_offset(), + 423 exp.TableAlias: lambda self: self._parse_table_alias(), + 424 exp.Table: lambda self: self._parse_table(), + 425 exp.Condition: lambda self: self._parse_conjunction(), + 426 exp.Expression: lambda self: self._parse_statement(), + 427 exp.Properties: lambda self: self._parse_properties(), + 428 exp.Where: lambda self: self._parse_where(), + 429 exp.Ordered: lambda self: self._parse_ordered(), + 430 exp.Having: lambda self: self._parse_having(), + 431 exp.With: lambda self: self._parse_with(), + 432 exp.Window: lambda self: self._parse_named_window(), + 433 "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(), + 434 } + 435 + 436 STATEMENT_PARSERS = { + 437 TokenType.ALTER: lambda self: self._parse_alter(), + 438 TokenType.BEGIN: lambda self: self._parse_transaction(), + 439 TokenType.CACHE: lambda self: self._parse_cache(), + 440 TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(), + 441 TokenType.COMMENT: lambda self: self._parse_comment(), + 442 TokenType.CREATE: lambda self: self._parse_create(), + 443 TokenType.DELETE: lambda self: self._parse_delete(), + 444 TokenType.DESC: lambda self: self._parse_describe(), + 445 TokenType.DESCRIBE: lambda self: self._parse_describe(), + 446 TokenType.DROP: lambda self: self._parse_drop(), + 447 TokenType.END: lambda self: self._parse_commit_or_rollback(), + 448 TokenType.INSERT: lambda self: self._parse_insert(), + 449 TokenType.LOAD_DATA: lambda self: self._parse_load_data(), + 450 TokenType.MERGE: lambda self: self._parse_merge(), + 451 TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(), + 452 TokenType.UNCACHE: lambda self: self._parse_uncache(), + 453 TokenType.UPDATE: lambda self: self._parse_update(), + 454 TokenType.USE: lambda self: self.expression( + 455 exp.Use, + 456 kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA")) + 457 and exp.Var(this=self._prev.text), + 458 this=self._parse_table(schema=False), + 459 ), + 460 } + 461 + 462 UNARY_PARSERS = { + 463 TokenType.PLUS: lambda self: self._parse_unary(), # Unary + is handled as a no-op + 464 TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()), + 465 TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()), + 466 TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()), + 467 } + 468 + 469 PRIMARY_PARSERS = { + 470 TokenType.STRING: lambda self, token: self.expression( + 471 exp.Literal, this=token.text, is_string=True + 472 ), + 473 TokenType.NUMBER: lambda self, token: self.expression( + 474 exp.Literal, this=token.text, is_string=False + 475 ), + 476 TokenType.STAR: lambda self, _: self.expression( + 477 exp.Star, + 478 **{"except": self._parse_except(), "replace": self._parse_replace()}, + 479 ), + 480 TokenType.NULL: lambda self, _: self.expression(exp.Null), + 481 TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True), + 482 TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False), + 483 TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text), + 484 TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text), + 485 TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text), + 486 TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token), + 487 TokenType.NATIONAL: lambda self, token: self._parse_national(token), + 488 TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(), + 489 } + 490 + 491 PLACEHOLDER_PARSERS = { + 492 TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder), + 493 TokenType.PARAMETER: lambda self: self._parse_parameter(), + 494 TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text) + 495 if self._match_set((TokenType.NUMBER, TokenType.VAR)) + 496 else None, + 497 } + 498 + 499 RANGE_PARSERS = { + 500 TokenType.BETWEEN: lambda self, this: self._parse_between(this), + 501 TokenType.GLOB: lambda self, this: self._parse_escape( + 502 self.expression(exp.Glob, this=this, expression=self._parse_bitwise()) 503 ), - 504 TokenType.RLIKE: lambda self, this: self.expression( - 505 exp.RegexpLike, this=this, expression=self._parse_bitwise() + 504 TokenType.OVERLAPS: lambda self, this: self._parse_escape( + 505 self.expression(exp.Overlaps, this=this, expression=self._parse_bitwise()) 506 ), - 507 TokenType.SIMILAR_TO: lambda self, this: self.expression( - 508 exp.SimilarTo, this=this, expression=self._parse_bitwise() - 509 ), - 510 } - 511 - 512 PROPERTY_PARSERS = { - 513 "AFTER": lambda self: self._parse_afterjournal( - 514 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" - 515 ), - 516 "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty), - 517 "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty), - 518 "BEFORE": lambda self: self._parse_journal( - 519 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 507 TokenType.IN: lambda self, this: self._parse_in(this), + 508 TokenType.IS: lambda self, this: self._parse_is(this), + 509 TokenType.LIKE: lambda self, this: self._parse_escape( + 510 self.expression(exp.Like, this=this, expression=self._parse_bitwise()) + 511 ), + 512 TokenType.ILIKE: lambda self, this: self._parse_escape( + 513 self.expression(exp.ILike, this=this, expression=self._parse_bitwise()) + 514 ), + 515 TokenType.IRLIKE: lambda self, this: self.expression( + 516 exp.RegexpILike, this=this, expression=self._parse_bitwise() + 517 ), + 518 TokenType.RLIKE: lambda self, this: self.expression( + 519 exp.RegexpLike, this=this, expression=self._parse_bitwise() 520 ), - 521 "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(), - 522 "CHARACTER SET": lambda self: self._parse_character_set(), - 523 "CHECKSUM": lambda self: self._parse_checksum(), - 524 "CLUSTER BY": lambda self: self.expression( - 525 exp.Cluster, expressions=self._parse_csv(self._parse_ordered) - 526 ), - 527 "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty), - 528 "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty), - 529 "DATABLOCKSIZE": lambda self: self._parse_datablocksize( - 530 default=self._prev.text.upper() == "DEFAULT" - 531 ), - 532 "DEFINER": lambda self: self._parse_definer(), - 533 "DETERMINISTIC": lambda self: self.expression( - 534 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") - 535 ), - 536 "DISTKEY": lambda self: self._parse_distkey(), - 537 "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty), - 538 "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty), - 539 "EXTERNAL": lambda self: self.expression(exp.ExternalProperty), - 540 "FALLBACK": lambda self: self._parse_fallback(no=self._prev.text.upper() == "NO"), - 541 "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty), - 542 "FREESPACE": lambda self: self._parse_freespace(), - 543 "GLOBAL": lambda self: self._parse_temporary(global_=True), - 544 "IMMUTABLE": lambda self: self.expression( - 545 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") - 546 ), - 547 "JOURNAL": lambda self: self._parse_journal( - 548 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 521 TokenType.SIMILAR_TO: lambda self, this: self.expression( + 522 exp.SimilarTo, this=this, expression=self._parse_bitwise() + 523 ), + 524 } + 525 + 526 PROPERTY_PARSERS = { + 527 "AFTER": lambda self: self._parse_afterjournal( + 528 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 529 ), + 530 "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty), + 531 "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty), + 532 "BEFORE": lambda self: self._parse_journal( + 533 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 534 ), + 535 "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(), + 536 "CHARACTER SET": lambda self: self._parse_character_set(), + 537 "CHECKSUM": lambda self: self._parse_checksum(), + 538 "CLUSTER BY": lambda self: self.expression( + 539 exp.Cluster, expressions=self._parse_csv(self._parse_ordered) + 540 ), + 541 "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty), + 542 "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty), + 543 "DATABLOCKSIZE": lambda self: self._parse_datablocksize( + 544 default=self._prev.text.upper() == "DEFAULT" + 545 ), + 546 "DEFINER": lambda self: self._parse_definer(), + 547 "DETERMINISTIC": lambda self: self.expression( + 548 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") 549 ), - 550 "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty), - 551 "LIKE": lambda self: self._parse_create_like(), - 552 "LOCAL": lambda self: self._parse_afterjournal(no=False, dual=False, local=True), - 553 "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty), - 554 "LOCK": lambda self: self._parse_locking(), - 555 "LOCKING": lambda self: self._parse_locking(), - 556 "LOG": lambda self: self._parse_log(no=self._prev.text.upper() == "NO"), - 557 "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty), - 558 "MAX": lambda self: self._parse_datablocksize(), - 559 "MAXIMUM": lambda self: self._parse_datablocksize(), - 560 "MERGEBLOCKRATIO": lambda self: self._parse_mergeblockratio( - 561 no=self._prev.text.upper() == "NO", default=self._prev.text.upper() == "DEFAULT" - 562 ), - 563 "MIN": lambda self: self._parse_datablocksize(), - 564 "MINIMUM": lambda self: self._parse_datablocksize(), - 565 "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True), - 566 "NO": lambda self: self._parse_noprimaryindex(), - 567 "NOT": lambda self: self._parse_afterjournal(no=False, dual=False, local=False), - 568 "ON": lambda self: self._parse_oncommit(), - 569 "PARTITION BY": lambda self: self._parse_partitioned_by(), - 570 "PARTITIONED BY": lambda self: self._parse_partitioned_by(), - 571 "PARTITIONED_BY": lambda self: self._parse_partitioned_by(), - 572 "RETURNS": lambda self: self._parse_returns(), - 573 "ROW": lambda self: self._parse_row(), - 574 "SET": lambda self: self.expression(exp.SetProperty, multi=False), - 575 "SORTKEY": lambda self: self._parse_sortkey(), - 576 "STABLE": lambda self: self.expression( - 577 exp.VolatilityProperty, this=exp.Literal.string("STABLE") - 578 ), - 579 "STORED": lambda self: self._parse_property_assignment(exp.FileFormatProperty), - 580 "TABLE_FORMAT": lambda self: self._parse_property_assignment(exp.TableFormatProperty), - 581 "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property), - 582 "TEMPORARY": lambda self: self._parse_temporary(global_=False), - 583 "TRANSIENT": lambda self: self.expression(exp.TransientProperty), - 584 "USING": lambda self: self._parse_property_assignment(exp.TableFormatProperty), - 585 "VOLATILE": lambda self: self.expression( - 586 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") - 587 ), - 588 "WITH": lambda self: self._parse_with_property(), - 589 } - 590 - 591 CONSTRAINT_PARSERS = { - 592 "AUTOINCREMENT": lambda self: self._parse_auto_increment(), - 593 "AUTO_INCREMENT": lambda self: self._parse_auto_increment(), - 594 "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False), - 595 "CHARACTER SET": lambda self: self.expression( - 596 exp.CharacterSetColumnConstraint, this=self._parse_var_or_string() - 597 ), - 598 "CHECK": lambda self: self.expression( - 599 exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction) - 600 ), - 601 "COLLATE": lambda self: self.expression( - 602 exp.CollateColumnConstraint, this=self._parse_var() - 603 ), - 604 "COMMENT": lambda self: self.expression( - 605 exp.CommentColumnConstraint, this=self._parse_string() - 606 ), - 607 "COMPRESS": lambda self: self._parse_compress(), - 608 "DEFAULT": lambda self: self.expression( - 609 exp.DefaultColumnConstraint, this=self._parse_bitwise() - 610 ), - 611 "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()), - 612 "FOREIGN KEY": lambda self: self._parse_foreign_key(), - 613 "FORMAT": lambda self: self.expression( - 614 exp.DateFormatColumnConstraint, this=self._parse_var_or_string() - 615 ), - 616 "GENERATED": lambda self: self._parse_generated_as_identity(), - 617 "IDENTITY": lambda self: self._parse_auto_increment(), - 618 "INLINE": lambda self: self._parse_inline(), - 619 "LIKE": lambda self: self._parse_create_like(), - 620 "NOT": lambda self: self._parse_not_constraint(), - 621 "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True), - 622 "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()), - 623 "PRIMARY KEY": lambda self: self._parse_primary_key(), - 624 "TITLE": lambda self: self.expression( - 625 exp.TitleColumnConstraint, this=self._parse_var_or_string() - 626 ), - 627 "UNIQUE": lambda self: self._parse_unique(), - 628 "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint), - 629 } - 630 - 631 SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"} - 632 - 633 NO_PAREN_FUNCTION_PARSERS = { - 634 TokenType.CASE: lambda self: self._parse_case(), - 635 TokenType.IF: lambda self: self._parse_if(), - 636 TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()), - 637 } - 638 - 639 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { - 640 "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST), - 641 "TRY_CONVERT": lambda self: self._parse_convert(False), - 642 "EXTRACT": lambda self: self._parse_extract(), - 643 "POSITION": lambda self: self._parse_position(), - 644 "SUBSTRING": lambda self: self._parse_substring(), - 645 "TRIM": lambda self: self._parse_trim(), - 646 "CAST": lambda self: self._parse_cast(self.STRICT_CAST), - 647 "TRY_CAST": lambda self: self._parse_cast(False), - 648 "STRING_AGG": lambda self: self._parse_string_agg(), - 649 } - 650 - 651 QUERY_MODIFIER_PARSERS = { - 652 "match": lambda self: self._parse_match_recognize(), - 653 "where": lambda self: self._parse_where(), - 654 "group": lambda self: self._parse_group(), - 655 "having": lambda self: self._parse_having(), - 656 "qualify": lambda self: self._parse_qualify(), - 657 "windows": lambda self: self._parse_window_clause(), - 658 "distribute": lambda self: self._parse_sort(TokenType.DISTRIBUTE_BY, exp.Distribute), - 659 "sort": lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), - 660 "cluster": lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), - 661 "order": lambda self: self._parse_order(), - 662 "limit": lambda self: self._parse_limit(), - 663 "offset": lambda self: self._parse_offset(), - 664 "lock": lambda self: self._parse_lock(), - 665 } - 666 - 667 SHOW_PARSERS: t.Dict[str, t.Callable] = {} - 668 SET_PARSERS: t.Dict[str, t.Callable] = {} - 669 - 670 MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table) - 671 - 672 CREATABLES = { - 673 TokenType.COLUMN, - 674 TokenType.FUNCTION, - 675 TokenType.INDEX, - 676 TokenType.PROCEDURE, - 677 TokenType.SCHEMA, - 678 TokenType.TABLE, - 679 TokenType.VIEW, - 680 } - 681 - 682 TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"} - 683 - 684 INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"} - 685 - 686 WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS} - 687 - 688 ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY} - 689 - 690 STRICT_CAST = True + 550 "DISTKEY": lambda self: self._parse_distkey(), + 551 "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty), + 552 "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty), + 553 "EXTERNAL": lambda self: self.expression(exp.ExternalProperty), + 554 "FALLBACK": lambda self: self._parse_fallback(no=self._prev.text.upper() == "NO"), + 555 "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty), + 556 "FREESPACE": lambda self: self._parse_freespace(), + 557 "GLOBAL": lambda self: self._parse_temporary(global_=True), + 558 "IMMUTABLE": lambda self: self.expression( + 559 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") + 560 ), + 561 "JOURNAL": lambda self: self._parse_journal( + 562 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 563 ), + 564 "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty), + 565 "LIKE": lambda self: self._parse_create_like(), + 566 "LOCAL": lambda self: self._parse_afterjournal(no=False, dual=False, local=True), + 567 "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty), + 568 "LOCK": lambda self: self._parse_locking(), + 569 "LOCKING": lambda self: self._parse_locking(), + 570 "LOG": lambda self: self._parse_log(no=self._prev.text.upper() == "NO"), + 571 "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty), + 572 "MAX": lambda self: self._parse_datablocksize(), + 573 "MAXIMUM": lambda self: self._parse_datablocksize(), + 574 "MERGEBLOCKRATIO": lambda self: self._parse_mergeblockratio( + 575 no=self._prev.text.upper() == "NO", default=self._prev.text.upper() == "DEFAULT" + 576 ), + 577 "MIN": lambda self: self._parse_datablocksize(), + 578 "MINIMUM": lambda self: self._parse_datablocksize(), + 579 "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True), + 580 "NO": lambda self: self._parse_noprimaryindex(), + 581 "NOT": lambda self: self._parse_afterjournal(no=False, dual=False, local=False), + 582 "ON": lambda self: self._parse_oncommit(), + 583 "PARTITION BY": lambda self: self._parse_partitioned_by(), + 584 "PARTITIONED BY": lambda self: self._parse_partitioned_by(), + 585 "PARTITIONED_BY": lambda self: self._parse_partitioned_by(), + 586 "RETURNS": lambda self: self._parse_returns(), + 587 "ROW": lambda self: self._parse_row(), + 588 "SET": lambda self: self.expression(exp.SetProperty, multi=False), + 589 "SORTKEY": lambda self: self._parse_sortkey(), + 590 "STABLE": lambda self: self.expression( + 591 exp.VolatilityProperty, this=exp.Literal.string("STABLE") + 592 ), + 593 "STORED": lambda self: self._parse_property_assignment(exp.FileFormatProperty), + 594 "TABLE_FORMAT": lambda self: self._parse_property_assignment(exp.TableFormatProperty), + 595 "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property), + 596 "TEMPORARY": lambda self: self._parse_temporary(global_=False), + 597 "TRANSIENT": lambda self: self.expression(exp.TransientProperty), + 598 "USING": lambda self: self._parse_property_assignment(exp.TableFormatProperty), + 599 "VOLATILE": lambda self: self.expression( + 600 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") + 601 ), + 602 "WITH": lambda self: self._parse_with_property(), + 603 } + 604 + 605 CONSTRAINT_PARSERS = { + 606 "AUTOINCREMENT": lambda self: self._parse_auto_increment(), + 607 "AUTO_INCREMENT": lambda self: self._parse_auto_increment(), + 608 "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False), + 609 "CHARACTER SET": lambda self: self.expression( + 610 exp.CharacterSetColumnConstraint, this=self._parse_var_or_string() + 611 ), + 612 "CHECK": lambda self: self.expression( + 613 exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction) + 614 ), + 615 "COLLATE": lambda self: self.expression( + 616 exp.CollateColumnConstraint, this=self._parse_var() + 617 ), + 618 "COMMENT": lambda self: self.expression( + 619 exp.CommentColumnConstraint, this=self._parse_string() + 620 ), + 621 "COMPRESS": lambda self: self._parse_compress(), + 622 "DEFAULT": lambda self: self.expression( + 623 exp.DefaultColumnConstraint, this=self._parse_bitwise() + 624 ), + 625 "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()), + 626 "FOREIGN KEY": lambda self: self._parse_foreign_key(), + 627 "FORMAT": lambda self: self.expression( + 628 exp.DateFormatColumnConstraint, this=self._parse_var_or_string() + 629 ), + 630 "GENERATED": lambda self: self._parse_generated_as_identity(), + 631 "IDENTITY": lambda self: self._parse_auto_increment(), + 632 "INLINE": lambda self: self._parse_inline(), + 633 "LIKE": lambda self: self._parse_create_like(), + 634 "NOT": lambda self: self._parse_not_constraint(), + 635 "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True), + 636 "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()), + 637 "PRIMARY KEY": lambda self: self._parse_primary_key(), + 638 "TITLE": lambda self: self.expression( + 639 exp.TitleColumnConstraint, this=self._parse_var_or_string() + 640 ), + 641 "UNIQUE": lambda self: self._parse_unique(), + 642 "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint), + 643 } + 644 + 645 ALTER_PARSERS = { + 646 "ADD": lambda self: self._parse_alter_table_add(), + 647 "ALTER": lambda self: self._parse_alter_table_alter(), + 648 "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()), + 649 "DROP": lambda self: self._parse_alter_table_drop(), + 650 "RENAME": lambda self: self._parse_alter_table_rename(), + 651 } + 652 + 653 SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"} + 654 + 655 NO_PAREN_FUNCTION_PARSERS = { + 656 TokenType.CASE: lambda self: self._parse_case(), + 657 TokenType.IF: lambda self: self._parse_if(), + 658 TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()), + 659 } + 660 + 661 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { + 662 "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST), + 663 "TRY_CONVERT": lambda self: self._parse_convert(False), + 664 "EXTRACT": lambda self: self._parse_extract(), + 665 "POSITION": lambda self: self._parse_position(), + 666 "SUBSTRING": lambda self: self._parse_substring(), + 667 "TRIM": lambda self: self._parse_trim(), + 668 "CAST": lambda self: self._parse_cast(self.STRICT_CAST), + 669 "TRY_CAST": lambda self: self._parse_cast(False), + 670 "STRING_AGG": lambda self: self._parse_string_agg(), + 671 } + 672 + 673 QUERY_MODIFIER_PARSERS = { + 674 "match": lambda self: self._parse_match_recognize(), + 675 "where": lambda self: self._parse_where(), + 676 "group": lambda self: self._parse_group(), + 677 "having": lambda self: self._parse_having(), + 678 "qualify": lambda self: self._parse_qualify(), + 679 "windows": lambda self: self._parse_window_clause(), + 680 "distribute": lambda self: self._parse_sort(TokenType.DISTRIBUTE_BY, exp.Distribute), + 681 "sort": lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), + 682 "cluster": lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), + 683 "order": lambda self: self._parse_order(), + 684 "limit": lambda self: self._parse_limit(), + 685 "offset": lambda self: self._parse_offset(), + 686 "lock": lambda self: self._parse_lock(), + 687 } + 688 + 689 SHOW_PARSERS: t.Dict[str, t.Callable] = {} + 690 SET_PARSERS: t.Dict[str, t.Callable] = {} 691 - 692 __slots__ = ( - 693 "error_level", - 694 "error_message_context", - 695 "sql", - 696 "errors", - 697 "index_offset", - 698 "unnest_column_only", - 699 "alias_post_tablesample", - 700 "max_errors", - 701 "null_ordering", - 702 "_tokens", - 703 "_index", - 704 "_curr", - 705 "_next", - 706 "_prev", - 707 "_prev_comments", - 708 "_show_trie", - 709 "_set_trie", - 710 ) - 711 - 712 def __init__( - 713 self, - 714 error_level: t.Optional[ErrorLevel] = None, - 715 error_message_context: int = 100, - 716 index_offset: int = 0, - 717 unnest_column_only: bool = False, - 718 alias_post_tablesample: bool = False, - 719 max_errors: int = 3, - 720 null_ordering: t.Optional[str] = None, - 721 ): - 722 self.error_level = error_level or ErrorLevel.IMMEDIATE - 723 self.error_message_context = error_message_context - 724 self.index_offset = index_offset - 725 self.unnest_column_only = unnest_column_only - 726 self.alias_post_tablesample = alias_post_tablesample - 727 self.max_errors = max_errors - 728 self.null_ordering = null_ordering - 729 self.reset() - 730 - 731 def reset(self): - 732 self.sql = "" - 733 self.errors = [] - 734 self._tokens = [] - 735 self._index = 0 - 736 self._curr = None - 737 self._next = None - 738 self._prev = None - 739 self._prev_comments = None - 740 - 741 def parse( - 742 self, raw_tokens: t.List[Token], sql: t.Optional[str] = None - 743 ) -> t.List[t.Optional[exp.Expression]]: - 744 """ - 745 Parses a list of tokens and returns a list of syntax trees, one tree - 746 per parsed SQL statement. - 747 - 748 Args: - 749 raw_tokens: the list of tokens. - 750 sql: the original SQL string, used to produce helpful debug messages. - 751 - 752 Returns: - 753 The list of syntax trees. - 754 """ - 755 return self._parse( - 756 parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql - 757 ) - 758 - 759 def parse_into( - 760 self, - 761 expression_types: exp.IntoType, - 762 raw_tokens: t.List[Token], - 763 sql: t.Optional[str] = None, - 764 ) -> t.List[t.Optional[exp.Expression]]: - 765 """ - 766 Parses a list of tokens into a given Expression type. If a collection of Expression - 767 types is given instead, this method will try to parse the token list into each one - 768 of them, stopping at the first for which the parsing succeeds. - 769 - 770 Args: - 771 expression_types: the expression type(s) to try and parse the token list into. - 772 raw_tokens: the list of tokens. - 773 sql: the original SQL string, used to produce helpful debug messages. - 774 - 775 Returns: - 776 The target Expression. - 777 """ - 778 errors = [] - 779 for expression_type in ensure_collection(expression_types): - 780 parser = self.EXPRESSION_PARSERS.get(expression_type) - 781 if not parser: - 782 raise TypeError(f"No parser registered for {expression_type}") - 783 try: - 784 return self._parse(parser, raw_tokens, sql) - 785 except ParseError as e: - 786 e.errors[0]["into_expression"] = expression_type - 787 errors.append(e) - 788 raise ParseError( - 789 f"Failed to parse into {expression_types}", - 790 errors=merge_errors(errors), - 791 ) from errors[-1] - 792 - 793 def _parse( - 794 self, - 795 parse_method: t.Callable[[Parser], t.Optional[exp.Expression]], - 796 raw_tokens: t.List[Token], - 797 sql: t.Optional[str] = None, - 798 ) -> t.List[t.Optional[exp.Expression]]: - 799 self.reset() - 800 self.sql = sql or "" - 801 total = len(raw_tokens) - 802 chunks: t.List[t.List[Token]] = [[]] - 803 - 804 for i, token in enumerate(raw_tokens): - 805 if token.token_type == TokenType.SEMICOLON: - 806 if i < total - 1: - 807 chunks.append([]) - 808 else: - 809 chunks[-1].append(token) - 810 - 811 expressions = [] - 812 - 813 for tokens in chunks: - 814 self._index = -1 - 815 self._tokens = tokens - 816 self._advance() - 817 - 818 expressions.append(parse_method(self)) - 819 - 820 if self._index < len(self._tokens): - 821 self.raise_error("Invalid expression / Unexpected token") + 692 MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table) + 693 + 694 TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"} + 695 + 696 INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"} + 697 + 698 WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS} + 699 + 700 ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY} + 701 + 702 STRICT_CAST = True + 703 + 704 __slots__ = ( + 705 "error_level", + 706 "error_message_context", + 707 "sql", + 708 "errors", + 709 "index_offset", + 710 "unnest_column_only", + 711 "alias_post_tablesample", + 712 "max_errors", + 713 "null_ordering", + 714 "_tokens", + 715 "_index", + 716 "_curr", + 717 "_next", + 718 "_prev", + 719 "_prev_comments", + 720 "_show_trie", + 721 "_set_trie", + 722 ) + 723 + 724 def __init__( + 725 self, + 726 error_level: t.Optional[ErrorLevel] = None, + 727 error_message_context: int = 100, + 728 index_offset: int = 0, + 729 unnest_column_only: bool = False, + 730 alias_post_tablesample: bool = False, + 731 max_errors: int = 3, + 732 null_ordering: t.Optional[str] = None, + 733 ): + 734 self.error_level = error_level or ErrorLevel.IMMEDIATE + 735 self.error_message_context = error_message_context + 736 self.index_offset = index_offset + 737 self.unnest_column_only = unnest_column_only + 738 self.alias_post_tablesample = alias_post_tablesample + 739 self.max_errors = max_errors + 740 self.null_ordering = null_ordering + 741 self.reset() + 742 + 743 def reset(self): + 744 self.sql = "" + 745 self.errors = [] + 746 self._tokens = [] + 747 self._index = 0 + 748 self._curr = None + 749 self._next = None + 750 self._prev = None + 751 self._prev_comments = None + 752 + 753 def parse( + 754 self, raw_tokens: t.List[Token], sql: t.Optional[str] = None + 755 ) -> t.List[t.Optional[exp.Expression]]: + 756 """ + 757 Parses a list of tokens and returns a list of syntax trees, one tree + 758 per parsed SQL statement. + 759 + 760 Args: + 761 raw_tokens: the list of tokens. + 762 sql: the original SQL string, used to produce helpful debug messages. + 763 + 764 Returns: + 765 The list of syntax trees. + 766 """ + 767 return self._parse( + 768 parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql + 769 ) + 770 + 771 def parse_into( + 772 self, + 773 expression_types: exp.IntoType, + 774 raw_tokens: t.List[Token], + 775 sql: t.Optional[str] = None, + 776 ) -> t.List[t.Optional[exp.Expression]]: + 777 """ + 778 Parses a list of tokens into a given Expression type. If a collection of Expression + 779 types is given instead, this method will try to parse the token list into each one + 780 of them, stopping at the first for which the parsing succeeds. + 781 + 782 Args: + 783 expression_types: the expression type(s) to try and parse the token list into. + 784 raw_tokens: the list of tokens. + 785 sql: the original SQL string, used to produce helpful debug messages. + 786 + 787 Returns: + 788 The target Expression. + 789 """ + 790 errors = [] + 791 for expression_type in ensure_collection(expression_types): + 792 parser = self.EXPRESSION_PARSERS.get(expression_type) + 793 if not parser: + 794 raise TypeError(f"No parser registered for {expression_type}") + 795 try: + 796 return self._parse(parser, raw_tokens, sql) + 797 except ParseError as e: + 798 e.errors[0]["into_expression"] = expression_type + 799 errors.append(e) + 800 raise ParseError( + 801 f"Failed to parse into {expression_types}", + 802 errors=merge_errors(errors), + 803 ) from errors[-1] + 804 + 805 def _parse( + 806 self, + 807 parse_method: t.Callable[[Parser], t.Optional[exp.Expression]], + 808 raw_tokens: t.List[Token], + 809 sql: t.Optional[str] = None, + 810 ) -> t.List[t.Optional[exp.Expression]]: + 811 self.reset() + 812 self.sql = sql or "" + 813 total = len(raw_tokens) + 814 chunks: t.List[t.List[Token]] = [[]] + 815 + 816 for i, token in enumerate(raw_tokens): + 817 if token.token_type == TokenType.SEMICOLON: + 818 if i < total - 1: + 819 chunks.append([]) + 820 else: + 821 chunks[-1].append(token) 822 - 823 self.check_errors() + 823 expressions = [] 824 - 825 return expressions - 826 - 827 def check_errors(self) -> None: - 828 """ - 829 Logs or raises any found errors, depending on the chosen error level setting. - 830 """ - 831 if self.error_level == ErrorLevel.WARN: - 832 for error in self.errors: - 833 logger.error(str(error)) - 834 elif self.error_level == ErrorLevel.RAISE and self.errors: - 835 raise ParseError( - 836 concat_messages(self.errors, self.max_errors), - 837 errors=merge_errors(self.errors), - 838 ) - 839 - 840 def raise_error(self, message: str, token: t.Optional[Token] = None) -> None: - 841 """ - 842 Appends an error in the list of recorded errors or raises it, depending on the chosen - 843 error level setting. - 844 """ - 845 token = token or self._curr or self._prev or Token.string("") - 846 start = self._find_token(token) - 847 end = start + len(token.text) - 848 start_context = self.sql[max(start - self.error_message_context, 0) : start] - 849 highlight = self.sql[start:end] - 850 end_context = self.sql[end : end + self.error_message_context] + 825 for tokens in chunks: + 826 self._index = -1 + 827 self._tokens = tokens + 828 self._advance() + 829 + 830 expressions.append(parse_method(self)) + 831 + 832 if self._index < len(self._tokens): + 833 self.raise_error("Invalid expression / Unexpected token") + 834 + 835 self.check_errors() + 836 + 837 return expressions + 838 + 839 def check_errors(self) -> None: + 840 """ + 841 Logs or raises any found errors, depending on the chosen error level setting. + 842 """ + 843 if self.error_level == ErrorLevel.WARN: + 844 for error in self.errors: + 845 logger.error(str(error)) + 846 elif self.error_level == ErrorLevel.RAISE and self.errors: + 847 raise ParseError( + 848 concat_messages(self.errors, self.max_errors), + 849 errors=merge_errors(self.errors), + 850 ) 851 - 852 error = ParseError.new( - 853 f"{message}. Line {token.line}, Col: {token.col}.\n" - 854 f" {start_context}\033[4m{highlight}\033[0m{end_context}", - 855 description=message, - 856 line=token.line, - 857 col=token.col, - 858 start_context=start_context, - 859 highlight=highlight, - 860 end_context=end_context, - 861 ) - 862 - 863 if self.error_level == ErrorLevel.IMMEDIATE: - 864 raise error - 865 - 866 self.errors.append(error) - 867 - 868 def expression( - 869 self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs - 870 ) -> exp.Expression: - 871 """ - 872 Creates a new, validated Expression. - 873 - 874 Args: - 875 exp_class: the expression class to instantiate. - 876 comments: an optional list of comments to attach to the expression. - 877 kwargs: the arguments to set for the expression along with their respective values. - 878 - 879 Returns: - 880 The target expression. - 881 """ - 882 instance = exp_class(**kwargs) - 883 if self._prev_comments: - 884 instance.comments = self._prev_comments - 885 self._prev_comments = None - 886 if comments: - 887 instance.comments = comments - 888 self.validate_expression(instance) - 889 return instance + 852 def raise_error(self, message: str, token: t.Optional[Token] = None) -> None: + 853 """ + 854 Appends an error in the list of recorded errors or raises it, depending on the chosen + 855 error level setting. + 856 """ + 857 token = token or self._curr or self._prev or Token.string("") + 858 start = self._find_token(token) + 859 end = start + len(token.text) + 860 start_context = self.sql[max(start - self.error_message_context, 0) : start] + 861 highlight = self.sql[start:end] + 862 end_context = self.sql[end : end + self.error_message_context] + 863 + 864 error = ParseError.new( + 865 f"{message}. Line {token.line}, Col: {token.col}.\n" + 866 f" {start_context}\033[4m{highlight}\033[0m{end_context}", + 867 description=message, + 868 line=token.line, + 869 col=token.col, + 870 start_context=start_context, + 871 highlight=highlight, + 872 end_context=end_context, + 873 ) + 874 + 875 if self.error_level == ErrorLevel.IMMEDIATE: + 876 raise error + 877 + 878 self.errors.append(error) + 879 + 880 def expression( + 881 self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs + 882 ) -> exp.Expression: + 883 """ + 884 Creates a new, validated Expression. + 885 + 886 Args: + 887 exp_class: the expression class to instantiate. + 888 comments: an optional list of comments to attach to the expression. + 889 kwargs: the arguments to set for the expression along with their respective values. 890 - 891 def validate_expression( - 892 self, expression: exp.Expression, args: t.Optional[t.List] = None - 893 ) -> None: - 894 """ - 895 Validates an already instantiated expression, making sure that all its mandatory arguments - 896 are set. - 897 - 898 Args: - 899 expression: the expression to validate. - 900 args: an optional list of items that was used to instantiate the expression, if it's a Func. - 901 """ - 902 if self.error_level == ErrorLevel.IGNORE: - 903 return - 904 - 905 for error_message in expression.error_messages(args): - 906 self.raise_error(error_message) - 907 - 908 def _find_sql(self, start: Token, end: Token) -> str: - 909 return self.sql[self._find_token(start) : self._find_token(end) + len(end.text)] - 910 - 911 def _find_token(self, token: Token) -> int: - 912 line = 1 - 913 col = 1 - 914 index = 0 - 915 - 916 while line < token.line or col < token.col: - 917 if Tokenizer.WHITE_SPACE.get(self.sql[index]) == TokenType.BREAK: - 918 line += 1 - 919 col = 1 - 920 else: - 921 col += 1 - 922 index += 1 - 923 - 924 return index - 925 - 926 def _advance(self, times: int = 1) -> None: - 927 self._index += times - 928 self._curr = seq_get(self._tokens, self._index) - 929 self._next = seq_get(self._tokens, self._index + 1) - 930 if self._index > 0: - 931 self._prev = self._tokens[self._index - 1] - 932 self._prev_comments = self._prev.comments - 933 else: - 934 self._prev = None - 935 self._prev_comments = None - 936 - 937 def _retreat(self, index: int) -> None: - 938 self._advance(index - self._index) - 939 - 940 def _parse_command(self) -> exp.Expression: - 941 return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string()) - 942 - 943 def _parse_statement(self) -> t.Optional[exp.Expression]: - 944 if self._curr is None: - 945 return None - 946 - 947 if self._match_set(self.STATEMENT_PARSERS): - 948 return self.STATEMENT_PARSERS[self._prev.token_type](self) - 949 - 950 if self._match_set(Tokenizer.COMMANDS): - 951 return self._parse_command() - 952 - 953 expression = self._parse_expression() - 954 expression = self._parse_set_operations(expression) if expression else self._parse_select() - 955 - 956 self._parse_query_modifiers(expression) - 957 return expression + 891 Returns: + 892 The target expression. + 893 """ + 894 instance = exp_class(**kwargs) + 895 if self._prev_comments: + 896 instance.comments = self._prev_comments + 897 self._prev_comments = None + 898 if comments: + 899 instance.comments = comments + 900 self.validate_expression(instance) + 901 return instance + 902 + 903 def validate_expression( + 904 self, expression: exp.Expression, args: t.Optional[t.List] = None + 905 ) -> None: + 906 """ + 907 Validates an already instantiated expression, making sure that all its mandatory arguments + 908 are set. + 909 + 910 Args: + 911 expression: the expression to validate. + 912 args: an optional list of items that was used to instantiate the expression, if it's a Func. + 913 """ + 914 if self.error_level == ErrorLevel.IGNORE: + 915 return + 916 + 917 for error_message in expression.error_messages(args): + 918 self.raise_error(error_message) + 919 + 920 def _find_sql(self, start: Token, end: Token) -> str: + 921 return self.sql[self._find_token(start) : self._find_token(end) + len(end.text)] + 922 + 923 def _find_token(self, token: Token) -> int: + 924 line = 1 + 925 col = 1 + 926 index = 0 + 927 + 928 while line < token.line or col < token.col: + 929 if Tokenizer.WHITE_SPACE.get(self.sql[index]) == TokenType.BREAK: + 930 line += 1 + 931 col = 1 + 932 else: + 933 col += 1 + 934 index += 1 + 935 + 936 return index + 937 + 938 def _advance(self, times: int = 1) -> None: + 939 self._index += times + 940 self._curr = seq_get(self._tokens, self._index) + 941 self._next = seq_get(self._tokens, self._index + 1) + 942 if self._index > 0: + 943 self._prev = self._tokens[self._index - 1] + 944 self._prev_comments = self._prev.comments + 945 else: + 946 self._prev = None + 947 self._prev_comments = None + 948 + 949 def _retreat(self, index: int) -> None: + 950 self._advance(index - self._index) + 951 + 952 def _parse_command(self) -> exp.Expression: + 953 return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string()) + 954 + 955 def _parse_comment(self, allow_exists: bool = True) -> exp.Expression: + 956 start = self._prev + 957 exists = self._parse_exists() if allow_exists else None 958 - 959 def _parse_drop(self, default_kind: t.Optional[str] = None) -> t.Optional[exp.Expression]: - 960 start = self._prev - 961 temporary = self._match(TokenType.TEMPORARY) - 962 materialized = self._match(TokenType.MATERIALIZED) - 963 kind = self._match_set(self.CREATABLES) and self._prev.text - 964 if not kind: - 965 if default_kind: - 966 kind = default_kind - 967 else: - 968 return self._parse_as_command(start) - 969 - 970 return self.expression( - 971 exp.Drop, - 972 exists=self._parse_exists(), - 973 this=self._parse_table(schema=True), - 974 kind=kind, - 975 temporary=temporary, - 976 materialized=materialized, - 977 cascade=self._match(TokenType.CASCADE), - 978 ) - 979 - 980 def _parse_exists(self, not_: bool = False) -> t.Optional[bool]: - 981 return ( - 982 self._match(TokenType.IF) - 983 and (not not_ or self._match(TokenType.NOT)) - 984 and self._match(TokenType.EXISTS) - 985 ) - 986 - 987 def _parse_create(self) -> t.Optional[exp.Expression]: - 988 start = self._prev - 989 replace = self._prev.text.upper() == "REPLACE" or self._match_pair( - 990 TokenType.OR, TokenType.REPLACE - 991 ) - 992 unique = self._match(TokenType.UNIQUE) + 959 self._match(TokenType.ON) + 960 + 961 kind = self._match_set(self.CREATABLES) and self._prev + 962 + 963 if not kind: + 964 return self._parse_as_command(start) + 965 + 966 if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): + 967 this = self._parse_user_defined_function(kind=kind.token_type) + 968 elif kind.token_type == TokenType.TABLE: + 969 this = self._parse_table() + 970 elif kind.token_type == TokenType.COLUMN: + 971 this = self._parse_column() + 972 else: + 973 this = self._parse_id_var() + 974 + 975 self._match(TokenType.IS) + 976 + 977 return self.expression( + 978 exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists + 979 ) + 980 + 981 def _parse_statement(self) -> t.Optional[exp.Expression]: + 982 if self._curr is None: + 983 return None + 984 + 985 if self._match_set(self.STATEMENT_PARSERS): + 986 return self.STATEMENT_PARSERS[self._prev.token_type](self) + 987 + 988 if self._match_set(Tokenizer.COMMANDS): + 989 return self._parse_command() + 990 + 991 expression = self._parse_expression() + 992 expression = self._parse_set_operations(expression) if expression else self._parse_select() 993 - 994 if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False): - 995 self._match(TokenType.TABLE) + 994 self._parse_query_modifiers(expression) + 995 return expression 996 - 997 properties = None - 998 create_token = self._match_set(self.CREATABLES) and self._prev - 999 -1000 if not create_token: -1001 properties = self._parse_properties() # exp.Properties.Location.POST_CREATE -1002 create_token = self._match_set(self.CREATABLES) and self._prev -1003 -1004 if not properties or not create_token: -1005 return self._parse_as_command(start) -1006 -1007 exists = self._parse_exists(not_=True) -1008 this = None -1009 expression = None -1010 indexes = None -1011 no_schema_binding = None -1012 begin = None -1013 -1014 if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): -1015 this = self._parse_user_defined_function(kind=create_token.token_type) -1016 temp_properties = self._parse_properties() -1017 if properties and temp_properties: -1018 properties.expressions.extend(temp_properties.expressions) -1019 elif temp_properties: -1020 properties = temp_properties -1021 -1022 self._match(TokenType.ALIAS) -1023 begin = self._match(TokenType.BEGIN) -1024 return_ = self._match_text_seq("RETURN") -1025 expression = self._parse_statement() -1026 -1027 if return_: -1028 expression = self.expression(exp.Return, this=expression) -1029 elif create_token.token_type == TokenType.INDEX: -1030 this = self._parse_index() -1031 elif create_token.token_type in ( -1032 TokenType.TABLE, -1033 TokenType.VIEW, -1034 TokenType.SCHEMA, -1035 ): -1036 table_parts = self._parse_table_parts(schema=True) -1037 -1038 # exp.Properties.Location.POST_NAME -1039 if self._match(TokenType.COMMA): -1040 temp_properties = self._parse_properties(before=True) -1041 if properties and temp_properties: -1042 properties.expressions.extend(temp_properties.expressions) -1043 elif temp_properties: -1044 properties = temp_properties + 997 def _parse_drop(self, default_kind: t.Optional[str] = None) -> t.Optional[exp.Expression]: + 998 start = self._prev + 999 temporary = self._match(TokenType.TEMPORARY) +1000 materialized = self._match(TokenType.MATERIALIZED) +1001 kind = self._match_set(self.CREATABLES) and self._prev.text +1002 if not kind: +1003 if default_kind: +1004 kind = default_kind +1005 else: +1006 return self._parse_as_command(start) +1007 +1008 return self.expression( +1009 exp.Drop, +1010 exists=self._parse_exists(), +1011 this=self._parse_table(schema=True), +1012 kind=kind, +1013 temporary=temporary, +1014 materialized=materialized, +1015 cascade=self._match(TokenType.CASCADE), +1016 ) +1017 +1018 def _parse_exists(self, not_: bool = False) -> t.Optional[bool]: +1019 return ( +1020 self._match(TokenType.IF) +1021 and (not not_ or self._match(TokenType.NOT)) +1022 and self._match(TokenType.EXISTS) +1023 ) +1024 +1025 def _parse_create(self) -> t.Optional[exp.Expression]: +1026 start = self._prev +1027 replace = self._prev.text.upper() == "REPLACE" or self._match_pair( +1028 TokenType.OR, TokenType.REPLACE +1029 ) +1030 unique = self._match(TokenType.UNIQUE) +1031 volatile = self._match(TokenType.VOLATILE) +1032 +1033 if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False): +1034 self._match(TokenType.TABLE) +1035 +1036 properties = None +1037 create_token = self._match_set(self.CREATABLES) and self._prev +1038 +1039 if not create_token: +1040 properties = self._parse_properties() # exp.Properties.Location.POST_CREATE +1041 create_token = self._match_set(self.CREATABLES) and self._prev +1042 +1043 if not properties or not create_token: +1044 return self._parse_as_command(start) 1045 -1046 this = self._parse_schema(this=table_parts) -1047 -1048 # exp.Properties.Location.POST_SCHEMA and POST_WITH -1049 temp_properties = self._parse_properties() -1050 if properties and temp_properties: -1051 properties.expressions.extend(temp_properties.expressions) -1052 elif temp_properties: -1053 properties = temp_properties -1054 -1055 self._match(TokenType.ALIAS) -1056 -1057 # exp.Properties.Location.POST_ALIAS -1058 if not ( -1059 self._match(TokenType.SELECT, advance=False) -1060 or self._match(TokenType.WITH, advance=False) -1061 or self._match(TokenType.L_PAREN, advance=False) -1062 ): -1063 temp_properties = self._parse_properties() -1064 if properties and temp_properties: -1065 properties.expressions.extend(temp_properties.expressions) -1066 elif temp_properties: -1067 properties = temp_properties -1068 -1069 expression = self._parse_ddl_select() -1070 -1071 if create_token.token_type == TokenType.TABLE: -1072 # exp.Properties.Location.POST_EXPRESSION -1073 temp_properties = self._parse_properties() -1074 if properties and temp_properties: -1075 properties.expressions.extend(temp_properties.expressions) -1076 elif temp_properties: -1077 properties = temp_properties -1078 -1079 indexes = [] -1080 while True: -1081 index = self._parse_create_table_index() +1046 exists = self._parse_exists(not_=True) +1047 this = None +1048 expression = None +1049 indexes = None +1050 no_schema_binding = None +1051 begin = None +1052 +1053 if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): +1054 this = self._parse_user_defined_function(kind=create_token.token_type) +1055 temp_properties = self._parse_properties() +1056 if properties and temp_properties: +1057 properties.expressions.extend(temp_properties.expressions) +1058 elif temp_properties: +1059 properties = temp_properties +1060 +1061 self._match(TokenType.ALIAS) +1062 begin = self._match(TokenType.BEGIN) +1063 return_ = self._match_text_seq("RETURN") +1064 expression = self._parse_statement() +1065 +1066 if return_: +1067 expression = self.expression(exp.Return, this=expression) +1068 elif create_token.token_type == TokenType.INDEX: +1069 this = self._parse_index() +1070 elif create_token.token_type in self.DB_CREATABLES: +1071 table_parts = self._parse_table_parts(schema=True) +1072 +1073 # exp.Properties.Location.POST_NAME +1074 if self._match(TokenType.COMMA): +1075 temp_properties = self._parse_properties(before=True) +1076 if properties and temp_properties: +1077 properties.expressions.extend(temp_properties.expressions) +1078 elif temp_properties: +1079 properties = temp_properties +1080 +1081 this = self._parse_schema(this=table_parts) 1082 -1083 # exp.Properties.Location.POST_INDEX -1084 if self._match(TokenType.PARTITION_BY, advance=False): -1085 temp_properties = self._parse_properties() -1086 if properties and temp_properties: -1087 properties.expressions.extend(temp_properties.expressions) -1088 elif temp_properties: -1089 properties = temp_properties -1090 -1091 if not index: -1092 break -1093 else: -1094 indexes.append(index) -1095 elif create_token.token_type == TokenType.VIEW: -1096 if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"): -1097 no_schema_binding = True -1098 -1099 return self.expression( -1100 exp.Create, -1101 this=this, -1102 kind=create_token.text, -1103 unique=unique, -1104 expression=expression, -1105 exists=exists, -1106 properties=properties, -1107 replace=replace, -1108 indexes=indexes, -1109 no_schema_binding=no_schema_binding, -1110 begin=begin, -1111 ) -1112 -1113 def _parse_property_before(self) -> t.Optional[exp.Expression]: -1114 self._match(TokenType.COMMA) -1115 -1116 # parsers look to _prev for no/dual/default, so need to consume first -1117 self._match_text_seq("NO") -1118 self._match_text_seq("DUAL") -1119 self._match_text_seq("DEFAULT") -1120 -1121 if self.PROPERTY_PARSERS.get(self._curr.text.upper()): -1122 return self.PROPERTY_PARSERS[self._curr.text.upper()](self) -1123 -1124 return None +1083 # exp.Properties.Location.POST_SCHEMA and POST_WITH +1084 temp_properties = self._parse_properties() +1085 if properties and temp_properties: +1086 properties.expressions.extend(temp_properties.expressions) +1087 elif temp_properties: +1088 properties = temp_properties +1089 +1090 self._match(TokenType.ALIAS) +1091 +1092 # exp.Properties.Location.POST_ALIAS +1093 if not ( +1094 self._match(TokenType.SELECT, advance=False) +1095 or self._match(TokenType.WITH, advance=False) +1096 or self._match(TokenType.L_PAREN, advance=False) +1097 ): +1098 temp_properties = self._parse_properties() +1099 if properties and temp_properties: +1100 properties.expressions.extend(temp_properties.expressions) +1101 elif temp_properties: +1102 properties = temp_properties +1103 +1104 expression = self._parse_ddl_select() +1105 +1106 if create_token.token_type == TokenType.TABLE: +1107 # exp.Properties.Location.POST_EXPRESSION +1108 temp_properties = self._parse_properties() +1109 if properties and temp_properties: +1110 properties.expressions.extend(temp_properties.expressions) +1111 elif temp_properties: +1112 properties = temp_properties +1113 +1114 indexes = [] +1115 while True: +1116 index = self._parse_create_table_index() +1117 +1118 # exp.Properties.Location.POST_INDEX +1119 if self._match(TokenType.PARTITION_BY, advance=False): +1120 temp_properties = self._parse_properties() +1121 if properties and temp_properties: +1122 properties.expressions.extend(temp_properties.expressions) +1123 elif temp_properties: +1124 properties = temp_properties 1125 -1126 def _parse_property(self) -> t.Optional[exp.Expression]: -1127 if self._match_texts(self.PROPERTY_PARSERS): -1128 return self.PROPERTY_PARSERS[self._prev.text.upper()](self) -1129 -1130 if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET): -1131 return self._parse_character_set(default=True) -1132 -1133 if self._match_pair(TokenType.COMPOUND, TokenType.SORTKEY): -1134 return self._parse_sortkey(compound=True) -1135 -1136 if self._match_text_seq("SQL", "SECURITY"): -1137 return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER")) -1138 -1139 assignment = self._match_pair( -1140 TokenType.VAR, TokenType.EQ, advance=False -1141 ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False) -1142 -1143 if assignment: -1144 key = self._parse_var_or_string() -1145 self._match(TokenType.EQ) -1146 return self.expression(exp.Property, this=key, value=self._parse_column()) -1147 -1148 return None -1149 -1150 def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression: -1151 self._match(TokenType.EQ) -1152 self._match(TokenType.ALIAS) -1153 return self.expression( -1154 exp_class, -1155 this=self._parse_var_or_string() or self._parse_number() or self._parse_id_var(), -1156 ) -1157 -1158 def _parse_properties(self, before=None) -> t.Optional[exp.Expression]: -1159 properties = [] -1160 -1161 while True: -1162 if before: -1163 identified_property = self._parse_property_before() -1164 else: -1165 identified_property = self._parse_property() -1166 -1167 if not identified_property: -1168 break -1169 for p in ensure_collection(identified_property): -1170 properties.append(p) +1126 if not index: +1127 break +1128 else: +1129 indexes.append(index) +1130 elif create_token.token_type == TokenType.VIEW: +1131 if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"): +1132 no_schema_binding = True +1133 +1134 return self.expression( +1135 exp.Create, +1136 this=this, +1137 kind=create_token.text, +1138 replace=replace, +1139 unique=unique, +1140 volatile=volatile, +1141 expression=expression, +1142 exists=exists, +1143 properties=properties, +1144 indexes=indexes, +1145 no_schema_binding=no_schema_binding, +1146 begin=begin, +1147 ) +1148 +1149 def _parse_property_before(self) -> t.Optional[exp.Expression]: +1150 self._match(TokenType.COMMA) +1151 +1152 # parsers look to _prev for no/dual/default, so need to consume first +1153 self._match_text_seq("NO") +1154 self._match_text_seq("DUAL") +1155 self._match_text_seq("DEFAULT") +1156 +1157 if self.PROPERTY_PARSERS.get(self._curr.text.upper()): +1158 return self.PROPERTY_PARSERS[self._curr.text.upper()](self) +1159 +1160 return None +1161 +1162 def _parse_property(self) -> t.Optional[exp.Expression]: +1163 if self._match_texts(self.PROPERTY_PARSERS): +1164 return self.PROPERTY_PARSERS[self._prev.text.upper()](self) +1165 +1166 if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET): +1167 return self._parse_character_set(default=True) +1168 +1169 if self._match_pair(TokenType.COMPOUND, TokenType.SORTKEY): +1170 return self._parse_sortkey(compound=True) 1171 -1172 if properties: -1173 return self.expression(exp.Properties, expressions=properties) +1172 if self._match_text_seq("SQL", "SECURITY"): +1173 return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER")) 1174 -1175 return None -1176 -1177 def _parse_fallback(self, no=False) -> exp.Expression: -1178 self._match_text_seq("FALLBACK") -1179 return self.expression( -1180 exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION") -1181 ) -1182 -1183 def _parse_with_property( -1184 self, -1185 ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]: -1186 self._match(TokenType.WITH) -1187 if self._match(TokenType.L_PAREN, advance=False): -1188 return self._parse_wrapped_csv(self._parse_property) -1189 -1190 if self._match_text_seq("JOURNAL"): -1191 return self._parse_withjournaltable() -1192 -1193 if self._match_text_seq("DATA"): -1194 return self._parse_withdata(no=False) -1195 elif self._match_text_seq("NO", "DATA"): -1196 return self._parse_withdata(no=True) -1197 -1198 if not self._next: -1199 return None -1200 -1201 return self._parse_withisolatedloading() +1175 assignment = self._match_pair( +1176 TokenType.VAR, TokenType.EQ, advance=False +1177 ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False) +1178 +1179 if assignment: +1180 key = self._parse_var_or_string() +1181 self._match(TokenType.EQ) +1182 return self.expression(exp.Property, this=key, value=self._parse_column()) +1183 +1184 return None +1185 +1186 def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression: +1187 self._match(TokenType.EQ) +1188 self._match(TokenType.ALIAS) +1189 return self.expression( +1190 exp_class, +1191 this=self._parse_var_or_string() or self._parse_number() or self._parse_id_var(), +1192 ) +1193 +1194 def _parse_properties(self, before=None) -> t.Optional[exp.Expression]: +1195 properties = [] +1196 +1197 while True: +1198 if before: +1199 identified_property = self._parse_property_before() +1200 else: +1201 identified_property = self._parse_property() 1202 -1203 # https://dev.mysql.com/doc/refman/8.0/en/create-view.html -1204 def _parse_definer(self) -> t.Optional[exp.Expression]: -1205 self._match(TokenType.EQ) -1206 -1207 user = self._parse_id_var() -1208 self._match(TokenType.PARAMETER) -1209 host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text) +1203 if not identified_property: +1204 break +1205 for p in ensure_collection(identified_property): +1206 properties.append(p) +1207 +1208 if properties: +1209 return self.expression(exp.Properties, expressions=properties) 1210 -1211 if not user or not host: -1212 return None -1213 -1214 return exp.DefinerProperty(this=f"{user}@{host}") -1215 -1216 def _parse_withjournaltable(self) -> exp.Expression: -1217 self._match(TokenType.TABLE) -1218 self._match(TokenType.EQ) -1219 return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts()) -1220 -1221 def _parse_log(self, no=False) -> exp.Expression: -1222 self._match_text_seq("LOG") -1223 return self.expression(exp.LogProperty, no=no) -1224 -1225 def _parse_journal(self, no=False, dual=False) -> exp.Expression: -1226 before = self._match_text_seq("BEFORE") -1227 self._match_text_seq("JOURNAL") -1228 return self.expression(exp.JournalProperty, no=no, dual=dual, before=before) -1229 -1230 def _parse_afterjournal(self, no=False, dual=False, local=None) -> exp.Expression: -1231 self._match_text_seq("NOT") -1232 self._match_text_seq("LOCAL") -1233 self._match_text_seq("AFTER", "JOURNAL") -1234 return self.expression(exp.AfterJournalProperty, no=no, dual=dual, local=local) -1235 -1236 def _parse_checksum(self) -> exp.Expression: -1237 self._match_text_seq("CHECKSUM") -1238 self._match(TokenType.EQ) -1239 -1240 on = None -1241 if self._match(TokenType.ON): -1242 on = True -1243 elif self._match_text_seq("OFF"): -1244 on = False -1245 default = self._match(TokenType.DEFAULT) +1211 return None +1212 +1213 def _parse_fallback(self, no=False) -> exp.Expression: +1214 self._match_text_seq("FALLBACK") +1215 return self.expression( +1216 exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION") +1217 ) +1218 +1219 def _parse_with_property( +1220 self, +1221 ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]: +1222 self._match(TokenType.WITH) +1223 if self._match(TokenType.L_PAREN, advance=False): +1224 return self._parse_wrapped_csv(self._parse_property) +1225 +1226 if self._match_text_seq("JOURNAL"): +1227 return self._parse_withjournaltable() +1228 +1229 if self._match_text_seq("DATA"): +1230 return self._parse_withdata(no=False) +1231 elif self._match_text_seq("NO", "DATA"): +1232 return self._parse_withdata(no=True) +1233 +1234 if not self._next: +1235 return None +1236 +1237 return self._parse_withisolatedloading() +1238 +1239 # https://dev.mysql.com/doc/refman/8.0/en/create-view.html +1240 def _parse_definer(self) -> t.Optional[exp.Expression]: +1241 self._match(TokenType.EQ) +1242 +1243 user = self._parse_id_var() +1244 self._match(TokenType.PARAMETER) +1245 host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text) 1246 -1247 return self.expression( -1248 exp.ChecksumProperty, -1249 on=on, -1250 default=default, -1251 ) -1252 -1253 def _parse_freespace(self) -> exp.Expression: -1254 self._match_text_seq("FREESPACE") -1255 self._match(TokenType.EQ) -1256 return self.expression( -1257 exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT) -1258 ) -1259 -1260 def _parse_mergeblockratio(self, no=False, default=False) -> exp.Expression: -1261 self._match_text_seq("MERGEBLOCKRATIO") -1262 if self._match(TokenType.EQ): -1263 return self.expression( -1264 exp.MergeBlockRatioProperty, -1265 this=self._parse_number(), -1266 percent=self._match(TokenType.PERCENT), -1267 ) -1268 else: -1269 return self.expression( -1270 exp.MergeBlockRatioProperty, -1271 no=no, -1272 default=default, -1273 ) -1274 -1275 def _parse_datablocksize(self, default=None) -> exp.Expression: -1276 if default: -1277 self._match_text_seq("DATABLOCKSIZE") -1278 return self.expression(exp.DataBlocksizeProperty, default=True) -1279 elif self._match_texts(("MIN", "MINIMUM")): -1280 self._match_text_seq("DATABLOCKSIZE") -1281 return self.expression(exp.DataBlocksizeProperty, min=True) -1282 elif self._match_texts(("MAX", "MAXIMUM")): -1283 self._match_text_seq("DATABLOCKSIZE") -1284 return self.expression(exp.DataBlocksizeProperty, min=False) -1285 -1286 self._match_text_seq("DATABLOCKSIZE") -1287 self._match(TokenType.EQ) -1288 size = self._parse_number() -1289 units = None -1290 if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")): -1291 units = self._prev.text -1292 return self.expression(exp.DataBlocksizeProperty, size=size, units=units) -1293 -1294 def _parse_blockcompression(self) -> exp.Expression: -1295 self._match_text_seq("BLOCKCOMPRESSION") -1296 self._match(TokenType.EQ) -1297 always = self._match_text_seq("ALWAYS") -1298 manual = self._match_text_seq("MANUAL") -1299 never = self._match_text_seq("NEVER") -1300 default = self._match_text_seq("DEFAULT") -1301 autotemp = None -1302 if self._match_text_seq("AUTOTEMP"): -1303 autotemp = self._parse_schema() -1304 -1305 return self.expression( -1306 exp.BlockCompressionProperty, -1307 always=always, -1308 manual=manual, -1309 never=never, -1310 default=default, -1311 autotemp=autotemp, -1312 ) -1313 -1314 def _parse_withisolatedloading(self) -> exp.Expression: -1315 no = self._match_text_seq("NO") -1316 concurrent = self._match_text_seq("CONCURRENT") -1317 self._match_text_seq("ISOLATED", "LOADING") -1318 for_all = self._match_text_seq("FOR", "ALL") -1319 for_insert = self._match_text_seq("FOR", "INSERT") -1320 for_none = self._match_text_seq("FOR", "NONE") -1321 return self.expression( -1322 exp.IsolatedLoadingProperty, -1323 no=no, -1324 concurrent=concurrent, -1325 for_all=for_all, -1326 for_insert=for_insert, -1327 for_none=for_none, -1328 ) +1247 if not user or not host: +1248 return None +1249 +1250 return exp.DefinerProperty(this=f"{user}@{host}") +1251 +1252 def _parse_withjournaltable(self) -> exp.Expression: +1253 self._match(TokenType.TABLE) +1254 self._match(TokenType.EQ) +1255 return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts()) +1256 +1257 def _parse_log(self, no=False) -> exp.Expression: +1258 self._match_text_seq("LOG") +1259 return self.expression(exp.LogProperty, no=no) +1260 +1261 def _parse_journal(self, no=False, dual=False) -> exp.Expression: +1262 before = self._match_text_seq("BEFORE") +1263 self._match_text_seq("JOURNAL") +1264 return self.expression(exp.JournalProperty, no=no, dual=dual, before=before) +1265 +1266 def _parse_afterjournal(self, no=False, dual=False, local=None) -> exp.Expression: +1267 self._match_text_seq("NOT") +1268 self._match_text_seq("LOCAL") +1269 self._match_text_seq("AFTER", "JOURNAL") +1270 return self.expression(exp.AfterJournalProperty, no=no, dual=dual, local=local) +1271 +1272 def _parse_checksum(self) -> exp.Expression: +1273 self._match_text_seq("CHECKSUM") +1274 self._match(TokenType.EQ) +1275 +1276 on = None +1277 if self._match(TokenType.ON): +1278 on = True +1279 elif self._match_text_seq("OFF"): +1280 on = False +1281 default = self._match(TokenType.DEFAULT) +1282 +1283 return self.expression( +1284 exp.ChecksumProperty, +1285 on=on, +1286 default=default, +1287 ) +1288 +1289 def _parse_freespace(self) -> exp.Expression: +1290 self._match_text_seq("FREESPACE") +1291 self._match(TokenType.EQ) +1292 return self.expression( +1293 exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT) +1294 ) +1295 +1296 def _parse_mergeblockratio(self, no=False, default=False) -> exp.Expression: +1297 self._match_text_seq("MERGEBLOCKRATIO") +1298 if self._match(TokenType.EQ): +1299 return self.expression( +1300 exp.MergeBlockRatioProperty, +1301 this=self._parse_number(), +1302 percent=self._match(TokenType.PERCENT), +1303 ) +1304 else: +1305 return self.expression( +1306 exp.MergeBlockRatioProperty, +1307 no=no, +1308 default=default, +1309 ) +1310 +1311 def _parse_datablocksize(self, default=None) -> exp.Expression: +1312 if default: +1313 self._match_text_seq("DATABLOCKSIZE") +1314 return self.expression(exp.DataBlocksizeProperty, default=True) +1315 elif self._match_texts(("MIN", "MINIMUM")): +1316 self._match_text_seq("DATABLOCKSIZE") +1317 return self.expression(exp.DataBlocksizeProperty, min=True) +1318 elif self._match_texts(("MAX", "MAXIMUM")): +1319 self._match_text_seq("DATABLOCKSIZE") +1320 return self.expression(exp.DataBlocksizeProperty, min=False) +1321 +1322 self._match_text_seq("DATABLOCKSIZE") +1323 self._match(TokenType.EQ) +1324 size = self._parse_number() +1325 units = None +1326 if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")): +1327 units = self._prev.text +1328 return self.expression(exp.DataBlocksizeProperty, size=size, units=units) 1329 -1330 def _parse_locking(self) -> exp.Expression: -1331 if self._match(TokenType.TABLE): -1332 kind = "TABLE" -1333 elif self._match(TokenType.VIEW): -1334 kind = "VIEW" -1335 elif self._match(TokenType.ROW): -1336 kind = "ROW" -1337 elif self._match_text_seq("DATABASE"): -1338 kind = "DATABASE" -1339 else: -1340 kind = None -1341 -1342 if kind in ("DATABASE", "TABLE", "VIEW"): -1343 this = self._parse_table_parts() -1344 else: -1345 this = None -1346 -1347 if self._match(TokenType.FOR): -1348 for_or_in = "FOR" -1349 elif self._match(TokenType.IN): -1350 for_or_in = "IN" -1351 else: -1352 for_or_in = None -1353 -1354 if self._match_text_seq("ACCESS"): -1355 lock_type = "ACCESS" -1356 elif self._match_texts(("EXCL", "EXCLUSIVE")): -1357 lock_type = "EXCLUSIVE" -1358 elif self._match_text_seq("SHARE"): -1359 lock_type = "SHARE" -1360 elif self._match_text_seq("READ"): -1361 lock_type = "READ" -1362 elif self._match_text_seq("WRITE"): -1363 lock_type = "WRITE" -1364 elif self._match_text_seq("CHECKSUM"): -1365 lock_type = "CHECKSUM" -1366 else: -1367 lock_type = None -1368 -1369 override = self._match_text_seq("OVERRIDE") -1370 -1371 return self.expression( -1372 exp.LockingProperty, -1373 this=this, -1374 kind=kind, -1375 for_or_in=for_or_in, -1376 lock_type=lock_type, -1377 override=override, -1378 ) -1379 -1380 def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]: -1381 if self._match(TokenType.PARTITION_BY): -1382 return self._parse_csv(self._parse_conjunction) -1383 return [] -1384 -1385 def _parse_partitioned_by(self) -> exp.Expression: -1386 self._match(TokenType.EQ) -1387 return self.expression( -1388 exp.PartitionedByProperty, -1389 this=self._parse_schema() or self._parse_bracket(self._parse_field()), -1390 ) -1391 -1392 def _parse_withdata(self, no=False) -> exp.Expression: -1393 if self._match_text_seq("AND", "STATISTICS"): -1394 statistics = True -1395 elif self._match_text_seq("AND", "NO", "STATISTICS"): -1396 statistics = False -1397 else: -1398 statistics = None -1399 -1400 return self.expression(exp.WithDataProperty, no=no, statistics=statistics) -1401 -1402 def _parse_noprimaryindex(self) -> exp.Expression: -1403 self._match_text_seq("PRIMARY", "INDEX") -1404 return exp.NoPrimaryIndexProperty() -1405 -1406 def _parse_oncommit(self) -> exp.Expression: -1407 self._match_text_seq("COMMIT", "PRESERVE", "ROWS") -1408 return exp.OnCommitProperty() -1409 -1410 def _parse_distkey(self) -> exp.Expression: -1411 return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var)) -1412 -1413 def _parse_create_like(self) -> t.Optional[exp.Expression]: -1414 table = self._parse_table(schema=True) -1415 options = [] -1416 while self._match_texts(("INCLUDING", "EXCLUDING")): -1417 this = self._prev.text.upper() -1418 id_var = self._parse_id_var() -1419 -1420 if not id_var: -1421 return None -1422 -1423 options.append( -1424 self.expression( -1425 exp.Property, -1426 this=this, -1427 value=exp.Var(this=id_var.this.upper()), -1428 ) -1429 ) -1430 return self.expression(exp.LikeProperty, this=table, expressions=options) -1431 -1432 def _parse_sortkey(self, compound: bool = False) -> exp.Expression: -1433 return self.expression( -1434 exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound -1435 ) -1436 -1437 def _parse_character_set(self, default: bool = False) -> exp.Expression: -1438 self._match(TokenType.EQ) -1439 return self.expression( -1440 exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default -1441 ) -1442 -1443 def _parse_returns(self) -> exp.Expression: -1444 value: t.Optional[exp.Expression] -1445 is_table = self._match(TokenType.TABLE) -1446 -1447 if is_table: -1448 if self._match(TokenType.LT): -1449 value = self.expression( -1450 exp.Schema, -1451 this="TABLE", -1452 expressions=self._parse_csv(self._parse_struct_kwargs), -1453 ) -1454 if not self._match(TokenType.GT): -1455 self.raise_error("Expecting >") -1456 else: -1457 value = self._parse_schema(exp.Var(this="TABLE")) -1458 else: -1459 value = self._parse_types() -1460 -1461 return self.expression(exp.ReturnsProperty, this=value, is_table=is_table) -1462 -1463 def _parse_temporary(self, global_=False) -> exp.Expression: -1464 self._match(TokenType.TEMPORARY) # in case calling from "GLOBAL" -1465 return self.expression(exp.TemporaryProperty, global_=global_) -1466 -1467 def _parse_describe(self) -> exp.Expression: -1468 kind = self._match_set(self.CREATABLES) and self._prev.text -1469 this = self._parse_table() -1470 -1471 return self.expression(exp.Describe, this=this, kind=kind) +1330 def _parse_blockcompression(self) -> exp.Expression: +1331 self._match_text_seq("BLOCKCOMPRESSION") +1332 self._match(TokenType.EQ) +1333 always = self._match_text_seq("ALWAYS") +1334 manual = self._match_text_seq("MANUAL") +1335 never = self._match_text_seq("NEVER") +1336 default = self._match_text_seq("DEFAULT") +1337 autotemp = None +1338 if self._match_text_seq("AUTOTEMP"): +1339 autotemp = self._parse_schema() +1340 +1341 return self.expression( +1342 exp.BlockCompressionProperty, +1343 always=always, +1344 manual=manual, +1345 never=never, +1346 default=default, +1347 autotemp=autotemp, +1348 ) +1349 +1350 def _parse_withisolatedloading(self) -> exp.Expression: +1351 no = self._match_text_seq("NO") +1352 concurrent = self._match_text_seq("CONCURRENT") +1353 self._match_text_seq("ISOLATED", "LOADING") +1354 for_all = self._match_text_seq("FOR", "ALL") +1355 for_insert = self._match_text_seq("FOR", "INSERT") +1356 for_none = self._match_text_seq("FOR", "NONE") +1357 return self.expression( +1358 exp.IsolatedLoadingProperty, +1359 no=no, +1360 concurrent=concurrent, +1361 for_all=for_all, +1362 for_insert=for_insert, +1363 for_none=for_none, +1364 ) +1365 +1366 def _parse_locking(self) -> exp.Expression: +1367 if self._match(TokenType.TABLE): +1368 kind = "TABLE" +1369 elif self._match(TokenType.VIEW): +1370 kind = "VIEW" +1371 elif self._match(TokenType.ROW): +1372 kind = "ROW" +1373 elif self._match_text_seq("DATABASE"): +1374 kind = "DATABASE" +1375 else: +1376 kind = None +1377 +1378 if kind in ("DATABASE", "TABLE", "VIEW"): +1379 this = self._parse_table_parts() +1380 else: +1381 this = None +1382 +1383 if self._match(TokenType.FOR): +1384 for_or_in = "FOR" +1385 elif self._match(TokenType.IN): +1386 for_or_in = "IN" +1387 else: +1388 for_or_in = None +1389 +1390 if self._match_text_seq("ACCESS"): +1391 lock_type = "ACCESS" +1392 elif self._match_texts(("EXCL", "EXCLUSIVE")): +1393 lock_type = "EXCLUSIVE" +1394 elif self._match_text_seq("SHARE"): +1395 lock_type = "SHARE" +1396 elif self._match_text_seq("READ"): +1397 lock_type = "READ" +1398 elif self._match_text_seq("WRITE"): +1399 lock_type = "WRITE" +1400 elif self._match_text_seq("CHECKSUM"): +1401 lock_type = "CHECKSUM" +1402 else: +1403 lock_type = None +1404 +1405 override = self._match_text_seq("OVERRIDE") +1406 +1407 return self.expression( +1408 exp.LockingProperty, +1409 this=this, +1410 kind=kind, +1411 for_or_in=for_or_in, +1412 lock_type=lock_type, +1413 override=override, +1414 ) +1415 +1416 def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]: +1417 if self._match(TokenType.PARTITION_BY): +1418 return self._parse_csv(self._parse_conjunction) +1419 return [] +1420 +1421 def _parse_partitioned_by(self) -> exp.Expression: +1422 self._match(TokenType.EQ) +1423 return self.expression( +1424 exp.PartitionedByProperty, +1425 this=self._parse_schema() or self._parse_bracket(self._parse_field()), +1426 ) +1427 +1428 def _parse_withdata(self, no=False) -> exp.Expression: +1429 if self._match_text_seq("AND", "STATISTICS"): +1430 statistics = True +1431 elif self._match_text_seq("AND", "NO", "STATISTICS"): +1432 statistics = False +1433 else: +1434 statistics = None +1435 +1436 return self.expression(exp.WithDataProperty, no=no, statistics=statistics) +1437 +1438 def _parse_noprimaryindex(self) -> exp.Expression: +1439 self._match_text_seq("PRIMARY", "INDEX") +1440 return exp.NoPrimaryIndexProperty() +1441 +1442 def _parse_oncommit(self) -> exp.Expression: +1443 self._match_text_seq("COMMIT", "PRESERVE", "ROWS") +1444 return exp.OnCommitProperty() +1445 +1446 def _parse_distkey(self) -> exp.Expression: +1447 return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var)) +1448 +1449 def _parse_create_like(self) -> t.Optional[exp.Expression]: +1450 table = self._parse_table(schema=True) +1451 options = [] +1452 while self._match_texts(("INCLUDING", "EXCLUDING")): +1453 this = self._prev.text.upper() +1454 id_var = self._parse_id_var() +1455 +1456 if not id_var: +1457 return None +1458 +1459 options.append( +1460 self.expression( +1461 exp.Property, +1462 this=this, +1463 value=exp.Var(this=id_var.this.upper()), +1464 ) +1465 ) +1466 return self.expression(exp.LikeProperty, this=table, expressions=options) +1467 +1468 def _parse_sortkey(self, compound: bool = False) -> exp.Expression: +1469 return self.expression( +1470 exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound +1471 ) 1472 -1473 def _parse_insert(self) -> exp.Expression: -1474 overwrite = self._match(TokenType.OVERWRITE) -1475 local = self._match(TokenType.LOCAL) -1476 -1477 this: t.Optional[exp.Expression] +1473 def _parse_character_set(self, default: bool = False) -> exp.Expression: +1474 self._match(TokenType.EQ) +1475 return self.expression( +1476 exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default +1477 ) 1478 -1479 alternative = None -1480 if self._match_text_seq("DIRECTORY"): -1481 this = self.expression( -1482 exp.Directory, -1483 this=self._parse_var_or_string(), -1484 local=local, -1485 row_format=self._parse_row_format(match_row=True), -1486 ) -1487 else: -1488 if self._match(TokenType.OR): -1489 alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text -1490 -1491 self._match(TokenType.INTO) -1492 self._match(TokenType.TABLE) -1493 this = self._parse_table(schema=True) -1494 -1495 return self.expression( -1496 exp.Insert, -1497 this=this, -1498 exists=self._parse_exists(), -1499 partition=self._parse_partition(), -1500 expression=self._parse_ddl_select(), -1501 overwrite=overwrite, -1502 alternative=alternative, -1503 ) -1504 -1505 def _parse_row(self) -> t.Optional[exp.Expression]: -1506 if not self._match(TokenType.FORMAT): -1507 return None -1508 return self._parse_row_format() -1509 -1510 def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]: -1511 if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT): -1512 return None -1513 -1514 if self._match_text_seq("SERDE"): -1515 return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string()) -1516 -1517 self._match_text_seq("DELIMITED") -1518 -1519 kwargs = {} -1520 -1521 if self._match_text_seq("FIELDS", "TERMINATED", "BY"): -1522 kwargs["fields"] = self._parse_string() -1523 if self._match_text_seq("ESCAPED", "BY"): -1524 kwargs["escaped"] = self._parse_string() -1525 if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"): -1526 kwargs["collection_items"] = self._parse_string() -1527 if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"): -1528 kwargs["map_keys"] = self._parse_string() -1529 if self._match_text_seq("LINES", "TERMINATED", "BY"): -1530 kwargs["lines"] = self._parse_string() -1531 if self._match_text_seq("NULL", "DEFINED", "AS"): -1532 kwargs["null"] = self._parse_string() -1533 -1534 return self.expression(exp.RowFormatDelimitedProperty, **kwargs) # type: ignore -1535 -1536 def _parse_load_data(self) -> exp.Expression: -1537 local = self._match(TokenType.LOCAL) -1538 self._match_text_seq("INPATH") -1539 inpath = self._parse_string() -1540 overwrite = self._match(TokenType.OVERWRITE) -1541 self._match_pair(TokenType.INTO, TokenType.TABLE) -1542 -1543 return self.expression( -1544 exp.LoadData, -1545 this=self._parse_table(schema=True), -1546 local=local, -1547 overwrite=overwrite, -1548 inpath=inpath, -1549 partition=self._parse_partition(), -1550 input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(), -1551 serde=self._match_text_seq("SERDE") and self._parse_string(), -1552 ) -1553 -1554 def _parse_delete(self) -> exp.Expression: -1555 self._match(TokenType.FROM) +1479 def _parse_returns(self) -> exp.Expression: +1480 value: t.Optional[exp.Expression] +1481 is_table = self._match(TokenType.TABLE) +1482 +1483 if is_table: +1484 if self._match(TokenType.LT): +1485 value = self.expression( +1486 exp.Schema, +1487 this="TABLE", +1488 expressions=self._parse_csv(self._parse_struct_kwargs), +1489 ) +1490 if not self._match(TokenType.GT): +1491 self.raise_error("Expecting >") +1492 else: +1493 value = self._parse_schema(exp.Var(this="TABLE")) +1494 else: +1495 value = self._parse_types() +1496 +1497 return self.expression(exp.ReturnsProperty, this=value, is_table=is_table) +1498 +1499 def _parse_temporary(self, global_=False) -> exp.Expression: +1500 self._match(TokenType.TEMPORARY) # in case calling from "GLOBAL" +1501 return self.expression(exp.TemporaryProperty, global_=global_) +1502 +1503 def _parse_describe(self) -> exp.Expression: +1504 kind = self._match_set(self.CREATABLES) and self._prev.text +1505 this = self._parse_table() +1506 +1507 return self.expression(exp.Describe, this=this, kind=kind) +1508 +1509 def _parse_insert(self) -> exp.Expression: +1510 overwrite = self._match(TokenType.OVERWRITE) +1511 local = self._match(TokenType.LOCAL) +1512 +1513 this: t.Optional[exp.Expression] +1514 +1515 alternative = None +1516 if self._match_text_seq("DIRECTORY"): +1517 this = self.expression( +1518 exp.Directory, +1519 this=self._parse_var_or_string(), +1520 local=local, +1521 row_format=self._parse_row_format(match_row=True), +1522 ) +1523 else: +1524 if self._match(TokenType.OR): +1525 alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text +1526 +1527 self._match(TokenType.INTO) +1528 self._match(TokenType.TABLE) +1529 this = self._parse_table(schema=True) +1530 +1531 return self.expression( +1532 exp.Insert, +1533 this=this, +1534 exists=self._parse_exists(), +1535 partition=self._parse_partition(), +1536 expression=self._parse_ddl_select(), +1537 overwrite=overwrite, +1538 alternative=alternative, +1539 ) +1540 +1541 def _parse_row(self) -> t.Optional[exp.Expression]: +1542 if not self._match(TokenType.FORMAT): +1543 return None +1544 return self._parse_row_format() +1545 +1546 def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]: +1547 if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT): +1548 return None +1549 +1550 if self._match_text_seq("SERDE"): +1551 return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string()) +1552 +1553 self._match_text_seq("DELIMITED") +1554 +1555 kwargs = {} 1556 -1557 return self.expression( -1558 exp.Delete, -1559 this=self._parse_table(schema=True), -1560 using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()), -1561 where=self._parse_where(), -1562 ) -1563 -1564 def _parse_update(self) -> exp.Expression: -1565 return self.expression( -1566 exp.Update, -1567 **{ # type: ignore -1568 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), -1569 "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality), -1570 "from": self._parse_from(), -1571 "where": self._parse_where(), -1572 }, -1573 ) -1574 -1575 def _parse_uncache(self) -> exp.Expression: -1576 if not self._match(TokenType.TABLE): -1577 self.raise_error("Expecting TABLE after UNCACHE") +1557 if self._match_text_seq("FIELDS", "TERMINATED", "BY"): +1558 kwargs["fields"] = self._parse_string() +1559 if self._match_text_seq("ESCAPED", "BY"): +1560 kwargs["escaped"] = self._parse_string() +1561 if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"): +1562 kwargs["collection_items"] = self._parse_string() +1563 if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"): +1564 kwargs["map_keys"] = self._parse_string() +1565 if self._match_text_seq("LINES", "TERMINATED", "BY"): +1566 kwargs["lines"] = self._parse_string() +1567 if self._match_text_seq("NULL", "DEFINED", "AS"): +1568 kwargs["null"] = self._parse_string() +1569 +1570 return self.expression(exp.RowFormatDelimitedProperty, **kwargs) # type: ignore +1571 +1572 def _parse_load_data(self) -> exp.Expression: +1573 local = self._match(TokenType.LOCAL) +1574 self._match_text_seq("INPATH") +1575 inpath = self._parse_string() +1576 overwrite = self._match(TokenType.OVERWRITE) +1577 self._match_pair(TokenType.INTO, TokenType.TABLE) 1578 1579 return self.expression( -1580 exp.Uncache, -1581 exists=self._parse_exists(), -1582 this=self._parse_table(schema=True), -1583 ) -1584 -1585 def _parse_cache(self) -> exp.Expression: -1586 lazy = self._match(TokenType.LAZY) -1587 self._match(TokenType.TABLE) -1588 table = self._parse_table(schema=True) -1589 options = [] -1590 -1591 if self._match(TokenType.OPTIONS): -1592 self._match_l_paren() -1593 k = self._parse_string() -1594 self._match(TokenType.EQ) -1595 v = self._parse_string() -1596 options = [k, v] -1597 self._match_r_paren() -1598 -1599 self._match(TokenType.ALIAS) -1600 return self.expression( -1601 exp.Cache, -1602 this=table, -1603 lazy=lazy, -1604 options=options, -1605 expression=self._parse_select(nested=True), -1606 ) -1607 -1608 def _parse_partition(self) -> t.Optional[exp.Expression]: -1609 if not self._match(TokenType.PARTITION): -1610 return None -1611 -1612 return self.expression( -1613 exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction) -1614 ) -1615 -1616 def _parse_value(self) -> exp.Expression: -1617 if self._match(TokenType.L_PAREN): -1618 expressions = self._parse_csv(self._parse_conjunction) -1619 self._match_r_paren() -1620 return self.expression(exp.Tuple, expressions=expressions) -1621 -1622 # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows. -1623 # Source: https://prestodb.io/docs/current/sql/values.html -1624 return self.expression(exp.Tuple, expressions=[self._parse_conjunction()]) -1625 -1626 def _parse_select( -1627 self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True -1628 ) -> t.Optional[exp.Expression]: -1629 cte = self._parse_with() -1630 if cte: -1631 this = self._parse_statement() -1632 -1633 if not this: -1634 self.raise_error("Failed to parse any statement following CTE") -1635 return cte -1636 -1637 if "with" in this.arg_types: -1638 this.set("with", cte) -1639 else: -1640 self.raise_error(f"{this.key} does not support CTE") -1641 this = cte -1642 elif self._match(TokenType.SELECT): -1643 comments = self._prev_comments -1644 -1645 hint = self._parse_hint() -1646 all_ = self._match(TokenType.ALL) -1647 distinct = self._match(TokenType.DISTINCT) -1648 -1649 if distinct: -1650 distinct = self.expression( -1651 exp.Distinct, -1652 on=self._parse_value() if self._match(TokenType.ON) else None, -1653 ) -1654 -1655 if all_ and distinct: -1656 self.raise_error("Cannot specify both ALL and DISTINCT after SELECT") +1580 exp.LoadData, +1581 this=self._parse_table(schema=True), +1582 local=local, +1583 overwrite=overwrite, +1584 inpath=inpath, +1585 partition=self._parse_partition(), +1586 input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(), +1587 serde=self._match_text_seq("SERDE") and self._parse_string(), +1588 ) +1589 +1590 def _parse_delete(self) -> exp.Expression: +1591 self._match(TokenType.FROM) +1592 +1593 return self.expression( +1594 exp.Delete, +1595 this=self._parse_table(schema=True), +1596 using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()), +1597 where=self._parse_where(), +1598 ) +1599 +1600 def _parse_update(self) -> exp.Expression: +1601 return self.expression( +1602 exp.Update, +1603 **{ # type: ignore +1604 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), +1605 "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality), +1606 "from": self._parse_from(), +1607 "where": self._parse_where(), +1608 }, +1609 ) +1610 +1611 def _parse_uncache(self) -> exp.Expression: +1612 if not self._match(TokenType.TABLE): +1613 self.raise_error("Expecting TABLE after UNCACHE") +1614 +1615 return self.expression( +1616 exp.Uncache, +1617 exists=self._parse_exists(), +1618 this=self._parse_table(schema=True), +1619 ) +1620 +1621 def _parse_cache(self) -> exp.Expression: +1622 lazy = self._match(TokenType.LAZY) +1623 self._match(TokenType.TABLE) +1624 table = self._parse_table(schema=True) +1625 options = [] +1626 +1627 if self._match(TokenType.OPTIONS): +1628 self._match_l_paren() +1629 k = self._parse_string() +1630 self._match(TokenType.EQ) +1631 v = self._parse_string() +1632 options = [k, v] +1633 self._match_r_paren() +1634 +1635 self._match(TokenType.ALIAS) +1636 return self.expression( +1637 exp.Cache, +1638 this=table, +1639 lazy=lazy, +1640 options=options, +1641 expression=self._parse_select(nested=True), +1642 ) +1643 +1644 def _parse_partition(self) -> t.Optional[exp.Expression]: +1645 if not self._match(TokenType.PARTITION): +1646 return None +1647 +1648 return self.expression( +1649 exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction) +1650 ) +1651 +1652 def _parse_value(self) -> exp.Expression: +1653 if self._match(TokenType.L_PAREN): +1654 expressions = self._parse_csv(self._parse_conjunction) +1655 self._match_r_paren() +1656 return self.expression(exp.Tuple, expressions=expressions) 1657 -1658 limit = self._parse_limit(top=True) -1659 expressions = self._parse_csv(self._parse_expression) -1660 -1661 this = self.expression( -1662 exp.Select, -1663 hint=hint, -1664 distinct=distinct, -1665 expressions=expressions, -1666 limit=limit, -1667 ) -1668 this.comments = comments -1669 -1670 into = self._parse_into() -1671 if into: -1672 this.set("into", into) -1673 -1674 from_ = self._parse_from() -1675 if from_: -1676 this.set("from", from_) -1677 -1678 self._parse_query_modifiers(this) -1679 elif (table or nested) and self._match(TokenType.L_PAREN): -1680 this = self._parse_table() if table else self._parse_select(nested=True) -1681 self._parse_query_modifiers(this) -1682 this = self._parse_set_operations(this) -1683 self._match_r_paren() +1658 # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows. +1659 # Source: https://prestodb.io/docs/current/sql/values.html +1660 return self.expression(exp.Tuple, expressions=[self._parse_conjunction()]) +1661 +1662 def _parse_select( +1663 self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True +1664 ) -> t.Optional[exp.Expression]: +1665 cte = self._parse_with() +1666 if cte: +1667 this = self._parse_statement() +1668 +1669 if not this: +1670 self.raise_error("Failed to parse any statement following CTE") +1671 return cte +1672 +1673 if "with" in this.arg_types: +1674 this.set("with", cte) +1675 else: +1676 self.raise_error(f"{this.key} does not support CTE") +1677 this = cte +1678 elif self._match(TokenType.SELECT): +1679 comments = self._prev_comments +1680 +1681 hint = self._parse_hint() +1682 all_ = self._match(TokenType.ALL) +1683 distinct = self._match(TokenType.DISTINCT) 1684 -1685 # early return so that subquery unions aren't parsed again -1686 # SELECT * FROM (SELECT 1) UNION ALL SELECT 1 -1687 # Union ALL should be a property of the top select node, not the subquery -1688 return self._parse_subquery(this, parse_alias=parse_subquery_alias) -1689 elif self._match(TokenType.VALUES): -1690 this = self.expression( -1691 exp.Values, -1692 expressions=self._parse_csv(self._parse_value), -1693 alias=self._parse_table_alias(), -1694 ) -1695 else: -1696 this = None -1697 -1698 return self._parse_set_operations(this) -1699 -1700 def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]: -1701 if not skip_with_token and not self._match(TokenType.WITH): -1702 return None -1703 -1704 recursive = self._match(TokenType.RECURSIVE) +1685 if distinct: +1686 distinct = self.expression( +1687 exp.Distinct, +1688 on=self._parse_value() if self._match(TokenType.ON) else None, +1689 ) +1690 +1691 if all_ and distinct: +1692 self.raise_error("Cannot specify both ALL and DISTINCT after SELECT") +1693 +1694 limit = self._parse_limit(top=True) +1695 expressions = self._parse_csv(self._parse_expression) +1696 +1697 this = self.expression( +1698 exp.Select, +1699 hint=hint, +1700 distinct=distinct, +1701 expressions=expressions, +1702 limit=limit, +1703 ) +1704 this.comments = comments 1705 -1706 expressions = [] -1707 while True: -1708 expressions.append(self._parse_cte()) +1706 into = self._parse_into() +1707 if into: +1708 this.set("into", into) 1709 -1710 if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH): -1711 break -1712 else: -1713 self._match(TokenType.WITH) -1714 -1715 return self.expression(exp.With, expressions=expressions, recursive=recursive) -1716 -1717 def _parse_cte(self) -> exp.Expression: -1718 alias = self._parse_table_alias() -1719 if not alias or not alias.this: -1720 self.raise_error("Expected CTE to have alias") -1721 -1722 self._match(TokenType.ALIAS) -1723 -1724 return self.expression( -1725 exp.CTE, -1726 this=self._parse_wrapped(self._parse_statement), -1727 alias=alias, -1728 ) -1729 -1730 def _parse_table_alias( -1731 self, alias_tokens: t.Optional[t.Collection[TokenType]] = None -1732 ) -> t.Optional[exp.Expression]: -1733 any_token = self._match(TokenType.ALIAS) -1734 alias = self._parse_id_var( -1735 any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS -1736 ) -1737 index = self._index -1738 -1739 if self._match(TokenType.L_PAREN): -1740 columns = self._parse_csv(self._parse_function_parameter) -1741 self._match_r_paren() if columns else self._retreat(index) -1742 else: -1743 columns = None -1744 -1745 if not alias and not columns: -1746 return None -1747 -1748 return self.expression(exp.TableAlias, this=alias, columns=columns) -1749 -1750 def _parse_subquery( -1751 self, this: t.Optional[exp.Expression], parse_alias: bool = True -1752 ) -> exp.Expression: -1753 return self.expression( -1754 exp.Subquery, -1755 this=this, -1756 pivots=self._parse_pivots(), -1757 alias=self._parse_table_alias() if parse_alias else None, -1758 ) +1710 from_ = self._parse_from() +1711 if from_: +1712 this.set("from", from_) +1713 +1714 self._parse_query_modifiers(this) +1715 elif (table or nested) and self._match(TokenType.L_PAREN): +1716 this = self._parse_table() if table else self._parse_select(nested=True) +1717 self._parse_query_modifiers(this) +1718 this = self._parse_set_operations(this) +1719 self._match_r_paren() +1720 +1721 # early return so that subquery unions aren't parsed again +1722 # SELECT * FROM (SELECT 1) UNION ALL SELECT 1 +1723 # Union ALL should be a property of the top select node, not the subquery +1724 return self._parse_subquery(this, parse_alias=parse_subquery_alias) +1725 elif self._match(TokenType.VALUES): +1726 this = self.expression( +1727 exp.Values, +1728 expressions=self._parse_csv(self._parse_value), +1729 alias=self._parse_table_alias(), +1730 ) +1731 else: +1732 this = None +1733 +1734 return self._parse_set_operations(this) +1735 +1736 def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]: +1737 if not skip_with_token and not self._match(TokenType.WITH): +1738 return None +1739 +1740 recursive = self._match(TokenType.RECURSIVE) +1741 +1742 expressions = [] +1743 while True: +1744 expressions.append(self._parse_cte()) +1745 +1746 if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH): +1747 break +1748 else: +1749 self._match(TokenType.WITH) +1750 +1751 return self.expression(exp.With, expressions=expressions, recursive=recursive) +1752 +1753 def _parse_cte(self) -> exp.Expression: +1754 alias = self._parse_table_alias() +1755 if not alias or not alias.this: +1756 self.raise_error("Expected CTE to have alias") +1757 +1758 self._match(TokenType.ALIAS) 1759 -1760 def _parse_query_modifiers(self, this: t.Optional[exp.Expression]) -> None: -1761 if not isinstance(this, self.MODIFIABLES): -1762 return -1763 -1764 table = isinstance(this, exp.Table) +1760 return self.expression( +1761 exp.CTE, +1762 this=self._parse_wrapped(self._parse_statement), +1763 alias=alias, +1764 ) 1765 -1766 while True: -1767 lateral = self._parse_lateral() -1768 join = self._parse_join() -1769 comma = None if table else self._match(TokenType.COMMA) -1770 if lateral: -1771 this.append("laterals", lateral) -1772 if join: -1773 this.append("joins", join) -1774 if comma: -1775 this.args["from"].append("expressions", self._parse_table()) -1776 if not (lateral or join or comma): -1777 break -1778 -1779 for key, parser in self.QUERY_MODIFIER_PARSERS.items(): -1780 expression = parser(self) -1781 -1782 if expression: -1783 this.set(key, expression) -1784 -1785 def _parse_hint(self) -> t.Optional[exp.Expression]: -1786 if self._match(TokenType.HINT): -1787 hints = self._parse_csv(self._parse_function) -1788 if not self._match_pair(TokenType.STAR, TokenType.SLASH): -1789 self.raise_error("Expected */ after HINT") -1790 return self.expression(exp.Hint, expressions=hints) -1791 -1792 return None -1793 -1794 def _parse_into(self) -> t.Optional[exp.Expression]: -1795 if not self._match(TokenType.INTO): -1796 return None -1797 -1798 temp = self._match(TokenType.TEMPORARY) -1799 unlogged = self._match(TokenType.UNLOGGED) -1800 self._match(TokenType.TABLE) +1766 def _parse_table_alias( +1767 self, alias_tokens: t.Optional[t.Collection[TokenType]] = None +1768 ) -> t.Optional[exp.Expression]: +1769 any_token = self._match(TokenType.ALIAS) +1770 alias = self._parse_id_var( +1771 any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS +1772 ) +1773 index = self._index +1774 +1775 if self._match(TokenType.L_PAREN): +1776 columns = self._parse_csv(self._parse_function_parameter) +1777 self._match_r_paren() if columns else self._retreat(index) +1778 else: +1779 columns = None +1780 +1781 if not alias and not columns: +1782 return None +1783 +1784 return self.expression(exp.TableAlias, this=alias, columns=columns) +1785 +1786 def _parse_subquery( +1787 self, this: t.Optional[exp.Expression], parse_alias: bool = True +1788 ) -> exp.Expression: +1789 return self.expression( +1790 exp.Subquery, +1791 this=this, +1792 pivots=self._parse_pivots(), +1793 alias=self._parse_table_alias() if parse_alias else None, +1794 ) +1795 +1796 def _parse_query_modifiers(self, this: t.Optional[exp.Expression]) -> None: +1797 if not isinstance(this, self.MODIFIABLES): +1798 return +1799 +1800 table = isinstance(this, exp.Table) 1801 -1802 return self.expression( -1803 exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged -1804 ) -1805 -1806 def _parse_from(self) -> t.Optional[exp.Expression]: -1807 if not self._match(TokenType.FROM): -1808 return None -1809 -1810 return self.expression( -1811 exp.From, comments=self._prev_comments, expressions=self._parse_csv(self._parse_table) -1812 ) -1813 -1814 def _parse_match_recognize(self) -> t.Optional[exp.Expression]: -1815 if not self._match(TokenType.MATCH_RECOGNIZE): -1816 return None -1817 self._match_l_paren() -1818 -1819 partition = self._parse_partition_by() -1820 order = self._parse_order() -1821 measures = ( -1822 self._parse_alias(self._parse_conjunction()) -1823 if self._match_text_seq("MEASURES") -1824 else None -1825 ) -1826 -1827 if self._match_text_seq("ONE", "ROW", "PER", "MATCH"): -1828 rows = exp.Var(this="ONE ROW PER MATCH") -1829 elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"): -1830 text = "ALL ROWS PER MATCH" -1831 if self._match_text_seq("SHOW", "EMPTY", "MATCHES"): -1832 text += f" SHOW EMPTY MATCHES" -1833 elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"): -1834 text += f" OMIT EMPTY MATCHES" -1835 elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"): -1836 text += f" WITH UNMATCHED ROWS" -1837 rows = exp.Var(this=text) -1838 else: -1839 rows = None -1840 -1841 if self._match_text_seq("AFTER", "MATCH", "SKIP"): -1842 text = "AFTER MATCH SKIP" -1843 if self._match_text_seq("PAST", "LAST", "ROW"): -1844 text += f" PAST LAST ROW" -1845 elif self._match_text_seq("TO", "NEXT", "ROW"): -1846 text += f" TO NEXT ROW" -1847 elif self._match_text_seq("TO", "FIRST"): -1848 text += f" TO FIRST {self._advance_any().text}" # type: ignore -1849 elif self._match_text_seq("TO", "LAST"): -1850 text += f" TO LAST {self._advance_any().text}" # type: ignore -1851 after = exp.Var(this=text) -1852 else: -1853 after = None +1802 while True: +1803 lateral = self._parse_lateral() +1804 join = self._parse_join() +1805 comma = None if table else self._match(TokenType.COMMA) +1806 if lateral: +1807 this.append("laterals", lateral) +1808 if join: +1809 this.append("joins", join) +1810 if comma: +1811 this.args["from"].append("expressions", self._parse_table()) +1812 if not (lateral or join or comma): +1813 break +1814 +1815 for key, parser in self.QUERY_MODIFIER_PARSERS.items(): +1816 expression = parser(self) +1817 +1818 if expression: +1819 this.set(key, expression) +1820 +1821 def _parse_hint(self) -> t.Optional[exp.Expression]: +1822 if self._match(TokenType.HINT): +1823 hints = self._parse_csv(self._parse_function) +1824 if not self._match_pair(TokenType.STAR, TokenType.SLASH): +1825 self.raise_error("Expected */ after HINT") +1826 return self.expression(exp.Hint, expressions=hints) +1827 +1828 return None +1829 +1830 def _parse_into(self) -> t.Optional[exp.Expression]: +1831 if not self._match(TokenType.INTO): +1832 return None +1833 +1834 temp = self._match(TokenType.TEMPORARY) +1835 unlogged = self._match(TokenType.UNLOGGED) +1836 self._match(TokenType.TABLE) +1837 +1838 return self.expression( +1839 exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged +1840 ) +1841 +1842 def _parse_from(self) -> t.Optional[exp.Expression]: +1843 if not self._match(TokenType.FROM): +1844 return None +1845 +1846 return self.expression( +1847 exp.From, comments=self._prev_comments, expressions=self._parse_csv(self._parse_table) +1848 ) +1849 +1850 def _parse_match_recognize(self) -> t.Optional[exp.Expression]: +1851 if not self._match(TokenType.MATCH_RECOGNIZE): +1852 return None +1853 self._match_l_paren() 1854 -1855 if self._match_text_seq("PATTERN"): -1856 self._match_l_paren() -1857 -1858 if not self._curr: -1859 self.raise_error("Expecting )", self._curr) -1860 -1861 paren = 1 -1862 start = self._curr -1863 -1864 while self._curr and paren > 0: -1865 if self._curr.token_type == TokenType.L_PAREN: -1866 paren += 1 -1867 if self._curr.token_type == TokenType.R_PAREN: -1868 paren -= 1 -1869 end = self._prev -1870 self._advance() -1871 if paren > 0: -1872 self.raise_error("Expecting )", self._curr) -1873 pattern = exp.Var(this=self._find_sql(start, end)) +1855 partition = self._parse_partition_by() +1856 order = self._parse_order() +1857 measures = ( +1858 self._parse_alias(self._parse_conjunction()) +1859 if self._match_text_seq("MEASURES") +1860 else None +1861 ) +1862 +1863 if self._match_text_seq("ONE", "ROW", "PER", "MATCH"): +1864 rows = exp.Var(this="ONE ROW PER MATCH") +1865 elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"): +1866 text = "ALL ROWS PER MATCH" +1867 if self._match_text_seq("SHOW", "EMPTY", "MATCHES"): +1868 text += f" SHOW EMPTY MATCHES" +1869 elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"): +1870 text += f" OMIT EMPTY MATCHES" +1871 elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"): +1872 text += f" WITH UNMATCHED ROWS" +1873 rows = exp.Var(this=text) 1874 else: -1875 pattern = None +1875 rows = None 1876 -1877 define = ( -1878 self._parse_alias(self._parse_conjunction()) if self._match_text_seq("DEFINE") else None -1879 ) -1880 self._match_r_paren() -1881 -1882 return self.expression( -1883 exp.MatchRecognize, -1884 partition_by=partition, -1885 order=order, -1886 measures=measures, -1887 rows=rows, -1888 after=after, -1889 pattern=pattern, -1890 define=define, -1891 ) -1892 -1893 def _parse_lateral(self) -> t.Optional[exp.Expression]: -1894 outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY) -1895 cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY) +1877 if self._match_text_seq("AFTER", "MATCH", "SKIP"): +1878 text = "AFTER MATCH SKIP" +1879 if self._match_text_seq("PAST", "LAST", "ROW"): +1880 text += f" PAST LAST ROW" +1881 elif self._match_text_seq("TO", "NEXT", "ROW"): +1882 text += f" TO NEXT ROW" +1883 elif self._match_text_seq("TO", "FIRST"): +1884 text += f" TO FIRST {self._advance_any().text}" # type: ignore +1885 elif self._match_text_seq("TO", "LAST"): +1886 text += f" TO LAST {self._advance_any().text}" # type: ignore +1887 after = exp.Var(this=text) +1888 else: +1889 after = None +1890 +1891 if self._match_text_seq("PATTERN"): +1892 self._match_l_paren() +1893 +1894 if not self._curr: +1895 self.raise_error("Expecting )", self._curr) 1896 -1897 if outer_apply or cross_apply: -1898 this = self._parse_select(table=True) -1899 view = None -1900 outer = not cross_apply -1901 elif self._match(TokenType.LATERAL): -1902 this = self._parse_select(table=True) -1903 view = self._match(TokenType.VIEW) -1904 outer = self._match(TokenType.OUTER) -1905 else: -1906 return None -1907 -1908 if not this: -1909 this = self._parse_function() or self._parse_id_var(any_token=False) -1910 while self._match(TokenType.DOT): -1911 this = exp.Dot( -1912 this=this, -1913 expression=self._parse_function() or self._parse_id_var(any_token=False), -1914 ) -1915 -1916 table_alias: t.Optional[exp.Expression] +1897 paren = 1 +1898 start = self._curr +1899 +1900 while self._curr and paren > 0: +1901 if self._curr.token_type == TokenType.L_PAREN: +1902 paren += 1 +1903 if self._curr.token_type == TokenType.R_PAREN: +1904 paren -= 1 +1905 end = self._prev +1906 self._advance() +1907 if paren > 0: +1908 self.raise_error("Expecting )", self._curr) +1909 pattern = exp.Var(this=self._find_sql(start, end)) +1910 else: +1911 pattern = None +1912 +1913 define = ( +1914 self._parse_alias(self._parse_conjunction()) if self._match_text_seq("DEFINE") else None +1915 ) +1916 self._match_r_paren() 1917 -1918 if view: -1919 table = self._parse_id_var(any_token=False) -1920 columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else [] -1921 table_alias = self.expression(exp.TableAlias, this=table, columns=columns) -1922 else: -1923 table_alias = self._parse_table_alias() -1924 -1925 expression = self.expression( -1926 exp.Lateral, -1927 this=this, -1928 view=view, -1929 outer=outer, -1930 alias=table_alias, -1931 ) +1918 return self.expression( +1919 exp.MatchRecognize, +1920 partition_by=partition, +1921 order=order, +1922 measures=measures, +1923 rows=rows, +1924 after=after, +1925 pattern=pattern, +1926 define=define, +1927 ) +1928 +1929 def _parse_lateral(self) -> t.Optional[exp.Expression]: +1930 outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY) +1931 cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY) 1932 1933 if outer_apply or cross_apply: -1934 return self.expression(exp.Join, this=expression, side=None if cross_apply else "LEFT") -1935 -1936 return expression -1937 -1938 def _parse_join_side_and_kind( -1939 self, -1940 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: -1941 return ( -1942 self._match(TokenType.NATURAL) and self._prev, -1943 self._match_set(self.JOIN_SIDES) and self._prev, -1944 self._match_set(self.JOIN_KINDS) and self._prev, -1945 ) -1946 -1947 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: -1948 natural, side, kind = self._parse_join_side_and_kind() -1949 -1950 if not skip_join_token and not self._match(TokenType.JOIN): -1951 return None -1952 -1953 kwargs: t.Dict[ -1954 str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]] -1955 ] = {"this": self._parse_table()} -1956 -1957 if natural: -1958 kwargs["natural"] = True -1959 if side: -1960 kwargs["side"] = side.text -1961 if kind: -1962 kwargs["kind"] = kind.text -1963 -1964 if self._match(TokenType.ON): -1965 kwargs["on"] = self._parse_conjunction() -1966 elif self._match(TokenType.USING): -1967 kwargs["using"] = self._parse_wrapped_id_vars() +1934 this = self._parse_select(table=True) +1935 view = None +1936 outer = not cross_apply +1937 elif self._match(TokenType.LATERAL): +1938 this = self._parse_select(table=True) +1939 view = self._match(TokenType.VIEW) +1940 outer = self._match(TokenType.OUTER) +1941 else: +1942 return None +1943 +1944 if not this: +1945 this = self._parse_function() or self._parse_id_var(any_token=False) +1946 while self._match(TokenType.DOT): +1947 this = exp.Dot( +1948 this=this, +1949 expression=self._parse_function() or self._parse_id_var(any_token=False), +1950 ) +1951 +1952 table_alias: t.Optional[exp.Expression] +1953 +1954 if view: +1955 table = self._parse_id_var(any_token=False) +1956 columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else [] +1957 table_alias = self.expression(exp.TableAlias, this=table, columns=columns) +1958 else: +1959 table_alias = self._parse_table_alias() +1960 +1961 expression = self.expression( +1962 exp.Lateral, +1963 this=this, +1964 view=view, +1965 outer=outer, +1966 alias=table_alias, +1967 ) 1968 -1969 return self.expression(exp.Join, **kwargs) # type: ignore -1970 -1971 def _parse_index(self) -> exp.Expression: -1972 index = self._parse_id_var() -1973 self._match(TokenType.ON) -1974 self._match(TokenType.TABLE) # hive -1975 -1976 return self.expression( -1977 exp.Index, -1978 this=index, -1979 table=self.expression(exp.Table, this=self._parse_id_var()), -1980 columns=self._parse_expression(), +1969 if outer_apply or cross_apply: +1970 return self.expression(exp.Join, this=expression, side=None if cross_apply else "LEFT") +1971 +1972 return expression +1973 +1974 def _parse_join_side_and_kind( +1975 self, +1976 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: +1977 return ( +1978 self._match(TokenType.NATURAL) and self._prev, +1979 self._match_set(self.JOIN_SIDES) and self._prev, +1980 self._match_set(self.JOIN_KINDS) and self._prev, 1981 ) 1982 -1983 def _parse_create_table_index(self) -> t.Optional[exp.Expression]: -1984 unique = self._match(TokenType.UNIQUE) -1985 primary = self._match_text_seq("PRIMARY") -1986 amp = self._match_text_seq("AMP") -1987 if not self._match(TokenType.INDEX): -1988 return None -1989 index = self._parse_id_var() -1990 columns = None -1991 if self._match(TokenType.L_PAREN, advance=False): -1992 columns = self._parse_wrapped_csv(self._parse_column) -1993 return self.expression( -1994 exp.Index, -1995 this=index, -1996 columns=columns, -1997 unique=unique, -1998 primary=primary, -1999 amp=amp, -2000 ) -2001 -2002 def _parse_table_parts(self, schema: bool = False) -> exp.Expression: -2003 catalog = None -2004 db = None -2005 table = (not schema and self._parse_function()) or self._parse_id_var(any_token=False) +1983 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: +1984 natural, side, kind = self._parse_join_side_and_kind() +1985 +1986 if not skip_join_token and not self._match(TokenType.JOIN): +1987 return None +1988 +1989 kwargs: t.Dict[ +1990 str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]] +1991 ] = {"this": self._parse_table()} +1992 +1993 if natural: +1994 kwargs["natural"] = True +1995 if side: +1996 kwargs["side"] = side.text +1997 if kind: +1998 kwargs["kind"] = kind.text +1999 +2000 if self._match(TokenType.ON): +2001 kwargs["on"] = self._parse_conjunction() +2002 elif self._match(TokenType.USING): +2003 kwargs["using"] = self._parse_wrapped_id_vars() +2004 +2005 return self.expression(exp.Join, **kwargs) # type: ignore 2006 -2007 while self._match(TokenType.DOT): -2008 if catalog: -2009 # This allows nesting the table in arbitrarily many dot expressions if needed -2010 table = self.expression(exp.Dot, this=table, expression=self._parse_id_var()) -2011 else: -2012 catalog = db -2013 db = table -2014 table = self._parse_id_var() -2015 -2016 if not table: -2017 self.raise_error(f"Expected table name but got {self._curr}") +2007 def _parse_index(self) -> exp.Expression: +2008 index = self._parse_id_var() +2009 self._match(TokenType.ON) +2010 self._match(TokenType.TABLE) # hive +2011 +2012 return self.expression( +2013 exp.Index, +2014 this=index, +2015 table=self.expression(exp.Table, this=self._parse_id_var()), +2016 columns=self._parse_expression(), +2017 ) 2018 -2019 return self.expression( -2020 exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots() -2021 ) -2022 -2023 def _parse_table( -2024 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None -2025 ) -> t.Optional[exp.Expression]: -2026 lateral = self._parse_lateral() -2027 -2028 if lateral: -2029 return lateral -2030 -2031 unnest = self._parse_unnest() -2032 -2033 if unnest: -2034 return unnest -2035 -2036 values = self._parse_derived_table_values() +2019 def _parse_create_table_index(self) -> t.Optional[exp.Expression]: +2020 unique = self._match(TokenType.UNIQUE) +2021 primary = self._match_text_seq("PRIMARY") +2022 amp = self._match_text_seq("AMP") +2023 if not self._match(TokenType.INDEX): +2024 return None +2025 index = self._parse_id_var() +2026 columns = None +2027 if self._match(TokenType.L_PAREN, advance=False): +2028 columns = self._parse_wrapped_csv(self._parse_column) +2029 return self.expression( +2030 exp.Index, +2031 this=index, +2032 columns=columns, +2033 unique=unique, +2034 primary=primary, +2035 amp=amp, +2036 ) 2037 -2038 if values: -2039 return values -2040 -2041 subquery = self._parse_select(table=True) +2038 def _parse_table_parts(self, schema: bool = False) -> exp.Expression: +2039 catalog = None +2040 db = None +2041 table = (not schema and self._parse_function()) or self._parse_id_var(any_token=False) 2042 -2043 if subquery: -2044 return subquery -2045 -2046 this = self._parse_table_parts(schema=schema) -2047 -2048 if schema: -2049 return self._parse_schema(this=this) -2050 -2051 if self.alias_post_tablesample: -2052 table_sample = self._parse_table_sample() -2053 -2054 alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS) -2055 -2056 if alias: -2057 this.set("alias", alias) +2043 while self._match(TokenType.DOT): +2044 if catalog: +2045 # This allows nesting the table in arbitrarily many dot expressions if needed +2046 table = self.expression(exp.Dot, this=table, expression=self._parse_id_var()) +2047 else: +2048 catalog = db +2049 db = table +2050 table = self._parse_id_var() +2051 +2052 if not table: +2053 self.raise_error(f"Expected table name but got {self._curr}") +2054 +2055 return self.expression( +2056 exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots() +2057 ) 2058 -2059 if not this.args.get("pivots"): -2060 this.set("pivots", self._parse_pivots()) -2061 -2062 if self._match_pair(TokenType.WITH, TokenType.L_PAREN): -2063 this.set( -2064 "hints", -2065 self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)), -2066 ) -2067 self._match_r_paren() +2059 def _parse_table( +2060 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None +2061 ) -> t.Optional[exp.Expression]: +2062 lateral = self._parse_lateral() +2063 +2064 if lateral: +2065 return lateral +2066 +2067 unnest = self._parse_unnest() 2068 -2069 if not self.alias_post_tablesample: -2070 table_sample = self._parse_table_sample() +2069 if unnest: +2070 return unnest 2071 -2072 if table_sample: -2073 table_sample.set("this", this) -2074 this = table_sample -2075 -2076 return this -2077 -2078 def _parse_unnest(self) -> t.Optional[exp.Expression]: -2079 if not self._match(TokenType.UNNEST): -2080 return None +2072 values = self._parse_derived_table_values() +2073 +2074 if values: +2075 return values +2076 +2077 subquery = self._parse_select(table=True) +2078 +2079 if subquery: +2080 return subquery 2081 -2082 expressions = self._parse_wrapped_csv(self._parse_column) -2083 ordinality = bool(self._match(TokenType.WITH) and self._match(TokenType.ORDINALITY)) -2084 alias = self._parse_table_alias() -2085 -2086 if alias and self.unnest_column_only: -2087 if alias.args.get("columns"): -2088 self.raise_error("Unexpected extra column alias in unnest.") -2089 alias.set("columns", [alias.this]) -2090 alias.set("this", None) +2082 this = self._parse_table_parts(schema=schema) +2083 +2084 if schema: +2085 return self._parse_schema(this=this) +2086 +2087 if self.alias_post_tablesample: +2088 table_sample = self._parse_table_sample() +2089 +2090 alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS) 2091 -2092 offset = None -2093 if self._match_pair(TokenType.WITH, TokenType.OFFSET): -2094 self._match(TokenType.ALIAS) -2095 offset = self._parse_conjunction() -2096 -2097 return self.expression( -2098 exp.Unnest, -2099 expressions=expressions, -2100 ordinality=ordinality, -2101 alias=alias, -2102 offset=offset, -2103 ) +2092 if alias: +2093 this.set("alias", alias) +2094 +2095 if not this.args.get("pivots"): +2096 this.set("pivots", self._parse_pivots()) +2097 +2098 if self._match_pair(TokenType.WITH, TokenType.L_PAREN): +2099 this.set( +2100 "hints", +2101 self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)), +2102 ) +2103 self._match_r_paren() 2104 -2105 def _parse_derived_table_values(self) -> t.Optional[exp.Expression]: -2106 is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES) -2107 if not is_derived and not self._match(TokenType.VALUES): -2108 return None -2109 -2110 expressions = self._parse_csv(self._parse_value) +2105 if not self.alias_post_tablesample: +2106 table_sample = self._parse_table_sample() +2107 +2108 if table_sample: +2109 table_sample.set("this", this) +2110 this = table_sample 2111 -2112 if is_derived: -2113 self._match_r_paren() -2114 -2115 return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias()) -2116 -2117 def _parse_table_sample(self) -> t.Optional[exp.Expression]: -2118 if not self._match(TokenType.TABLE_SAMPLE): -2119 return None -2120 -2121 method = self._parse_var() -2122 bucket_numerator = None -2123 bucket_denominator = None -2124 bucket_field = None -2125 percent = None -2126 rows = None -2127 size = None -2128 seed = None -2129 -2130 self._match_l_paren() -2131 -2132 if self._match(TokenType.BUCKET): -2133 bucket_numerator = self._parse_number() -2134 self._match(TokenType.OUT_OF) -2135 bucket_denominator = bucket_denominator = self._parse_number() -2136 self._match(TokenType.ON) -2137 bucket_field = self._parse_field() -2138 else: -2139 num = self._parse_number() +2112 return this +2113 +2114 def _parse_unnest(self) -> t.Optional[exp.Expression]: +2115 if not self._match(TokenType.UNNEST): +2116 return None +2117 +2118 expressions = self._parse_wrapped_csv(self._parse_column) +2119 ordinality = bool(self._match(TokenType.WITH) and self._match(TokenType.ORDINALITY)) +2120 alias = self._parse_table_alias() +2121 +2122 if alias and self.unnest_column_only: +2123 if alias.args.get("columns"): +2124 self.raise_error("Unexpected extra column alias in unnest.") +2125 alias.set("columns", [alias.this]) +2126 alias.set("this", None) +2127 +2128 offset = None +2129 if self._match_pair(TokenType.WITH, TokenType.OFFSET): +2130 self._match(TokenType.ALIAS) +2131 offset = self._parse_conjunction() +2132 +2133 return self.expression( +2134 exp.Unnest, +2135 expressions=expressions, +2136 ordinality=ordinality, +2137 alias=alias, +2138 offset=offset, +2139 ) 2140 -2141 if self._match(TokenType.PERCENT): -2142 percent = num -2143 elif self._match(TokenType.ROWS): -2144 rows = num -2145 else: -2146 size = num +2141 def _parse_derived_table_values(self) -> t.Optional[exp.Expression]: +2142 is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES) +2143 if not is_derived and not self._match(TokenType.VALUES): +2144 return None +2145 +2146 expressions = self._parse_csv(self._parse_value) 2147 -2148 self._match_r_paren() -2149 -2150 if self._match(TokenType.SEED): -2151 seed = self._parse_wrapped(self._parse_number) +2148 if is_derived: +2149 self._match_r_paren() +2150 +2151 return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias()) 2152 -2153 return self.expression( -2154 exp.TableSample, -2155 method=method, -2156 bucket_numerator=bucket_numerator, -2157 bucket_denominator=bucket_denominator, -2158 bucket_field=bucket_field, -2159 percent=percent, -2160 rows=rows, -2161 size=size, -2162 seed=seed, -2163 ) -2164 -2165 def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]: -2166 return list(iter(self._parse_pivot, None)) +2153 def _parse_table_sample(self) -> t.Optional[exp.Expression]: +2154 if not self._match(TokenType.TABLE_SAMPLE): +2155 return None +2156 +2157 method = self._parse_var() +2158 bucket_numerator = None +2159 bucket_denominator = None +2160 bucket_field = None +2161 percent = None +2162 rows = None +2163 size = None +2164 seed = None +2165 +2166 self._match_l_paren() 2167 -2168 def _parse_pivot(self) -> t.Optional[exp.Expression]: -2169 index = self._index -2170 -2171 if self._match(TokenType.PIVOT): -2172 unpivot = False -2173 elif self._match(TokenType.UNPIVOT): -2174 unpivot = True -2175 else: -2176 return None -2177 -2178 expressions = [] -2179 field = None -2180 -2181 if not self._match(TokenType.L_PAREN): -2182 self._retreat(index) -2183 return None -2184 -2185 if unpivot: -2186 expressions = self._parse_csv(self._parse_column) -2187 else: -2188 expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function())) -2189 -2190 if not self._match(TokenType.FOR): -2191 self.raise_error("Expecting FOR") -2192 -2193 value = self._parse_column() -2194 -2195 if not self._match(TokenType.IN): -2196 self.raise_error("Expecting IN") -2197 -2198 field = self._parse_in(value) -2199 -2200 self._match_r_paren() -2201 -2202 pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot) +2168 if self._match(TokenType.BUCKET): +2169 bucket_numerator = self._parse_number() +2170 self._match(TokenType.OUT_OF) +2171 bucket_denominator = bucket_denominator = self._parse_number() +2172 self._match(TokenType.ON) +2173 bucket_field = self._parse_field() +2174 else: +2175 num = self._parse_number() +2176 +2177 if self._match(TokenType.PERCENT): +2178 percent = num +2179 elif self._match(TokenType.ROWS): +2180 rows = num +2181 else: +2182 size = num +2183 +2184 self._match_r_paren() +2185 +2186 if self._match(TokenType.SEED): +2187 seed = self._parse_wrapped(self._parse_number) +2188 +2189 return self.expression( +2190 exp.TableSample, +2191 method=method, +2192 bucket_numerator=bucket_numerator, +2193 bucket_denominator=bucket_denominator, +2194 bucket_field=bucket_field, +2195 percent=percent, +2196 rows=rows, +2197 size=size, +2198 seed=seed, +2199 ) +2200 +2201 def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]: +2202 return list(iter(self._parse_pivot, None)) 2203 -2204 if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False): -2205 pivot.set("alias", self._parse_table_alias()) +2204 def _parse_pivot(self) -> t.Optional[exp.Expression]: +2205 index = self._index 2206 -2207 return pivot -2208 -2209 def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]: -2210 if not skip_where_token and not self._match(TokenType.WHERE): -2211 return None -2212 -2213 return self.expression( -2214 exp.Where, comments=self._prev_comments, this=self._parse_conjunction() -2215 ) +2207 if self._match(TokenType.PIVOT): +2208 unpivot = False +2209 elif self._match(TokenType.UNPIVOT): +2210 unpivot = True +2211 else: +2212 return None +2213 +2214 expressions = [] +2215 field = None 2216 -2217 def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]: -2218 if not skip_group_by_token and not self._match(TokenType.GROUP_BY): +2217 if not self._match(TokenType.L_PAREN): +2218 self._retreat(index) 2219 return None 2220 -2221 elements = defaultdict(list) -2222 -2223 while True: -2224 expressions = self._parse_csv(self._parse_conjunction) -2225 if expressions: -2226 elements["expressions"].extend(expressions) -2227 -2228 grouping_sets = self._parse_grouping_sets() -2229 if grouping_sets: -2230 elements["grouping_sets"].extend(grouping_sets) -2231 -2232 rollup = None -2233 cube = None -2234 -2235 with_ = self._match(TokenType.WITH) -2236 if self._match(TokenType.ROLLUP): -2237 rollup = with_ or self._parse_wrapped_csv(self._parse_column) -2238 elements["rollup"].extend(ensure_list(rollup)) +2221 if unpivot: +2222 expressions = self._parse_csv(self._parse_column) +2223 else: +2224 expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function())) +2225 +2226 if not self._match(TokenType.FOR): +2227 self.raise_error("Expecting FOR") +2228 +2229 value = self._parse_column() +2230 +2231 if not self._match(TokenType.IN): +2232 self.raise_error("Expecting IN") +2233 +2234 field = self._parse_in(value) +2235 +2236 self._match_r_paren() +2237 +2238 pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot) 2239 -2240 if self._match(TokenType.CUBE): -2241 cube = with_ or self._parse_wrapped_csv(self._parse_column) -2242 elements["cube"].extend(ensure_list(cube)) -2243 -2244 if not (expressions or grouping_sets or rollup or cube): -2245 break -2246 -2247 return self.expression(exp.Group, **elements) # type: ignore +2240 if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False): +2241 pivot.set("alias", self._parse_table_alias()) +2242 +2243 return pivot +2244 +2245 def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]: +2246 if not skip_where_token and not self._match(TokenType.WHERE): +2247 return None 2248 -2249 def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -2250 if not self._match(TokenType.GROUPING_SETS): -2251 return None +2249 return self.expression( +2250 exp.Where, comments=self._prev_comments, this=self._parse_conjunction() +2251 ) 2252 -2253 return self._parse_wrapped_csv(self._parse_grouping_set) -2254 -2255 def _parse_grouping_set(self) -> t.Optional[exp.Expression]: -2256 if self._match(TokenType.L_PAREN): -2257 grouping_set = self._parse_csv(self._parse_column) -2258 self._match_r_paren() -2259 return self.expression(exp.Tuple, expressions=grouping_set) -2260 -2261 return self._parse_column() -2262 -2263 def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]: -2264 if not skip_having_token and not self._match(TokenType.HAVING): -2265 return None -2266 return self.expression(exp.Having, this=self._parse_conjunction()) +2253 def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]: +2254 if not skip_group_by_token and not self._match(TokenType.GROUP_BY): +2255 return None +2256 +2257 elements = defaultdict(list) +2258 +2259 while True: +2260 expressions = self._parse_csv(self._parse_conjunction) +2261 if expressions: +2262 elements["expressions"].extend(expressions) +2263 +2264 grouping_sets = self._parse_grouping_sets() +2265 if grouping_sets: +2266 elements["grouping_sets"].extend(grouping_sets) 2267 -2268 def _parse_qualify(self) -> t.Optional[exp.Expression]: -2269 if not self._match(TokenType.QUALIFY): -2270 return None -2271 return self.expression(exp.Qualify, this=self._parse_conjunction()) -2272 -2273 def _parse_order( -2274 self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False -2275 ) -> t.Optional[exp.Expression]: -2276 if not skip_order_token and not self._match(TokenType.ORDER_BY): -2277 return this -2278 -2279 return self.expression( -2280 exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered) -2281 ) +2268 rollup = None +2269 cube = None +2270 +2271 with_ = self._match(TokenType.WITH) +2272 if self._match(TokenType.ROLLUP): +2273 rollup = with_ or self._parse_wrapped_csv(self._parse_column) +2274 elements["rollup"].extend(ensure_list(rollup)) +2275 +2276 if self._match(TokenType.CUBE): +2277 cube = with_ or self._parse_wrapped_csv(self._parse_column) +2278 elements["cube"].extend(ensure_list(cube)) +2279 +2280 if not (expressions or grouping_sets or rollup or cube): +2281 break 2282 -2283 def _parse_sort( -2284 self, token_type: TokenType, exp_class: t.Type[exp.Expression] -2285 ) -> t.Optional[exp.Expression]: -2286 if not self._match(token_type): +2283 return self.expression(exp.Group, **elements) # type: ignore +2284 +2285 def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +2286 if not self._match(TokenType.GROUPING_SETS): 2287 return None -2288 return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered)) -2289 -2290 def _parse_ordered(self) -> exp.Expression: -2291 this = self._parse_conjunction() -2292 self._match(TokenType.ASC) -2293 is_desc = self._match(TokenType.DESC) -2294 is_nulls_first = self._match(TokenType.NULLS_FIRST) -2295 is_nulls_last = self._match(TokenType.NULLS_LAST) -2296 desc = is_desc or False -2297 asc = not desc -2298 nulls_first = is_nulls_first or False -2299 explicitly_null_ordered = is_nulls_first or is_nulls_last -2300 if ( -2301 not explicitly_null_ordered -2302 and ( -2303 (asc and self.null_ordering == "nulls_are_small") -2304 or (desc and self.null_ordering != "nulls_are_small") -2305 ) -2306 and self.null_ordering != "nulls_are_last" -2307 ): -2308 nulls_first = True -2309 -2310 return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first) -2311 -2312 def _parse_limit( -2313 self, this: t.Optional[exp.Expression] = None, top: bool = False -2314 ) -> t.Optional[exp.Expression]: -2315 if self._match(TokenType.TOP if top else TokenType.LIMIT): -2316 limit_paren = self._match(TokenType.L_PAREN) -2317 limit_exp = self.expression( -2318 exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term() -2319 ) -2320 -2321 if limit_paren: -2322 self._match_r_paren() -2323 -2324 return limit_exp +2288 +2289 return self._parse_wrapped_csv(self._parse_grouping_set) +2290 +2291 def _parse_grouping_set(self) -> t.Optional[exp.Expression]: +2292 if self._match(TokenType.L_PAREN): +2293 grouping_set = self._parse_csv(self._parse_column) +2294 self._match_r_paren() +2295 return self.expression(exp.Tuple, expressions=grouping_set) +2296 +2297 return self._parse_column() +2298 +2299 def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]: +2300 if not skip_having_token and not self._match(TokenType.HAVING): +2301 return None +2302 return self.expression(exp.Having, this=self._parse_conjunction()) +2303 +2304 def _parse_qualify(self) -> t.Optional[exp.Expression]: +2305 if not self._match(TokenType.QUALIFY): +2306 return None +2307 return self.expression(exp.Qualify, this=self._parse_conjunction()) +2308 +2309 def _parse_order( +2310 self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False +2311 ) -> t.Optional[exp.Expression]: +2312 if not skip_order_token and not self._match(TokenType.ORDER_BY): +2313 return this +2314 +2315 return self.expression( +2316 exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered) +2317 ) +2318 +2319 def _parse_sort( +2320 self, token_type: TokenType, exp_class: t.Type[exp.Expression] +2321 ) -> t.Optional[exp.Expression]: +2322 if not self._match(token_type): +2323 return None +2324 return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered)) 2325 -2326 if self._match(TokenType.FETCH): -2327 direction = self._match_set((TokenType.FIRST, TokenType.NEXT)) -2328 direction = self._prev.text if direction else "FIRST" -2329 count = self._parse_number() -2330 self._match_set((TokenType.ROW, TokenType.ROWS)) -2331 self._match(TokenType.ONLY) -2332 return self.expression(exp.Fetch, direction=direction, count=count) -2333 -2334 return this -2335 -2336 def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: -2337 if not self._match_set((TokenType.OFFSET, TokenType.COMMA)): -2338 return this -2339 -2340 count = self._parse_number() -2341 self._match_set((TokenType.ROW, TokenType.ROWS)) -2342 return self.expression(exp.Offset, this=this, expression=count) -2343 -2344 def _parse_lock(self) -> t.Optional[exp.Expression]: -2345 if self._match_text_seq("FOR", "UPDATE"): -2346 return self.expression(exp.Lock, update=True) -2347 if self._match_text_seq("FOR", "SHARE"): -2348 return self.expression(exp.Lock, update=False) -2349 -2350 return None -2351 -2352 def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2353 if not self._match_set(self.SET_OPERATIONS): -2354 return this -2355 -2356 token_type = self._prev.token_type -2357 -2358 if token_type == TokenType.UNION: -2359 expression = exp.Union -2360 elif token_type == TokenType.EXCEPT: -2361 expression = exp.Except -2362 else: -2363 expression = exp.Intersect -2364 -2365 return self.expression( -2366 expression, -2367 this=this, -2368 distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL), -2369 expression=self._parse_set_operations(self._parse_select(nested=True)), -2370 ) +2326 def _parse_ordered(self) -> exp.Expression: +2327 this = self._parse_conjunction() +2328 self._match(TokenType.ASC) +2329 is_desc = self._match(TokenType.DESC) +2330 is_nulls_first = self._match(TokenType.NULLS_FIRST) +2331 is_nulls_last = self._match(TokenType.NULLS_LAST) +2332 desc = is_desc or False +2333 asc = not desc +2334 nulls_first = is_nulls_first or False +2335 explicitly_null_ordered = is_nulls_first or is_nulls_last +2336 if ( +2337 not explicitly_null_ordered +2338 and ( +2339 (asc and self.null_ordering == "nulls_are_small") +2340 or (desc and self.null_ordering != "nulls_are_small") +2341 ) +2342 and self.null_ordering != "nulls_are_last" +2343 ): +2344 nulls_first = True +2345 +2346 return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first) +2347 +2348 def _parse_limit( +2349 self, this: t.Optional[exp.Expression] = None, top: bool = False +2350 ) -> t.Optional[exp.Expression]: +2351 if self._match(TokenType.TOP if top else TokenType.LIMIT): +2352 limit_paren = self._match(TokenType.L_PAREN) +2353 limit_exp = self.expression( +2354 exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term() +2355 ) +2356 +2357 if limit_paren: +2358 self._match_r_paren() +2359 +2360 return limit_exp +2361 +2362 if self._match(TokenType.FETCH): +2363 direction = self._match_set((TokenType.FIRST, TokenType.NEXT)) +2364 direction = self._prev.text if direction else "FIRST" +2365 count = self._parse_number() +2366 self._match_set((TokenType.ROW, TokenType.ROWS)) +2367 self._match(TokenType.ONLY) +2368 return self.expression(exp.Fetch, direction=direction, count=count) +2369 +2370 return this 2371 -2372 def _parse_expression(self) -> t.Optional[exp.Expression]: -2373 return self._parse_alias(self._parse_conjunction()) -2374 -2375 def _parse_conjunction(self) -> t.Optional[exp.Expression]: -2376 return self._parse_tokens(self._parse_equality, self.CONJUNCTION) -2377 -2378 def _parse_equality(self) -> t.Optional[exp.Expression]: -2379 return self._parse_tokens(self._parse_comparison, self.EQUALITY) -2380 -2381 def _parse_comparison(self) -> t.Optional[exp.Expression]: -2382 return self._parse_tokens(self._parse_range, self.COMPARISON) -2383 -2384 def _parse_range(self) -> t.Optional[exp.Expression]: -2385 this = self._parse_bitwise() -2386 negate = self._match(TokenType.NOT) +2372 def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: +2373 if not self._match_set((TokenType.OFFSET, TokenType.COMMA)): +2374 return this +2375 +2376 count = self._parse_number() +2377 self._match_set((TokenType.ROW, TokenType.ROWS)) +2378 return self.expression(exp.Offset, this=this, expression=count) +2379 +2380 def _parse_lock(self) -> t.Optional[exp.Expression]: +2381 if self._match_text_seq("FOR", "UPDATE"): +2382 return self.expression(exp.Lock, update=True) +2383 if self._match_text_seq("FOR", "SHARE"): +2384 return self.expression(exp.Lock, update=False) +2385 +2386 return None 2387 -2388 if self._match_set(self.RANGE_PARSERS): -2389 this = self.RANGE_PARSERS[self._prev.token_type](self, this) -2390 elif self._match(TokenType.ISNULL): -2391 this = self.expression(exp.Is, this=this, expression=exp.Null()) -2392 -2393 # Postgres supports ISNULL and NOTNULL for conditions. -2394 # https://blog.andreiavram.ro/postgresql-null-composite-type/ -2395 if self._match(TokenType.NOTNULL): -2396 this = self.expression(exp.Is, this=this, expression=exp.Null()) -2397 this = self.expression(exp.Not, this=this) -2398 -2399 if negate: -2400 this = self.expression(exp.Not, this=this) -2401 -2402 if self._match(TokenType.IS): -2403 this = self._parse_is(this) -2404 -2405 return this -2406 -2407 def _parse_is(self, this: t.Optional[exp.Expression]) -> exp.Expression: -2408 negate = self._match(TokenType.NOT) -2409 if self._match(TokenType.DISTINCT_FROM): -2410 klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ -2411 return self.expression(klass, this=this, expression=self._parse_expression()) -2412 -2413 this = self.expression( -2414 exp.Is, -2415 this=this, -2416 expression=self._parse_null() or self._parse_boolean(), -2417 ) -2418 return self.expression(exp.Not, this=this) if negate else this +2388 def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2389 if not self._match_set(self.SET_OPERATIONS): +2390 return this +2391 +2392 token_type = self._prev.token_type +2393 +2394 if token_type == TokenType.UNION: +2395 expression = exp.Union +2396 elif token_type == TokenType.EXCEPT: +2397 expression = exp.Except +2398 else: +2399 expression = exp.Intersect +2400 +2401 return self.expression( +2402 expression, +2403 this=this, +2404 distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL), +2405 expression=self._parse_set_operations(self._parse_select(nested=True)), +2406 ) +2407 +2408 def _parse_expression(self) -> t.Optional[exp.Expression]: +2409 return self._parse_alias(self._parse_conjunction()) +2410 +2411 def _parse_conjunction(self) -> t.Optional[exp.Expression]: +2412 return self._parse_tokens(self._parse_equality, self.CONJUNCTION) +2413 +2414 def _parse_equality(self) -> t.Optional[exp.Expression]: +2415 return self._parse_tokens(self._parse_comparison, self.EQUALITY) +2416 +2417 def _parse_comparison(self) -> t.Optional[exp.Expression]: +2418 return self._parse_tokens(self._parse_range, self.COMPARISON) 2419 -2420 def _parse_in(self, this: t.Optional[exp.Expression]) -> exp.Expression: -2421 unnest = self._parse_unnest() -2422 if unnest: -2423 this = self.expression(exp.In, this=this, unnest=unnest) -2424 elif self._match(TokenType.L_PAREN): -2425 expressions = self._parse_csv(self._parse_select_or_expression) -2426 -2427 if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable): -2428 this = self.expression(exp.In, this=this, query=expressions[0]) -2429 else: -2430 this = self.expression(exp.In, this=this, expressions=expressions) -2431 -2432 self._match_r_paren() -2433 else: -2434 this = self.expression(exp.In, this=this, field=self._parse_field()) -2435 -2436 return this +2420 def _parse_range(self) -> t.Optional[exp.Expression]: +2421 this = self._parse_bitwise() +2422 negate = self._match(TokenType.NOT) +2423 +2424 if self._match_set(self.RANGE_PARSERS): +2425 this = self.RANGE_PARSERS[self._prev.token_type](self, this) +2426 elif self._match(TokenType.ISNULL): +2427 this = self.expression(exp.Is, this=this, expression=exp.Null()) +2428 +2429 # Postgres supports ISNULL and NOTNULL for conditions. +2430 # https://blog.andreiavram.ro/postgresql-null-composite-type/ +2431 if self._match(TokenType.NOTNULL): +2432 this = self.expression(exp.Is, this=this, expression=exp.Null()) +2433 this = self.expression(exp.Not, this=this) +2434 +2435 if negate: +2436 this = self.expression(exp.Not, this=this) 2437 -2438 def _parse_between(self, this: exp.Expression) -> exp.Expression: -2439 low = self._parse_bitwise() -2440 self._match(TokenType.AND) -2441 high = self._parse_bitwise() -2442 return self.expression(exp.Between, this=this, low=low, high=high) -2443 -2444 def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2445 if not self._match(TokenType.ESCAPE): -2446 return this -2447 return self.expression(exp.Escape, this=this, expression=self._parse_string()) +2438 if self._match(TokenType.IS): +2439 this = self._parse_is(this) +2440 +2441 return this +2442 +2443 def _parse_is(self, this: t.Optional[exp.Expression]) -> exp.Expression: +2444 negate = self._match(TokenType.NOT) +2445 if self._match(TokenType.DISTINCT_FROM): +2446 klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ +2447 return self.expression(klass, this=this, expression=self._parse_expression()) 2448 -2449 def _parse_bitwise(self) -> t.Optional[exp.Expression]: -2450 this = self._parse_term() -2451 -2452 while True: -2453 if self._match_set(self.BITWISE): -2454 this = self.expression( -2455 self.BITWISE[self._prev.token_type], -2456 this=this, -2457 expression=self._parse_term(), -2458 ) -2459 elif self._match_pair(TokenType.LT, TokenType.LT): -2460 this = self.expression( -2461 exp.BitwiseLeftShift, this=this, expression=self._parse_term() -2462 ) -2463 elif self._match_pair(TokenType.GT, TokenType.GT): -2464 this = self.expression( -2465 exp.BitwiseRightShift, this=this, expression=self._parse_term() -2466 ) -2467 else: -2468 break -2469 -2470 return this +2449 this = self.expression( +2450 exp.Is, +2451 this=this, +2452 expression=self._parse_null() or self._parse_boolean(), +2453 ) +2454 return self.expression(exp.Not, this=this) if negate else this +2455 +2456 def _parse_in(self, this: t.Optional[exp.Expression]) -> exp.Expression: +2457 unnest = self._parse_unnest() +2458 if unnest: +2459 this = self.expression(exp.In, this=this, unnest=unnest) +2460 elif self._match(TokenType.L_PAREN): +2461 expressions = self._parse_csv(self._parse_select_or_expression) +2462 +2463 if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable): +2464 this = self.expression(exp.In, this=this, query=expressions[0]) +2465 else: +2466 this = self.expression(exp.In, this=this, expressions=expressions) +2467 +2468 self._match_r_paren() +2469 else: +2470 this = self.expression(exp.In, this=this, field=self._parse_field()) 2471 -2472 def _parse_term(self) -> t.Optional[exp.Expression]: -2473 return self._parse_tokens(self._parse_factor, self.TERM) -2474 -2475 def _parse_factor(self) -> t.Optional[exp.Expression]: -2476 return self._parse_tokens(self._parse_unary, self.FACTOR) -2477 -2478 def _parse_unary(self) -> t.Optional[exp.Expression]: -2479 if self._match_set(self.UNARY_PARSERS): -2480 return self.UNARY_PARSERS[self._prev.token_type](self) -2481 return self._parse_at_time_zone(self._parse_type()) -2482 -2483 def _parse_type(self) -> t.Optional[exp.Expression]: -2484 if self._match(TokenType.INTERVAL): -2485 return self.expression(exp.Interval, this=self._parse_term(), unit=self._parse_var()) -2486 -2487 index = self._index -2488 type_token = self._parse_types(check_func=True) -2489 this = self._parse_column() -2490 -2491 if type_token: -2492 if this and not isinstance(this, exp.Star): -2493 return self.expression(exp.Cast, this=this, to=type_token) -2494 if not type_token.args.get("expressions"): -2495 self._retreat(index) -2496 return self._parse_column() -2497 return type_token -2498 -2499 return this -2500 -2501 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: -2502 index = self._index -2503 -2504 prefix = self._match_text_seq("SYSUDTLIB", ".") +2472 return this +2473 +2474 def _parse_between(self, this: exp.Expression) -> exp.Expression: +2475 low = self._parse_bitwise() +2476 self._match(TokenType.AND) +2477 high = self._parse_bitwise() +2478 return self.expression(exp.Between, this=this, low=low, high=high) +2479 +2480 def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2481 if not self._match(TokenType.ESCAPE): +2482 return this +2483 return self.expression(exp.Escape, this=this, expression=self._parse_string()) +2484 +2485 def _parse_bitwise(self) -> t.Optional[exp.Expression]: +2486 this = self._parse_term() +2487 +2488 while True: +2489 if self._match_set(self.BITWISE): +2490 this = self.expression( +2491 self.BITWISE[self._prev.token_type], +2492 this=this, +2493 expression=self._parse_term(), +2494 ) +2495 elif self._match_pair(TokenType.LT, TokenType.LT): +2496 this = self.expression( +2497 exp.BitwiseLeftShift, this=this, expression=self._parse_term() +2498 ) +2499 elif self._match_pair(TokenType.GT, TokenType.GT): +2500 this = self.expression( +2501 exp.BitwiseRightShift, this=this, expression=self._parse_term() +2502 ) +2503 else: +2504 break 2505 -2506 if not self._match_set(self.TYPE_TOKENS): -2507 return None -2508 -2509 type_token = self._prev.token_type +2506 return this +2507 +2508 def _parse_term(self) -> t.Optional[exp.Expression]: +2509 return self._parse_tokens(self._parse_factor, self.TERM) 2510 -2511 if type_token == TokenType.PSEUDO_TYPE: -2512 return self.expression(exp.PseudoType, this=self._prev.text) +2511 def _parse_factor(self) -> t.Optional[exp.Expression]: +2512 return self._parse_tokens(self._parse_unary, self.FACTOR) 2513 -2514 nested = type_token in self.NESTED_TYPE_TOKENS -2515 is_struct = type_token == TokenType.STRUCT -2516 expressions = None -2517 maybe_func = False +2514 def _parse_unary(self) -> t.Optional[exp.Expression]: +2515 if self._match_set(self.UNARY_PARSERS): +2516 return self.UNARY_PARSERS[self._prev.token_type](self) +2517 return self._parse_at_time_zone(self._parse_type()) 2518 -2519 if self._match(TokenType.L_PAREN): -2520 if is_struct: -2521 expressions = self._parse_csv(self._parse_struct_kwargs) -2522 elif nested: -2523 expressions = self._parse_csv(self._parse_types) -2524 else: -2525 expressions = self._parse_csv(self._parse_conjunction) +2519 def _parse_type(self) -> t.Optional[exp.Expression]: +2520 if self._match(TokenType.INTERVAL): +2521 return self.expression(exp.Interval, this=self._parse_term(), unit=self._parse_var()) +2522 +2523 index = self._index +2524 type_token = self._parse_types(check_func=True) +2525 this = self._parse_column() 2526 -2527 if not expressions: -2528 self._retreat(index) -2529 return None -2530 -2531 self._match_r_paren() -2532 maybe_func = True -2533 -2534 if not nested and self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): -2535 this = exp.DataType( -2536 this=exp.DataType.Type.ARRAY, -2537 expressions=[exp.DataType.build(type_token.value, expressions=expressions)], -2538 nested=True, -2539 ) -2540 -2541 while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): -2542 this = exp.DataType( -2543 this=exp.DataType.Type.ARRAY, -2544 expressions=[this], -2545 nested=True, -2546 ) -2547 -2548 return this +2527 if type_token: +2528 if this and not isinstance(this, exp.Star): +2529 return self.expression(exp.Cast, this=this, to=type_token) +2530 if not type_token.args.get("expressions"): +2531 self._retreat(index) +2532 return self._parse_column() +2533 return type_token +2534 +2535 return this +2536 +2537 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: +2538 index = self._index +2539 +2540 prefix = self._match_text_seq("SYSUDTLIB", ".") +2541 +2542 if not self._match_set(self.TYPE_TOKENS): +2543 return None +2544 +2545 type_token = self._prev.token_type +2546 +2547 if type_token == TokenType.PSEUDO_TYPE: +2548 return self.expression(exp.PseudoType, this=self._prev.text) 2549 -2550 if self._match(TokenType.L_BRACKET): -2551 self._retreat(index) -2552 return None -2553 -2554 values: t.Optional[t.List[t.Optional[exp.Expression]]] = None -2555 if nested and self._match(TokenType.LT): +2550 nested = type_token in self.NESTED_TYPE_TOKENS +2551 is_struct = type_token == TokenType.STRUCT +2552 expressions = None +2553 maybe_func = False +2554 +2555 if self._match(TokenType.L_PAREN): 2556 if is_struct: 2557 expressions = self._parse_csv(self._parse_struct_kwargs) -2558 else: +2558 elif nested: 2559 expressions = self._parse_csv(self._parse_types) -2560 -2561 if not self._match(TokenType.GT): -2562 self.raise_error("Expecting >") -2563 -2564 if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)): -2565 values = self._parse_csv(self._parse_conjunction) -2566 self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN)) -2567 -2568 value: t.Optional[exp.Expression] = None -2569 if type_token in self.TIMESTAMPS: -2570 if self._match(TokenType.WITH_TIME_ZONE) or type_token == TokenType.TIMESTAMPTZ: -2571 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions) -2572 elif ( -2573 self._match(TokenType.WITH_LOCAL_TIME_ZONE) or type_token == TokenType.TIMESTAMPLTZ -2574 ): -2575 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions) -2576 elif self._match(TokenType.WITHOUT_TIME_ZONE): -2577 if type_token == TokenType.TIME: -2578 value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions) -2579 else: -2580 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) -2581 -2582 maybe_func = maybe_func and value is None +2560 else: +2561 expressions = self._parse_csv(self._parse_conjunction) +2562 +2563 if not expressions: +2564 self._retreat(index) +2565 return None +2566 +2567 self._match_r_paren() +2568 maybe_func = True +2569 +2570 if not nested and self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): +2571 this = exp.DataType( +2572 this=exp.DataType.Type.ARRAY, +2573 expressions=[exp.DataType.build(type_token.value, expressions=expressions)], +2574 nested=True, +2575 ) +2576 +2577 while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): +2578 this = exp.DataType( +2579 this=exp.DataType.Type.ARRAY, +2580 expressions=[this], +2581 nested=True, +2582 ) 2583 -2584 if value is None: -2585 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) -2586 elif type_token == TokenType.INTERVAL: -2587 value = self.expression(exp.Interval, unit=self._parse_var()) -2588 -2589 if maybe_func and check_func: -2590 index2 = self._index -2591 peek = self._parse_string() -2592 -2593 if not peek: -2594 self._retreat(index) -2595 return None +2584 return this +2585 +2586 if self._match(TokenType.L_BRACKET): +2587 self._retreat(index) +2588 return None +2589 +2590 values: t.Optional[t.List[t.Optional[exp.Expression]]] = None +2591 if nested and self._match(TokenType.LT): +2592 if is_struct: +2593 expressions = self._parse_csv(self._parse_struct_kwargs) +2594 else: +2595 expressions = self._parse_csv(self._parse_types) 2596 -2597 self._retreat(index2) -2598 -2599 if value: -2600 return value -2601 -2602 return exp.DataType( -2603 this=exp.DataType.Type[type_token.value.upper()], -2604 expressions=expressions, -2605 nested=nested, -2606 values=values, -2607 prefix=prefix, -2608 ) -2609 -2610 def _parse_struct_kwargs(self) -> t.Optional[exp.Expression]: -2611 if self._curr and self._curr.token_type in self.TYPE_TOKENS: -2612 return self._parse_types() -2613 -2614 this = self._parse_id_var() -2615 self._match(TokenType.COLON) -2616 data_type = self._parse_types() +2597 if not self._match(TokenType.GT): +2598 self.raise_error("Expecting >") +2599 +2600 if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)): +2601 values = self._parse_csv(self._parse_conjunction) +2602 self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN)) +2603 +2604 value: t.Optional[exp.Expression] = None +2605 if type_token in self.TIMESTAMPS: +2606 if self._match(TokenType.WITH_TIME_ZONE) or type_token == TokenType.TIMESTAMPTZ: +2607 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions) +2608 elif ( +2609 self._match(TokenType.WITH_LOCAL_TIME_ZONE) or type_token == TokenType.TIMESTAMPLTZ +2610 ): +2611 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions) +2612 elif self._match(TokenType.WITHOUT_TIME_ZONE): +2613 if type_token == TokenType.TIME: +2614 value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions) +2615 else: +2616 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) 2617 -2618 if not data_type: -2619 return None -2620 return self.expression(exp.StructKwarg, this=this, expression=data_type) -2621 -2622 def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2623 if not self._match(TokenType.AT_TIME_ZONE): -2624 return this -2625 return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary()) -2626 -2627 def _parse_column(self) -> t.Optional[exp.Expression]: -2628 this = self._parse_field() -2629 if isinstance(this, exp.Identifier): -2630 this = self.expression(exp.Column, this=this) -2631 elif not this: -2632 return self._parse_bracket(this) -2633 this = self._parse_bracket(this) +2618 maybe_func = maybe_func and value is None +2619 +2620 if value is None: +2621 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) +2622 elif type_token == TokenType.INTERVAL: +2623 value = self.expression(exp.Interval, unit=self._parse_var()) +2624 +2625 if maybe_func and check_func: +2626 index2 = self._index +2627 peek = self._parse_string() +2628 +2629 if not peek: +2630 self._retreat(index) +2631 return None +2632 +2633 self._retreat(index2) 2634 -2635 while self._match_set(self.COLUMN_OPERATORS): -2636 op_token = self._prev.token_type -2637 op = self.COLUMN_OPERATORS.get(op_token) -2638 -2639 if op_token == TokenType.DCOLON: -2640 field = self._parse_types() -2641 if not field: -2642 self.raise_error("Expected type") -2643 elif op: -2644 self._advance() -2645 value = self._prev.text -2646 field = ( -2647 exp.Literal.number(value) -2648 if self._prev.token_type == TokenType.NUMBER -2649 else exp.Literal.string(value) -2650 ) -2651 else: -2652 field = self._parse_star() or self._parse_function() or self._parse_id_var() +2635 if value: +2636 return value +2637 +2638 return exp.DataType( +2639 this=exp.DataType.Type[type_token.value.upper()], +2640 expressions=expressions, +2641 nested=nested, +2642 values=values, +2643 prefix=prefix, +2644 ) +2645 +2646 def _parse_struct_kwargs(self) -> t.Optional[exp.Expression]: +2647 if self._curr and self._curr.token_type in self.TYPE_TOKENS: +2648 return self._parse_types() +2649 +2650 this = self._parse_id_var() +2651 self._match(TokenType.COLON) +2652 data_type = self._parse_types() 2653 -2654 if isinstance(field, exp.Func): -2655 # bigquery allows function calls like x.y.count(...) -2656 # SAFE.SUBSTR(...) -2657 # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules -2658 this = self._replace_columns_with_dots(this) -2659 -2660 if op: -2661 this = op(self, this, field) -2662 elif isinstance(this, exp.Column) and not this.args.get("catalog"): -2663 this = self.expression( -2664 exp.Column, -2665 this=field, -2666 table=this.this, -2667 db=this.args.get("table"), -2668 catalog=this.args.get("db"), -2669 ) -2670 else: -2671 this = self.expression(exp.Dot, this=this, expression=field) -2672 this = self._parse_bracket(this) -2673 -2674 return this -2675 -2676 def _parse_primary(self) -> t.Optional[exp.Expression]: -2677 if self._match_set(self.PRIMARY_PARSERS): -2678 token_type = self._prev.token_type -2679 primary = self.PRIMARY_PARSERS[token_type](self, self._prev) -2680 -2681 if token_type == TokenType.STRING: -2682 expressions = [primary] -2683 while self._match(TokenType.STRING): -2684 expressions.append(exp.Literal.string(self._prev.text)) -2685 if len(expressions) > 1: -2686 return self.expression(exp.Concat, expressions=expressions) -2687 return primary -2688 -2689 if self._match_pair(TokenType.DOT, TokenType.NUMBER): -2690 return exp.Literal.number(f"0.{self._prev.text}") -2691 -2692 if self._match(TokenType.L_PAREN): -2693 comments = self._prev_comments -2694 query = self._parse_select() +2654 if not data_type: +2655 return None +2656 return self.expression(exp.StructKwarg, this=this, expression=data_type) +2657 +2658 def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2659 if not self._match(TokenType.AT_TIME_ZONE): +2660 return this +2661 return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary()) +2662 +2663 def _parse_column(self) -> t.Optional[exp.Expression]: +2664 this = self._parse_field() +2665 if isinstance(this, exp.Identifier): +2666 this = self.expression(exp.Column, this=this) +2667 elif not this: +2668 return self._parse_bracket(this) +2669 this = self._parse_bracket(this) +2670 +2671 while self._match_set(self.COLUMN_OPERATORS): +2672 op_token = self._prev.token_type +2673 op = self.COLUMN_OPERATORS.get(op_token) +2674 +2675 if op_token == TokenType.DCOLON: +2676 field = self._parse_types() +2677 if not field: +2678 self.raise_error("Expected type") +2679 elif op: +2680 self._advance() +2681 value = self._prev.text +2682 field = ( +2683 exp.Literal.number(value) +2684 if self._prev.token_type == TokenType.NUMBER +2685 else exp.Literal.string(value) +2686 ) +2687 else: +2688 field = self._parse_star() or self._parse_function() or self._parse_id_var() +2689 +2690 if isinstance(field, exp.Func): +2691 # bigquery allows function calls like x.y.count(...) +2692 # SAFE.SUBSTR(...) +2693 # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules +2694 this = self._replace_columns_with_dots(this) 2695 -2696 if query: -2697 expressions = [query] -2698 else: -2699 expressions = self._parse_csv( -2700 lambda: self._parse_alias(self._parse_conjunction(), explicit=True) -2701 ) -2702 -2703 this = seq_get(expressions, 0) -2704 self._parse_query_modifiers(this) -2705 self._match_r_paren() -2706 -2707 if isinstance(this, exp.Subqueryable): -2708 this = self._parse_set_operations( -2709 self._parse_subquery(this=this, parse_alias=False) -2710 ) -2711 elif len(expressions) > 1: -2712 this = self.expression(exp.Tuple, expressions=expressions) -2713 else: -2714 this = self.expression(exp.Paren, this=this) -2715 -2716 if this and comments: -2717 this.comments = comments -2718 -2719 return this -2720 -2721 return None -2722 -2723 def _parse_field(self, any_token: bool = False) -> t.Optional[exp.Expression]: -2724 return self._parse_primary() or self._parse_function() or self._parse_id_var(any_token) -2725 -2726 def _parse_function( -2727 self, functions: t.Optional[t.Dict[str, t.Callable]] = None -2728 ) -> t.Optional[exp.Expression]: -2729 if not self._curr: -2730 return None +2696 if op: +2697 this = op(self, this, field) +2698 elif isinstance(this, exp.Column) and not this.args.get("catalog"): +2699 this = self.expression( +2700 exp.Column, +2701 this=field, +2702 table=this.this, +2703 db=this.args.get("table"), +2704 catalog=this.args.get("db"), +2705 ) +2706 else: +2707 this = self.expression(exp.Dot, this=this, expression=field) +2708 this = self._parse_bracket(this) +2709 +2710 return this +2711 +2712 def _parse_primary(self) -> t.Optional[exp.Expression]: +2713 if self._match_set(self.PRIMARY_PARSERS): +2714 token_type = self._prev.token_type +2715 primary = self.PRIMARY_PARSERS[token_type](self, self._prev) +2716 +2717 if token_type == TokenType.STRING: +2718 expressions = [primary] +2719 while self._match(TokenType.STRING): +2720 expressions.append(exp.Literal.string(self._prev.text)) +2721 if len(expressions) > 1: +2722 return self.expression(exp.Concat, expressions=expressions) +2723 return primary +2724 +2725 if self._match_pair(TokenType.DOT, TokenType.NUMBER): +2726 return exp.Literal.number(f"0.{self._prev.text}") +2727 +2728 if self._match(TokenType.L_PAREN): +2729 comments = self._prev_comments +2730 query = self._parse_select() 2731 -2732 token_type = self._curr.token_type -2733 -2734 if self._match_set(self.NO_PAREN_FUNCTION_PARSERS): -2735 return self.NO_PAREN_FUNCTION_PARSERS[token_type](self) -2736 -2737 if not self._next or self._next.token_type != TokenType.L_PAREN: -2738 if token_type in self.NO_PAREN_FUNCTIONS: -2739 self._advance() -2740 return self.expression(self.NO_PAREN_FUNCTIONS[token_type]) -2741 -2742 return None -2743 -2744 if token_type not in self.FUNC_TOKENS: -2745 return None -2746 -2747 this = self._curr.text -2748 upper = this.upper() -2749 self._advance(2) -2750 -2751 parser = self.FUNCTION_PARSERS.get(upper) -2752 -2753 if parser: -2754 this = parser(self) -2755 else: -2756 subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type) -2757 -2758 if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH): -2759 this = self.expression(subquery_predicate, this=self._parse_select()) -2760 self._match_r_paren() -2761 return this -2762 -2763 if functions is None: -2764 functions = self.FUNCTIONS -2765 -2766 function = functions.get(upper) -2767 args = self._parse_csv(self._parse_lambda) -2768 -2769 if function: -2770 # Clickhouse supports function calls like foo(x, y)(z), so for these we need to also parse the -2771 # second parameter list (i.e. "(z)") and the corresponding function will receive both arg lists. -2772 if count_params(function) == 2: -2773 params = None -2774 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): -2775 params = self._parse_csv(self._parse_lambda) -2776 -2777 this = function(args, params) -2778 else: -2779 this = function(args) -2780 -2781 self.validate_expression(this, args) -2782 else: -2783 this = self.expression(exp.Anonymous, this=this, expressions=args) -2784 -2785 self._match_r_paren(this) -2786 return self._parse_window(this) -2787 -2788 def _parse_function_parameter(self) -> t.Optional[exp.Expression]: -2789 return self._parse_column_def(self._parse_id_var()) -2790 -2791 def _parse_user_defined_function( -2792 self, kind: t.Optional[TokenType] = None -2793 ) -> t.Optional[exp.Expression]: -2794 this = self._parse_id_var() -2795 -2796 while self._match(TokenType.DOT): -2797 this = self.expression(exp.Dot, this=this, expression=self._parse_id_var()) +2732 if query: +2733 expressions = [query] +2734 else: +2735 expressions = self._parse_csv( +2736 lambda: self._parse_alias(self._parse_conjunction(), explicit=True) +2737 ) +2738 +2739 this = seq_get(expressions, 0) +2740 self._parse_query_modifiers(this) +2741 self._match_r_paren() +2742 +2743 if isinstance(this, exp.Subqueryable): +2744 this = self._parse_set_operations( +2745 self._parse_subquery(this=this, parse_alias=False) +2746 ) +2747 elif len(expressions) > 1: +2748 this = self.expression(exp.Tuple, expressions=expressions) +2749 else: +2750 this = self.expression(exp.Paren, this=this) +2751 +2752 if this and comments: +2753 this.comments = comments +2754 +2755 return this +2756 +2757 return None +2758 +2759 def _parse_field(self, any_token: bool = False) -> t.Optional[exp.Expression]: +2760 return self._parse_primary() or self._parse_function() or self._parse_id_var(any_token) +2761 +2762 def _parse_function( +2763 self, functions: t.Optional[t.Dict[str, t.Callable]] = None +2764 ) -> t.Optional[exp.Expression]: +2765 if not self._curr: +2766 return None +2767 +2768 token_type = self._curr.token_type +2769 +2770 if self._match_set(self.NO_PAREN_FUNCTION_PARSERS): +2771 return self.NO_PAREN_FUNCTION_PARSERS[token_type](self) +2772 +2773 if not self._next or self._next.token_type != TokenType.L_PAREN: +2774 if token_type in self.NO_PAREN_FUNCTIONS: +2775 self._advance() +2776 return self.expression(self.NO_PAREN_FUNCTIONS[token_type]) +2777 +2778 return None +2779 +2780 if token_type not in self.FUNC_TOKENS: +2781 return None +2782 +2783 this = self._curr.text +2784 upper = this.upper() +2785 self._advance(2) +2786 +2787 parser = self.FUNCTION_PARSERS.get(upper) +2788 +2789 if parser: +2790 this = parser(self) +2791 else: +2792 subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type) +2793 +2794 if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH): +2795 this = self.expression(subquery_predicate, this=self._parse_select()) +2796 self._match_r_paren() +2797 return this 2798 -2799 if not self._match(TokenType.L_PAREN): -2800 return this +2799 if functions is None: +2800 functions = self.FUNCTIONS 2801 -2802 expressions = self._parse_csv(self._parse_function_parameter) -2803 self._match_r_paren() -2804 return self.expression( -2805 exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True -2806 ) -2807 -2808 def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]: -2809 literal = self._parse_primary() -2810 if literal: -2811 return self.expression(exp.Introducer, this=token.text, expression=literal) +2802 function = functions.get(upper) +2803 args = self._parse_csv(self._parse_lambda) +2804 +2805 if function: +2806 # Clickhouse supports function calls like foo(x, y)(z), so for these we need to also parse the +2807 # second parameter list (i.e. "(z)") and the corresponding function will receive both arg lists. +2808 if count_params(function) == 2: +2809 params = None +2810 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): +2811 params = self._parse_csv(self._parse_lambda) 2812 -2813 return self.expression(exp.Identifier, this=token.text) -2814 -2815 def _parse_national(self, token: Token) -> exp.Expression: -2816 return self.expression(exp.National, this=exp.Literal.string(token.text)) -2817 -2818 def _parse_session_parameter(self) -> exp.Expression: -2819 kind = None -2820 this = self._parse_id_var() or self._parse_primary() -2821 -2822 if this and self._match(TokenType.DOT): -2823 kind = this.name -2824 this = self._parse_var() or self._parse_primary() -2825 -2826 return self.expression(exp.SessionParameter, this=this, kind=kind) -2827 -2828 def _parse_lambda(self) -> t.Optional[exp.Expression]: -2829 index = self._index -2830 -2831 if self._match(TokenType.L_PAREN): -2832 expressions = self._parse_csv(self._parse_id_var) -2833 -2834 if not self._match(TokenType.R_PAREN): -2835 self._retreat(index) -2836 else: -2837 expressions = [self._parse_id_var()] -2838 -2839 if self._match_set(self.LAMBDAS): -2840 return self.LAMBDAS[self._prev.token_type](self, expressions) -2841 -2842 self._retreat(index) +2813 this = function(args, params) +2814 else: +2815 this = function(args) +2816 +2817 self.validate_expression(this, args) +2818 else: +2819 this = self.expression(exp.Anonymous, this=this, expressions=args) +2820 +2821 self._match_r_paren(this) +2822 return self._parse_window(this) +2823 +2824 def _parse_function_parameter(self) -> t.Optional[exp.Expression]: +2825 return self._parse_column_def(self._parse_id_var()) +2826 +2827 def _parse_user_defined_function( +2828 self, kind: t.Optional[TokenType] = None +2829 ) -> t.Optional[exp.Expression]: +2830 this = self._parse_id_var() +2831 +2832 while self._match(TokenType.DOT): +2833 this = self.expression(exp.Dot, this=this, expression=self._parse_id_var()) +2834 +2835 if not self._match(TokenType.L_PAREN): +2836 return this +2837 +2838 expressions = self._parse_csv(self._parse_function_parameter) +2839 self._match_r_paren() +2840 return self.expression( +2841 exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True +2842 ) 2843 -2844 this: t.Optional[exp.Expression] -2845 -2846 if self._match(TokenType.DISTINCT): -2847 this = self.expression( -2848 exp.Distinct, expressions=self._parse_csv(self._parse_conjunction) -2849 ) -2850 else: -2851 this = self._parse_select_or_expression() -2852 -2853 if self._match(TokenType.IGNORE_NULLS): -2854 this = self.expression(exp.IgnoreNulls, this=this) -2855 else: -2856 self._match(TokenType.RESPECT_NULLS) +2844 def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]: +2845 literal = self._parse_primary() +2846 if literal: +2847 return self.expression(exp.Introducer, this=token.text, expression=literal) +2848 +2849 return self.expression(exp.Identifier, this=token.text) +2850 +2851 def _parse_national(self, token: Token) -> exp.Expression: +2852 return self.expression(exp.National, this=exp.Literal.string(token.text)) +2853 +2854 def _parse_session_parameter(self) -> exp.Expression: +2855 kind = None +2856 this = self._parse_id_var() or self._parse_primary() 2857 -2858 return self._parse_limit(self._parse_order(this)) -2859 -2860 def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: -2861 index = self._index -2862 if not self._match(TokenType.L_PAREN) or self._match(TokenType.SELECT): -2863 self._retreat(index) -2864 return this -2865 -2866 args = self._parse_csv( -2867 lambda: self._parse_constraint() -2868 or self._parse_column_def(self._parse_field(any_token=True)) -2869 ) -2870 self._match_r_paren() -2871 return self.expression(exp.Schema, this=this, expressions=args) -2872 -2873 def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2874 kind = self._parse_types() -2875 -2876 if self._match_text_seq("FOR", "ORDINALITY"): -2877 return self.expression(exp.ColumnDef, this=this, ordinality=True) -2878 -2879 constraints = [] -2880 while True: -2881 constraint = self._parse_column_constraint() -2882 if not constraint: -2883 break -2884 constraints.append(constraint) -2885 -2886 if not kind and not constraints: -2887 return this +2858 if this and self._match(TokenType.DOT): +2859 kind = this.name +2860 this = self._parse_var() or self._parse_primary() +2861 +2862 return self.expression(exp.SessionParameter, this=this, kind=kind) +2863 +2864 def _parse_lambda(self) -> t.Optional[exp.Expression]: +2865 index = self._index +2866 +2867 if self._match(TokenType.L_PAREN): +2868 expressions = self._parse_csv(self._parse_id_var) +2869 +2870 if not self._match(TokenType.R_PAREN): +2871 self._retreat(index) +2872 else: +2873 expressions = [self._parse_id_var()] +2874 +2875 if self._match_set(self.LAMBDAS): +2876 return self.LAMBDAS[self._prev.token_type](self, expressions) +2877 +2878 self._retreat(index) +2879 +2880 this: t.Optional[exp.Expression] +2881 +2882 if self._match(TokenType.DISTINCT): +2883 this = self.expression( +2884 exp.Distinct, expressions=self._parse_csv(self._parse_conjunction) +2885 ) +2886 else: +2887 this = self._parse_select_or_expression() 2888 -2889 return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints) -2890 -2891 def _parse_auto_increment(self) -> exp.Expression: -2892 start = None -2893 increment = None -2894 -2895 if self._match(TokenType.L_PAREN, advance=False): -2896 args = self._parse_wrapped_csv(self._parse_bitwise) -2897 start = seq_get(args, 0) -2898 increment = seq_get(args, 1) -2899 elif self._match_text_seq("START"): -2900 start = self._parse_bitwise() -2901 self._match_text_seq("INCREMENT") -2902 increment = self._parse_bitwise() -2903 -2904 if start and increment: -2905 return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment) -2906 -2907 return exp.AutoIncrementColumnConstraint() +2889 if self._match(TokenType.IGNORE_NULLS): +2890 this = self.expression(exp.IgnoreNulls, this=this) +2891 else: +2892 self._match(TokenType.RESPECT_NULLS) +2893 +2894 return self._parse_limit(self._parse_order(this)) +2895 +2896 def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: +2897 index = self._index +2898 if not self._match(TokenType.L_PAREN) or self._match(TokenType.SELECT): +2899 self._retreat(index) +2900 return this +2901 +2902 args = self._parse_csv( +2903 lambda: self._parse_constraint() +2904 or self._parse_column_def(self._parse_field(any_token=True)) +2905 ) +2906 self._match_r_paren() +2907 return self.expression(exp.Schema, this=this, expressions=args) 2908 -2909 def _parse_compress(self) -> exp.Expression: -2910 if self._match(TokenType.L_PAREN, advance=False): -2911 return self.expression( -2912 exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise) -2913 ) +2909 def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2910 kind = self._parse_types() +2911 +2912 if self._match_text_seq("FOR", "ORDINALITY"): +2913 return self.expression(exp.ColumnDef, this=this, ordinality=True) 2914 -2915 return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise()) -2916 -2917 def _parse_generated_as_identity(self) -> exp.Expression: -2918 if self._match(TokenType.BY_DEFAULT): -2919 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=False) -2920 else: -2921 self._match_text_seq("ALWAYS") -2922 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True) -2923 -2924 self._match_text_seq("AS", "IDENTITY") -2925 if self._match(TokenType.L_PAREN): -2926 if self._match_text_seq("START", "WITH"): -2927 this.set("start", self._parse_bitwise()) -2928 if self._match_text_seq("INCREMENT", "BY"): -2929 this.set("increment", self._parse_bitwise()) -2930 if self._match_text_seq("MINVALUE"): -2931 this.set("minvalue", self._parse_bitwise()) -2932 if self._match_text_seq("MAXVALUE"): -2933 this.set("maxvalue", self._parse_bitwise()) -2934 -2935 if self._match_text_seq("CYCLE"): -2936 this.set("cycle", True) -2937 elif self._match_text_seq("NO", "CYCLE"): -2938 this.set("cycle", False) +2915 constraints = [] +2916 while True: +2917 constraint = self._parse_column_constraint() +2918 if not constraint: +2919 break +2920 constraints.append(constraint) +2921 +2922 if not kind and not constraints: +2923 return this +2924 +2925 return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints) +2926 +2927 def _parse_auto_increment(self) -> exp.Expression: +2928 start = None +2929 increment = None +2930 +2931 if self._match(TokenType.L_PAREN, advance=False): +2932 args = self._parse_wrapped_csv(self._parse_bitwise) +2933 start = seq_get(args, 0) +2934 increment = seq_get(args, 1) +2935 elif self._match_text_seq("START"): +2936 start = self._parse_bitwise() +2937 self._match_text_seq("INCREMENT") +2938 increment = self._parse_bitwise() 2939 -2940 self._match_r_paren() -2941 -2942 return this -2943 -2944 def _parse_inline(self) -> t.Optional[exp.Expression]: -2945 self._match_text_seq("LENGTH") -2946 return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise()) -2947 -2948 def _parse_not_constraint(self) -> t.Optional[exp.Expression]: -2949 if self._match_text_seq("NULL"): -2950 return self.expression(exp.NotNullColumnConstraint) -2951 if self._match_text_seq("CASESPECIFIC"): -2952 return self.expression(exp.CaseSpecificColumnConstraint, not_=True) -2953 return None -2954 -2955 def _parse_column_constraint(self) -> t.Optional[exp.Expression]: -2956 this = self._parse_references() -2957 if this: -2958 return this +2940 if start and increment: +2941 return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment) +2942 +2943 return exp.AutoIncrementColumnConstraint() +2944 +2945 def _parse_compress(self) -> exp.Expression: +2946 if self._match(TokenType.L_PAREN, advance=False): +2947 return self.expression( +2948 exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise) +2949 ) +2950 +2951 return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise()) +2952 +2953 def _parse_generated_as_identity(self) -> exp.Expression: +2954 if self._match(TokenType.BY_DEFAULT): +2955 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=False) +2956 else: +2957 self._match_text_seq("ALWAYS") +2958 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True) 2959 -2960 if self._match(TokenType.CONSTRAINT): -2961 this = self._parse_id_var() -2962 -2963 if self._match_texts(self.CONSTRAINT_PARSERS): -2964 return self.expression( -2965 exp.ColumnConstraint, -2966 this=this, -2967 kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self), -2968 ) -2969 -2970 return this -2971 -2972 def _parse_constraint(self) -> t.Optional[exp.Expression]: -2973 if not self._match(TokenType.CONSTRAINT): -2974 return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS) +2960 self._match_text_seq("AS", "IDENTITY") +2961 if self._match(TokenType.L_PAREN): +2962 if self._match_text_seq("START", "WITH"): +2963 this.set("start", self._parse_bitwise()) +2964 if self._match_text_seq("INCREMENT", "BY"): +2965 this.set("increment", self._parse_bitwise()) +2966 if self._match_text_seq("MINVALUE"): +2967 this.set("minvalue", self._parse_bitwise()) +2968 if self._match_text_seq("MAXVALUE"): +2969 this.set("maxvalue", self._parse_bitwise()) +2970 +2971 if self._match_text_seq("CYCLE"): +2972 this.set("cycle", True) +2973 elif self._match_text_seq("NO", "CYCLE"): +2974 this.set("cycle", False) 2975 -2976 this = self._parse_id_var() -2977 expressions = [] -2978 -2979 while True: -2980 constraint = self._parse_unnamed_constraint() or self._parse_function() -2981 if not constraint: -2982 break -2983 expressions.append(constraint) -2984 -2985 return self.expression(exp.Constraint, this=this, expressions=expressions) -2986 -2987 def _parse_unnamed_constraint( -2988 self, constraints: t.Optional[t.Collection[str]] = None -2989 ) -> t.Optional[exp.Expression]: -2990 if not self._match_texts(constraints or self.CONSTRAINT_PARSERS): -2991 return None -2992 -2993 constraint = self._prev.text.upper() -2994 if constraint not in self.CONSTRAINT_PARSERS: -2995 self.raise_error(f"No parser found for schema constraint {constraint}.") -2996 -2997 return self.CONSTRAINT_PARSERS[constraint](self) +2976 self._match_r_paren() +2977 +2978 return this +2979 +2980 def _parse_inline(self) -> t.Optional[exp.Expression]: +2981 self._match_text_seq("LENGTH") +2982 return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise()) +2983 +2984 def _parse_not_constraint(self) -> t.Optional[exp.Expression]: +2985 if self._match_text_seq("NULL"): +2986 return self.expression(exp.NotNullColumnConstraint) +2987 if self._match_text_seq("CASESPECIFIC"): +2988 return self.expression(exp.CaseSpecificColumnConstraint, not_=True) +2989 return None +2990 +2991 def _parse_column_constraint(self) -> t.Optional[exp.Expression]: +2992 this = self._parse_references() +2993 if this: +2994 return this +2995 +2996 if self._match(TokenType.CONSTRAINT): +2997 this = self._parse_id_var() 2998 -2999 def _parse_unique(self) -> exp.Expression: -3000 if not self._match(TokenType.L_PAREN, advance=False): -3001 return self.expression(exp.UniqueColumnConstraint) -3002 return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars()) -3003 -3004 def _parse_key_constraint_options(self) -> t.List[str]: -3005 options = [] -3006 while True: -3007 if not self._curr: -3008 break -3009 -3010 if self._match(TokenType.ON): -3011 action = None -3012 on = self._advance_any() and self._prev.text -3013 -3014 if self._match(TokenType.NO_ACTION): -3015 action = "NO ACTION" -3016 elif self._match(TokenType.CASCADE): -3017 action = "CASCADE" -3018 elif self._match_pair(TokenType.SET, TokenType.NULL): -3019 action = "SET NULL" -3020 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): -3021 action = "SET DEFAULT" -3022 else: -3023 self.raise_error("Invalid key constraint") -3024 -3025 options.append(f"ON {on} {action}") -3026 elif self._match_text_seq("NOT", "ENFORCED"): -3027 options.append("NOT ENFORCED") -3028 elif self._match_text_seq("DEFERRABLE"): -3029 options.append("DEFERRABLE") -3030 elif self._match_text_seq("INITIALLY", "DEFERRED"): -3031 options.append("INITIALLY DEFERRED") -3032 elif self._match_text_seq("NORELY"): -3033 options.append("NORELY") -3034 elif self._match_text_seq("MATCH", "FULL"): -3035 options.append("MATCH FULL") -3036 else: -3037 break -3038 -3039 return options -3040 -3041 def _parse_references(self) -> t.Optional[exp.Expression]: -3042 if not self._match(TokenType.REFERENCES): -3043 return None -3044 -3045 expressions = None -3046 this = self._parse_id_var() -3047 -3048 if self._match(TokenType.L_PAREN, advance=False): -3049 expressions = self._parse_wrapped_id_vars() -3050 -3051 options = self._parse_key_constraint_options() -3052 return self.expression(exp.Reference, this=this, expressions=expressions, options=options) -3053 -3054 def _parse_foreign_key(self) -> exp.Expression: -3055 expressions = self._parse_wrapped_id_vars() -3056 reference = self._parse_references() -3057 options = {} -3058 -3059 while self._match(TokenType.ON): -3060 if not self._match_set((TokenType.DELETE, TokenType.UPDATE)): -3061 self.raise_error("Expected DELETE or UPDATE") -3062 -3063 kind = self._prev.text.lower() -3064 -3065 if self._match(TokenType.NO_ACTION): -3066 action = "NO ACTION" -3067 elif self._match(TokenType.SET): -3068 self._match_set((TokenType.NULL, TokenType.DEFAULT)) -3069 action = "SET " + self._prev.text.upper() -3070 else: -3071 self._advance() -3072 action = self._prev.text.upper() -3073 -3074 options[kind] = action -3075 -3076 return self.expression( -3077 exp.ForeignKey, expressions=expressions, reference=reference, **options # type: ignore -3078 ) -3079 -3080 def _parse_primary_key(self) -> exp.Expression: -3081 desc = ( -3082 self._match_set((TokenType.ASC, TokenType.DESC)) -3083 and self._prev.token_type == TokenType.DESC -3084 ) -3085 -3086 if not self._match(TokenType.L_PAREN, advance=False): -3087 return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc) -3088 -3089 expressions = self._parse_wrapped_id_vars() -3090 options = self._parse_key_constraint_options() -3091 return self.expression(exp.PrimaryKey, expressions=expressions, options=options) -3092 -3093 def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -3094 if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)): -3095 return this -3096 -3097 bracket_kind = self._prev.token_type -3098 expressions: t.List[t.Optional[exp.Expression]] -3099 -3100 if self._match(TokenType.COLON): -3101 expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())] -3102 else: -3103 expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction())) -3104 -3105 # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs -3106 if bracket_kind == TokenType.L_BRACE: -3107 this = self.expression(exp.Struct, expressions=expressions) -3108 elif not this or this.name.upper() == "ARRAY": -3109 this = self.expression(exp.Array, expressions=expressions) -3110 else: -3111 expressions = apply_index_offset(expressions, -self.index_offset) -3112 this = self.expression(exp.Bracket, this=this, expressions=expressions) -3113 -3114 if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET: -3115 self.raise_error("Expected ]") -3116 elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE: -3117 self.raise_error("Expected }") -3118 -3119 this.comments = self._prev_comments -3120 return self._parse_bracket(this) +2999 if self._match_texts(self.CONSTRAINT_PARSERS): +3000 return self.expression( +3001 exp.ColumnConstraint, +3002 this=this, +3003 kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self), +3004 ) +3005 +3006 return this +3007 +3008 def _parse_constraint(self) -> t.Optional[exp.Expression]: +3009 if not self._match(TokenType.CONSTRAINT): +3010 return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS) +3011 +3012 this = self._parse_id_var() +3013 expressions = [] +3014 +3015 while True: +3016 constraint = self._parse_unnamed_constraint() or self._parse_function() +3017 if not constraint: +3018 break +3019 expressions.append(constraint) +3020 +3021 return self.expression(exp.Constraint, this=this, expressions=expressions) +3022 +3023 def _parse_unnamed_constraint( +3024 self, constraints: t.Optional[t.Collection[str]] = None +3025 ) -> t.Optional[exp.Expression]: +3026 if not self._match_texts(constraints or self.CONSTRAINT_PARSERS): +3027 return None +3028 +3029 constraint = self._prev.text.upper() +3030 if constraint not in self.CONSTRAINT_PARSERS: +3031 self.raise_error(f"No parser found for schema constraint {constraint}.") +3032 +3033 return self.CONSTRAINT_PARSERS[constraint](self) +3034 +3035 def _parse_unique(self) -> exp.Expression: +3036 if not self._match(TokenType.L_PAREN, advance=False): +3037 return self.expression(exp.UniqueColumnConstraint) +3038 return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars()) +3039 +3040 def _parse_key_constraint_options(self) -> t.List[str]: +3041 options = [] +3042 while True: +3043 if not self._curr: +3044 break +3045 +3046 if self._match(TokenType.ON): +3047 action = None +3048 on = self._advance_any() and self._prev.text +3049 +3050 if self._match(TokenType.NO_ACTION): +3051 action = "NO ACTION" +3052 elif self._match(TokenType.CASCADE): +3053 action = "CASCADE" +3054 elif self._match_pair(TokenType.SET, TokenType.NULL): +3055 action = "SET NULL" +3056 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): +3057 action = "SET DEFAULT" +3058 else: +3059 self.raise_error("Invalid key constraint") +3060 +3061 options.append(f"ON {on} {action}") +3062 elif self._match_text_seq("NOT", "ENFORCED"): +3063 options.append("NOT ENFORCED") +3064 elif self._match_text_seq("DEFERRABLE"): +3065 options.append("DEFERRABLE") +3066 elif self._match_text_seq("INITIALLY", "DEFERRED"): +3067 options.append("INITIALLY DEFERRED") +3068 elif self._match_text_seq("NORELY"): +3069 options.append("NORELY") +3070 elif self._match_text_seq("MATCH", "FULL"): +3071 options.append("MATCH FULL") +3072 else: +3073 break +3074 +3075 return options +3076 +3077 def _parse_references(self) -> t.Optional[exp.Expression]: +3078 if not self._match(TokenType.REFERENCES): +3079 return None +3080 +3081 expressions = None +3082 this = self._parse_id_var() +3083 +3084 if self._match(TokenType.L_PAREN, advance=False): +3085 expressions = self._parse_wrapped_id_vars() +3086 +3087 options = self._parse_key_constraint_options() +3088 return self.expression(exp.Reference, this=this, expressions=expressions, options=options) +3089 +3090 def _parse_foreign_key(self) -> exp.Expression: +3091 expressions = self._parse_wrapped_id_vars() +3092 reference = self._parse_references() +3093 options = {} +3094 +3095 while self._match(TokenType.ON): +3096 if not self._match_set((TokenType.DELETE, TokenType.UPDATE)): +3097 self.raise_error("Expected DELETE or UPDATE") +3098 +3099 kind = self._prev.text.lower() +3100 +3101 if self._match(TokenType.NO_ACTION): +3102 action = "NO ACTION" +3103 elif self._match(TokenType.SET): +3104 self._match_set((TokenType.NULL, TokenType.DEFAULT)) +3105 action = "SET " + self._prev.text.upper() +3106 else: +3107 self._advance() +3108 action = self._prev.text.upper() +3109 +3110 options[kind] = action +3111 +3112 return self.expression( +3113 exp.ForeignKey, expressions=expressions, reference=reference, **options # type: ignore +3114 ) +3115 +3116 def _parse_primary_key(self) -> exp.Expression: +3117 desc = ( +3118 self._match_set((TokenType.ASC, TokenType.DESC)) +3119 and self._prev.token_type == TokenType.DESC +3120 ) 3121 -3122 def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -3123 if self._match(TokenType.COLON): -3124 return self.expression(exp.Slice, this=this, expression=self._parse_conjunction()) -3125 return this -3126 -3127 def _parse_case(self) -> t.Optional[exp.Expression]: -3128 ifs = [] -3129 default = None -3130 -3131 expression = self._parse_conjunction() +3122 if not self._match(TokenType.L_PAREN, advance=False): +3123 return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc) +3124 +3125 expressions = self._parse_wrapped_id_vars() +3126 options = self._parse_key_constraint_options() +3127 return self.expression(exp.PrimaryKey, expressions=expressions, options=options) +3128 +3129 def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +3130 if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)): +3131 return this 3132 -3133 while self._match(TokenType.WHEN): -3134 this = self._parse_conjunction() -3135 self._match(TokenType.THEN) -3136 then = self._parse_conjunction() -3137 ifs.append(self.expression(exp.If, this=this, true=then)) -3138 -3139 if self._match(TokenType.ELSE): -3140 default = self._parse_conjunction() -3141 -3142 if not self._match(TokenType.END): -3143 self.raise_error("Expected END after CASE", self._prev) -3144 -3145 return self._parse_window( -3146 self.expression(exp.Case, this=expression, ifs=ifs, default=default) -3147 ) -3148 -3149 def _parse_if(self) -> t.Optional[exp.Expression]: -3150 if self._match(TokenType.L_PAREN): -3151 args = self._parse_csv(self._parse_conjunction) -3152 this = exp.If.from_arg_list(args) -3153 self.validate_expression(this, args) -3154 self._match_r_paren() -3155 else: -3156 condition = self._parse_conjunction() -3157 self._match(TokenType.THEN) -3158 true = self._parse_conjunction() -3159 false = self._parse_conjunction() if self._match(TokenType.ELSE) else None -3160 self._match(TokenType.END) -3161 this = self.expression(exp.If, this=condition, true=true, false=false) +3133 bracket_kind = self._prev.token_type +3134 expressions: t.List[t.Optional[exp.Expression]] +3135 +3136 if self._match(TokenType.COLON): +3137 expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())] +3138 else: +3139 expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction())) +3140 +3141 # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs +3142 if bracket_kind == TokenType.L_BRACE: +3143 this = self.expression(exp.Struct, expressions=expressions) +3144 elif not this or this.name.upper() == "ARRAY": +3145 this = self.expression(exp.Array, expressions=expressions) +3146 else: +3147 expressions = apply_index_offset(expressions, -self.index_offset) +3148 this = self.expression(exp.Bracket, this=this, expressions=expressions) +3149 +3150 if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET: +3151 self.raise_error("Expected ]") +3152 elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE: +3153 self.raise_error("Expected }") +3154 +3155 this.comments = self._prev_comments +3156 return self._parse_bracket(this) +3157 +3158 def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +3159 if self._match(TokenType.COLON): +3160 return self.expression(exp.Slice, this=this, expression=self._parse_conjunction()) +3161 return this 3162 -3163 return self._parse_window(this) -3164 -3165 def _parse_extract(self) -> exp.Expression: -3166 this = self._parse_function() or self._parse_var() or self._parse_type() -3167 -3168 if self._match(TokenType.FROM): -3169 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) -3170 -3171 if not self._match(TokenType.COMMA): -3172 self.raise_error("Expected FROM or comma after EXTRACT", self._prev) -3173 -3174 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) -3175 -3176 def _parse_cast(self, strict: bool) -> exp.Expression: -3177 this = self._parse_conjunction() -3178 -3179 if not self._match(TokenType.ALIAS): -3180 self.raise_error("Expected AS after CAST") -3181 -3182 to = self._parse_types() -3183 -3184 if not to: -3185 self.raise_error("Expected TYPE after CAST") -3186 elif to.this == exp.DataType.Type.CHAR: -3187 if self._match(TokenType.CHARACTER_SET): -3188 to = self.expression(exp.CharacterSet, this=self._parse_var_or_string()) -3189 -3190 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) -3191 -3192 def _parse_string_agg(self) -> exp.Expression: -3193 expression: t.Optional[exp.Expression] -3194 -3195 if self._match(TokenType.DISTINCT): -3196 args = self._parse_csv(self._parse_conjunction) -3197 expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)]) -3198 else: -3199 args = self._parse_csv(self._parse_conjunction) -3200 expression = seq_get(args, 0) -3201 -3202 index = self._index -3203 if not self._match(TokenType.R_PAREN): -3204 # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]]) -3205 order = self._parse_order(this=expression) -3206 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) -3207 -3208 # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]). -3209 # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that -3210 # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them. -3211 if not self._match(TokenType.WITHIN_GROUP): -3212 self._retreat(index) -3213 this = exp.GroupConcat.from_arg_list(args) -3214 self.validate_expression(this, args) -3215 return this -3216 -3217 self._match_l_paren() # The corresponding match_r_paren will be called in parse_function (caller) -3218 order = self._parse_order(this=expression) -3219 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) -3220 -3221 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: -3222 to: t.Optional[exp.Expression] -3223 this = self._parse_column() -3224 -3225 if self._match(TokenType.USING): -3226 to = self.expression(exp.CharacterSet, this=self._parse_var()) -3227 elif self._match(TokenType.COMMA): -3228 to = self._parse_types() -3229 else: -3230 to = None -3231 -3232 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) -3233 -3234 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: -3235 args = self._parse_csv(self._parse_bitwise) -3236 -3237 if self._match(TokenType.IN): -3238 return self.expression( -3239 exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0) -3240 ) -3241 -3242 if haystack_first: -3243 haystack = seq_get(args, 0) -3244 needle = seq_get(args, 1) -3245 else: -3246 needle = seq_get(args, 0) -3247 haystack = seq_get(args, 1) -3248 -3249 this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2)) -3250 -3251 self.validate_expression(this, args) +3163 def _parse_case(self) -> t.Optional[exp.Expression]: +3164 ifs = [] +3165 default = None +3166 +3167 expression = self._parse_conjunction() +3168 +3169 while self._match(TokenType.WHEN): +3170 this = self._parse_conjunction() +3171 self._match(TokenType.THEN) +3172 then = self._parse_conjunction() +3173 ifs.append(self.expression(exp.If, this=this, true=then)) +3174 +3175 if self._match(TokenType.ELSE): +3176 default = self._parse_conjunction() +3177 +3178 if not self._match(TokenType.END): +3179 self.raise_error("Expected END after CASE", self._prev) +3180 +3181 return self._parse_window( +3182 self.expression(exp.Case, this=expression, ifs=ifs, default=default) +3183 ) +3184 +3185 def _parse_if(self) -> t.Optional[exp.Expression]: +3186 if self._match(TokenType.L_PAREN): +3187 args = self._parse_csv(self._parse_conjunction) +3188 this = exp.If.from_arg_list(args) +3189 self.validate_expression(this, args) +3190 self._match_r_paren() +3191 else: +3192 condition = self._parse_conjunction() +3193 self._match(TokenType.THEN) +3194 true = self._parse_conjunction() +3195 false = self._parse_conjunction() if self._match(TokenType.ELSE) else None +3196 self._match(TokenType.END) +3197 this = self.expression(exp.If, this=condition, true=true, false=false) +3198 +3199 return self._parse_window(this) +3200 +3201 def _parse_extract(self) -> exp.Expression: +3202 this = self._parse_function() or self._parse_var() or self._parse_type() +3203 +3204 if self._match(TokenType.FROM): +3205 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) +3206 +3207 if not self._match(TokenType.COMMA): +3208 self.raise_error("Expected FROM or comma after EXTRACT", self._prev) +3209 +3210 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) +3211 +3212 def _parse_cast(self, strict: bool) -> exp.Expression: +3213 this = self._parse_conjunction() +3214 +3215 if not self._match(TokenType.ALIAS): +3216 self.raise_error("Expected AS after CAST") +3217 +3218 to = self._parse_types() +3219 +3220 if not to: +3221 self.raise_error("Expected TYPE after CAST") +3222 elif to.this == exp.DataType.Type.CHAR: +3223 if self._match(TokenType.CHARACTER_SET): +3224 to = self.expression(exp.CharacterSet, this=self._parse_var_or_string()) +3225 +3226 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) +3227 +3228 def _parse_string_agg(self) -> exp.Expression: +3229 expression: t.Optional[exp.Expression] +3230 +3231 if self._match(TokenType.DISTINCT): +3232 args = self._parse_csv(self._parse_conjunction) +3233 expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)]) +3234 else: +3235 args = self._parse_csv(self._parse_conjunction) +3236 expression = seq_get(args, 0) +3237 +3238 index = self._index +3239 if not self._match(TokenType.R_PAREN): +3240 # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]]) +3241 order = self._parse_order(this=expression) +3242 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) +3243 +3244 # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]). +3245 # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that +3246 # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them. +3247 if not self._match(TokenType.WITHIN_GROUP): +3248 self._retreat(index) +3249 this = exp.GroupConcat.from_arg_list(args) +3250 self.validate_expression(this, args) +3251 return this 3252 -3253 return this -3254 -3255 def _parse_join_hint(self, func_name: str) -> exp.Expression: -3256 args = self._parse_csv(self._parse_table) -3257 return exp.JoinHint(this=func_name.upper(), expressions=args) -3258 -3259 def _parse_substring(self) -> exp.Expression: -3260 # Postgres supports the form: substring(string [from int] [for int]) -3261 # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 -3262 -3263 args = self._parse_csv(self._parse_bitwise) -3264 -3265 if self._match(TokenType.FROM): -3266 args.append(self._parse_bitwise()) -3267 if self._match(TokenType.FOR): -3268 args.append(self._parse_bitwise()) +3253 self._match_l_paren() # The corresponding match_r_paren will be called in parse_function (caller) +3254 order = self._parse_order(this=expression) +3255 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) +3256 +3257 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: +3258 to: t.Optional[exp.Expression] +3259 this = self._parse_column() +3260 +3261 if self._match(TokenType.USING): +3262 to = self.expression(exp.CharacterSet, this=self._parse_var()) +3263 elif self._match(TokenType.COMMA): +3264 to = self._parse_types() +3265 else: +3266 to = None +3267 +3268 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) 3269 -3270 this = exp.Substring.from_arg_list(args) -3271 self.validate_expression(this, args) +3270 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: +3271 args = self._parse_csv(self._parse_bitwise) 3272 -3273 return this -3274 -3275 def _parse_trim(self) -> exp.Expression: -3276 # https://www.w3resource.com/sql/character-functions/trim.php -3277 # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html -3278 -3279 position = None -3280 collation = None -3281 -3282 if self._match_set(self.TRIM_TYPES): -3283 position = self._prev.text.upper() +3273 if self._match(TokenType.IN): +3274 return self.expression( +3275 exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0) +3276 ) +3277 +3278 if haystack_first: +3279 haystack = seq_get(args, 0) +3280 needle = seq_get(args, 1) +3281 else: +3282 needle = seq_get(args, 0) +3283 haystack = seq_get(args, 1) 3284 -3285 expression = self._parse_term() -3286 if self._match_set((TokenType.FROM, TokenType.COMMA)): -3287 this = self._parse_term() -3288 else: -3289 this = expression -3290 expression = None -3291 -3292 if self._match(TokenType.COLLATE): -3293 collation = self._parse_term() +3285 this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2)) +3286 +3287 self.validate_expression(this, args) +3288 +3289 return this +3290 +3291 def _parse_join_hint(self, func_name: str) -> exp.Expression: +3292 args = self._parse_csv(self._parse_table) +3293 return exp.JoinHint(this=func_name.upper(), expressions=args) 3294 -3295 return self.expression( -3296 exp.Trim, -3297 this=this, -3298 position=position, -3299 expression=expression, -3300 collation=collation, -3301 ) -3302 -3303 def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3304 return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window) +3295 def _parse_substring(self) -> exp.Expression: +3296 # Postgres supports the form: substring(string [from int] [for int]) +3297 # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 +3298 +3299 args = self._parse_csv(self._parse_bitwise) +3300 +3301 if self._match(TokenType.FROM): +3302 args.append(self._parse_bitwise()) +3303 if self._match(TokenType.FOR): +3304 args.append(self._parse_bitwise()) 3305 -3306 def _parse_named_window(self) -> t.Optional[exp.Expression]: -3307 return self._parse_window(self._parse_id_var(), alias=True) +3306 this = exp.Substring.from_arg_list(args) +3307 self.validate_expression(this, args) 3308 -3309 def _parse_window( -3310 self, this: t.Optional[exp.Expression], alias: bool = False -3311 ) -> t.Optional[exp.Expression]: -3312 if self._match(TokenType.FILTER): -3313 where = self._parse_wrapped(self._parse_where) -3314 this = self.expression(exp.Filter, this=this, expression=where) -3315 -3316 # T-SQL allows the OVER (...) syntax after WITHIN GROUP. -3317 # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16 -3318 if self._match(TokenType.WITHIN_GROUP): -3319 order = self._parse_wrapped(self._parse_order) -3320 this = self.expression(exp.WithinGroup, this=this, expression=order) -3321 -3322 # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER -3323 # Some dialects choose to implement and some do not. -3324 # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html -3325 -3326 # There is some code above in _parse_lambda that handles -3327 # SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ... -3328 -3329 # The below changes handle -3330 # SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ... -3331 -3332 # Oracle allows both formats -3333 # (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html) -3334 # and Snowflake chose to do the same for familiarity -3335 # https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes -3336 if self._match(TokenType.IGNORE_NULLS): -3337 this = self.expression(exp.IgnoreNulls, this=this) -3338 elif self._match(TokenType.RESPECT_NULLS): -3339 this = self.expression(exp.RespectNulls, this=this) -3340 -3341 # bigquery select from window x AS (partition by ...) -3342 if alias: -3343 self._match(TokenType.ALIAS) -3344 elif not self._match(TokenType.OVER): -3345 return this -3346 -3347 if not self._match(TokenType.L_PAREN): -3348 return self.expression(exp.Window, this=this, alias=self._parse_id_var(False)) -3349 -3350 window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS) -3351 partition = self._parse_partition_by() -3352 order = self._parse_order() -3353 kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text -3354 -3355 if kind: -3356 self._match(TokenType.BETWEEN) -3357 start = self._parse_window_spec() -3358 self._match(TokenType.AND) -3359 end = self._parse_window_spec() -3360 -3361 spec = self.expression( -3362 exp.WindowSpec, -3363 kind=kind, -3364 start=start["value"], -3365 start_side=start["side"], -3366 end=end["value"], -3367 end_side=end["side"], -3368 ) -3369 else: -3370 spec = None -3371 -3372 self._match_r_paren() -3373 -3374 return self.expression( -3375 exp.Window, -3376 this=this, -3377 partition_by=partition, -3378 order=order, -3379 spec=spec, -3380 alias=window_alias, -3381 ) +3309 return this +3310 +3311 def _parse_trim(self) -> exp.Expression: +3312 # https://www.w3resource.com/sql/character-functions/trim.php +3313 # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html +3314 +3315 position = None +3316 collation = None +3317 +3318 if self._match_set(self.TRIM_TYPES): +3319 position = self._prev.text.upper() +3320 +3321 expression = self._parse_term() +3322 if self._match_set((TokenType.FROM, TokenType.COMMA)): +3323 this = self._parse_term() +3324 else: +3325 this = expression +3326 expression = None +3327 +3328 if self._match(TokenType.COLLATE): +3329 collation = self._parse_term() +3330 +3331 return self.expression( +3332 exp.Trim, +3333 this=this, +3334 position=position, +3335 expression=expression, +3336 collation=collation, +3337 ) +3338 +3339 def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3340 return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window) +3341 +3342 def _parse_named_window(self) -> t.Optional[exp.Expression]: +3343 return self._parse_window(self._parse_id_var(), alias=True) +3344 +3345 def _parse_window( +3346 self, this: t.Optional[exp.Expression], alias: bool = False +3347 ) -> t.Optional[exp.Expression]: +3348 if self._match(TokenType.FILTER): +3349 where = self._parse_wrapped(self._parse_where) +3350 this = self.expression(exp.Filter, this=this, expression=where) +3351 +3352 # T-SQL allows the OVER (...) syntax after WITHIN GROUP. +3353 # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16 +3354 if self._match(TokenType.WITHIN_GROUP): +3355 order = self._parse_wrapped(self._parse_order) +3356 this = self.expression(exp.WithinGroup, this=this, expression=order) +3357 +3358 # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER +3359 # Some dialects choose to implement and some do not. +3360 # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html +3361 +3362 # There is some code above in _parse_lambda that handles +3363 # SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ... +3364 +3365 # The below changes handle +3366 # SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ... +3367 +3368 # Oracle allows both formats +3369 # (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html) +3370 # and Snowflake chose to do the same for familiarity +3371 # https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes +3372 if self._match(TokenType.IGNORE_NULLS): +3373 this = self.expression(exp.IgnoreNulls, this=this) +3374 elif self._match(TokenType.RESPECT_NULLS): +3375 this = self.expression(exp.RespectNulls, this=this) +3376 +3377 # bigquery select from window x AS (partition by ...) +3378 if alias: +3379 self._match(TokenType.ALIAS) +3380 elif not self._match(TokenType.OVER): +3381 return this 3382 -3383 def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]: -3384 self._match(TokenType.BETWEEN) +3383 if not self._match(TokenType.L_PAREN): +3384 return self.expression(exp.Window, this=this, alias=self._parse_id_var(False)) 3385 -3386 return { -3387 "value": ( -3388 self._match_set((TokenType.UNBOUNDED, TokenType.CURRENT_ROW)) and self._prev.text -3389 ) -3390 or self._parse_bitwise(), -3391 "side": self._match_set((TokenType.PRECEDING, TokenType.FOLLOWING)) and self._prev.text, -3392 } -3393 -3394 def _parse_alias( -3395 self, this: t.Optional[exp.Expression], explicit: bool = False -3396 ) -> t.Optional[exp.Expression]: -3397 any_token = self._match(TokenType.ALIAS) -3398 -3399 if explicit and not any_token: -3400 return this -3401 -3402 if self._match(TokenType.L_PAREN): -3403 aliases = self.expression( -3404 exp.Aliases, -3405 this=this, -3406 expressions=self._parse_csv(lambda: self._parse_id_var(any_token)), -3407 ) -3408 self._match_r_paren(aliases) -3409 return aliases -3410 -3411 alias = self._parse_id_var(any_token) -3412 -3413 if alias: -3414 return self.expression(exp.Alias, this=this, alias=alias) -3415 -3416 return this -3417 -3418 def _parse_id_var( -3419 self, -3420 any_token: bool = True, -3421 tokens: t.Optional[t.Collection[TokenType]] = None, -3422 prefix_tokens: t.Optional[t.Collection[TokenType]] = None, -3423 ) -> t.Optional[exp.Expression]: -3424 identifier = self._parse_identifier() -3425 -3426 if identifier: -3427 return identifier -3428 -3429 prefix = "" -3430 -3431 if prefix_tokens: -3432 while self._match_set(prefix_tokens): -3433 prefix += self._prev.text +3386 window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS) +3387 partition = self._parse_partition_by() +3388 order = self._parse_order() +3389 kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text +3390 +3391 if kind: +3392 self._match(TokenType.BETWEEN) +3393 start = self._parse_window_spec() +3394 self._match(TokenType.AND) +3395 end = self._parse_window_spec() +3396 +3397 spec = self.expression( +3398 exp.WindowSpec, +3399 kind=kind, +3400 start=start["value"], +3401 start_side=start["side"], +3402 end=end["value"], +3403 end_side=end["side"], +3404 ) +3405 else: +3406 spec = None +3407 +3408 self._match_r_paren() +3409 +3410 return self.expression( +3411 exp.Window, +3412 this=this, +3413 partition_by=partition, +3414 order=order, +3415 spec=spec, +3416 alias=window_alias, +3417 ) +3418 +3419 def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]: +3420 self._match(TokenType.BETWEEN) +3421 +3422 return { +3423 "value": ( +3424 self._match_set((TokenType.UNBOUNDED, TokenType.CURRENT_ROW)) and self._prev.text +3425 ) +3426 or self._parse_bitwise(), +3427 "side": self._match_set((TokenType.PRECEDING, TokenType.FOLLOWING)) and self._prev.text, +3428 } +3429 +3430 def _parse_alias( +3431 self, this: t.Optional[exp.Expression], explicit: bool = False +3432 ) -> t.Optional[exp.Expression]: +3433 any_token = self._match(TokenType.ALIAS) 3434 -3435 if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS): -3436 quoted = self._prev.token_type == TokenType.STRING -3437 return exp.Identifier(this=prefix + self._prev.text, quoted=quoted) -3438 -3439 return None -3440 -3441 def _parse_string(self) -> t.Optional[exp.Expression]: -3442 if self._match(TokenType.STRING): -3443 return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev) -3444 return self._parse_placeholder() -3445 -3446 def _parse_number(self) -> t.Optional[exp.Expression]: -3447 if self._match(TokenType.NUMBER): -3448 return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev) -3449 return self._parse_placeholder() -3450 -3451 def _parse_identifier(self) -> t.Optional[exp.Expression]: -3452 if self._match(TokenType.IDENTIFIER): -3453 return self.expression(exp.Identifier, this=self._prev.text, quoted=True) -3454 return self._parse_placeholder() -3455 -3456 def _parse_var(self, any_token: bool = False) -> t.Optional[exp.Expression]: -3457 if (any_token and self._advance_any()) or self._match(TokenType.VAR): -3458 return self.expression(exp.Var, this=self._prev.text) -3459 return self._parse_placeholder() -3460 -3461 def _advance_any(self) -> t.Optional[Token]: -3462 if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS: -3463 self._advance() -3464 return self._prev -3465 return None +3435 if explicit and not any_token: +3436 return this +3437 +3438 if self._match(TokenType.L_PAREN): +3439 aliases = self.expression( +3440 exp.Aliases, +3441 this=this, +3442 expressions=self._parse_csv(lambda: self._parse_id_var(any_token)), +3443 ) +3444 self._match_r_paren(aliases) +3445 return aliases +3446 +3447 alias = self._parse_id_var(any_token) +3448 +3449 if alias: +3450 return self.expression(exp.Alias, this=this, alias=alias) +3451 +3452 return this +3453 +3454 def _parse_id_var( +3455 self, +3456 any_token: bool = True, +3457 tokens: t.Optional[t.Collection[TokenType]] = None, +3458 prefix_tokens: t.Optional[t.Collection[TokenType]] = None, +3459 ) -> t.Optional[exp.Expression]: +3460 identifier = self._parse_identifier() +3461 +3462 if identifier: +3463 return identifier +3464 +3465 prefix = "" 3466 -3467 def _parse_var_or_string(self) -> t.Optional[exp.Expression]: -3468 return self._parse_var() or self._parse_string() -3469 -3470 def _parse_null(self) -> t.Optional[exp.Expression]: -3471 if self._match(TokenType.NULL): -3472 return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev) -3473 return None +3467 if prefix_tokens: +3468 while self._match_set(prefix_tokens): +3469 prefix += self._prev.text +3470 +3471 if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS): +3472 quoted = self._prev.token_type == TokenType.STRING +3473 return exp.Identifier(this=prefix + self._prev.text, quoted=quoted) 3474 -3475 def _parse_boolean(self) -> t.Optional[exp.Expression]: -3476 if self._match(TokenType.TRUE): -3477 return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev) -3478 if self._match(TokenType.FALSE): -3479 return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev) -3480 return None +3475 return None +3476 +3477 def _parse_string(self) -> t.Optional[exp.Expression]: +3478 if self._match(TokenType.STRING): +3479 return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev) +3480 return self._parse_placeholder() 3481 -3482 def _parse_star(self) -> t.Optional[exp.Expression]: -3483 if self._match(TokenType.STAR): -3484 return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev) -3485 return None +3482 def _parse_number(self) -> t.Optional[exp.Expression]: +3483 if self._match(TokenType.NUMBER): +3484 return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev) +3485 return self._parse_placeholder() 3486 -3487 def _parse_parameter(self) -> exp.Expression: -3488 wrapped = self._match(TokenType.L_BRACE) -3489 this = self._parse_var() or self._parse_primary() -3490 self._match(TokenType.R_BRACE) -3491 return self.expression(exp.Parameter, this=this, wrapped=wrapped) -3492 -3493 def _parse_placeholder(self) -> t.Optional[exp.Expression]: -3494 if self._match_set(self.PLACEHOLDER_PARSERS): -3495 placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self) -3496 if placeholder: -3497 return placeholder -3498 self._advance(-1) -3499 return None -3500 -3501 def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3502 if not self._match(TokenType.EXCEPT): -3503 return None -3504 if self._match(TokenType.L_PAREN, advance=False): -3505 return self._parse_wrapped_csv(self._parse_column) -3506 return self._parse_csv(self._parse_column) -3507 -3508 def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3509 if not self._match(TokenType.REPLACE): -3510 return None -3511 if self._match(TokenType.L_PAREN, advance=False): -3512 return self._parse_wrapped_csv(self._parse_expression) -3513 return self._parse_csv(self._parse_expression) -3514 -3515 def _parse_csv( -3516 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA -3517 ) -> t.List[t.Optional[exp.Expression]]: -3518 parse_result = parse_method() -3519 items = [parse_result] if parse_result is not None else [] -3520 -3521 while self._match(sep): -3522 if parse_result and self._prev_comments: -3523 parse_result.comments = self._prev_comments -3524 -3525 parse_result = parse_method() -3526 if parse_result is not None: -3527 items.append(parse_result) +3487 def _parse_identifier(self) -> t.Optional[exp.Expression]: +3488 if self._match(TokenType.IDENTIFIER): +3489 return self.expression(exp.Identifier, this=self._prev.text, quoted=True) +3490 return self._parse_placeholder() +3491 +3492 def _parse_var(self, any_token: bool = False) -> t.Optional[exp.Expression]: +3493 if (any_token and self._advance_any()) or self._match(TokenType.VAR): +3494 return self.expression(exp.Var, this=self._prev.text) +3495 return self._parse_placeholder() +3496 +3497 def _advance_any(self) -> t.Optional[Token]: +3498 if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS: +3499 self._advance() +3500 return self._prev +3501 return None +3502 +3503 def _parse_var_or_string(self) -> t.Optional[exp.Expression]: +3504 return self._parse_var() or self._parse_string() +3505 +3506 def _parse_null(self) -> t.Optional[exp.Expression]: +3507 if self._match(TokenType.NULL): +3508 return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev) +3509 return None +3510 +3511 def _parse_boolean(self) -> t.Optional[exp.Expression]: +3512 if self._match(TokenType.TRUE): +3513 return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev) +3514 if self._match(TokenType.FALSE): +3515 return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev) +3516 return None +3517 +3518 def _parse_star(self) -> t.Optional[exp.Expression]: +3519 if self._match(TokenType.STAR): +3520 return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev) +3521 return None +3522 +3523 def _parse_parameter(self) -> exp.Expression: +3524 wrapped = self._match(TokenType.L_BRACE) +3525 this = self._parse_var() or self._parse_primary() +3526 self._match(TokenType.R_BRACE) +3527 return self.expression(exp.Parameter, this=this, wrapped=wrapped) 3528 -3529 return items -3530 -3531 def _parse_tokens( -3532 self, parse_method: t.Callable, expressions: t.Dict -3533 ) -> t.Optional[exp.Expression]: -3534 this = parse_method() -3535 -3536 while self._match_set(expressions): -3537 this = self.expression( -3538 expressions[self._prev.token_type], -3539 this=this, -3540 comments=self._prev_comments, -3541 expression=parse_method(), -3542 ) +3529 def _parse_placeholder(self) -> t.Optional[exp.Expression]: +3530 if self._match_set(self.PLACEHOLDER_PARSERS): +3531 placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self) +3532 if placeholder: +3533 return placeholder +3534 self._advance(-1) +3535 return None +3536 +3537 def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3538 if not self._match(TokenType.EXCEPT): +3539 return None +3540 if self._match(TokenType.L_PAREN, advance=False): +3541 return self._parse_wrapped_csv(self._parse_column) +3542 return self._parse_csv(self._parse_column) 3543 -3544 return this -3545 -3546 def _parse_wrapped_id_vars(self) -> t.List[t.Optional[exp.Expression]]: -3547 return self._parse_wrapped_csv(self._parse_id_var) -3548 -3549 def _parse_wrapped_csv( -3550 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA -3551 ) -> t.List[t.Optional[exp.Expression]]: -3552 return self._parse_wrapped(lambda: self._parse_csv(parse_method, sep=sep)) -3553 -3554 def _parse_wrapped(self, parse_method: t.Callable) -> t.Any: -3555 self._match_l_paren() -3556 parse_result = parse_method() -3557 self._match_r_paren() -3558 return parse_result -3559 -3560 def _parse_select_or_expression(self) -> t.Optional[exp.Expression]: -3561 return self._parse_select() or self._parse_expression() -3562 -3563 def _parse_ddl_select(self) -> t.Optional[exp.Expression]: -3564 return self._parse_set_operations( -3565 self._parse_select(nested=True, parse_subquery_alias=False) -3566 ) -3567 -3568 def _parse_transaction(self) -> exp.Expression: -3569 this = None -3570 if self._match_texts(self.TRANSACTION_KIND): -3571 this = self._prev.text -3572 -3573 self._match_texts({"TRANSACTION", "WORK"}) -3574 -3575 modes = [] -3576 while True: -3577 mode = [] -3578 while self._match(TokenType.VAR): -3579 mode.append(self._prev.text) -3580 -3581 if mode: -3582 modes.append(" ".join(mode)) -3583 if not self._match(TokenType.COMMA): -3584 break -3585 -3586 return self.expression(exp.Transaction, this=this, modes=modes) -3587 -3588 def _parse_commit_or_rollback(self) -> exp.Expression: -3589 chain = None -3590 savepoint = None -3591 is_rollback = self._prev.token_type == TokenType.ROLLBACK -3592 -3593 self._match_texts({"TRANSACTION", "WORK"}) -3594 -3595 if self._match_text_seq("TO"): -3596 self._match_text_seq("SAVEPOINT") -3597 savepoint = self._parse_id_var() +3544 def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3545 if not self._match(TokenType.REPLACE): +3546 return None +3547 if self._match(TokenType.L_PAREN, advance=False): +3548 return self._parse_wrapped_csv(self._parse_expression) +3549 return self._parse_csv(self._parse_expression) +3550 +3551 def _parse_csv( +3552 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA +3553 ) -> t.List[t.Optional[exp.Expression]]: +3554 parse_result = parse_method() +3555 items = [parse_result] if parse_result is not None else [] +3556 +3557 while self._match(sep): +3558 if parse_result and self._prev_comments: +3559 parse_result.comments = self._prev_comments +3560 +3561 parse_result = parse_method() +3562 if parse_result is not None: +3563 items.append(parse_result) +3564 +3565 return items +3566 +3567 def _parse_tokens( +3568 self, parse_method: t.Callable, expressions: t.Dict +3569 ) -> t.Optional[exp.Expression]: +3570 this = parse_method() +3571 +3572 while self._match_set(expressions): +3573 this = self.expression( +3574 expressions[self._prev.token_type], +3575 this=this, +3576 comments=self._prev_comments, +3577 expression=parse_method(), +3578 ) +3579 +3580 return this +3581 +3582 def _parse_wrapped_id_vars(self) -> t.List[t.Optional[exp.Expression]]: +3583 return self._parse_wrapped_csv(self._parse_id_var) +3584 +3585 def _parse_wrapped_csv( +3586 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA +3587 ) -> t.List[t.Optional[exp.Expression]]: +3588 return self._parse_wrapped(lambda: self._parse_csv(parse_method, sep=sep)) +3589 +3590 def _parse_wrapped(self, parse_method: t.Callable) -> t.Any: +3591 self._match_l_paren() +3592 parse_result = parse_method() +3593 self._match_r_paren() +3594 return parse_result +3595 +3596 def _parse_select_or_expression(self) -> t.Optional[exp.Expression]: +3597 return self._parse_select() or self._parse_expression() 3598 -3599 if self._match(TokenType.AND): -3600 chain = not self._match_text_seq("NO") -3601 self._match_text_seq("CHAIN") -3602 -3603 if is_rollback: -3604 return self.expression(exp.Rollback, savepoint=savepoint) -3605 return self.expression(exp.Commit, chain=chain) -3606 -3607 def _parse_add_column(self) -> t.Optional[exp.Expression]: -3608 if not self._match_text_seq("ADD"): -3609 return None +3599 def _parse_ddl_select(self) -> t.Optional[exp.Expression]: +3600 return self._parse_set_operations( +3601 self._parse_select(nested=True, parse_subquery_alias=False) +3602 ) +3603 +3604 def _parse_transaction(self) -> exp.Expression: +3605 this = None +3606 if self._match_texts(self.TRANSACTION_KIND): +3607 this = self._prev.text +3608 +3609 self._match_texts({"TRANSACTION", "WORK"}) 3610 -3611 self._match(TokenType.COLUMN) -3612 exists_column = self._parse_exists(not_=True) -3613 expression = self._parse_column_def(self._parse_field(any_token=True)) -3614 -3615 if expression: -3616 expression.set("exists", exists_column) -3617 -3618 return expression -3619 -3620 def _parse_drop_column(self) -> t.Optional[exp.Expression]: -3621 return self._match(TokenType.DROP) and self._parse_drop(default_kind="COLUMN") -3622 -3623 # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html -3624 def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression: -3625 return self.expression( -3626 exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists -3627 ) +3611 modes = [] +3612 while True: +3613 mode = [] +3614 while self._match(TokenType.VAR): +3615 mode.append(self._prev.text) +3616 +3617 if mode: +3618 modes.append(" ".join(mode)) +3619 if not self._match(TokenType.COMMA): +3620 break +3621 +3622 return self.expression(exp.Transaction, this=this, modes=modes) +3623 +3624 def _parse_commit_or_rollback(self) -> exp.Expression: +3625 chain = None +3626 savepoint = None +3627 is_rollback = self._prev.token_type == TokenType.ROLLBACK 3628 -3629 def _parse_add_constraint(self) -> t.Optional[exp.Expression]: -3630 this = None -3631 kind = self._prev.token_type -3632 -3633 if kind == TokenType.CONSTRAINT: -3634 this = self._parse_id_var() -3635 -3636 if self._match_text_seq("CHECK"): -3637 expression = self._parse_wrapped(self._parse_conjunction) -3638 enforced = self._match_text_seq("ENFORCED") -3639 -3640 return self.expression( -3641 exp.AddConstraint, this=this, expression=expression, enforced=enforced -3642 ) -3643 -3644 if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY): -3645 expression = self._parse_foreign_key() -3646 elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY): -3647 expression = self._parse_primary_key() -3648 -3649 return self.expression(exp.AddConstraint, this=this, expression=expression) +3629 self._match_texts({"TRANSACTION", "WORK"}) +3630 +3631 if self._match_text_seq("TO"): +3632 self._match_text_seq("SAVEPOINT") +3633 savepoint = self._parse_id_var() +3634 +3635 if self._match(TokenType.AND): +3636 chain = not self._match_text_seq("NO") +3637 self._match_text_seq("CHAIN") +3638 +3639 if is_rollback: +3640 return self.expression(exp.Rollback, savepoint=savepoint) +3641 return self.expression(exp.Commit, chain=chain) +3642 +3643 def _parse_add_column(self) -> t.Optional[exp.Expression]: +3644 if not self._match_text_seq("ADD"): +3645 return None +3646 +3647 self._match(TokenType.COLUMN) +3648 exists_column = self._parse_exists(not_=True) +3649 expression = self._parse_column_def(self._parse_field(any_token=True)) 3650 -3651 def _parse_alter(self) -> t.Optional[exp.Expression]: -3652 if not self._match(TokenType.TABLE): -3653 return self._parse_as_command(self._prev) -3654 -3655 exists = self._parse_exists() -3656 this = self._parse_table(schema=True) -3657 -3658 actions: t.Optional[exp.Expression | t.List[t.Optional[exp.Expression]]] = None -3659 -3660 index = self._index -3661 if self._match(TokenType.DELETE): -3662 actions = [self.expression(exp.Delete, where=self._parse_where())] -3663 elif self._match_text_seq("ADD"): -3664 if self._match_set(self.ADD_CONSTRAINT_TOKENS): -3665 actions = self._parse_csv(self._parse_add_constraint) -3666 else: -3667 self._retreat(index) -3668 actions = self._parse_csv(self._parse_add_column) -3669 elif self._match_text_seq("DROP"): -3670 partition_exists = self._parse_exists() +3651 if expression: +3652 expression.set("exists", exists_column) +3653 +3654 return expression +3655 +3656 def _parse_drop_column(self) -> t.Optional[exp.Expression]: +3657 return self._match(TokenType.DROP) and self._parse_drop(default_kind="COLUMN") +3658 +3659 # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html +3660 def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression: +3661 return self.expression( +3662 exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists +3663 ) +3664 +3665 def _parse_add_constraint(self) -> t.Optional[exp.Expression]: +3666 this = None +3667 kind = self._prev.token_type +3668 +3669 if kind == TokenType.CONSTRAINT: +3670 this = self._parse_id_var() 3671 -3672 if self._match(TokenType.PARTITION, advance=False): -3673 actions = self._parse_csv( -3674 lambda: self._parse_drop_partition(exists=partition_exists) -3675 ) -3676 else: -3677 self._retreat(index) -3678 actions = self._parse_csv(self._parse_drop_column) -3679 elif self._match_text_seq("RENAME", "TO"): -3680 actions = self.expression(exp.RenameTable, this=self._parse_table(schema=True)) -3681 elif self._match_text_seq("ALTER"): -3682 self._match(TokenType.COLUMN) -3683 column = self._parse_field(any_token=True) +3672 if self._match_text_seq("CHECK"): +3673 expression = self._parse_wrapped(self._parse_conjunction) +3674 enforced = self._match_text_seq("ENFORCED") +3675 +3676 return self.expression( +3677 exp.AddConstraint, this=this, expression=expression, enforced=enforced +3678 ) +3679 +3680 if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY): +3681 expression = self._parse_foreign_key() +3682 elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY): +3683 expression = self._parse_primary_key() 3684 -3685 if self._match_pair(TokenType.DROP, TokenType.DEFAULT): -3686 actions = self.expression(exp.AlterColumn, this=column, drop=True) -3687 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): -3688 actions = self.expression( -3689 exp.AlterColumn, this=column, default=self._parse_conjunction() -3690 ) -3691 else: -3692 self._match_text_seq("SET", "DATA") -3693 actions = self.expression( -3694 exp.AlterColumn, -3695 this=column, -3696 dtype=self._match_text_seq("TYPE") and self._parse_types(), -3697 collate=self._match(TokenType.COLLATE) and self._parse_term(), -3698 using=self._match(TokenType.USING) and self._parse_conjunction(), -3699 ) -3700 -3701 actions = ensure_list(actions) -3702 return self.expression(exp.AlterTable, this=this, exists=exists, actions=actions) -3703 -3704 def _parse_show(self) -> t.Optional[exp.Expression]: -3705 parser = self._find_parser(self.SHOW_PARSERS, self._show_trie) # type: ignore -3706 if parser: -3707 return parser(self) -3708 self._advance() -3709 return self.expression(exp.Show, this=self._prev.text.upper()) -3710 -3711 def _default_parse_set_item(self) -> exp.Expression: -3712 return self.expression( -3713 exp.SetItem, -3714 this=self._parse_statement(), -3715 ) +3685 return self.expression(exp.AddConstraint, this=this, expression=expression) +3686 +3687 def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]: +3688 index = self._index - 1 +3689 +3690 if self._match_set(self.ADD_CONSTRAINT_TOKENS): +3691 return self._parse_csv(self._parse_add_constraint) +3692 +3693 self._retreat(index) +3694 return self._parse_csv(self._parse_add_column) +3695 +3696 def _parse_alter_table_alter(self) -> exp.Expression: +3697 self._match(TokenType.COLUMN) +3698 column = self._parse_field(any_token=True) +3699 +3700 if self._match_pair(TokenType.DROP, TokenType.DEFAULT): +3701 return self.expression(exp.AlterColumn, this=column, drop=True) +3702 if self._match_pair(TokenType.SET, TokenType.DEFAULT): +3703 return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction()) +3704 +3705 self._match_text_seq("SET", "DATA") +3706 return self.expression( +3707 exp.AlterColumn, +3708 this=column, +3709 dtype=self._match_text_seq("TYPE") and self._parse_types(), +3710 collate=self._match(TokenType.COLLATE) and self._parse_term(), +3711 using=self._match(TokenType.USING) and self._parse_conjunction(), +3712 ) +3713 +3714 def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]: +3715 index = self._index - 1 3716 -3717 def _parse_set_item(self) -> t.Optional[exp.Expression]: -3718 parser = self._find_parser(self.SET_PARSERS, self._set_trie) # type: ignore -3719 return parser(self) if parser else self._default_parse_set_item() +3717 partition_exists = self._parse_exists() +3718 if self._match(TokenType.PARTITION, advance=False): +3719 return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists)) 3720 -3721 def _parse_merge(self) -> exp.Expression: -3722 self._match(TokenType.INTO) -3723 target = self._parse_table() -3724 -3725 self._match(TokenType.USING) -3726 using = self._parse_table() +3721 self._retreat(index) +3722 return self._parse_csv(self._parse_drop_column) +3723 +3724 def _parse_alter_table_rename(self) -> exp.Expression: +3725 self._match_text_seq("TO") +3726 return self.expression(exp.RenameTable, this=self._parse_table(schema=True)) 3727 -3728 self._match(TokenType.ON) -3729 on = self._parse_conjunction() -3730 -3731 whens = [] -3732 while self._match(TokenType.WHEN): -3733 this = self._parse_conjunction() -3734 self._match(TokenType.THEN) -3735 -3736 if self._match(TokenType.INSERT): -3737 _this = self._parse_star() -3738 if _this: -3739 then = self.expression(exp.Insert, this=_this) -3740 else: -3741 then = self.expression( -3742 exp.Insert, -3743 this=self._parse_value(), -3744 expression=self._match(TokenType.VALUES) and self._parse_value(), -3745 ) -3746 elif self._match(TokenType.UPDATE): -3747 expressions = self._parse_star() -3748 if expressions: -3749 then = self.expression(exp.Update, expressions=expressions) -3750 else: -3751 then = self.expression( -3752 exp.Update, -3753 expressions=self._match(TokenType.SET) -3754 and self._parse_csv(self._parse_equality), -3755 ) -3756 elif self._match(TokenType.DELETE): -3757 then = self.expression(exp.Var, this=self._prev.text) -3758 -3759 whens.append(self.expression(exp.When, this=this, then=then)) -3760 -3761 return self.expression( -3762 exp.Merge, -3763 this=target, -3764 using=using, -3765 on=on, -3766 expressions=whens, -3767 ) -3768 -3769 def _parse_set(self) -> exp.Expression: -3770 return self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item)) -3771 -3772 def _parse_as_command(self, start: Token) -> exp.Command: -3773 while self._curr: -3774 self._advance() -3775 return exp.Command(this=self._find_sql(start, self._prev)) -3776 -3777 def _find_parser( -3778 self, parsers: t.Dict[str, t.Callable], trie: t.Dict -3779 ) -> t.Optional[t.Callable]: -3780 index = self._index -3781 this = [] -3782 while True: -3783 # The current token might be multiple words -3784 curr = self._curr.text.upper() -3785 key = curr.split(" ") -3786 this.append(curr) -3787 self._advance() -3788 result, trie = in_trie(trie, key) -3789 if result == 0: -3790 break -3791 if result == 2: -3792 subparser = parsers[" ".join(this)] -3793 return subparser -3794 self._retreat(index) -3795 return None -3796 -3797 def _match(self, token_type, advance=True): -3798 if not self._curr: -3799 return None -3800 -3801 if self._curr.token_type == token_type: -3802 if advance: -3803 self._advance() -3804 return True -3805 -3806 return None +3728 def _parse_alter(self) -> t.Optional[exp.Expression]: +3729 if not self._match(TokenType.TABLE): +3730 return self._parse_as_command(self._prev) +3731 +3732 exists = self._parse_exists() +3733 this = self._parse_table(schema=True) +3734 +3735 if not self._curr: +3736 return None +3737 +3738 parser = self.ALTER_PARSERS.get(self._curr.text.upper()) +3739 actions = ensure_list(self._advance() or parser(self)) if parser else [] # type: ignore +3740 +3741 return self.expression(exp.AlterTable, this=this, exists=exists, actions=actions) +3742 +3743 def _parse_show(self) -> t.Optional[exp.Expression]: +3744 parser = self._find_parser(self.SHOW_PARSERS, self._show_trie) # type: ignore +3745 if parser: +3746 return parser(self) +3747 self._advance() +3748 return self.expression(exp.Show, this=self._prev.text.upper()) +3749 +3750 def _default_parse_set_item(self) -> exp.Expression: +3751 return self.expression( +3752 exp.SetItem, +3753 this=self._parse_statement(), +3754 ) +3755 +3756 def _parse_set_item(self) -> t.Optional[exp.Expression]: +3757 parser = self._find_parser(self.SET_PARSERS, self._set_trie) # type: ignore +3758 return parser(self) if parser else self._default_parse_set_item() +3759 +3760 def _parse_merge(self) -> exp.Expression: +3761 self._match(TokenType.INTO) +3762 target = self._parse_table() +3763 +3764 self._match(TokenType.USING) +3765 using = self._parse_table() +3766 +3767 self._match(TokenType.ON) +3768 on = self._parse_conjunction() +3769 +3770 whens = [] +3771 while self._match(TokenType.WHEN): +3772 this = self._parse_conjunction() +3773 self._match(TokenType.THEN) +3774 +3775 if self._match(TokenType.INSERT): +3776 _this = self._parse_star() +3777 if _this: +3778 then = self.expression(exp.Insert, this=_this) +3779 else: +3780 then = self.expression( +3781 exp.Insert, +3782 this=self._parse_value(), +3783 expression=self._match(TokenType.VALUES) and self._parse_value(), +3784 ) +3785 elif self._match(TokenType.UPDATE): +3786 expressions = self._parse_star() +3787 if expressions: +3788 then = self.expression(exp.Update, expressions=expressions) +3789 else: +3790 then = self.expression( +3791 exp.Update, +3792 expressions=self._match(TokenType.SET) +3793 and self._parse_csv(self._parse_equality), +3794 ) +3795 elif self._match(TokenType.DELETE): +3796 then = self.expression(exp.Var, this=self._prev.text) +3797 +3798 whens.append(self.expression(exp.When, this=this, then=then)) +3799 +3800 return self.expression( +3801 exp.Merge, +3802 this=target, +3803 using=using, +3804 on=on, +3805 expressions=whens, +3806 ) 3807 -3808 def _match_set(self, types, advance=True): -3809 if not self._curr: -3810 return None -3811 -3812 if self._curr.token_type in types: -3813 if advance: -3814 self._advance() -3815 return True -3816 -3817 return None -3818 -3819 def _match_pair(self, token_type_a, token_type_b, advance=True): -3820 if not self._curr or not self._next: -3821 return None -3822 -3823 if self._curr.token_type == token_type_a and self._next.token_type == token_type_b: -3824 if advance: -3825 self._advance(2) -3826 return True -3827 -3828 return None -3829 -3830 def _match_l_paren(self, expression=None): -3831 if not self._match(TokenType.L_PAREN): -3832 self.raise_error("Expecting (") -3833 if expression and self._prev_comments: -3834 expression.comments = self._prev_comments -3835 -3836 def _match_r_paren(self, expression=None): -3837 if not self._match(TokenType.R_PAREN): -3838 self.raise_error("Expecting )") -3839 if expression and self._prev_comments: -3840 expression.comments = self._prev_comments +3808 def _parse_set(self) -> exp.Expression: +3809 return self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item)) +3810 +3811 def _parse_as_command(self, start: Token) -> exp.Command: +3812 while self._curr: +3813 self._advance() +3814 text = self._find_sql(start, self._prev) +3815 size = len(start.text) +3816 return exp.Command(this=text[:size], expression=text[size:]) +3817 +3818 def _find_parser( +3819 self, parsers: t.Dict[str, t.Callable], trie: t.Dict +3820 ) -> t.Optional[t.Callable]: +3821 index = self._index +3822 this = [] +3823 while True: +3824 # The current token might be multiple words +3825 curr = self._curr.text.upper() +3826 key = curr.split(" ") +3827 this.append(curr) +3828 self._advance() +3829 result, trie = in_trie(trie, key) +3830 if result == 0: +3831 break +3832 if result == 2: +3833 subparser = parsers[" ".join(this)] +3834 return subparser +3835 self._retreat(index) +3836 return None +3837 +3838 def _match(self, token_type, advance=True): +3839 if not self._curr: +3840 return None 3841 -3842 def _match_texts(self, texts, advance=True): -3843 if self._curr and self._curr.text.upper() in texts: -3844 if advance: -3845 self._advance() -3846 return True -3847 return False +3842 if self._curr.token_type == token_type: +3843 if advance: +3844 self._advance() +3845 return True +3846 +3847 return None 3848 -3849 def _match_text_seq(self, *texts, advance=True): -3850 index = self._index -3851 for text in texts: -3852 if self._curr and self._curr.text.upper() == text: -3853 self._advance() -3854 else: -3855 self._retreat(index) -3856 return False +3849 def _match_set(self, types, advance=True): +3850 if not self._curr: +3851 return None +3852 +3853 if self._curr.token_type in types: +3854 if advance: +3855 self._advance() +3856 return True 3857 -3858 if not advance: -3859 self._retreat(index) -3860 -3861 return True -3862 -3863 def _replace_columns_with_dots(self, this): -3864 if isinstance(this, exp.Dot): -3865 exp.replace_children(this, self._replace_columns_with_dots) -3866 elif isinstance(this, exp.Column): -3867 exp.replace_children(this, self._replace_columns_with_dots) -3868 table = this.args.get("table") -3869 this = ( -3870 self.expression(exp.Dot, this=table, expression=this.this) -3871 if table -3872 else self.expression(exp.Var, this=this.name) -3873 ) -3874 elif isinstance(this, exp.Identifier): -3875 this = self.expression(exp.Var, this=this.name) -3876 return this -3877 -3878 def _replace_lambda(self, node, lambda_variables): -3879 if isinstance(node, exp.Column): -3880 if node.name in lambda_variables: -3881 return node.this -3882 return node +3858 return None +3859 +3860 def _match_pair(self, token_type_a, token_type_b, advance=True): +3861 if not self._curr or not self._next: +3862 return None +3863 +3864 if self._curr.token_type == token_type_a and self._next.token_type == token_type_b: +3865 if advance: +3866 self._advance(2) +3867 return True +3868 +3869 return None +3870 +3871 def _match_l_paren(self, expression=None): +3872 if not self._match(TokenType.L_PAREN): +3873 self.raise_error("Expecting (") +3874 if expression and self._prev_comments: +3875 expression.comments = self._prev_comments +3876 +3877 def _match_r_paren(self, expression=None): +3878 if not self._match(TokenType.R_PAREN): +3879 self.raise_error("Expecting )") +3880 if expression and self._prev_comments: +3881 expression.comments = self._prev_comments +3882 +3883 def _match_texts(self, texts, advance=True): +3884 if self._curr and self._curr.text.upper() in texts: +3885 if advance: +3886 self._advance() +3887 return True +3888 return False +3889 +3890 def _match_text_seq(self, *texts, advance=True): +3891 index = self._index +3892 for text in texts: +3893 if self._curr and self._curr.text.upper() == text: +3894 self._advance() +3895 else: +3896 self._retreat(index) +3897 return False +3898 +3899 if not advance: +3900 self._retreat(index) +3901 +3902 return True +3903 +3904 def _replace_columns_with_dots(self, this): +3905 if isinstance(this, exp.Dot): +3906 exp.replace_children(this, self._replace_columns_with_dots) +3907 elif isinstance(this, exp.Column): +3908 exp.replace_children(this, self._replace_columns_with_dots) +3909 table = this.args.get("table") +3910 this = ( +3911 self.expression(exp.Dot, this=table, expression=this.this) +3912 if table +3913 else self.expression(exp.Var, this=this.name) +3914 ) +3915 elif isinstance(this, exp.Identifier): +3916 this = self.expression(exp.Var, this=this.name) +3917 return this +3918 +3919 def _replace_lambda(self, node, lambda_variables): +3920 if isinstance(node, exp.Column): +3921 if node.name in lambda_variables: +3922 return node.this +3923 return node
    @@ -4128,3729 +4169,3770 @@ 158 159 RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT} 160 - 161 ID_VAR_TOKENS = { - 162 TokenType.VAR, - 163 TokenType.ANTI, - 164 TokenType.APPLY, - 165 TokenType.AUTO_INCREMENT, - 166 TokenType.BEGIN, - 167 TokenType.BOTH, - 168 TokenType.BUCKET, - 169 TokenType.CACHE, - 170 TokenType.CASCADE, - 171 TokenType.COLLATE, - 172 TokenType.COLUMN, - 173 TokenType.COMMAND, - 174 TokenType.COMMIT, - 175 TokenType.COMPOUND, - 176 TokenType.CONSTRAINT, - 177 TokenType.CURRENT_TIME, - 178 TokenType.DEFAULT, - 179 TokenType.DELETE, - 180 TokenType.DESCRIBE, - 181 TokenType.DIV, - 182 TokenType.END, - 183 TokenType.EXECUTE, - 184 TokenType.ESCAPE, - 185 TokenType.FALSE, - 186 TokenType.FIRST, - 187 TokenType.FILTER, - 188 TokenType.FOLLOWING, - 189 TokenType.FORMAT, - 190 TokenType.FUNCTION, - 191 TokenType.IF, - 192 TokenType.INDEX, - 193 TokenType.ISNULL, - 194 TokenType.INTERVAL, - 195 TokenType.LAZY, - 196 TokenType.LEADING, - 197 TokenType.LEFT, - 198 TokenType.LOCAL, - 199 TokenType.MATERIALIZED, - 200 TokenType.MERGE, - 201 TokenType.NATURAL, - 202 TokenType.NEXT, - 203 TokenType.OFFSET, - 204 TokenType.ONLY, - 205 TokenType.OPTIONS, - 206 TokenType.ORDINALITY, - 207 TokenType.PERCENT, - 208 TokenType.PIVOT, - 209 TokenType.PRECEDING, - 210 TokenType.RANGE, - 211 TokenType.REFERENCES, - 212 TokenType.RIGHT, - 213 TokenType.ROW, - 214 TokenType.ROWS, - 215 TokenType.SCHEMA, - 216 TokenType.SEED, - 217 TokenType.SEMI, - 218 TokenType.SET, - 219 TokenType.SHOW, - 220 TokenType.SORTKEY, - 221 TokenType.TABLE, - 222 TokenType.TEMPORARY, - 223 TokenType.TOP, - 224 TokenType.TRAILING, - 225 TokenType.TRUE, - 226 TokenType.UNBOUNDED, - 227 TokenType.UNIQUE, - 228 TokenType.UNLOGGED, - 229 TokenType.UNPIVOT, - 230 TokenType.PROCEDURE, - 231 TokenType.VIEW, - 232 TokenType.VOLATILE, - 233 TokenType.WINDOW, - 234 *SUBQUERY_PREDICATES, - 235 *TYPE_TOKENS, - 236 *NO_PAREN_FUNCTIONS, - 237 } - 238 - 239 TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - { - 240 TokenType.APPLY, - 241 TokenType.LEFT, - 242 TokenType.NATURAL, - 243 TokenType.OFFSET, - 244 TokenType.RIGHT, - 245 TokenType.WINDOW, - 246 } - 247 - 248 UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET} - 249 - 250 TRIM_TYPES = {TokenType.LEADING, TokenType.TRAILING, TokenType.BOTH} - 251 - 252 FUNC_TOKENS = { - 253 TokenType.COMMAND, - 254 TokenType.CURRENT_DATE, - 255 TokenType.CURRENT_DATETIME, - 256 TokenType.CURRENT_TIMESTAMP, - 257 TokenType.CURRENT_TIME, - 258 TokenType.FILTER, - 259 TokenType.FIRST, - 260 TokenType.FORMAT, - 261 TokenType.IDENTIFIER, - 262 TokenType.INDEX, - 263 TokenType.ISNULL, - 264 TokenType.ILIKE, - 265 TokenType.LIKE, - 266 TokenType.MERGE, - 267 TokenType.OFFSET, - 268 TokenType.PRIMARY_KEY, - 269 TokenType.REPLACE, - 270 TokenType.ROW, - 271 TokenType.UNNEST, - 272 TokenType.VAR, - 273 TokenType.LEFT, - 274 TokenType.RIGHT, - 275 TokenType.DATE, - 276 TokenType.DATETIME, - 277 TokenType.TABLE, - 278 TokenType.TIMESTAMP, - 279 TokenType.TIMESTAMPTZ, - 280 TokenType.WINDOW, - 281 *TYPE_TOKENS, - 282 *SUBQUERY_PREDICATES, - 283 } - 284 - 285 CONJUNCTION = { - 286 TokenType.AND: exp.And, - 287 TokenType.OR: exp.Or, - 288 } - 289 - 290 EQUALITY = { - 291 TokenType.EQ: exp.EQ, - 292 TokenType.NEQ: exp.NEQ, - 293 TokenType.NULLSAFE_EQ: exp.NullSafeEQ, - 294 } - 295 - 296 COMPARISON = { - 297 TokenType.GT: exp.GT, - 298 TokenType.GTE: exp.GTE, - 299 TokenType.LT: exp.LT, - 300 TokenType.LTE: exp.LTE, - 301 } - 302 - 303 BITWISE = { - 304 TokenType.AMP: exp.BitwiseAnd, - 305 TokenType.CARET: exp.BitwiseXor, - 306 TokenType.PIPE: exp.BitwiseOr, - 307 TokenType.DPIPE: exp.DPipe, - 308 } - 309 - 310 TERM = { - 311 TokenType.DASH: exp.Sub, - 312 TokenType.PLUS: exp.Add, - 313 TokenType.MOD: exp.Mod, - 314 TokenType.COLLATE: exp.Collate, - 315 } - 316 - 317 FACTOR = { - 318 TokenType.DIV: exp.IntDiv, - 319 TokenType.LR_ARROW: exp.Distance, - 320 TokenType.SLASH: exp.Div, - 321 TokenType.STAR: exp.Mul, - 322 } - 323 - 324 TIMESTAMPS = { - 325 TokenType.TIME, - 326 TokenType.TIMESTAMP, - 327 TokenType.TIMESTAMPTZ, - 328 TokenType.TIMESTAMPLTZ, - 329 } - 330 - 331 SET_OPERATIONS = { - 332 TokenType.UNION, - 333 TokenType.INTERSECT, - 334 TokenType.EXCEPT, - 335 } - 336 - 337 JOIN_SIDES = { - 338 TokenType.LEFT, - 339 TokenType.RIGHT, - 340 TokenType.FULL, - 341 } - 342 - 343 JOIN_KINDS = { - 344 TokenType.INNER, - 345 TokenType.OUTER, - 346 TokenType.CROSS, - 347 TokenType.SEMI, - 348 TokenType.ANTI, - 349 } - 350 - 351 LAMBDAS = { - 352 TokenType.ARROW: lambda self, expressions: self.expression( - 353 exp.Lambda, - 354 this=self._parse_conjunction().transform( - 355 self._replace_lambda, {node.name for node in expressions} - 356 ), - 357 expressions=expressions, - 358 ), - 359 TokenType.FARROW: lambda self, expressions: self.expression( - 360 exp.Kwarg, - 361 this=exp.Var(this=expressions[0].name), - 362 expression=self._parse_conjunction(), - 363 ), - 364 } - 365 - 366 COLUMN_OPERATORS = { - 367 TokenType.DOT: None, - 368 TokenType.DCOLON: lambda self, this, to: self.expression( - 369 exp.Cast, - 370 this=this, - 371 to=to, - 372 ), - 373 TokenType.ARROW: lambda self, this, path: self.expression( - 374 exp.JSONExtract, - 375 this=this, - 376 expression=path, - 377 ), - 378 TokenType.DARROW: lambda self, this, path: self.expression( - 379 exp.JSONExtractScalar, + 161 DB_CREATABLES = { + 162 TokenType.DATABASE, + 163 TokenType.SCHEMA, + 164 TokenType.TABLE, + 165 TokenType.VIEW, + 166 } + 167 + 168 CREATABLES = { + 169 TokenType.COLUMN, + 170 TokenType.FUNCTION, + 171 TokenType.INDEX, + 172 TokenType.PROCEDURE, + 173 *DB_CREATABLES, + 174 } + 175 + 176 ID_VAR_TOKENS = { + 177 TokenType.VAR, + 178 TokenType.ANTI, + 179 TokenType.APPLY, + 180 TokenType.AUTO_INCREMENT, + 181 TokenType.BEGIN, + 182 TokenType.BOTH, + 183 TokenType.BUCKET, + 184 TokenType.CACHE, + 185 TokenType.CASCADE, + 186 TokenType.COLLATE, + 187 TokenType.COMMAND, + 188 TokenType.COMMENT, + 189 TokenType.COMMIT, + 190 TokenType.COMPOUND, + 191 TokenType.CONSTRAINT, + 192 TokenType.CURRENT_TIME, + 193 TokenType.DEFAULT, + 194 TokenType.DELETE, + 195 TokenType.DESCRIBE, + 196 TokenType.DIV, + 197 TokenType.END, + 198 TokenType.EXECUTE, + 199 TokenType.ESCAPE, + 200 TokenType.FALSE, + 201 TokenType.FIRST, + 202 TokenType.FILTER, + 203 TokenType.FOLLOWING, + 204 TokenType.FORMAT, + 205 TokenType.IF, + 206 TokenType.ISNULL, + 207 TokenType.INTERVAL, + 208 TokenType.LAZY, + 209 TokenType.LEADING, + 210 TokenType.LEFT, + 211 TokenType.LOCAL, + 212 TokenType.MATERIALIZED, + 213 TokenType.MERGE, + 214 TokenType.NATURAL, + 215 TokenType.NEXT, + 216 TokenType.OFFSET, + 217 TokenType.ONLY, + 218 TokenType.OPTIONS, + 219 TokenType.ORDINALITY, + 220 TokenType.PERCENT, + 221 TokenType.PIVOT, + 222 TokenType.PRECEDING, + 223 TokenType.RANGE, + 224 TokenType.REFERENCES, + 225 TokenType.RIGHT, + 226 TokenType.ROW, + 227 TokenType.ROWS, + 228 TokenType.SEED, + 229 TokenType.SEMI, + 230 TokenType.SET, + 231 TokenType.SHOW, + 232 TokenType.SORTKEY, + 233 TokenType.TEMPORARY, + 234 TokenType.TOP, + 235 TokenType.TRAILING, + 236 TokenType.TRUE, + 237 TokenType.UNBOUNDED, + 238 TokenType.UNIQUE, + 239 TokenType.UNLOGGED, + 240 TokenType.UNPIVOT, + 241 TokenType.VOLATILE, + 242 TokenType.WINDOW, + 243 *CREATABLES, + 244 *SUBQUERY_PREDICATES, + 245 *TYPE_TOKENS, + 246 *NO_PAREN_FUNCTIONS, + 247 } + 248 + 249 TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - { + 250 TokenType.APPLY, + 251 TokenType.LEFT, + 252 TokenType.NATURAL, + 253 TokenType.OFFSET, + 254 TokenType.RIGHT, + 255 TokenType.WINDOW, + 256 } + 257 + 258 UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET} + 259 + 260 TRIM_TYPES = {TokenType.LEADING, TokenType.TRAILING, TokenType.BOTH} + 261 + 262 FUNC_TOKENS = { + 263 TokenType.COMMAND, + 264 TokenType.CURRENT_DATE, + 265 TokenType.CURRENT_DATETIME, + 266 TokenType.CURRENT_TIMESTAMP, + 267 TokenType.CURRENT_TIME, + 268 TokenType.FILTER, + 269 TokenType.FIRST, + 270 TokenType.FORMAT, + 271 TokenType.IDENTIFIER, + 272 TokenType.INDEX, + 273 TokenType.ISNULL, + 274 TokenType.ILIKE, + 275 TokenType.LIKE, + 276 TokenType.MERGE, + 277 TokenType.OFFSET, + 278 TokenType.PRIMARY_KEY, + 279 TokenType.REPLACE, + 280 TokenType.ROW, + 281 TokenType.UNNEST, + 282 TokenType.VAR, + 283 TokenType.LEFT, + 284 TokenType.RIGHT, + 285 TokenType.DATE, + 286 TokenType.DATETIME, + 287 TokenType.TABLE, + 288 TokenType.TIMESTAMP, + 289 TokenType.TIMESTAMPTZ, + 290 TokenType.WINDOW, + 291 *TYPE_TOKENS, + 292 *SUBQUERY_PREDICATES, + 293 } + 294 + 295 CONJUNCTION = { + 296 TokenType.AND: exp.And, + 297 TokenType.OR: exp.Or, + 298 } + 299 + 300 EQUALITY = { + 301 TokenType.EQ: exp.EQ, + 302 TokenType.NEQ: exp.NEQ, + 303 TokenType.NULLSAFE_EQ: exp.NullSafeEQ, + 304 } + 305 + 306 COMPARISON = { + 307 TokenType.GT: exp.GT, + 308 TokenType.GTE: exp.GTE, + 309 TokenType.LT: exp.LT, + 310 TokenType.LTE: exp.LTE, + 311 } + 312 + 313 BITWISE = { + 314 TokenType.AMP: exp.BitwiseAnd, + 315 TokenType.CARET: exp.BitwiseXor, + 316 TokenType.PIPE: exp.BitwiseOr, + 317 TokenType.DPIPE: exp.DPipe, + 318 } + 319 + 320 TERM = { + 321 TokenType.DASH: exp.Sub, + 322 TokenType.PLUS: exp.Add, + 323 TokenType.MOD: exp.Mod, + 324 TokenType.COLLATE: exp.Collate, + 325 } + 326 + 327 FACTOR = { + 328 TokenType.DIV: exp.IntDiv, + 329 TokenType.LR_ARROW: exp.Distance, + 330 TokenType.SLASH: exp.Div, + 331 TokenType.STAR: exp.Mul, + 332 } + 333 + 334 TIMESTAMPS = { + 335 TokenType.TIME, + 336 TokenType.TIMESTAMP, + 337 TokenType.TIMESTAMPTZ, + 338 TokenType.TIMESTAMPLTZ, + 339 } + 340 + 341 SET_OPERATIONS = { + 342 TokenType.UNION, + 343 TokenType.INTERSECT, + 344 TokenType.EXCEPT, + 345 } + 346 + 347 JOIN_SIDES = { + 348 TokenType.LEFT, + 349 TokenType.RIGHT, + 350 TokenType.FULL, + 351 } + 352 + 353 JOIN_KINDS = { + 354 TokenType.INNER, + 355 TokenType.OUTER, + 356 TokenType.CROSS, + 357 TokenType.SEMI, + 358 TokenType.ANTI, + 359 } + 360 + 361 LAMBDAS = { + 362 TokenType.ARROW: lambda self, expressions: self.expression( + 363 exp.Lambda, + 364 this=self._parse_conjunction().transform( + 365 self._replace_lambda, {node.name for node in expressions} + 366 ), + 367 expressions=expressions, + 368 ), + 369 TokenType.FARROW: lambda self, expressions: self.expression( + 370 exp.Kwarg, + 371 this=exp.Var(this=expressions[0].name), + 372 expression=self._parse_conjunction(), + 373 ), + 374 } + 375 + 376 COLUMN_OPERATORS = { + 377 TokenType.DOT: None, + 378 TokenType.DCOLON: lambda self, this, to: self.expression( + 379 exp.Cast, 380 this=this, - 381 expression=path, + 381 to=to, 382 ), - 383 TokenType.HASH_ARROW: lambda self, this, path: self.expression( - 384 exp.JSONBExtract, + 383 TokenType.ARROW: lambda self, this, path: self.expression( + 384 exp.JSONExtract, 385 this=this, 386 expression=path, 387 ), - 388 TokenType.DHASH_ARROW: lambda self, this, path: self.expression( - 389 exp.JSONBExtractScalar, + 388 TokenType.DARROW: lambda self, this, path: self.expression( + 389 exp.JSONExtractScalar, 390 this=this, 391 expression=path, 392 ), - 393 TokenType.PLACEHOLDER: lambda self, this, key: self.expression( - 394 exp.JSONBContains, + 393 TokenType.HASH_ARROW: lambda self, this, path: self.expression( + 394 exp.JSONBExtract, 395 this=this, - 396 expression=key, + 396 expression=path, 397 ), - 398 } - 399 - 400 EXPRESSION_PARSERS = { - 401 exp.Column: lambda self: self._parse_column(), - 402 exp.DataType: lambda self: self._parse_types(), - 403 exp.From: lambda self: self._parse_from(), - 404 exp.Group: lambda self: self._parse_group(), - 405 exp.Identifier: lambda self: self._parse_id_var(), - 406 exp.Lateral: lambda self: self._parse_lateral(), - 407 exp.Join: lambda self: self._parse_join(), - 408 exp.Order: lambda self: self._parse_order(), - 409 exp.Cluster: lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), - 410 exp.Sort: lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), - 411 exp.Lambda: lambda self: self._parse_lambda(), - 412 exp.Limit: lambda self: self._parse_limit(), - 413 exp.Offset: lambda self: self._parse_offset(), - 414 exp.TableAlias: lambda self: self._parse_table_alias(), - 415 exp.Table: lambda self: self._parse_table(), - 416 exp.Condition: lambda self: self._parse_conjunction(), - 417 exp.Expression: lambda self: self._parse_statement(), - 418 exp.Properties: lambda self: self._parse_properties(), - 419 exp.Where: lambda self: self._parse_where(), - 420 exp.Ordered: lambda self: self._parse_ordered(), - 421 exp.Having: lambda self: self._parse_having(), - 422 exp.With: lambda self: self._parse_with(), - 423 exp.Window: lambda self: self._parse_named_window(), - 424 "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(), - 425 } - 426 - 427 STATEMENT_PARSERS = { - 428 TokenType.ALTER: lambda self: self._parse_alter(), - 429 TokenType.BEGIN: lambda self: self._parse_transaction(), - 430 TokenType.CACHE: lambda self: self._parse_cache(), - 431 TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(), - 432 TokenType.CREATE: lambda self: self._parse_create(), - 433 TokenType.DELETE: lambda self: self._parse_delete(), - 434 TokenType.DESC: lambda self: self._parse_describe(), - 435 TokenType.DESCRIBE: lambda self: self._parse_describe(), - 436 TokenType.DROP: lambda self: self._parse_drop(), - 437 TokenType.END: lambda self: self._parse_commit_or_rollback(), - 438 TokenType.INSERT: lambda self: self._parse_insert(), - 439 TokenType.LOAD_DATA: lambda self: self._parse_load_data(), - 440 TokenType.MERGE: lambda self: self._parse_merge(), - 441 TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(), - 442 TokenType.UNCACHE: lambda self: self._parse_uncache(), - 443 TokenType.UPDATE: lambda self: self._parse_update(), - 444 TokenType.USE: lambda self: self.expression( - 445 exp.Use, - 446 kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA")) - 447 and exp.Var(this=self._prev.text), - 448 this=self._parse_table(schema=False), - 449 ), - 450 } - 451 - 452 UNARY_PARSERS = { - 453 TokenType.PLUS: lambda self: self._parse_unary(), # Unary + is handled as a no-op - 454 TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()), - 455 TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()), - 456 TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()), - 457 } - 458 - 459 PRIMARY_PARSERS = { - 460 TokenType.STRING: lambda self, token: self.expression( - 461 exp.Literal, this=token.text, is_string=True - 462 ), - 463 TokenType.NUMBER: lambda self, token: self.expression( - 464 exp.Literal, this=token.text, is_string=False - 465 ), - 466 TokenType.STAR: lambda self, _: self.expression( - 467 exp.Star, - 468 **{"except": self._parse_except(), "replace": self._parse_replace()}, - 469 ), - 470 TokenType.NULL: lambda self, _: self.expression(exp.Null), - 471 TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True), - 472 TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False), - 473 TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text), - 474 TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text), - 475 TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text), - 476 TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token), - 477 TokenType.NATIONAL: lambda self, token: self._parse_national(token), - 478 TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(), - 479 } - 480 - 481 PLACEHOLDER_PARSERS = { - 482 TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder), - 483 TokenType.PARAMETER: lambda self: self._parse_parameter(), - 484 TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text) - 485 if self._match_set((TokenType.NUMBER, TokenType.VAR)) - 486 else None, - 487 } - 488 - 489 RANGE_PARSERS = { - 490 TokenType.BETWEEN: lambda self, this: self._parse_between(this), - 491 TokenType.GLOB: lambda self, this: self._parse_escape( - 492 self.expression(exp.Glob, this=this, expression=self._parse_bitwise()) - 493 ), - 494 TokenType.IN: lambda self, this: self._parse_in(this), - 495 TokenType.IS: lambda self, this: self._parse_is(this), - 496 TokenType.LIKE: lambda self, this: self._parse_escape( - 497 self.expression(exp.Like, this=this, expression=self._parse_bitwise()) - 498 ), - 499 TokenType.ILIKE: lambda self, this: self._parse_escape( - 500 self.expression(exp.ILike, this=this, expression=self._parse_bitwise()) - 501 ), - 502 TokenType.IRLIKE: lambda self, this: self.expression( - 503 exp.RegexpILike, this=this, expression=self._parse_bitwise() + 398 TokenType.DHASH_ARROW: lambda self, this, path: self.expression( + 399 exp.JSONBExtractScalar, + 400 this=this, + 401 expression=path, + 402 ), + 403 TokenType.PLACEHOLDER: lambda self, this, key: self.expression( + 404 exp.JSONBContains, + 405 this=this, + 406 expression=key, + 407 ), + 408 } + 409 + 410 EXPRESSION_PARSERS = { + 411 exp.Column: lambda self: self._parse_column(), + 412 exp.DataType: lambda self: self._parse_types(), + 413 exp.From: lambda self: self._parse_from(), + 414 exp.Group: lambda self: self._parse_group(), + 415 exp.Identifier: lambda self: self._parse_id_var(), + 416 exp.Lateral: lambda self: self._parse_lateral(), + 417 exp.Join: lambda self: self._parse_join(), + 418 exp.Order: lambda self: self._parse_order(), + 419 exp.Cluster: lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), + 420 exp.Sort: lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), + 421 exp.Lambda: lambda self: self._parse_lambda(), + 422 exp.Limit: lambda self: self._parse_limit(), + 423 exp.Offset: lambda self: self._parse_offset(), + 424 exp.TableAlias: lambda self: self._parse_table_alias(), + 425 exp.Table: lambda self: self._parse_table(), + 426 exp.Condition: lambda self: self._parse_conjunction(), + 427 exp.Expression: lambda self: self._parse_statement(), + 428 exp.Properties: lambda self: self._parse_properties(), + 429 exp.Where: lambda self: self._parse_where(), + 430 exp.Ordered: lambda self: self._parse_ordered(), + 431 exp.Having: lambda self: self._parse_having(), + 432 exp.With: lambda self: self._parse_with(), + 433 exp.Window: lambda self: self._parse_named_window(), + 434 "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(), + 435 } + 436 + 437 STATEMENT_PARSERS = { + 438 TokenType.ALTER: lambda self: self._parse_alter(), + 439 TokenType.BEGIN: lambda self: self._parse_transaction(), + 440 TokenType.CACHE: lambda self: self._parse_cache(), + 441 TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(), + 442 TokenType.COMMENT: lambda self: self._parse_comment(), + 443 TokenType.CREATE: lambda self: self._parse_create(), + 444 TokenType.DELETE: lambda self: self._parse_delete(), + 445 TokenType.DESC: lambda self: self._parse_describe(), + 446 TokenType.DESCRIBE: lambda self: self._parse_describe(), + 447 TokenType.DROP: lambda self: self._parse_drop(), + 448 TokenType.END: lambda self: self._parse_commit_or_rollback(), + 449 TokenType.INSERT: lambda self: self._parse_insert(), + 450 TokenType.LOAD_DATA: lambda self: self._parse_load_data(), + 451 TokenType.MERGE: lambda self: self._parse_merge(), + 452 TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(), + 453 TokenType.UNCACHE: lambda self: self._parse_uncache(), + 454 TokenType.UPDATE: lambda self: self._parse_update(), + 455 TokenType.USE: lambda self: self.expression( + 456 exp.Use, + 457 kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA")) + 458 and exp.Var(this=self._prev.text), + 459 this=self._parse_table(schema=False), + 460 ), + 461 } + 462 + 463 UNARY_PARSERS = { + 464 TokenType.PLUS: lambda self: self._parse_unary(), # Unary + is handled as a no-op + 465 TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()), + 466 TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()), + 467 TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()), + 468 } + 469 + 470 PRIMARY_PARSERS = { + 471 TokenType.STRING: lambda self, token: self.expression( + 472 exp.Literal, this=token.text, is_string=True + 473 ), + 474 TokenType.NUMBER: lambda self, token: self.expression( + 475 exp.Literal, this=token.text, is_string=False + 476 ), + 477 TokenType.STAR: lambda self, _: self.expression( + 478 exp.Star, + 479 **{"except": self._parse_except(), "replace": self._parse_replace()}, + 480 ), + 481 TokenType.NULL: lambda self, _: self.expression(exp.Null), + 482 TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True), + 483 TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False), + 484 TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text), + 485 TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text), + 486 TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text), + 487 TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token), + 488 TokenType.NATIONAL: lambda self, token: self._parse_national(token), + 489 TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(), + 490 } + 491 + 492 PLACEHOLDER_PARSERS = { + 493 TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder), + 494 TokenType.PARAMETER: lambda self: self._parse_parameter(), + 495 TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text) + 496 if self._match_set((TokenType.NUMBER, TokenType.VAR)) + 497 else None, + 498 } + 499 + 500 RANGE_PARSERS = { + 501 TokenType.BETWEEN: lambda self, this: self._parse_between(this), + 502 TokenType.GLOB: lambda self, this: self._parse_escape( + 503 self.expression(exp.Glob, this=this, expression=self._parse_bitwise()) 504 ), - 505 TokenType.RLIKE: lambda self, this: self.expression( - 506 exp.RegexpLike, this=this, expression=self._parse_bitwise() + 505 TokenType.OVERLAPS: lambda self, this: self._parse_escape( + 506 self.expression(exp.Overlaps, this=this, expression=self._parse_bitwise()) 507 ), - 508 TokenType.SIMILAR_TO: lambda self, this: self.expression( - 509 exp.SimilarTo, this=this, expression=self._parse_bitwise() - 510 ), - 511 } - 512 - 513 PROPERTY_PARSERS = { - 514 "AFTER": lambda self: self._parse_afterjournal( - 515 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" - 516 ), - 517 "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty), - 518 "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty), - 519 "BEFORE": lambda self: self._parse_journal( - 520 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 508 TokenType.IN: lambda self, this: self._parse_in(this), + 509 TokenType.IS: lambda self, this: self._parse_is(this), + 510 TokenType.LIKE: lambda self, this: self._parse_escape( + 511 self.expression(exp.Like, this=this, expression=self._parse_bitwise()) + 512 ), + 513 TokenType.ILIKE: lambda self, this: self._parse_escape( + 514 self.expression(exp.ILike, this=this, expression=self._parse_bitwise()) + 515 ), + 516 TokenType.IRLIKE: lambda self, this: self.expression( + 517 exp.RegexpILike, this=this, expression=self._parse_bitwise() + 518 ), + 519 TokenType.RLIKE: lambda self, this: self.expression( + 520 exp.RegexpLike, this=this, expression=self._parse_bitwise() 521 ), - 522 "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(), - 523 "CHARACTER SET": lambda self: self._parse_character_set(), - 524 "CHECKSUM": lambda self: self._parse_checksum(), - 525 "CLUSTER BY": lambda self: self.expression( - 526 exp.Cluster, expressions=self._parse_csv(self._parse_ordered) - 527 ), - 528 "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty), - 529 "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty), - 530 "DATABLOCKSIZE": lambda self: self._parse_datablocksize( - 531 default=self._prev.text.upper() == "DEFAULT" - 532 ), - 533 "DEFINER": lambda self: self._parse_definer(), - 534 "DETERMINISTIC": lambda self: self.expression( - 535 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") - 536 ), - 537 "DISTKEY": lambda self: self._parse_distkey(), - 538 "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty), - 539 "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty), - 540 "EXTERNAL": lambda self: self.expression(exp.ExternalProperty), - 541 "FALLBACK": lambda self: self._parse_fallback(no=self._prev.text.upper() == "NO"), - 542 "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty), - 543 "FREESPACE": lambda self: self._parse_freespace(), - 544 "GLOBAL": lambda self: self._parse_temporary(global_=True), - 545 "IMMUTABLE": lambda self: self.expression( - 546 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") - 547 ), - 548 "JOURNAL": lambda self: self._parse_journal( - 549 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 522 TokenType.SIMILAR_TO: lambda self, this: self.expression( + 523 exp.SimilarTo, this=this, expression=self._parse_bitwise() + 524 ), + 525 } + 526 + 527 PROPERTY_PARSERS = { + 528 "AFTER": lambda self: self._parse_afterjournal( + 529 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 530 ), + 531 "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty), + 532 "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty), + 533 "BEFORE": lambda self: self._parse_journal( + 534 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 535 ), + 536 "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(), + 537 "CHARACTER SET": lambda self: self._parse_character_set(), + 538 "CHECKSUM": lambda self: self._parse_checksum(), + 539 "CLUSTER BY": lambda self: self.expression( + 540 exp.Cluster, expressions=self._parse_csv(self._parse_ordered) + 541 ), + 542 "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty), + 543 "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty), + 544 "DATABLOCKSIZE": lambda self: self._parse_datablocksize( + 545 default=self._prev.text.upper() == "DEFAULT" + 546 ), + 547 "DEFINER": lambda self: self._parse_definer(), + 548 "DETERMINISTIC": lambda self: self.expression( + 549 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") 550 ), - 551 "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty), - 552 "LIKE": lambda self: self._parse_create_like(), - 553 "LOCAL": lambda self: self._parse_afterjournal(no=False, dual=False, local=True), - 554 "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty), - 555 "LOCK": lambda self: self._parse_locking(), - 556 "LOCKING": lambda self: self._parse_locking(), - 557 "LOG": lambda self: self._parse_log(no=self._prev.text.upper() == "NO"), - 558 "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty), - 559 "MAX": lambda self: self._parse_datablocksize(), - 560 "MAXIMUM": lambda self: self._parse_datablocksize(), - 561 "MERGEBLOCKRATIO": lambda self: self._parse_mergeblockratio( - 562 no=self._prev.text.upper() == "NO", default=self._prev.text.upper() == "DEFAULT" - 563 ), - 564 "MIN": lambda self: self._parse_datablocksize(), - 565 "MINIMUM": lambda self: self._parse_datablocksize(), - 566 "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True), - 567 "NO": lambda self: self._parse_noprimaryindex(), - 568 "NOT": lambda self: self._parse_afterjournal(no=False, dual=False, local=False), - 569 "ON": lambda self: self._parse_oncommit(), - 570 "PARTITION BY": lambda self: self._parse_partitioned_by(), - 571 "PARTITIONED BY": lambda self: self._parse_partitioned_by(), - 572 "PARTITIONED_BY": lambda self: self._parse_partitioned_by(), - 573 "RETURNS": lambda self: self._parse_returns(), - 574 "ROW": lambda self: self._parse_row(), - 575 "SET": lambda self: self.expression(exp.SetProperty, multi=False), - 576 "SORTKEY": lambda self: self._parse_sortkey(), - 577 "STABLE": lambda self: self.expression( - 578 exp.VolatilityProperty, this=exp.Literal.string("STABLE") - 579 ), - 580 "STORED": lambda self: self._parse_property_assignment(exp.FileFormatProperty), - 581 "TABLE_FORMAT": lambda self: self._parse_property_assignment(exp.TableFormatProperty), - 582 "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property), - 583 "TEMPORARY": lambda self: self._parse_temporary(global_=False), - 584 "TRANSIENT": lambda self: self.expression(exp.TransientProperty), - 585 "USING": lambda self: self._parse_property_assignment(exp.TableFormatProperty), - 586 "VOLATILE": lambda self: self.expression( - 587 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") - 588 ), - 589 "WITH": lambda self: self._parse_with_property(), - 590 } - 591 - 592 CONSTRAINT_PARSERS = { - 593 "AUTOINCREMENT": lambda self: self._parse_auto_increment(), - 594 "AUTO_INCREMENT": lambda self: self._parse_auto_increment(), - 595 "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False), - 596 "CHARACTER SET": lambda self: self.expression( - 597 exp.CharacterSetColumnConstraint, this=self._parse_var_or_string() - 598 ), - 599 "CHECK": lambda self: self.expression( - 600 exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction) - 601 ), - 602 "COLLATE": lambda self: self.expression( - 603 exp.CollateColumnConstraint, this=self._parse_var() - 604 ), - 605 "COMMENT": lambda self: self.expression( - 606 exp.CommentColumnConstraint, this=self._parse_string() - 607 ), - 608 "COMPRESS": lambda self: self._parse_compress(), - 609 "DEFAULT": lambda self: self.expression( - 610 exp.DefaultColumnConstraint, this=self._parse_bitwise() - 611 ), - 612 "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()), - 613 "FOREIGN KEY": lambda self: self._parse_foreign_key(), - 614 "FORMAT": lambda self: self.expression( - 615 exp.DateFormatColumnConstraint, this=self._parse_var_or_string() - 616 ), - 617 "GENERATED": lambda self: self._parse_generated_as_identity(), - 618 "IDENTITY": lambda self: self._parse_auto_increment(), - 619 "INLINE": lambda self: self._parse_inline(), - 620 "LIKE": lambda self: self._parse_create_like(), - 621 "NOT": lambda self: self._parse_not_constraint(), - 622 "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True), - 623 "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()), - 624 "PRIMARY KEY": lambda self: self._parse_primary_key(), - 625 "TITLE": lambda self: self.expression( - 626 exp.TitleColumnConstraint, this=self._parse_var_or_string() - 627 ), - 628 "UNIQUE": lambda self: self._parse_unique(), - 629 "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint), - 630 } - 631 - 632 SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"} - 633 - 634 NO_PAREN_FUNCTION_PARSERS = { - 635 TokenType.CASE: lambda self: self._parse_case(), - 636 TokenType.IF: lambda self: self._parse_if(), - 637 TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()), - 638 } - 639 - 640 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { - 641 "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST), - 642 "TRY_CONVERT": lambda self: self._parse_convert(False), - 643 "EXTRACT": lambda self: self._parse_extract(), - 644 "POSITION": lambda self: self._parse_position(), - 645 "SUBSTRING": lambda self: self._parse_substring(), - 646 "TRIM": lambda self: self._parse_trim(), - 647 "CAST": lambda self: self._parse_cast(self.STRICT_CAST), - 648 "TRY_CAST": lambda self: self._parse_cast(False), - 649 "STRING_AGG": lambda self: self._parse_string_agg(), - 650 } - 651 - 652 QUERY_MODIFIER_PARSERS = { - 653 "match": lambda self: self._parse_match_recognize(), - 654 "where": lambda self: self._parse_where(), - 655 "group": lambda self: self._parse_group(), - 656 "having": lambda self: self._parse_having(), - 657 "qualify": lambda self: self._parse_qualify(), - 658 "windows": lambda self: self._parse_window_clause(), - 659 "distribute": lambda self: self._parse_sort(TokenType.DISTRIBUTE_BY, exp.Distribute), - 660 "sort": lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), - 661 "cluster": lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), - 662 "order": lambda self: self._parse_order(), - 663 "limit": lambda self: self._parse_limit(), - 664 "offset": lambda self: self._parse_offset(), - 665 "lock": lambda self: self._parse_lock(), - 666 } - 667 - 668 SHOW_PARSERS: t.Dict[str, t.Callable] = {} - 669 SET_PARSERS: t.Dict[str, t.Callable] = {} - 670 - 671 MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table) - 672 - 673 CREATABLES = { - 674 TokenType.COLUMN, - 675 TokenType.FUNCTION, - 676 TokenType.INDEX, - 677 TokenType.PROCEDURE, - 678 TokenType.SCHEMA, - 679 TokenType.TABLE, - 680 TokenType.VIEW, - 681 } - 682 - 683 TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"} - 684 - 685 INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"} - 686 - 687 WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS} - 688 - 689 ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY} - 690 - 691 STRICT_CAST = True + 551 "DISTKEY": lambda self: self._parse_distkey(), + 552 "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty), + 553 "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty), + 554 "EXTERNAL": lambda self: self.expression(exp.ExternalProperty), + 555 "FALLBACK": lambda self: self._parse_fallback(no=self._prev.text.upper() == "NO"), + 556 "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty), + 557 "FREESPACE": lambda self: self._parse_freespace(), + 558 "GLOBAL": lambda self: self._parse_temporary(global_=True), + 559 "IMMUTABLE": lambda self: self.expression( + 560 exp.VolatilityProperty, this=exp.Literal.string("IMMUTABLE") + 561 ), + 562 "JOURNAL": lambda self: self._parse_journal( + 563 no=self._prev.text.upper() == "NO", dual=self._prev.text.upper() == "DUAL" + 564 ), + 565 "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty), + 566 "LIKE": lambda self: self._parse_create_like(), + 567 "LOCAL": lambda self: self._parse_afterjournal(no=False, dual=False, local=True), + 568 "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty), + 569 "LOCK": lambda self: self._parse_locking(), + 570 "LOCKING": lambda self: self._parse_locking(), + 571 "LOG": lambda self: self._parse_log(no=self._prev.text.upper() == "NO"), + 572 "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty), + 573 "MAX": lambda self: self._parse_datablocksize(), + 574 "MAXIMUM": lambda self: self._parse_datablocksize(), + 575 "MERGEBLOCKRATIO": lambda self: self._parse_mergeblockratio( + 576 no=self._prev.text.upper() == "NO", default=self._prev.text.upper() == "DEFAULT" + 577 ), + 578 "MIN": lambda self: self._parse_datablocksize(), + 579 "MINIMUM": lambda self: self._parse_datablocksize(), + 580 "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True), + 581 "NO": lambda self: self._parse_noprimaryindex(), + 582 "NOT": lambda self: self._parse_afterjournal(no=False, dual=False, local=False), + 583 "ON": lambda self: self._parse_oncommit(), + 584 "PARTITION BY": lambda self: self._parse_partitioned_by(), + 585 "PARTITIONED BY": lambda self: self._parse_partitioned_by(), + 586 "PARTITIONED_BY": lambda self: self._parse_partitioned_by(), + 587 "RETURNS": lambda self: self._parse_returns(), + 588 "ROW": lambda self: self._parse_row(), + 589 "SET": lambda self: self.expression(exp.SetProperty, multi=False), + 590 "SORTKEY": lambda self: self._parse_sortkey(), + 591 "STABLE": lambda self: self.expression( + 592 exp.VolatilityProperty, this=exp.Literal.string("STABLE") + 593 ), + 594 "STORED": lambda self: self._parse_property_assignment(exp.FileFormatProperty), + 595 "TABLE_FORMAT": lambda self: self._parse_property_assignment(exp.TableFormatProperty), + 596 "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property), + 597 "TEMPORARY": lambda self: self._parse_temporary(global_=False), + 598 "TRANSIENT": lambda self: self.expression(exp.TransientProperty), + 599 "USING": lambda self: self._parse_property_assignment(exp.TableFormatProperty), + 600 "VOLATILE": lambda self: self.expression( + 601 exp.VolatilityProperty, this=exp.Literal.string("VOLATILE") + 602 ), + 603 "WITH": lambda self: self._parse_with_property(), + 604 } + 605 + 606 CONSTRAINT_PARSERS = { + 607 "AUTOINCREMENT": lambda self: self._parse_auto_increment(), + 608 "AUTO_INCREMENT": lambda self: self._parse_auto_increment(), + 609 "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False), + 610 "CHARACTER SET": lambda self: self.expression( + 611 exp.CharacterSetColumnConstraint, this=self._parse_var_or_string() + 612 ), + 613 "CHECK": lambda self: self.expression( + 614 exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction) + 615 ), + 616 "COLLATE": lambda self: self.expression( + 617 exp.CollateColumnConstraint, this=self._parse_var() + 618 ), + 619 "COMMENT": lambda self: self.expression( + 620 exp.CommentColumnConstraint, this=self._parse_string() + 621 ), + 622 "COMPRESS": lambda self: self._parse_compress(), + 623 "DEFAULT": lambda self: self.expression( + 624 exp.DefaultColumnConstraint, this=self._parse_bitwise() + 625 ), + 626 "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()), + 627 "FOREIGN KEY": lambda self: self._parse_foreign_key(), + 628 "FORMAT": lambda self: self.expression( + 629 exp.DateFormatColumnConstraint, this=self._parse_var_or_string() + 630 ), + 631 "GENERATED": lambda self: self._parse_generated_as_identity(), + 632 "IDENTITY": lambda self: self._parse_auto_increment(), + 633 "INLINE": lambda self: self._parse_inline(), + 634 "LIKE": lambda self: self._parse_create_like(), + 635 "NOT": lambda self: self._parse_not_constraint(), + 636 "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True), + 637 "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()), + 638 "PRIMARY KEY": lambda self: self._parse_primary_key(), + 639 "TITLE": lambda self: self.expression( + 640 exp.TitleColumnConstraint, this=self._parse_var_or_string() + 641 ), + 642 "UNIQUE": lambda self: self._parse_unique(), + 643 "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint), + 644 } + 645 + 646 ALTER_PARSERS = { + 647 "ADD": lambda self: self._parse_alter_table_add(), + 648 "ALTER": lambda self: self._parse_alter_table_alter(), + 649 "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()), + 650 "DROP": lambda self: self._parse_alter_table_drop(), + 651 "RENAME": lambda self: self._parse_alter_table_rename(), + 652 } + 653 + 654 SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"} + 655 + 656 NO_PAREN_FUNCTION_PARSERS = { + 657 TokenType.CASE: lambda self: self._parse_case(), + 658 TokenType.IF: lambda self: self._parse_if(), + 659 TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()), + 660 } + 661 + 662 FUNCTION_PARSERS: t.Dict[str, t.Callable] = { + 663 "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST), + 664 "TRY_CONVERT": lambda self: self._parse_convert(False), + 665 "EXTRACT": lambda self: self._parse_extract(), + 666 "POSITION": lambda self: self._parse_position(), + 667 "SUBSTRING": lambda self: self._parse_substring(), + 668 "TRIM": lambda self: self._parse_trim(), + 669 "CAST": lambda self: self._parse_cast(self.STRICT_CAST), + 670 "TRY_CAST": lambda self: self._parse_cast(False), + 671 "STRING_AGG": lambda self: self._parse_string_agg(), + 672 } + 673 + 674 QUERY_MODIFIER_PARSERS = { + 675 "match": lambda self: self._parse_match_recognize(), + 676 "where": lambda self: self._parse_where(), + 677 "group": lambda self: self._parse_group(), + 678 "having": lambda self: self._parse_having(), + 679 "qualify": lambda self: self._parse_qualify(), + 680 "windows": lambda self: self._parse_window_clause(), + 681 "distribute": lambda self: self._parse_sort(TokenType.DISTRIBUTE_BY, exp.Distribute), + 682 "sort": lambda self: self._parse_sort(TokenType.SORT_BY, exp.Sort), + 683 "cluster": lambda self: self._parse_sort(TokenType.CLUSTER_BY, exp.Cluster), + 684 "order": lambda self: self._parse_order(), + 685 "limit": lambda self: self._parse_limit(), + 686 "offset": lambda self: self._parse_offset(), + 687 "lock": lambda self: self._parse_lock(), + 688 } + 689 + 690 SHOW_PARSERS: t.Dict[str, t.Callable] = {} + 691 SET_PARSERS: t.Dict[str, t.Callable] = {} 692 - 693 __slots__ = ( - 694 "error_level", - 695 "error_message_context", - 696 "sql", - 697 "errors", - 698 "index_offset", - 699 "unnest_column_only", - 700 "alias_post_tablesample", - 701 "max_errors", - 702 "null_ordering", - 703 "_tokens", - 704 "_index", - 705 "_curr", - 706 "_next", - 707 "_prev", - 708 "_prev_comments", - 709 "_show_trie", - 710 "_set_trie", - 711 ) - 712 - 713 def __init__( - 714 self, - 715 error_level: t.Optional[ErrorLevel] = None, - 716 error_message_context: int = 100, - 717 index_offset: int = 0, - 718 unnest_column_only: bool = False, - 719 alias_post_tablesample: bool = False, - 720 max_errors: int = 3, - 721 null_ordering: t.Optional[str] = None, - 722 ): - 723 self.error_level = error_level or ErrorLevel.IMMEDIATE - 724 self.error_message_context = error_message_context - 725 self.index_offset = index_offset - 726 self.unnest_column_only = unnest_column_only - 727 self.alias_post_tablesample = alias_post_tablesample - 728 self.max_errors = max_errors - 729 self.null_ordering = null_ordering - 730 self.reset() - 731 - 732 def reset(self): - 733 self.sql = "" - 734 self.errors = [] - 735 self._tokens = [] - 736 self._index = 0 - 737 self._curr = None - 738 self._next = None - 739 self._prev = None - 740 self._prev_comments = None - 741 - 742 def parse( - 743 self, raw_tokens: t.List[Token], sql: t.Optional[str] = None - 744 ) -> t.List[t.Optional[exp.Expression]]: - 745 """ - 746 Parses a list of tokens and returns a list of syntax trees, one tree - 747 per parsed SQL statement. - 748 - 749 Args: - 750 raw_tokens: the list of tokens. - 751 sql: the original SQL string, used to produce helpful debug messages. - 752 - 753 Returns: - 754 The list of syntax trees. - 755 """ - 756 return self._parse( - 757 parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql - 758 ) - 759 - 760 def parse_into( - 761 self, - 762 expression_types: exp.IntoType, - 763 raw_tokens: t.List[Token], - 764 sql: t.Optional[str] = None, - 765 ) -> t.List[t.Optional[exp.Expression]]: - 766 """ - 767 Parses a list of tokens into a given Expression type. If a collection of Expression - 768 types is given instead, this method will try to parse the token list into each one - 769 of them, stopping at the first for which the parsing succeeds. - 770 - 771 Args: - 772 expression_types: the expression type(s) to try and parse the token list into. - 773 raw_tokens: the list of tokens. - 774 sql: the original SQL string, used to produce helpful debug messages. - 775 - 776 Returns: - 777 The target Expression. - 778 """ - 779 errors = [] - 780 for expression_type in ensure_collection(expression_types): - 781 parser = self.EXPRESSION_PARSERS.get(expression_type) - 782 if not parser: - 783 raise TypeError(f"No parser registered for {expression_type}") - 784 try: - 785 return self._parse(parser, raw_tokens, sql) - 786 except ParseError as e: - 787 e.errors[0]["into_expression"] = expression_type - 788 errors.append(e) - 789 raise ParseError( - 790 f"Failed to parse into {expression_types}", - 791 errors=merge_errors(errors), - 792 ) from errors[-1] - 793 - 794 def _parse( - 795 self, - 796 parse_method: t.Callable[[Parser], t.Optional[exp.Expression]], - 797 raw_tokens: t.List[Token], - 798 sql: t.Optional[str] = None, - 799 ) -> t.List[t.Optional[exp.Expression]]: - 800 self.reset() - 801 self.sql = sql or "" - 802 total = len(raw_tokens) - 803 chunks: t.List[t.List[Token]] = [[]] - 804 - 805 for i, token in enumerate(raw_tokens): - 806 if token.token_type == TokenType.SEMICOLON: - 807 if i < total - 1: - 808 chunks.append([]) - 809 else: - 810 chunks[-1].append(token) - 811 - 812 expressions = [] - 813 - 814 for tokens in chunks: - 815 self._index = -1 - 816 self._tokens = tokens - 817 self._advance() - 818 - 819 expressions.append(parse_method(self)) - 820 - 821 if self._index < len(self._tokens): - 822 self.raise_error("Invalid expression / Unexpected token") + 693 MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table) + 694 + 695 TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"} + 696 + 697 INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"} + 698 + 699 WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS} + 700 + 701 ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY} + 702 + 703 STRICT_CAST = True + 704 + 705 __slots__ = ( + 706 "error_level", + 707 "error_message_context", + 708 "sql", + 709 "errors", + 710 "index_offset", + 711 "unnest_column_only", + 712 "alias_post_tablesample", + 713 "max_errors", + 714 "null_ordering", + 715 "_tokens", + 716 "_index", + 717 "_curr", + 718 "_next", + 719 "_prev", + 720 "_prev_comments", + 721 "_show_trie", + 722 "_set_trie", + 723 ) + 724 + 725 def __init__( + 726 self, + 727 error_level: t.Optional[ErrorLevel] = None, + 728 error_message_context: int = 100, + 729 index_offset: int = 0, + 730 unnest_column_only: bool = False, + 731 alias_post_tablesample: bool = False, + 732 max_errors: int = 3, + 733 null_ordering: t.Optional[str] = None, + 734 ): + 735 self.error_level = error_level or ErrorLevel.IMMEDIATE + 736 self.error_message_context = error_message_context + 737 self.index_offset = index_offset + 738 self.unnest_column_only = unnest_column_only + 739 self.alias_post_tablesample = alias_post_tablesample + 740 self.max_errors = max_errors + 741 self.null_ordering = null_ordering + 742 self.reset() + 743 + 744 def reset(self): + 745 self.sql = "" + 746 self.errors = [] + 747 self._tokens = [] + 748 self._index = 0 + 749 self._curr = None + 750 self._next = None + 751 self._prev = None + 752 self._prev_comments = None + 753 + 754 def parse( + 755 self, raw_tokens: t.List[Token], sql: t.Optional[str] = None + 756 ) -> t.List[t.Optional[exp.Expression]]: + 757 """ + 758 Parses a list of tokens and returns a list of syntax trees, one tree + 759 per parsed SQL statement. + 760 + 761 Args: + 762 raw_tokens: the list of tokens. + 763 sql: the original SQL string, used to produce helpful debug messages. + 764 + 765 Returns: + 766 The list of syntax trees. + 767 """ + 768 return self._parse( + 769 parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql + 770 ) + 771 + 772 def parse_into( + 773 self, + 774 expression_types: exp.IntoType, + 775 raw_tokens: t.List[Token], + 776 sql: t.Optional[str] = None, + 777 ) -> t.List[t.Optional[exp.Expression]]: + 778 """ + 779 Parses a list of tokens into a given Expression type. If a collection of Expression + 780 types is given instead, this method will try to parse the token list into each one + 781 of them, stopping at the first for which the parsing succeeds. + 782 + 783 Args: + 784 expression_types: the expression type(s) to try and parse the token list into. + 785 raw_tokens: the list of tokens. + 786 sql: the original SQL string, used to produce helpful debug messages. + 787 + 788 Returns: + 789 The target Expression. + 790 """ + 791 errors = [] + 792 for expression_type in ensure_collection(expression_types): + 793 parser = self.EXPRESSION_PARSERS.get(expression_type) + 794 if not parser: + 795 raise TypeError(f"No parser registered for {expression_type}") + 796 try: + 797 return self._parse(parser, raw_tokens, sql) + 798 except ParseError as e: + 799 e.errors[0]["into_expression"] = expression_type + 800 errors.append(e) + 801 raise ParseError( + 802 f"Failed to parse into {expression_types}", + 803 errors=merge_errors(errors), + 804 ) from errors[-1] + 805 + 806 def _parse( + 807 self, + 808 parse_method: t.Callable[[Parser], t.Optional[exp.Expression]], + 809 raw_tokens: t.List[Token], + 810 sql: t.Optional[str] = None, + 811 ) -> t.List[t.Optional[exp.Expression]]: + 812 self.reset() + 813 self.sql = sql or "" + 814 total = len(raw_tokens) + 815 chunks: t.List[t.List[Token]] = [[]] + 816 + 817 for i, token in enumerate(raw_tokens): + 818 if token.token_type == TokenType.SEMICOLON: + 819 if i < total - 1: + 820 chunks.append([]) + 821 else: + 822 chunks[-1].append(token) 823 - 824 self.check_errors() + 824 expressions = [] 825 - 826 return expressions - 827 - 828 def check_errors(self) -> None: - 829 """ - 830 Logs or raises any found errors, depending on the chosen error level setting. - 831 """ - 832 if self.error_level == ErrorLevel.WARN: - 833 for error in self.errors: - 834 logger.error(str(error)) - 835 elif self.error_level == ErrorLevel.RAISE and self.errors: - 836 raise ParseError( - 837 concat_messages(self.errors, self.max_errors), - 838 errors=merge_errors(self.errors), - 839 ) - 840 - 841 def raise_error(self, message: str, token: t.Optional[Token] = None) -> None: - 842 """ - 843 Appends an error in the list of recorded errors or raises it, depending on the chosen - 844 error level setting. - 845 """ - 846 token = token or self._curr or self._prev or Token.string("") - 847 start = self._find_token(token) - 848 end = start + len(token.text) - 849 start_context = self.sql[max(start - self.error_message_context, 0) : start] - 850 highlight = self.sql[start:end] - 851 end_context = self.sql[end : end + self.error_message_context] + 826 for tokens in chunks: + 827 self._index = -1 + 828 self._tokens = tokens + 829 self._advance() + 830 + 831 expressions.append(parse_method(self)) + 832 + 833 if self._index < len(self._tokens): + 834 self.raise_error("Invalid expression / Unexpected token") + 835 + 836 self.check_errors() + 837 + 838 return expressions + 839 + 840 def check_errors(self) -> None: + 841 """ + 842 Logs or raises any found errors, depending on the chosen error level setting. + 843 """ + 844 if self.error_level == ErrorLevel.WARN: + 845 for error in self.errors: + 846 logger.error(str(error)) + 847 elif self.error_level == ErrorLevel.RAISE and self.errors: + 848 raise ParseError( + 849 concat_messages(self.errors, self.max_errors), + 850 errors=merge_errors(self.errors), + 851 ) 852 - 853 error = ParseError.new( - 854 f"{message}. Line {token.line}, Col: {token.col}.\n" - 855 f" {start_context}\033[4m{highlight}\033[0m{end_context}", - 856 description=message, - 857 line=token.line, - 858 col=token.col, - 859 start_context=start_context, - 860 highlight=highlight, - 861 end_context=end_context, - 862 ) - 863 - 864 if self.error_level == ErrorLevel.IMMEDIATE: - 865 raise error - 866 - 867 self.errors.append(error) - 868 - 869 def expression( - 870 self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs - 871 ) -> exp.Expression: - 872 """ - 873 Creates a new, validated Expression. - 874 - 875 Args: - 876 exp_class: the expression class to instantiate. - 877 comments: an optional list of comments to attach to the expression. - 878 kwargs: the arguments to set for the expression along with their respective values. - 879 - 880 Returns: - 881 The target expression. - 882 """ - 883 instance = exp_class(**kwargs) - 884 if self._prev_comments: - 885 instance.comments = self._prev_comments - 886 self._prev_comments = None - 887 if comments: - 888 instance.comments = comments - 889 self.validate_expression(instance) - 890 return instance + 853 def raise_error(self, message: str, token: t.Optional[Token] = None) -> None: + 854 """ + 855 Appends an error in the list of recorded errors or raises it, depending on the chosen + 856 error level setting. + 857 """ + 858 token = token or self._curr or self._prev or Token.string("") + 859 start = self._find_token(token) + 860 end = start + len(token.text) + 861 start_context = self.sql[max(start - self.error_message_context, 0) : start] + 862 highlight = self.sql[start:end] + 863 end_context = self.sql[end : end + self.error_message_context] + 864 + 865 error = ParseError.new( + 866 f"{message}. Line {token.line}, Col: {token.col}.\n" + 867 f" {start_context}\033[4m{highlight}\033[0m{end_context}", + 868 description=message, + 869 line=token.line, + 870 col=token.col, + 871 start_context=start_context, + 872 highlight=highlight, + 873 end_context=end_context, + 874 ) + 875 + 876 if self.error_level == ErrorLevel.IMMEDIATE: + 877 raise error + 878 + 879 self.errors.append(error) + 880 + 881 def expression( + 882 self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs + 883 ) -> exp.Expression: + 884 """ + 885 Creates a new, validated Expression. + 886 + 887 Args: + 888 exp_class: the expression class to instantiate. + 889 comments: an optional list of comments to attach to the expression. + 890 kwargs: the arguments to set for the expression along with their respective values. 891 - 892 def validate_expression( - 893 self, expression: exp.Expression, args: t.Optional[t.List] = None - 894 ) -> None: - 895 """ - 896 Validates an already instantiated expression, making sure that all its mandatory arguments - 897 are set. - 898 - 899 Args: - 900 expression: the expression to validate. - 901 args: an optional list of items that was used to instantiate the expression, if it's a Func. - 902 """ - 903 if self.error_level == ErrorLevel.IGNORE: - 904 return - 905 - 906 for error_message in expression.error_messages(args): - 907 self.raise_error(error_message) - 908 - 909 def _find_sql(self, start: Token, end: Token) -> str: - 910 return self.sql[self._find_token(start) : self._find_token(end) + len(end.text)] - 911 - 912 def _find_token(self, token: Token) -> int: - 913 line = 1 - 914 col = 1 - 915 index = 0 - 916 - 917 while line < token.line or col < token.col: - 918 if Tokenizer.WHITE_SPACE.get(self.sql[index]) == TokenType.BREAK: - 919 line += 1 - 920 col = 1 - 921 else: - 922 col += 1 - 923 index += 1 - 924 - 925 return index - 926 - 927 def _advance(self, times: int = 1) -> None: - 928 self._index += times - 929 self._curr = seq_get(self._tokens, self._index) - 930 self._next = seq_get(self._tokens, self._index + 1) - 931 if self._index > 0: - 932 self._prev = self._tokens[self._index - 1] - 933 self._prev_comments = self._prev.comments - 934 else: - 935 self._prev = None - 936 self._prev_comments = None - 937 - 938 def _retreat(self, index: int) -> None: - 939 self._advance(index - self._index) - 940 - 941 def _parse_command(self) -> exp.Expression: - 942 return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string()) - 943 - 944 def _parse_statement(self) -> t.Optional[exp.Expression]: - 945 if self._curr is None: - 946 return None - 947 - 948 if self._match_set(self.STATEMENT_PARSERS): - 949 return self.STATEMENT_PARSERS[self._prev.token_type](self) - 950 - 951 if self._match_set(Tokenizer.COMMANDS): - 952 return self._parse_command() - 953 - 954 expression = self._parse_expression() - 955 expression = self._parse_set_operations(expression) if expression else self._parse_select() - 956 - 957 self._parse_query_modifiers(expression) - 958 return expression + 892 Returns: + 893 The target expression. + 894 """ + 895 instance = exp_class(**kwargs) + 896 if self._prev_comments: + 897 instance.comments = self._prev_comments + 898 self._prev_comments = None + 899 if comments: + 900 instance.comments = comments + 901 self.validate_expression(instance) + 902 return instance + 903 + 904 def validate_expression( + 905 self, expression: exp.Expression, args: t.Optional[t.List] = None + 906 ) -> None: + 907 """ + 908 Validates an already instantiated expression, making sure that all its mandatory arguments + 909 are set. + 910 + 911 Args: + 912 expression: the expression to validate. + 913 args: an optional list of items that was used to instantiate the expression, if it's a Func. + 914 """ + 915 if self.error_level == ErrorLevel.IGNORE: + 916 return + 917 + 918 for error_message in expression.error_messages(args): + 919 self.raise_error(error_message) + 920 + 921 def _find_sql(self, start: Token, end: Token) -> str: + 922 return self.sql[self._find_token(start) : self._find_token(end) + len(end.text)] + 923 + 924 def _find_token(self, token: Token) -> int: + 925 line = 1 + 926 col = 1 + 927 index = 0 + 928 + 929 while line < token.line or col < token.col: + 930 if Tokenizer.WHITE_SPACE.get(self.sql[index]) == TokenType.BREAK: + 931 line += 1 + 932 col = 1 + 933 else: + 934 col += 1 + 935 index += 1 + 936 + 937 return index + 938 + 939 def _advance(self, times: int = 1) -> None: + 940 self._index += times + 941 self._curr = seq_get(self._tokens, self._index) + 942 self._next = seq_get(self._tokens, self._index + 1) + 943 if self._index > 0: + 944 self._prev = self._tokens[self._index - 1] + 945 self._prev_comments = self._prev.comments + 946 else: + 947 self._prev = None + 948 self._prev_comments = None + 949 + 950 def _retreat(self, index: int) -> None: + 951 self._advance(index - self._index) + 952 + 953 def _parse_command(self) -> exp.Expression: + 954 return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string()) + 955 + 956 def _parse_comment(self, allow_exists: bool = True) -> exp.Expression: + 957 start = self._prev + 958 exists = self._parse_exists() if allow_exists else None 959 - 960 def _parse_drop(self, default_kind: t.Optional[str] = None) -> t.Optional[exp.Expression]: - 961 start = self._prev - 962 temporary = self._match(TokenType.TEMPORARY) - 963 materialized = self._match(TokenType.MATERIALIZED) - 964 kind = self._match_set(self.CREATABLES) and self._prev.text - 965 if not kind: - 966 if default_kind: - 967 kind = default_kind - 968 else: - 969 return self._parse_as_command(start) - 970 - 971 return self.expression( - 972 exp.Drop, - 973 exists=self._parse_exists(), - 974 this=self._parse_table(schema=True), - 975 kind=kind, - 976 temporary=temporary, - 977 materialized=materialized, - 978 cascade=self._match(TokenType.CASCADE), - 979 ) - 980 - 981 def _parse_exists(self, not_: bool = False) -> t.Optional[bool]: - 982 return ( - 983 self._match(TokenType.IF) - 984 and (not not_ or self._match(TokenType.NOT)) - 985 and self._match(TokenType.EXISTS) - 986 ) - 987 - 988 def _parse_create(self) -> t.Optional[exp.Expression]: - 989 start = self._prev - 990 replace = self._prev.text.upper() == "REPLACE" or self._match_pair( - 991 TokenType.OR, TokenType.REPLACE - 992 ) - 993 unique = self._match(TokenType.UNIQUE) + 960 self._match(TokenType.ON) + 961 + 962 kind = self._match_set(self.CREATABLES) and self._prev + 963 + 964 if not kind: + 965 return self._parse_as_command(start) + 966 + 967 if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): + 968 this = self._parse_user_defined_function(kind=kind.token_type) + 969 elif kind.token_type == TokenType.TABLE: + 970 this = self._parse_table() + 971 elif kind.token_type == TokenType.COLUMN: + 972 this = self._parse_column() + 973 else: + 974 this = self._parse_id_var() + 975 + 976 self._match(TokenType.IS) + 977 + 978 return self.expression( + 979 exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists + 980 ) + 981 + 982 def _parse_statement(self) -> t.Optional[exp.Expression]: + 983 if self._curr is None: + 984 return None + 985 + 986 if self._match_set(self.STATEMENT_PARSERS): + 987 return self.STATEMENT_PARSERS[self._prev.token_type](self) + 988 + 989 if self._match_set(Tokenizer.COMMANDS): + 990 return self._parse_command() + 991 + 992 expression = self._parse_expression() + 993 expression = self._parse_set_operations(expression) if expression else self._parse_select() 994 - 995 if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False): - 996 self._match(TokenType.TABLE) + 995 self._parse_query_modifiers(expression) + 996 return expression 997 - 998 properties = None - 999 create_token = self._match_set(self.CREATABLES) and self._prev -1000 -1001 if not create_token: -1002 properties = self._parse_properties() # exp.Properties.Location.POST_CREATE -1003 create_token = self._match_set(self.CREATABLES) and self._prev -1004 -1005 if not properties or not create_token: -1006 return self._parse_as_command(start) -1007 -1008 exists = self._parse_exists(not_=True) -1009 this = None -1010 expression = None -1011 indexes = None -1012 no_schema_binding = None -1013 begin = None -1014 -1015 if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): -1016 this = self._parse_user_defined_function(kind=create_token.token_type) -1017 temp_properties = self._parse_properties() -1018 if properties and temp_properties: -1019 properties.expressions.extend(temp_properties.expressions) -1020 elif temp_properties: -1021 properties = temp_properties -1022 -1023 self._match(TokenType.ALIAS) -1024 begin = self._match(TokenType.BEGIN) -1025 return_ = self._match_text_seq("RETURN") -1026 expression = self._parse_statement() -1027 -1028 if return_: -1029 expression = self.expression(exp.Return, this=expression) -1030 elif create_token.token_type == TokenType.INDEX: -1031 this = self._parse_index() -1032 elif create_token.token_type in ( -1033 TokenType.TABLE, -1034 TokenType.VIEW, -1035 TokenType.SCHEMA, -1036 ): -1037 table_parts = self._parse_table_parts(schema=True) -1038 -1039 # exp.Properties.Location.POST_NAME -1040 if self._match(TokenType.COMMA): -1041 temp_properties = self._parse_properties(before=True) -1042 if properties and temp_properties: -1043 properties.expressions.extend(temp_properties.expressions) -1044 elif temp_properties: -1045 properties = temp_properties + 998 def _parse_drop(self, default_kind: t.Optional[str] = None) -> t.Optional[exp.Expression]: + 999 start = self._prev +1000 temporary = self._match(TokenType.TEMPORARY) +1001 materialized = self._match(TokenType.MATERIALIZED) +1002 kind = self._match_set(self.CREATABLES) and self._prev.text +1003 if not kind: +1004 if default_kind: +1005 kind = default_kind +1006 else: +1007 return self._parse_as_command(start) +1008 +1009 return self.expression( +1010 exp.Drop, +1011 exists=self._parse_exists(), +1012 this=self._parse_table(schema=True), +1013 kind=kind, +1014 temporary=temporary, +1015 materialized=materialized, +1016 cascade=self._match(TokenType.CASCADE), +1017 ) +1018 +1019 def _parse_exists(self, not_: bool = False) -> t.Optional[bool]: +1020 return ( +1021 self._match(TokenType.IF) +1022 and (not not_ or self._match(TokenType.NOT)) +1023 and self._match(TokenType.EXISTS) +1024 ) +1025 +1026 def _parse_create(self) -> t.Optional[exp.Expression]: +1027 start = self._prev +1028 replace = self._prev.text.upper() == "REPLACE" or self._match_pair( +1029 TokenType.OR, TokenType.REPLACE +1030 ) +1031 unique = self._match(TokenType.UNIQUE) +1032 volatile = self._match(TokenType.VOLATILE) +1033 +1034 if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False): +1035 self._match(TokenType.TABLE) +1036 +1037 properties = None +1038 create_token = self._match_set(self.CREATABLES) and self._prev +1039 +1040 if not create_token: +1041 properties = self._parse_properties() # exp.Properties.Location.POST_CREATE +1042 create_token = self._match_set(self.CREATABLES) and self._prev +1043 +1044 if not properties or not create_token: +1045 return self._parse_as_command(start) 1046 -1047 this = self._parse_schema(this=table_parts) -1048 -1049 # exp.Properties.Location.POST_SCHEMA and POST_WITH -1050 temp_properties = self._parse_properties() -1051 if properties and temp_properties: -1052 properties.expressions.extend(temp_properties.expressions) -1053 elif temp_properties: -1054 properties = temp_properties -1055 -1056 self._match(TokenType.ALIAS) -1057 -1058 # exp.Properties.Location.POST_ALIAS -1059 if not ( -1060 self._match(TokenType.SELECT, advance=False) -1061 or self._match(TokenType.WITH, advance=False) -1062 or self._match(TokenType.L_PAREN, advance=False) -1063 ): -1064 temp_properties = self._parse_properties() -1065 if properties and temp_properties: -1066 properties.expressions.extend(temp_properties.expressions) -1067 elif temp_properties: -1068 properties = temp_properties -1069 -1070 expression = self._parse_ddl_select() -1071 -1072 if create_token.token_type == TokenType.TABLE: -1073 # exp.Properties.Location.POST_EXPRESSION -1074 temp_properties = self._parse_properties() -1075 if properties and temp_properties: -1076 properties.expressions.extend(temp_properties.expressions) -1077 elif temp_properties: -1078 properties = temp_properties -1079 -1080 indexes = [] -1081 while True: -1082 index = self._parse_create_table_index() +1047 exists = self._parse_exists(not_=True) +1048 this = None +1049 expression = None +1050 indexes = None +1051 no_schema_binding = None +1052 begin = None +1053 +1054 if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE): +1055 this = self._parse_user_defined_function(kind=create_token.token_type) +1056 temp_properties = self._parse_properties() +1057 if properties and temp_properties: +1058 properties.expressions.extend(temp_properties.expressions) +1059 elif temp_properties: +1060 properties = temp_properties +1061 +1062 self._match(TokenType.ALIAS) +1063 begin = self._match(TokenType.BEGIN) +1064 return_ = self._match_text_seq("RETURN") +1065 expression = self._parse_statement() +1066 +1067 if return_: +1068 expression = self.expression(exp.Return, this=expression) +1069 elif create_token.token_type == TokenType.INDEX: +1070 this = self._parse_index() +1071 elif create_token.token_type in self.DB_CREATABLES: +1072 table_parts = self._parse_table_parts(schema=True) +1073 +1074 # exp.Properties.Location.POST_NAME +1075 if self._match(TokenType.COMMA): +1076 temp_properties = self._parse_properties(before=True) +1077 if properties and temp_properties: +1078 properties.expressions.extend(temp_properties.expressions) +1079 elif temp_properties: +1080 properties = temp_properties +1081 +1082 this = self._parse_schema(this=table_parts) 1083 -1084 # exp.Properties.Location.POST_INDEX -1085 if self._match(TokenType.PARTITION_BY, advance=False): -1086 temp_properties = self._parse_properties() -1087 if properties and temp_properties: -1088 properties.expressions.extend(temp_properties.expressions) -1089 elif temp_properties: -1090 properties = temp_properties -1091 -1092 if not index: -1093 break -1094 else: -1095 indexes.append(index) -1096 elif create_token.token_type == TokenType.VIEW: -1097 if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"): -1098 no_schema_binding = True -1099 -1100 return self.expression( -1101 exp.Create, -1102 this=this, -1103 kind=create_token.text, -1104 unique=unique, -1105 expression=expression, -1106 exists=exists, -1107 properties=properties, -1108 replace=replace, -1109 indexes=indexes, -1110 no_schema_binding=no_schema_binding, -1111 begin=begin, -1112 ) -1113 -1114 def _parse_property_before(self) -> t.Optional[exp.Expression]: -1115 self._match(TokenType.COMMA) -1116 -1117 # parsers look to _prev for no/dual/default, so need to consume first -1118 self._match_text_seq("NO") -1119 self._match_text_seq("DUAL") -1120 self._match_text_seq("DEFAULT") -1121 -1122 if self.PROPERTY_PARSERS.get(self._curr.text.upper()): -1123 return self.PROPERTY_PARSERS[self._curr.text.upper()](self) -1124 -1125 return None +1084 # exp.Properties.Location.POST_SCHEMA and POST_WITH +1085 temp_properties = self._parse_properties() +1086 if properties and temp_properties: +1087 properties.expressions.extend(temp_properties.expressions) +1088 elif temp_properties: +1089 properties = temp_properties +1090 +1091 self._match(TokenType.ALIAS) +1092 +1093 # exp.Properties.Location.POST_ALIAS +1094 if not ( +1095 self._match(TokenType.SELECT, advance=False) +1096 or self._match(TokenType.WITH, advance=False) +1097 or self._match(TokenType.L_PAREN, advance=False) +1098 ): +1099 temp_properties = self._parse_properties() +1100 if properties and temp_properties: +1101 properties.expressions.extend(temp_properties.expressions) +1102 elif temp_properties: +1103 properties = temp_properties +1104 +1105 expression = self._parse_ddl_select() +1106 +1107 if create_token.token_type == TokenType.TABLE: +1108 # exp.Properties.Location.POST_EXPRESSION +1109 temp_properties = self._parse_properties() +1110 if properties and temp_properties: +1111 properties.expressions.extend(temp_properties.expressions) +1112 elif temp_properties: +1113 properties = temp_properties +1114 +1115 indexes = [] +1116 while True: +1117 index = self._parse_create_table_index() +1118 +1119 # exp.Properties.Location.POST_INDEX +1120 if self._match(TokenType.PARTITION_BY, advance=False): +1121 temp_properties = self._parse_properties() +1122 if properties and temp_properties: +1123 properties.expressions.extend(temp_properties.expressions) +1124 elif temp_properties: +1125 properties = temp_properties 1126 -1127 def _parse_property(self) -> t.Optional[exp.Expression]: -1128 if self._match_texts(self.PROPERTY_PARSERS): -1129 return self.PROPERTY_PARSERS[self._prev.text.upper()](self) -1130 -1131 if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET): -1132 return self._parse_character_set(default=True) -1133 -1134 if self._match_pair(TokenType.COMPOUND, TokenType.SORTKEY): -1135 return self._parse_sortkey(compound=True) -1136 -1137 if self._match_text_seq("SQL", "SECURITY"): -1138 return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER")) -1139 -1140 assignment = self._match_pair( -1141 TokenType.VAR, TokenType.EQ, advance=False -1142 ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False) -1143 -1144 if assignment: -1145 key = self._parse_var_or_string() -1146 self._match(TokenType.EQ) -1147 return self.expression(exp.Property, this=key, value=self._parse_column()) -1148 -1149 return None -1150 -1151 def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression: -1152 self._match(TokenType.EQ) -1153 self._match(TokenType.ALIAS) -1154 return self.expression( -1155 exp_class, -1156 this=self._parse_var_or_string() or self._parse_number() or self._parse_id_var(), -1157 ) -1158 -1159 def _parse_properties(self, before=None) -> t.Optional[exp.Expression]: -1160 properties = [] -1161 -1162 while True: -1163 if before: -1164 identified_property = self._parse_property_before() -1165 else: -1166 identified_property = self._parse_property() -1167 -1168 if not identified_property: -1169 break -1170 for p in ensure_collection(identified_property): -1171 properties.append(p) +1127 if not index: +1128 break +1129 else: +1130 indexes.append(index) +1131 elif create_token.token_type == TokenType.VIEW: +1132 if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"): +1133 no_schema_binding = True +1134 +1135 return self.expression( +1136 exp.Create, +1137 this=this, +1138 kind=create_token.text, +1139 replace=replace, +1140 unique=unique, +1141 volatile=volatile, +1142 expression=expression, +1143 exists=exists, +1144 properties=properties, +1145 indexes=indexes, +1146 no_schema_binding=no_schema_binding, +1147 begin=begin, +1148 ) +1149 +1150 def _parse_property_before(self) -> t.Optional[exp.Expression]: +1151 self._match(TokenType.COMMA) +1152 +1153 # parsers look to _prev for no/dual/default, so need to consume first +1154 self._match_text_seq("NO") +1155 self._match_text_seq("DUAL") +1156 self._match_text_seq("DEFAULT") +1157 +1158 if self.PROPERTY_PARSERS.get(self._curr.text.upper()): +1159 return self.PROPERTY_PARSERS[self._curr.text.upper()](self) +1160 +1161 return None +1162 +1163 def _parse_property(self) -> t.Optional[exp.Expression]: +1164 if self._match_texts(self.PROPERTY_PARSERS): +1165 return self.PROPERTY_PARSERS[self._prev.text.upper()](self) +1166 +1167 if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET): +1168 return self._parse_character_set(default=True) +1169 +1170 if self._match_pair(TokenType.COMPOUND, TokenType.SORTKEY): +1171 return self._parse_sortkey(compound=True) 1172 -1173 if properties: -1174 return self.expression(exp.Properties, expressions=properties) +1173 if self._match_text_seq("SQL", "SECURITY"): +1174 return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER")) 1175 -1176 return None -1177 -1178 def _parse_fallback(self, no=False) -> exp.Expression: -1179 self._match_text_seq("FALLBACK") -1180 return self.expression( -1181 exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION") -1182 ) -1183 -1184 def _parse_with_property( -1185 self, -1186 ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]: -1187 self._match(TokenType.WITH) -1188 if self._match(TokenType.L_PAREN, advance=False): -1189 return self._parse_wrapped_csv(self._parse_property) -1190 -1191 if self._match_text_seq("JOURNAL"): -1192 return self._parse_withjournaltable() -1193 -1194 if self._match_text_seq("DATA"): -1195 return self._parse_withdata(no=False) -1196 elif self._match_text_seq("NO", "DATA"): -1197 return self._parse_withdata(no=True) -1198 -1199 if not self._next: -1200 return None -1201 -1202 return self._parse_withisolatedloading() +1176 assignment = self._match_pair( +1177 TokenType.VAR, TokenType.EQ, advance=False +1178 ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False) +1179 +1180 if assignment: +1181 key = self._parse_var_or_string() +1182 self._match(TokenType.EQ) +1183 return self.expression(exp.Property, this=key, value=self._parse_column()) +1184 +1185 return None +1186 +1187 def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression: +1188 self._match(TokenType.EQ) +1189 self._match(TokenType.ALIAS) +1190 return self.expression( +1191 exp_class, +1192 this=self._parse_var_or_string() or self._parse_number() or self._parse_id_var(), +1193 ) +1194 +1195 def _parse_properties(self, before=None) -> t.Optional[exp.Expression]: +1196 properties = [] +1197 +1198 while True: +1199 if before: +1200 identified_property = self._parse_property_before() +1201 else: +1202 identified_property = self._parse_property() 1203 -1204 # https://dev.mysql.com/doc/refman/8.0/en/create-view.html -1205 def _parse_definer(self) -> t.Optional[exp.Expression]: -1206 self._match(TokenType.EQ) -1207 -1208 user = self._parse_id_var() -1209 self._match(TokenType.PARAMETER) -1210 host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text) +1204 if not identified_property: +1205 break +1206 for p in ensure_collection(identified_property): +1207 properties.append(p) +1208 +1209 if properties: +1210 return self.expression(exp.Properties, expressions=properties) 1211 -1212 if not user or not host: -1213 return None -1214 -1215 return exp.DefinerProperty(this=f"{user}@{host}") -1216 -1217 def _parse_withjournaltable(self) -> exp.Expression: -1218 self._match(TokenType.TABLE) -1219 self._match(TokenType.EQ) -1220 return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts()) -1221 -1222 def _parse_log(self, no=False) -> exp.Expression: -1223 self._match_text_seq("LOG") -1224 return self.expression(exp.LogProperty, no=no) -1225 -1226 def _parse_journal(self, no=False, dual=False) -> exp.Expression: -1227 before = self._match_text_seq("BEFORE") -1228 self._match_text_seq("JOURNAL") -1229 return self.expression(exp.JournalProperty, no=no, dual=dual, before=before) -1230 -1231 def _parse_afterjournal(self, no=False, dual=False, local=None) -> exp.Expression: -1232 self._match_text_seq("NOT") -1233 self._match_text_seq("LOCAL") -1234 self._match_text_seq("AFTER", "JOURNAL") -1235 return self.expression(exp.AfterJournalProperty, no=no, dual=dual, local=local) -1236 -1237 def _parse_checksum(self) -> exp.Expression: -1238 self._match_text_seq("CHECKSUM") -1239 self._match(TokenType.EQ) -1240 -1241 on = None -1242 if self._match(TokenType.ON): -1243 on = True -1244 elif self._match_text_seq("OFF"): -1245 on = False -1246 default = self._match(TokenType.DEFAULT) +1212 return None +1213 +1214 def _parse_fallback(self, no=False) -> exp.Expression: +1215 self._match_text_seq("FALLBACK") +1216 return self.expression( +1217 exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION") +1218 ) +1219 +1220 def _parse_with_property( +1221 self, +1222 ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]: +1223 self._match(TokenType.WITH) +1224 if self._match(TokenType.L_PAREN, advance=False): +1225 return self._parse_wrapped_csv(self._parse_property) +1226 +1227 if self._match_text_seq("JOURNAL"): +1228 return self._parse_withjournaltable() +1229 +1230 if self._match_text_seq("DATA"): +1231 return self._parse_withdata(no=False) +1232 elif self._match_text_seq("NO", "DATA"): +1233 return self._parse_withdata(no=True) +1234 +1235 if not self._next: +1236 return None +1237 +1238 return self._parse_withisolatedloading() +1239 +1240 # https://dev.mysql.com/doc/refman/8.0/en/create-view.html +1241 def _parse_definer(self) -> t.Optional[exp.Expression]: +1242 self._match(TokenType.EQ) +1243 +1244 user = self._parse_id_var() +1245 self._match(TokenType.PARAMETER) +1246 host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text) 1247 -1248 return self.expression( -1249 exp.ChecksumProperty, -1250 on=on, -1251 default=default, -1252 ) -1253 -1254 def _parse_freespace(self) -> exp.Expression: -1255 self._match_text_seq("FREESPACE") -1256 self._match(TokenType.EQ) -1257 return self.expression( -1258 exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT) -1259 ) -1260 -1261 def _parse_mergeblockratio(self, no=False, default=False) -> exp.Expression: -1262 self._match_text_seq("MERGEBLOCKRATIO") -1263 if self._match(TokenType.EQ): -1264 return self.expression( -1265 exp.MergeBlockRatioProperty, -1266 this=self._parse_number(), -1267 percent=self._match(TokenType.PERCENT), -1268 ) -1269 else: -1270 return self.expression( -1271 exp.MergeBlockRatioProperty, -1272 no=no, -1273 default=default, -1274 ) -1275 -1276 def _parse_datablocksize(self, default=None) -> exp.Expression: -1277 if default: -1278 self._match_text_seq("DATABLOCKSIZE") -1279 return self.expression(exp.DataBlocksizeProperty, default=True) -1280 elif self._match_texts(("MIN", "MINIMUM")): -1281 self._match_text_seq("DATABLOCKSIZE") -1282 return self.expression(exp.DataBlocksizeProperty, min=True) -1283 elif self._match_texts(("MAX", "MAXIMUM")): -1284 self._match_text_seq("DATABLOCKSIZE") -1285 return self.expression(exp.DataBlocksizeProperty, min=False) -1286 -1287 self._match_text_seq("DATABLOCKSIZE") -1288 self._match(TokenType.EQ) -1289 size = self._parse_number() -1290 units = None -1291 if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")): -1292 units = self._prev.text -1293 return self.expression(exp.DataBlocksizeProperty, size=size, units=units) -1294 -1295 def _parse_blockcompression(self) -> exp.Expression: -1296 self._match_text_seq("BLOCKCOMPRESSION") -1297 self._match(TokenType.EQ) -1298 always = self._match_text_seq("ALWAYS") -1299 manual = self._match_text_seq("MANUAL") -1300 never = self._match_text_seq("NEVER") -1301 default = self._match_text_seq("DEFAULT") -1302 autotemp = None -1303 if self._match_text_seq("AUTOTEMP"): -1304 autotemp = self._parse_schema() -1305 -1306 return self.expression( -1307 exp.BlockCompressionProperty, -1308 always=always, -1309 manual=manual, -1310 never=never, -1311 default=default, -1312 autotemp=autotemp, -1313 ) -1314 -1315 def _parse_withisolatedloading(self) -> exp.Expression: -1316 no = self._match_text_seq("NO") -1317 concurrent = self._match_text_seq("CONCURRENT") -1318 self._match_text_seq("ISOLATED", "LOADING") -1319 for_all = self._match_text_seq("FOR", "ALL") -1320 for_insert = self._match_text_seq("FOR", "INSERT") -1321 for_none = self._match_text_seq("FOR", "NONE") -1322 return self.expression( -1323 exp.IsolatedLoadingProperty, -1324 no=no, -1325 concurrent=concurrent, -1326 for_all=for_all, -1327 for_insert=for_insert, -1328 for_none=for_none, -1329 ) +1248 if not user or not host: +1249 return None +1250 +1251 return exp.DefinerProperty(this=f"{user}@{host}") +1252 +1253 def _parse_withjournaltable(self) -> exp.Expression: +1254 self._match(TokenType.TABLE) +1255 self._match(TokenType.EQ) +1256 return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts()) +1257 +1258 def _parse_log(self, no=False) -> exp.Expression: +1259 self._match_text_seq("LOG") +1260 return self.expression(exp.LogProperty, no=no) +1261 +1262 def _parse_journal(self, no=False, dual=False) -> exp.Expression: +1263 before = self._match_text_seq("BEFORE") +1264 self._match_text_seq("JOURNAL") +1265 return self.expression(exp.JournalProperty, no=no, dual=dual, before=before) +1266 +1267 def _parse_afterjournal(self, no=False, dual=False, local=None) -> exp.Expression: +1268 self._match_text_seq("NOT") +1269 self._match_text_seq("LOCAL") +1270 self._match_text_seq("AFTER", "JOURNAL") +1271 return self.expression(exp.AfterJournalProperty, no=no, dual=dual, local=local) +1272 +1273 def _parse_checksum(self) -> exp.Expression: +1274 self._match_text_seq("CHECKSUM") +1275 self._match(TokenType.EQ) +1276 +1277 on = None +1278 if self._match(TokenType.ON): +1279 on = True +1280 elif self._match_text_seq("OFF"): +1281 on = False +1282 default = self._match(TokenType.DEFAULT) +1283 +1284 return self.expression( +1285 exp.ChecksumProperty, +1286 on=on, +1287 default=default, +1288 ) +1289 +1290 def _parse_freespace(self) -> exp.Expression: +1291 self._match_text_seq("FREESPACE") +1292 self._match(TokenType.EQ) +1293 return self.expression( +1294 exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT) +1295 ) +1296 +1297 def _parse_mergeblockratio(self, no=False, default=False) -> exp.Expression: +1298 self._match_text_seq("MERGEBLOCKRATIO") +1299 if self._match(TokenType.EQ): +1300 return self.expression( +1301 exp.MergeBlockRatioProperty, +1302 this=self._parse_number(), +1303 percent=self._match(TokenType.PERCENT), +1304 ) +1305 else: +1306 return self.expression( +1307 exp.MergeBlockRatioProperty, +1308 no=no, +1309 default=default, +1310 ) +1311 +1312 def _parse_datablocksize(self, default=None) -> exp.Expression: +1313 if default: +1314 self._match_text_seq("DATABLOCKSIZE") +1315 return self.expression(exp.DataBlocksizeProperty, default=True) +1316 elif self._match_texts(("MIN", "MINIMUM")): +1317 self._match_text_seq("DATABLOCKSIZE") +1318 return self.expression(exp.DataBlocksizeProperty, min=True) +1319 elif self._match_texts(("MAX", "MAXIMUM")): +1320 self._match_text_seq("DATABLOCKSIZE") +1321 return self.expression(exp.DataBlocksizeProperty, min=False) +1322 +1323 self._match_text_seq("DATABLOCKSIZE") +1324 self._match(TokenType.EQ) +1325 size = self._parse_number() +1326 units = None +1327 if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")): +1328 units = self._prev.text +1329 return self.expression(exp.DataBlocksizeProperty, size=size, units=units) 1330 -1331 def _parse_locking(self) -> exp.Expression: -1332 if self._match(TokenType.TABLE): -1333 kind = "TABLE" -1334 elif self._match(TokenType.VIEW): -1335 kind = "VIEW" -1336 elif self._match(TokenType.ROW): -1337 kind = "ROW" -1338 elif self._match_text_seq("DATABASE"): -1339 kind = "DATABASE" -1340 else: -1341 kind = None -1342 -1343 if kind in ("DATABASE", "TABLE", "VIEW"): -1344 this = self._parse_table_parts() -1345 else: -1346 this = None -1347 -1348 if self._match(TokenType.FOR): -1349 for_or_in = "FOR" -1350 elif self._match(TokenType.IN): -1351 for_or_in = "IN" -1352 else: -1353 for_or_in = None -1354 -1355 if self._match_text_seq("ACCESS"): -1356 lock_type = "ACCESS" -1357 elif self._match_texts(("EXCL", "EXCLUSIVE")): -1358 lock_type = "EXCLUSIVE" -1359 elif self._match_text_seq("SHARE"): -1360 lock_type = "SHARE" -1361 elif self._match_text_seq("READ"): -1362 lock_type = "READ" -1363 elif self._match_text_seq("WRITE"): -1364 lock_type = "WRITE" -1365 elif self._match_text_seq("CHECKSUM"): -1366 lock_type = "CHECKSUM" -1367 else: -1368 lock_type = None -1369 -1370 override = self._match_text_seq("OVERRIDE") -1371 -1372 return self.expression( -1373 exp.LockingProperty, -1374 this=this, -1375 kind=kind, -1376 for_or_in=for_or_in, -1377 lock_type=lock_type, -1378 override=override, -1379 ) -1380 -1381 def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]: -1382 if self._match(TokenType.PARTITION_BY): -1383 return self._parse_csv(self._parse_conjunction) -1384 return [] -1385 -1386 def _parse_partitioned_by(self) -> exp.Expression: -1387 self._match(TokenType.EQ) -1388 return self.expression( -1389 exp.PartitionedByProperty, -1390 this=self._parse_schema() or self._parse_bracket(self._parse_field()), -1391 ) -1392 -1393 def _parse_withdata(self, no=False) -> exp.Expression: -1394 if self._match_text_seq("AND", "STATISTICS"): -1395 statistics = True -1396 elif self._match_text_seq("AND", "NO", "STATISTICS"): -1397 statistics = False -1398 else: -1399 statistics = None -1400 -1401 return self.expression(exp.WithDataProperty, no=no, statistics=statistics) -1402 -1403 def _parse_noprimaryindex(self) -> exp.Expression: -1404 self._match_text_seq("PRIMARY", "INDEX") -1405 return exp.NoPrimaryIndexProperty() -1406 -1407 def _parse_oncommit(self) -> exp.Expression: -1408 self._match_text_seq("COMMIT", "PRESERVE", "ROWS") -1409 return exp.OnCommitProperty() -1410 -1411 def _parse_distkey(self) -> exp.Expression: -1412 return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var)) -1413 -1414 def _parse_create_like(self) -> t.Optional[exp.Expression]: -1415 table = self._parse_table(schema=True) -1416 options = [] -1417 while self._match_texts(("INCLUDING", "EXCLUDING")): -1418 this = self._prev.text.upper() -1419 id_var = self._parse_id_var() -1420 -1421 if not id_var: -1422 return None -1423 -1424 options.append( -1425 self.expression( -1426 exp.Property, -1427 this=this, -1428 value=exp.Var(this=id_var.this.upper()), -1429 ) -1430 ) -1431 return self.expression(exp.LikeProperty, this=table, expressions=options) -1432 -1433 def _parse_sortkey(self, compound: bool = False) -> exp.Expression: -1434 return self.expression( -1435 exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound -1436 ) -1437 -1438 def _parse_character_set(self, default: bool = False) -> exp.Expression: -1439 self._match(TokenType.EQ) -1440 return self.expression( -1441 exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default -1442 ) -1443 -1444 def _parse_returns(self) -> exp.Expression: -1445 value: t.Optional[exp.Expression] -1446 is_table = self._match(TokenType.TABLE) -1447 -1448 if is_table: -1449 if self._match(TokenType.LT): -1450 value = self.expression( -1451 exp.Schema, -1452 this="TABLE", -1453 expressions=self._parse_csv(self._parse_struct_kwargs), -1454 ) -1455 if not self._match(TokenType.GT): -1456 self.raise_error("Expecting >") -1457 else: -1458 value = self._parse_schema(exp.Var(this="TABLE")) -1459 else: -1460 value = self._parse_types() -1461 -1462 return self.expression(exp.ReturnsProperty, this=value, is_table=is_table) -1463 -1464 def _parse_temporary(self, global_=False) -> exp.Expression: -1465 self._match(TokenType.TEMPORARY) # in case calling from "GLOBAL" -1466 return self.expression(exp.TemporaryProperty, global_=global_) -1467 -1468 def _parse_describe(self) -> exp.Expression: -1469 kind = self._match_set(self.CREATABLES) and self._prev.text -1470 this = self._parse_table() -1471 -1472 return self.expression(exp.Describe, this=this, kind=kind) +1331 def _parse_blockcompression(self) -> exp.Expression: +1332 self._match_text_seq("BLOCKCOMPRESSION") +1333 self._match(TokenType.EQ) +1334 always = self._match_text_seq("ALWAYS") +1335 manual = self._match_text_seq("MANUAL") +1336 never = self._match_text_seq("NEVER") +1337 default = self._match_text_seq("DEFAULT") +1338 autotemp = None +1339 if self._match_text_seq("AUTOTEMP"): +1340 autotemp = self._parse_schema() +1341 +1342 return self.expression( +1343 exp.BlockCompressionProperty, +1344 always=always, +1345 manual=manual, +1346 never=never, +1347 default=default, +1348 autotemp=autotemp, +1349 ) +1350 +1351 def _parse_withisolatedloading(self) -> exp.Expression: +1352 no = self._match_text_seq("NO") +1353 concurrent = self._match_text_seq("CONCURRENT") +1354 self._match_text_seq("ISOLATED", "LOADING") +1355 for_all = self._match_text_seq("FOR", "ALL") +1356 for_insert = self._match_text_seq("FOR", "INSERT") +1357 for_none = self._match_text_seq("FOR", "NONE") +1358 return self.expression( +1359 exp.IsolatedLoadingProperty, +1360 no=no, +1361 concurrent=concurrent, +1362 for_all=for_all, +1363 for_insert=for_insert, +1364 for_none=for_none, +1365 ) +1366 +1367 def _parse_locking(self) -> exp.Expression: +1368 if self._match(TokenType.TABLE): +1369 kind = "TABLE" +1370 elif self._match(TokenType.VIEW): +1371 kind = "VIEW" +1372 elif self._match(TokenType.ROW): +1373 kind = "ROW" +1374 elif self._match_text_seq("DATABASE"): +1375 kind = "DATABASE" +1376 else: +1377 kind = None +1378 +1379 if kind in ("DATABASE", "TABLE", "VIEW"): +1380 this = self._parse_table_parts() +1381 else: +1382 this = None +1383 +1384 if self._match(TokenType.FOR): +1385 for_or_in = "FOR" +1386 elif self._match(TokenType.IN): +1387 for_or_in = "IN" +1388 else: +1389 for_or_in = None +1390 +1391 if self._match_text_seq("ACCESS"): +1392 lock_type = "ACCESS" +1393 elif self._match_texts(("EXCL", "EXCLUSIVE")): +1394 lock_type = "EXCLUSIVE" +1395 elif self._match_text_seq("SHARE"): +1396 lock_type = "SHARE" +1397 elif self._match_text_seq("READ"): +1398 lock_type = "READ" +1399 elif self._match_text_seq("WRITE"): +1400 lock_type = "WRITE" +1401 elif self._match_text_seq("CHECKSUM"): +1402 lock_type = "CHECKSUM" +1403 else: +1404 lock_type = None +1405 +1406 override = self._match_text_seq("OVERRIDE") +1407 +1408 return self.expression( +1409 exp.LockingProperty, +1410 this=this, +1411 kind=kind, +1412 for_or_in=for_or_in, +1413 lock_type=lock_type, +1414 override=override, +1415 ) +1416 +1417 def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]: +1418 if self._match(TokenType.PARTITION_BY): +1419 return self._parse_csv(self._parse_conjunction) +1420 return [] +1421 +1422 def _parse_partitioned_by(self) -> exp.Expression: +1423 self._match(TokenType.EQ) +1424 return self.expression( +1425 exp.PartitionedByProperty, +1426 this=self._parse_schema() or self._parse_bracket(self._parse_field()), +1427 ) +1428 +1429 def _parse_withdata(self, no=False) -> exp.Expression: +1430 if self._match_text_seq("AND", "STATISTICS"): +1431 statistics = True +1432 elif self._match_text_seq("AND", "NO", "STATISTICS"): +1433 statistics = False +1434 else: +1435 statistics = None +1436 +1437 return self.expression(exp.WithDataProperty, no=no, statistics=statistics) +1438 +1439 def _parse_noprimaryindex(self) -> exp.Expression: +1440 self._match_text_seq("PRIMARY", "INDEX") +1441 return exp.NoPrimaryIndexProperty() +1442 +1443 def _parse_oncommit(self) -> exp.Expression: +1444 self._match_text_seq("COMMIT", "PRESERVE", "ROWS") +1445 return exp.OnCommitProperty() +1446 +1447 def _parse_distkey(self) -> exp.Expression: +1448 return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var)) +1449 +1450 def _parse_create_like(self) -> t.Optional[exp.Expression]: +1451 table = self._parse_table(schema=True) +1452 options = [] +1453 while self._match_texts(("INCLUDING", "EXCLUDING")): +1454 this = self._prev.text.upper() +1455 id_var = self._parse_id_var() +1456 +1457 if not id_var: +1458 return None +1459 +1460 options.append( +1461 self.expression( +1462 exp.Property, +1463 this=this, +1464 value=exp.Var(this=id_var.this.upper()), +1465 ) +1466 ) +1467 return self.expression(exp.LikeProperty, this=table, expressions=options) +1468 +1469 def _parse_sortkey(self, compound: bool = False) -> exp.Expression: +1470 return self.expression( +1471 exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound +1472 ) 1473 -1474 def _parse_insert(self) -> exp.Expression: -1475 overwrite = self._match(TokenType.OVERWRITE) -1476 local = self._match(TokenType.LOCAL) -1477 -1478 this: t.Optional[exp.Expression] +1474 def _parse_character_set(self, default: bool = False) -> exp.Expression: +1475 self._match(TokenType.EQ) +1476 return self.expression( +1477 exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default +1478 ) 1479 -1480 alternative = None -1481 if self._match_text_seq("DIRECTORY"): -1482 this = self.expression( -1483 exp.Directory, -1484 this=self._parse_var_or_string(), -1485 local=local, -1486 row_format=self._parse_row_format(match_row=True), -1487 ) -1488 else: -1489 if self._match(TokenType.OR): -1490 alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text -1491 -1492 self._match(TokenType.INTO) -1493 self._match(TokenType.TABLE) -1494 this = self._parse_table(schema=True) -1495 -1496 return self.expression( -1497 exp.Insert, -1498 this=this, -1499 exists=self._parse_exists(), -1500 partition=self._parse_partition(), -1501 expression=self._parse_ddl_select(), -1502 overwrite=overwrite, -1503 alternative=alternative, -1504 ) -1505 -1506 def _parse_row(self) -> t.Optional[exp.Expression]: -1507 if not self._match(TokenType.FORMAT): -1508 return None -1509 return self._parse_row_format() -1510 -1511 def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]: -1512 if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT): -1513 return None -1514 -1515 if self._match_text_seq("SERDE"): -1516 return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string()) -1517 -1518 self._match_text_seq("DELIMITED") -1519 -1520 kwargs = {} -1521 -1522 if self._match_text_seq("FIELDS", "TERMINATED", "BY"): -1523 kwargs["fields"] = self._parse_string() -1524 if self._match_text_seq("ESCAPED", "BY"): -1525 kwargs["escaped"] = self._parse_string() -1526 if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"): -1527 kwargs["collection_items"] = self._parse_string() -1528 if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"): -1529 kwargs["map_keys"] = self._parse_string() -1530 if self._match_text_seq("LINES", "TERMINATED", "BY"): -1531 kwargs["lines"] = self._parse_string() -1532 if self._match_text_seq("NULL", "DEFINED", "AS"): -1533 kwargs["null"] = self._parse_string() -1534 -1535 return self.expression(exp.RowFormatDelimitedProperty, **kwargs) # type: ignore -1536 -1537 def _parse_load_data(self) -> exp.Expression: -1538 local = self._match(TokenType.LOCAL) -1539 self._match_text_seq("INPATH") -1540 inpath = self._parse_string() -1541 overwrite = self._match(TokenType.OVERWRITE) -1542 self._match_pair(TokenType.INTO, TokenType.TABLE) -1543 -1544 return self.expression( -1545 exp.LoadData, -1546 this=self._parse_table(schema=True), -1547 local=local, -1548 overwrite=overwrite, -1549 inpath=inpath, -1550 partition=self._parse_partition(), -1551 input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(), -1552 serde=self._match_text_seq("SERDE") and self._parse_string(), -1553 ) -1554 -1555 def _parse_delete(self) -> exp.Expression: -1556 self._match(TokenType.FROM) +1480 def _parse_returns(self) -> exp.Expression: +1481 value: t.Optional[exp.Expression] +1482 is_table = self._match(TokenType.TABLE) +1483 +1484 if is_table: +1485 if self._match(TokenType.LT): +1486 value = self.expression( +1487 exp.Schema, +1488 this="TABLE", +1489 expressions=self._parse_csv(self._parse_struct_kwargs), +1490 ) +1491 if not self._match(TokenType.GT): +1492 self.raise_error("Expecting >") +1493 else: +1494 value = self._parse_schema(exp.Var(this="TABLE")) +1495 else: +1496 value = self._parse_types() +1497 +1498 return self.expression(exp.ReturnsProperty, this=value, is_table=is_table) +1499 +1500 def _parse_temporary(self, global_=False) -> exp.Expression: +1501 self._match(TokenType.TEMPORARY) # in case calling from "GLOBAL" +1502 return self.expression(exp.TemporaryProperty, global_=global_) +1503 +1504 def _parse_describe(self) -> exp.Expression: +1505 kind = self._match_set(self.CREATABLES) and self._prev.text +1506 this = self._parse_table() +1507 +1508 return self.expression(exp.Describe, this=this, kind=kind) +1509 +1510 def _parse_insert(self) -> exp.Expression: +1511 overwrite = self._match(TokenType.OVERWRITE) +1512 local = self._match(TokenType.LOCAL) +1513 +1514 this: t.Optional[exp.Expression] +1515 +1516 alternative = None +1517 if self._match_text_seq("DIRECTORY"): +1518 this = self.expression( +1519 exp.Directory, +1520 this=self._parse_var_or_string(), +1521 local=local, +1522 row_format=self._parse_row_format(match_row=True), +1523 ) +1524 else: +1525 if self._match(TokenType.OR): +1526 alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text +1527 +1528 self._match(TokenType.INTO) +1529 self._match(TokenType.TABLE) +1530 this = self._parse_table(schema=True) +1531 +1532 return self.expression( +1533 exp.Insert, +1534 this=this, +1535 exists=self._parse_exists(), +1536 partition=self._parse_partition(), +1537 expression=self._parse_ddl_select(), +1538 overwrite=overwrite, +1539 alternative=alternative, +1540 ) +1541 +1542 def _parse_row(self) -> t.Optional[exp.Expression]: +1543 if not self._match(TokenType.FORMAT): +1544 return None +1545 return self._parse_row_format() +1546 +1547 def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]: +1548 if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT): +1549 return None +1550 +1551 if self._match_text_seq("SERDE"): +1552 return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string()) +1553 +1554 self._match_text_seq("DELIMITED") +1555 +1556 kwargs = {} 1557 -1558 return self.expression( -1559 exp.Delete, -1560 this=self._parse_table(schema=True), -1561 using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()), -1562 where=self._parse_where(), -1563 ) -1564 -1565 def _parse_update(self) -> exp.Expression: -1566 return self.expression( -1567 exp.Update, -1568 **{ # type: ignore -1569 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), -1570 "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality), -1571 "from": self._parse_from(), -1572 "where": self._parse_where(), -1573 }, -1574 ) -1575 -1576 def _parse_uncache(self) -> exp.Expression: -1577 if not self._match(TokenType.TABLE): -1578 self.raise_error("Expecting TABLE after UNCACHE") +1558 if self._match_text_seq("FIELDS", "TERMINATED", "BY"): +1559 kwargs["fields"] = self._parse_string() +1560 if self._match_text_seq("ESCAPED", "BY"): +1561 kwargs["escaped"] = self._parse_string() +1562 if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"): +1563 kwargs["collection_items"] = self._parse_string() +1564 if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"): +1565 kwargs["map_keys"] = self._parse_string() +1566 if self._match_text_seq("LINES", "TERMINATED", "BY"): +1567 kwargs["lines"] = self._parse_string() +1568 if self._match_text_seq("NULL", "DEFINED", "AS"): +1569 kwargs["null"] = self._parse_string() +1570 +1571 return self.expression(exp.RowFormatDelimitedProperty, **kwargs) # type: ignore +1572 +1573 def _parse_load_data(self) -> exp.Expression: +1574 local = self._match(TokenType.LOCAL) +1575 self._match_text_seq("INPATH") +1576 inpath = self._parse_string() +1577 overwrite = self._match(TokenType.OVERWRITE) +1578 self._match_pair(TokenType.INTO, TokenType.TABLE) 1579 1580 return self.expression( -1581 exp.Uncache, -1582 exists=self._parse_exists(), -1583 this=self._parse_table(schema=True), -1584 ) -1585 -1586 def _parse_cache(self) -> exp.Expression: -1587 lazy = self._match(TokenType.LAZY) -1588 self._match(TokenType.TABLE) -1589 table = self._parse_table(schema=True) -1590 options = [] -1591 -1592 if self._match(TokenType.OPTIONS): -1593 self._match_l_paren() -1594 k = self._parse_string() -1595 self._match(TokenType.EQ) -1596 v = self._parse_string() -1597 options = [k, v] -1598 self._match_r_paren() -1599 -1600 self._match(TokenType.ALIAS) -1601 return self.expression( -1602 exp.Cache, -1603 this=table, -1604 lazy=lazy, -1605 options=options, -1606 expression=self._parse_select(nested=True), -1607 ) -1608 -1609 def _parse_partition(self) -> t.Optional[exp.Expression]: -1610 if not self._match(TokenType.PARTITION): -1611 return None -1612 -1613 return self.expression( -1614 exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction) -1615 ) -1616 -1617 def _parse_value(self) -> exp.Expression: -1618 if self._match(TokenType.L_PAREN): -1619 expressions = self._parse_csv(self._parse_conjunction) -1620 self._match_r_paren() -1621 return self.expression(exp.Tuple, expressions=expressions) -1622 -1623 # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows. -1624 # Source: https://prestodb.io/docs/current/sql/values.html -1625 return self.expression(exp.Tuple, expressions=[self._parse_conjunction()]) -1626 -1627 def _parse_select( -1628 self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True -1629 ) -> t.Optional[exp.Expression]: -1630 cte = self._parse_with() -1631 if cte: -1632 this = self._parse_statement() -1633 -1634 if not this: -1635 self.raise_error("Failed to parse any statement following CTE") -1636 return cte -1637 -1638 if "with" in this.arg_types: -1639 this.set("with", cte) -1640 else: -1641 self.raise_error(f"{this.key} does not support CTE") -1642 this = cte -1643 elif self._match(TokenType.SELECT): -1644 comments = self._prev_comments -1645 -1646 hint = self._parse_hint() -1647 all_ = self._match(TokenType.ALL) -1648 distinct = self._match(TokenType.DISTINCT) -1649 -1650 if distinct: -1651 distinct = self.expression( -1652 exp.Distinct, -1653 on=self._parse_value() if self._match(TokenType.ON) else None, -1654 ) -1655 -1656 if all_ and distinct: -1657 self.raise_error("Cannot specify both ALL and DISTINCT after SELECT") +1581 exp.LoadData, +1582 this=self._parse_table(schema=True), +1583 local=local, +1584 overwrite=overwrite, +1585 inpath=inpath, +1586 partition=self._parse_partition(), +1587 input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(), +1588 serde=self._match_text_seq("SERDE") and self._parse_string(), +1589 ) +1590 +1591 def _parse_delete(self) -> exp.Expression: +1592 self._match(TokenType.FROM) +1593 +1594 return self.expression( +1595 exp.Delete, +1596 this=self._parse_table(schema=True), +1597 using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()), +1598 where=self._parse_where(), +1599 ) +1600 +1601 def _parse_update(self) -> exp.Expression: +1602 return self.expression( +1603 exp.Update, +1604 **{ # type: ignore +1605 "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS), +1606 "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality), +1607 "from": self._parse_from(), +1608 "where": self._parse_where(), +1609 }, +1610 ) +1611 +1612 def _parse_uncache(self) -> exp.Expression: +1613 if not self._match(TokenType.TABLE): +1614 self.raise_error("Expecting TABLE after UNCACHE") +1615 +1616 return self.expression( +1617 exp.Uncache, +1618 exists=self._parse_exists(), +1619 this=self._parse_table(schema=True), +1620 ) +1621 +1622 def _parse_cache(self) -> exp.Expression: +1623 lazy = self._match(TokenType.LAZY) +1624 self._match(TokenType.TABLE) +1625 table = self._parse_table(schema=True) +1626 options = [] +1627 +1628 if self._match(TokenType.OPTIONS): +1629 self._match_l_paren() +1630 k = self._parse_string() +1631 self._match(TokenType.EQ) +1632 v = self._parse_string() +1633 options = [k, v] +1634 self._match_r_paren() +1635 +1636 self._match(TokenType.ALIAS) +1637 return self.expression( +1638 exp.Cache, +1639 this=table, +1640 lazy=lazy, +1641 options=options, +1642 expression=self._parse_select(nested=True), +1643 ) +1644 +1645 def _parse_partition(self) -> t.Optional[exp.Expression]: +1646 if not self._match(TokenType.PARTITION): +1647 return None +1648 +1649 return self.expression( +1650 exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction) +1651 ) +1652 +1653 def _parse_value(self) -> exp.Expression: +1654 if self._match(TokenType.L_PAREN): +1655 expressions = self._parse_csv(self._parse_conjunction) +1656 self._match_r_paren() +1657 return self.expression(exp.Tuple, expressions=expressions) 1658 -1659 limit = self._parse_limit(top=True) -1660 expressions = self._parse_csv(self._parse_expression) -1661 -1662 this = self.expression( -1663 exp.Select, -1664 hint=hint, -1665 distinct=distinct, -1666 expressions=expressions, -1667 limit=limit, -1668 ) -1669 this.comments = comments -1670 -1671 into = self._parse_into() -1672 if into: -1673 this.set("into", into) -1674 -1675 from_ = self._parse_from() -1676 if from_: -1677 this.set("from", from_) -1678 -1679 self._parse_query_modifiers(this) -1680 elif (table or nested) and self._match(TokenType.L_PAREN): -1681 this = self._parse_table() if table else self._parse_select(nested=True) -1682 self._parse_query_modifiers(this) -1683 this = self._parse_set_operations(this) -1684 self._match_r_paren() +1659 # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows. +1660 # Source: https://prestodb.io/docs/current/sql/values.html +1661 return self.expression(exp.Tuple, expressions=[self._parse_conjunction()]) +1662 +1663 def _parse_select( +1664 self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True +1665 ) -> t.Optional[exp.Expression]: +1666 cte = self._parse_with() +1667 if cte: +1668 this = self._parse_statement() +1669 +1670 if not this: +1671 self.raise_error("Failed to parse any statement following CTE") +1672 return cte +1673 +1674 if "with" in this.arg_types: +1675 this.set("with", cte) +1676 else: +1677 self.raise_error(f"{this.key} does not support CTE") +1678 this = cte +1679 elif self._match(TokenType.SELECT): +1680 comments = self._prev_comments +1681 +1682 hint = self._parse_hint() +1683 all_ = self._match(TokenType.ALL) +1684 distinct = self._match(TokenType.DISTINCT) 1685 -1686 # early return so that subquery unions aren't parsed again -1687 # SELECT * FROM (SELECT 1) UNION ALL SELECT 1 -1688 # Union ALL should be a property of the top select node, not the subquery -1689 return self._parse_subquery(this, parse_alias=parse_subquery_alias) -1690 elif self._match(TokenType.VALUES): -1691 this = self.expression( -1692 exp.Values, -1693 expressions=self._parse_csv(self._parse_value), -1694 alias=self._parse_table_alias(), -1695 ) -1696 else: -1697 this = None -1698 -1699 return self._parse_set_operations(this) -1700 -1701 def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]: -1702 if not skip_with_token and not self._match(TokenType.WITH): -1703 return None -1704 -1705 recursive = self._match(TokenType.RECURSIVE) +1686 if distinct: +1687 distinct = self.expression( +1688 exp.Distinct, +1689 on=self._parse_value() if self._match(TokenType.ON) else None, +1690 ) +1691 +1692 if all_ and distinct: +1693 self.raise_error("Cannot specify both ALL and DISTINCT after SELECT") +1694 +1695 limit = self._parse_limit(top=True) +1696 expressions = self._parse_csv(self._parse_expression) +1697 +1698 this = self.expression( +1699 exp.Select, +1700 hint=hint, +1701 distinct=distinct, +1702 expressions=expressions, +1703 limit=limit, +1704 ) +1705 this.comments = comments 1706 -1707 expressions = [] -1708 while True: -1709 expressions.append(self._parse_cte()) +1707 into = self._parse_into() +1708 if into: +1709 this.set("into", into) 1710 -1711 if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH): -1712 break -1713 else: -1714 self._match(TokenType.WITH) -1715 -1716 return self.expression(exp.With, expressions=expressions, recursive=recursive) -1717 -1718 def _parse_cte(self) -> exp.Expression: -1719 alias = self._parse_table_alias() -1720 if not alias or not alias.this: -1721 self.raise_error("Expected CTE to have alias") -1722 -1723 self._match(TokenType.ALIAS) -1724 -1725 return self.expression( -1726 exp.CTE, -1727 this=self._parse_wrapped(self._parse_statement), -1728 alias=alias, -1729 ) -1730 -1731 def _parse_table_alias( -1732 self, alias_tokens: t.Optional[t.Collection[TokenType]] = None -1733 ) -> t.Optional[exp.Expression]: -1734 any_token = self._match(TokenType.ALIAS) -1735 alias = self._parse_id_var( -1736 any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS -1737 ) -1738 index = self._index -1739 -1740 if self._match(TokenType.L_PAREN): -1741 columns = self._parse_csv(self._parse_function_parameter) -1742 self._match_r_paren() if columns else self._retreat(index) -1743 else: -1744 columns = None -1745 -1746 if not alias and not columns: -1747 return None -1748 -1749 return self.expression(exp.TableAlias, this=alias, columns=columns) -1750 -1751 def _parse_subquery( -1752 self, this: t.Optional[exp.Expression], parse_alias: bool = True -1753 ) -> exp.Expression: -1754 return self.expression( -1755 exp.Subquery, -1756 this=this, -1757 pivots=self._parse_pivots(), -1758 alias=self._parse_table_alias() if parse_alias else None, -1759 ) +1711 from_ = self._parse_from() +1712 if from_: +1713 this.set("from", from_) +1714 +1715 self._parse_query_modifiers(this) +1716 elif (table or nested) and self._match(TokenType.L_PAREN): +1717 this = self._parse_table() if table else self._parse_select(nested=True) +1718 self._parse_query_modifiers(this) +1719 this = self._parse_set_operations(this) +1720 self._match_r_paren() +1721 +1722 # early return so that subquery unions aren't parsed again +1723 # SELECT * FROM (SELECT 1) UNION ALL SELECT 1 +1724 # Union ALL should be a property of the top select node, not the subquery +1725 return self._parse_subquery(this, parse_alias=parse_subquery_alias) +1726 elif self._match(TokenType.VALUES): +1727 this = self.expression( +1728 exp.Values, +1729 expressions=self._parse_csv(self._parse_value), +1730 alias=self._parse_table_alias(), +1731 ) +1732 else: +1733 this = None +1734 +1735 return self._parse_set_operations(this) +1736 +1737 def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]: +1738 if not skip_with_token and not self._match(TokenType.WITH): +1739 return None +1740 +1741 recursive = self._match(TokenType.RECURSIVE) +1742 +1743 expressions = [] +1744 while True: +1745 expressions.append(self._parse_cte()) +1746 +1747 if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH): +1748 break +1749 else: +1750 self._match(TokenType.WITH) +1751 +1752 return self.expression(exp.With, expressions=expressions, recursive=recursive) +1753 +1754 def _parse_cte(self) -> exp.Expression: +1755 alias = self._parse_table_alias() +1756 if not alias or not alias.this: +1757 self.raise_error("Expected CTE to have alias") +1758 +1759 self._match(TokenType.ALIAS) 1760 -1761 def _parse_query_modifiers(self, this: t.Optional[exp.Expression]) -> None: -1762 if not isinstance(this, self.MODIFIABLES): -1763 return -1764 -1765 table = isinstance(this, exp.Table) +1761 return self.expression( +1762 exp.CTE, +1763 this=self._parse_wrapped(self._parse_statement), +1764 alias=alias, +1765 ) 1766 -1767 while True: -1768 lateral = self._parse_lateral() -1769 join = self._parse_join() -1770 comma = None if table else self._match(TokenType.COMMA) -1771 if lateral: -1772 this.append("laterals", lateral) -1773 if join: -1774 this.append("joins", join) -1775 if comma: -1776 this.args["from"].append("expressions", self._parse_table()) -1777 if not (lateral or join or comma): -1778 break -1779 -1780 for key, parser in self.QUERY_MODIFIER_PARSERS.items(): -1781 expression = parser(self) -1782 -1783 if expression: -1784 this.set(key, expression) -1785 -1786 def _parse_hint(self) -> t.Optional[exp.Expression]: -1787 if self._match(TokenType.HINT): -1788 hints = self._parse_csv(self._parse_function) -1789 if not self._match_pair(TokenType.STAR, TokenType.SLASH): -1790 self.raise_error("Expected */ after HINT") -1791 return self.expression(exp.Hint, expressions=hints) -1792 -1793 return None -1794 -1795 def _parse_into(self) -> t.Optional[exp.Expression]: -1796 if not self._match(TokenType.INTO): -1797 return None -1798 -1799 temp = self._match(TokenType.TEMPORARY) -1800 unlogged = self._match(TokenType.UNLOGGED) -1801 self._match(TokenType.TABLE) +1767 def _parse_table_alias( +1768 self, alias_tokens: t.Optional[t.Collection[TokenType]] = None +1769 ) -> t.Optional[exp.Expression]: +1770 any_token = self._match(TokenType.ALIAS) +1771 alias = self._parse_id_var( +1772 any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS +1773 ) +1774 index = self._index +1775 +1776 if self._match(TokenType.L_PAREN): +1777 columns = self._parse_csv(self._parse_function_parameter) +1778 self._match_r_paren() if columns else self._retreat(index) +1779 else: +1780 columns = None +1781 +1782 if not alias and not columns: +1783 return None +1784 +1785 return self.expression(exp.TableAlias, this=alias, columns=columns) +1786 +1787 def _parse_subquery( +1788 self, this: t.Optional[exp.Expression], parse_alias: bool = True +1789 ) -> exp.Expression: +1790 return self.expression( +1791 exp.Subquery, +1792 this=this, +1793 pivots=self._parse_pivots(), +1794 alias=self._parse_table_alias() if parse_alias else None, +1795 ) +1796 +1797 def _parse_query_modifiers(self, this: t.Optional[exp.Expression]) -> None: +1798 if not isinstance(this, self.MODIFIABLES): +1799 return +1800 +1801 table = isinstance(this, exp.Table) 1802 -1803 return self.expression( -1804 exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged -1805 ) -1806 -1807 def _parse_from(self) -> t.Optional[exp.Expression]: -1808 if not self._match(TokenType.FROM): -1809 return None -1810 -1811 return self.expression( -1812 exp.From, comments=self._prev_comments, expressions=self._parse_csv(self._parse_table) -1813 ) -1814 -1815 def _parse_match_recognize(self) -> t.Optional[exp.Expression]: -1816 if not self._match(TokenType.MATCH_RECOGNIZE): -1817 return None -1818 self._match_l_paren() -1819 -1820 partition = self._parse_partition_by() -1821 order = self._parse_order() -1822 measures = ( -1823 self._parse_alias(self._parse_conjunction()) -1824 if self._match_text_seq("MEASURES") -1825 else None -1826 ) -1827 -1828 if self._match_text_seq("ONE", "ROW", "PER", "MATCH"): -1829 rows = exp.Var(this="ONE ROW PER MATCH") -1830 elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"): -1831 text = "ALL ROWS PER MATCH" -1832 if self._match_text_seq("SHOW", "EMPTY", "MATCHES"): -1833 text += f" SHOW EMPTY MATCHES" -1834 elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"): -1835 text += f" OMIT EMPTY MATCHES" -1836 elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"): -1837 text += f" WITH UNMATCHED ROWS" -1838 rows = exp.Var(this=text) -1839 else: -1840 rows = None -1841 -1842 if self._match_text_seq("AFTER", "MATCH", "SKIP"): -1843 text = "AFTER MATCH SKIP" -1844 if self._match_text_seq("PAST", "LAST", "ROW"): -1845 text += f" PAST LAST ROW" -1846 elif self._match_text_seq("TO", "NEXT", "ROW"): -1847 text += f" TO NEXT ROW" -1848 elif self._match_text_seq("TO", "FIRST"): -1849 text += f" TO FIRST {self._advance_any().text}" # type: ignore -1850 elif self._match_text_seq("TO", "LAST"): -1851 text += f" TO LAST {self._advance_any().text}" # type: ignore -1852 after = exp.Var(this=text) -1853 else: -1854 after = None +1803 while True: +1804 lateral = self._parse_lateral() +1805 join = self._parse_join() +1806 comma = None if table else self._match(TokenType.COMMA) +1807 if lateral: +1808 this.append("laterals", lateral) +1809 if join: +1810 this.append("joins", join) +1811 if comma: +1812 this.args["from"].append("expressions", self._parse_table()) +1813 if not (lateral or join or comma): +1814 break +1815 +1816 for key, parser in self.QUERY_MODIFIER_PARSERS.items(): +1817 expression = parser(self) +1818 +1819 if expression: +1820 this.set(key, expression) +1821 +1822 def _parse_hint(self) -> t.Optional[exp.Expression]: +1823 if self._match(TokenType.HINT): +1824 hints = self._parse_csv(self._parse_function) +1825 if not self._match_pair(TokenType.STAR, TokenType.SLASH): +1826 self.raise_error("Expected */ after HINT") +1827 return self.expression(exp.Hint, expressions=hints) +1828 +1829 return None +1830 +1831 def _parse_into(self) -> t.Optional[exp.Expression]: +1832 if not self._match(TokenType.INTO): +1833 return None +1834 +1835 temp = self._match(TokenType.TEMPORARY) +1836 unlogged = self._match(TokenType.UNLOGGED) +1837 self._match(TokenType.TABLE) +1838 +1839 return self.expression( +1840 exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged +1841 ) +1842 +1843 def _parse_from(self) -> t.Optional[exp.Expression]: +1844 if not self._match(TokenType.FROM): +1845 return None +1846 +1847 return self.expression( +1848 exp.From, comments=self._prev_comments, expressions=self._parse_csv(self._parse_table) +1849 ) +1850 +1851 def _parse_match_recognize(self) -> t.Optional[exp.Expression]: +1852 if not self._match(TokenType.MATCH_RECOGNIZE): +1853 return None +1854 self._match_l_paren() 1855 -1856 if self._match_text_seq("PATTERN"): -1857 self._match_l_paren() -1858 -1859 if not self._curr: -1860 self.raise_error("Expecting )", self._curr) -1861 -1862 paren = 1 -1863 start = self._curr -1864 -1865 while self._curr and paren > 0: -1866 if self._curr.token_type == TokenType.L_PAREN: -1867 paren += 1 -1868 if self._curr.token_type == TokenType.R_PAREN: -1869 paren -= 1 -1870 end = self._prev -1871 self._advance() -1872 if paren > 0: -1873 self.raise_error("Expecting )", self._curr) -1874 pattern = exp.Var(this=self._find_sql(start, end)) +1856 partition = self._parse_partition_by() +1857 order = self._parse_order() +1858 measures = ( +1859 self._parse_alias(self._parse_conjunction()) +1860 if self._match_text_seq("MEASURES") +1861 else None +1862 ) +1863 +1864 if self._match_text_seq("ONE", "ROW", "PER", "MATCH"): +1865 rows = exp.Var(this="ONE ROW PER MATCH") +1866 elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"): +1867 text = "ALL ROWS PER MATCH" +1868 if self._match_text_seq("SHOW", "EMPTY", "MATCHES"): +1869 text += f" SHOW EMPTY MATCHES" +1870 elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"): +1871 text += f" OMIT EMPTY MATCHES" +1872 elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"): +1873 text += f" WITH UNMATCHED ROWS" +1874 rows = exp.Var(this=text) 1875 else: -1876 pattern = None +1876 rows = None 1877 -1878 define = ( -1879 self._parse_alias(self._parse_conjunction()) if self._match_text_seq("DEFINE") else None -1880 ) -1881 self._match_r_paren() -1882 -1883 return self.expression( -1884 exp.MatchRecognize, -1885 partition_by=partition, -1886 order=order, -1887 measures=measures, -1888 rows=rows, -1889 after=after, -1890 pattern=pattern, -1891 define=define, -1892 ) -1893 -1894 def _parse_lateral(self) -> t.Optional[exp.Expression]: -1895 outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY) -1896 cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY) +1878 if self._match_text_seq("AFTER", "MATCH", "SKIP"): +1879 text = "AFTER MATCH SKIP" +1880 if self._match_text_seq("PAST", "LAST", "ROW"): +1881 text += f" PAST LAST ROW" +1882 elif self._match_text_seq("TO", "NEXT", "ROW"): +1883 text += f" TO NEXT ROW" +1884 elif self._match_text_seq("TO", "FIRST"): +1885 text += f" TO FIRST {self._advance_any().text}" # type: ignore +1886 elif self._match_text_seq("TO", "LAST"): +1887 text += f" TO LAST {self._advance_any().text}" # type: ignore +1888 after = exp.Var(this=text) +1889 else: +1890 after = None +1891 +1892 if self._match_text_seq("PATTERN"): +1893 self._match_l_paren() +1894 +1895 if not self._curr: +1896 self.raise_error("Expecting )", self._curr) 1897 -1898 if outer_apply or cross_apply: -1899 this = self._parse_select(table=True) -1900 view = None -1901 outer = not cross_apply -1902 elif self._match(TokenType.LATERAL): -1903 this = self._parse_select(table=True) -1904 view = self._match(TokenType.VIEW) -1905 outer = self._match(TokenType.OUTER) -1906 else: -1907 return None -1908 -1909 if not this: -1910 this = self._parse_function() or self._parse_id_var(any_token=False) -1911 while self._match(TokenType.DOT): -1912 this = exp.Dot( -1913 this=this, -1914 expression=self._parse_function() or self._parse_id_var(any_token=False), -1915 ) -1916 -1917 table_alias: t.Optional[exp.Expression] +1898 paren = 1 +1899 start = self._curr +1900 +1901 while self._curr and paren > 0: +1902 if self._curr.token_type == TokenType.L_PAREN: +1903 paren += 1 +1904 if self._curr.token_type == TokenType.R_PAREN: +1905 paren -= 1 +1906 end = self._prev +1907 self._advance() +1908 if paren > 0: +1909 self.raise_error("Expecting )", self._curr) +1910 pattern = exp.Var(this=self._find_sql(start, end)) +1911 else: +1912 pattern = None +1913 +1914 define = ( +1915 self._parse_alias(self._parse_conjunction()) if self._match_text_seq("DEFINE") else None +1916 ) +1917 self._match_r_paren() 1918 -1919 if view: -1920 table = self._parse_id_var(any_token=False) -1921 columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else [] -1922 table_alias = self.expression(exp.TableAlias, this=table, columns=columns) -1923 else: -1924 table_alias = self._parse_table_alias() -1925 -1926 expression = self.expression( -1927 exp.Lateral, -1928 this=this, -1929 view=view, -1930 outer=outer, -1931 alias=table_alias, -1932 ) +1919 return self.expression( +1920 exp.MatchRecognize, +1921 partition_by=partition, +1922 order=order, +1923 measures=measures, +1924 rows=rows, +1925 after=after, +1926 pattern=pattern, +1927 define=define, +1928 ) +1929 +1930 def _parse_lateral(self) -> t.Optional[exp.Expression]: +1931 outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY) +1932 cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY) 1933 1934 if outer_apply or cross_apply: -1935 return self.expression(exp.Join, this=expression, side=None if cross_apply else "LEFT") -1936 -1937 return expression -1938 -1939 def _parse_join_side_and_kind( -1940 self, -1941 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: -1942 return ( -1943 self._match(TokenType.NATURAL) and self._prev, -1944 self._match_set(self.JOIN_SIDES) and self._prev, -1945 self._match_set(self.JOIN_KINDS) and self._prev, -1946 ) -1947 -1948 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: -1949 natural, side, kind = self._parse_join_side_and_kind() -1950 -1951 if not skip_join_token and not self._match(TokenType.JOIN): -1952 return None -1953 -1954 kwargs: t.Dict[ -1955 str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]] -1956 ] = {"this": self._parse_table()} -1957 -1958 if natural: -1959 kwargs["natural"] = True -1960 if side: -1961 kwargs["side"] = side.text -1962 if kind: -1963 kwargs["kind"] = kind.text -1964 -1965 if self._match(TokenType.ON): -1966 kwargs["on"] = self._parse_conjunction() -1967 elif self._match(TokenType.USING): -1968 kwargs["using"] = self._parse_wrapped_id_vars() +1935 this = self._parse_select(table=True) +1936 view = None +1937 outer = not cross_apply +1938 elif self._match(TokenType.LATERAL): +1939 this = self._parse_select(table=True) +1940 view = self._match(TokenType.VIEW) +1941 outer = self._match(TokenType.OUTER) +1942 else: +1943 return None +1944 +1945 if not this: +1946 this = self._parse_function() or self._parse_id_var(any_token=False) +1947 while self._match(TokenType.DOT): +1948 this = exp.Dot( +1949 this=this, +1950 expression=self._parse_function() or self._parse_id_var(any_token=False), +1951 ) +1952 +1953 table_alias: t.Optional[exp.Expression] +1954 +1955 if view: +1956 table = self._parse_id_var(any_token=False) +1957 columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else [] +1958 table_alias = self.expression(exp.TableAlias, this=table, columns=columns) +1959 else: +1960 table_alias = self._parse_table_alias() +1961 +1962 expression = self.expression( +1963 exp.Lateral, +1964 this=this, +1965 view=view, +1966 outer=outer, +1967 alias=table_alias, +1968 ) 1969 -1970 return self.expression(exp.Join, **kwargs) # type: ignore -1971 -1972 def _parse_index(self) -> exp.Expression: -1973 index = self._parse_id_var() -1974 self._match(TokenType.ON) -1975 self._match(TokenType.TABLE) # hive -1976 -1977 return self.expression( -1978 exp.Index, -1979 this=index, -1980 table=self.expression(exp.Table, this=self._parse_id_var()), -1981 columns=self._parse_expression(), +1970 if outer_apply or cross_apply: +1971 return self.expression(exp.Join, this=expression, side=None if cross_apply else "LEFT") +1972 +1973 return expression +1974 +1975 def _parse_join_side_and_kind( +1976 self, +1977 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: +1978 return ( +1979 self._match(TokenType.NATURAL) and self._prev, +1980 self._match_set(self.JOIN_SIDES) and self._prev, +1981 self._match_set(self.JOIN_KINDS) and self._prev, 1982 ) 1983 -1984 def _parse_create_table_index(self) -> t.Optional[exp.Expression]: -1985 unique = self._match(TokenType.UNIQUE) -1986 primary = self._match_text_seq("PRIMARY") -1987 amp = self._match_text_seq("AMP") -1988 if not self._match(TokenType.INDEX): -1989 return None -1990 index = self._parse_id_var() -1991 columns = None -1992 if self._match(TokenType.L_PAREN, advance=False): -1993 columns = self._parse_wrapped_csv(self._parse_column) -1994 return self.expression( -1995 exp.Index, -1996 this=index, -1997 columns=columns, -1998 unique=unique, -1999 primary=primary, -2000 amp=amp, -2001 ) -2002 -2003 def _parse_table_parts(self, schema: bool = False) -> exp.Expression: -2004 catalog = None -2005 db = None -2006 table = (not schema and self._parse_function()) or self._parse_id_var(any_token=False) +1984 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: +1985 natural, side, kind = self._parse_join_side_and_kind() +1986 +1987 if not skip_join_token and not self._match(TokenType.JOIN): +1988 return None +1989 +1990 kwargs: t.Dict[ +1991 str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]] +1992 ] = {"this": self._parse_table()} +1993 +1994 if natural: +1995 kwargs["natural"] = True +1996 if side: +1997 kwargs["side"] = side.text +1998 if kind: +1999 kwargs["kind"] = kind.text +2000 +2001 if self._match(TokenType.ON): +2002 kwargs["on"] = self._parse_conjunction() +2003 elif self._match(TokenType.USING): +2004 kwargs["using"] = self._parse_wrapped_id_vars() +2005 +2006 return self.expression(exp.Join, **kwargs) # type: ignore 2007 -2008 while self._match(TokenType.DOT): -2009 if catalog: -2010 # This allows nesting the table in arbitrarily many dot expressions if needed -2011 table = self.expression(exp.Dot, this=table, expression=self._parse_id_var()) -2012 else: -2013 catalog = db -2014 db = table -2015 table = self._parse_id_var() -2016 -2017 if not table: -2018 self.raise_error(f"Expected table name but got {self._curr}") +2008 def _parse_index(self) -> exp.Expression: +2009 index = self._parse_id_var() +2010 self._match(TokenType.ON) +2011 self._match(TokenType.TABLE) # hive +2012 +2013 return self.expression( +2014 exp.Index, +2015 this=index, +2016 table=self.expression(exp.Table, this=self._parse_id_var()), +2017 columns=self._parse_expression(), +2018 ) 2019 -2020 return self.expression( -2021 exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots() -2022 ) -2023 -2024 def _parse_table( -2025 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None -2026 ) -> t.Optional[exp.Expression]: -2027 lateral = self._parse_lateral() -2028 -2029 if lateral: -2030 return lateral -2031 -2032 unnest = self._parse_unnest() -2033 -2034 if unnest: -2035 return unnest -2036 -2037 values = self._parse_derived_table_values() +2020 def _parse_create_table_index(self) -> t.Optional[exp.Expression]: +2021 unique = self._match(TokenType.UNIQUE) +2022 primary = self._match_text_seq("PRIMARY") +2023 amp = self._match_text_seq("AMP") +2024 if not self._match(TokenType.INDEX): +2025 return None +2026 index = self._parse_id_var() +2027 columns = None +2028 if self._match(TokenType.L_PAREN, advance=False): +2029 columns = self._parse_wrapped_csv(self._parse_column) +2030 return self.expression( +2031 exp.Index, +2032 this=index, +2033 columns=columns, +2034 unique=unique, +2035 primary=primary, +2036 amp=amp, +2037 ) 2038 -2039 if values: -2040 return values -2041 -2042 subquery = self._parse_select(table=True) +2039 def _parse_table_parts(self, schema: bool = False) -> exp.Expression: +2040 catalog = None +2041 db = None +2042 table = (not schema and self._parse_function()) or self._parse_id_var(any_token=False) 2043 -2044 if subquery: -2045 return subquery -2046 -2047 this = self._parse_table_parts(schema=schema) -2048 -2049 if schema: -2050 return self._parse_schema(this=this) -2051 -2052 if self.alias_post_tablesample: -2053 table_sample = self._parse_table_sample() -2054 -2055 alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS) -2056 -2057 if alias: -2058 this.set("alias", alias) +2044 while self._match(TokenType.DOT): +2045 if catalog: +2046 # This allows nesting the table in arbitrarily many dot expressions if needed +2047 table = self.expression(exp.Dot, this=table, expression=self._parse_id_var()) +2048 else: +2049 catalog = db +2050 db = table +2051 table = self._parse_id_var() +2052 +2053 if not table: +2054 self.raise_error(f"Expected table name but got {self._curr}") +2055 +2056 return self.expression( +2057 exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots() +2058 ) 2059 -2060 if not this.args.get("pivots"): -2061 this.set("pivots", self._parse_pivots()) -2062 -2063 if self._match_pair(TokenType.WITH, TokenType.L_PAREN): -2064 this.set( -2065 "hints", -2066 self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)), -2067 ) -2068 self._match_r_paren() +2060 def _parse_table( +2061 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None +2062 ) -> t.Optional[exp.Expression]: +2063 lateral = self._parse_lateral() +2064 +2065 if lateral: +2066 return lateral +2067 +2068 unnest = self._parse_unnest() 2069 -2070 if not self.alias_post_tablesample: -2071 table_sample = self._parse_table_sample() +2070 if unnest: +2071 return unnest 2072 -2073 if table_sample: -2074 table_sample.set("this", this) -2075 this = table_sample -2076 -2077 return this -2078 -2079 def _parse_unnest(self) -> t.Optional[exp.Expression]: -2080 if not self._match(TokenType.UNNEST): -2081 return None +2073 values = self._parse_derived_table_values() +2074 +2075 if values: +2076 return values +2077 +2078 subquery = self._parse_select(table=True) +2079 +2080 if subquery: +2081 return subquery 2082 -2083 expressions = self._parse_wrapped_csv(self._parse_column) -2084 ordinality = bool(self._match(TokenType.WITH) and self._match(TokenType.ORDINALITY)) -2085 alias = self._parse_table_alias() -2086 -2087 if alias and self.unnest_column_only: -2088 if alias.args.get("columns"): -2089 self.raise_error("Unexpected extra column alias in unnest.") -2090 alias.set("columns", [alias.this]) -2091 alias.set("this", None) +2083 this = self._parse_table_parts(schema=schema) +2084 +2085 if schema: +2086 return self._parse_schema(this=this) +2087 +2088 if self.alias_post_tablesample: +2089 table_sample = self._parse_table_sample() +2090 +2091 alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS) 2092 -2093 offset = None -2094 if self._match_pair(TokenType.WITH, TokenType.OFFSET): -2095 self._match(TokenType.ALIAS) -2096 offset = self._parse_conjunction() -2097 -2098 return self.expression( -2099 exp.Unnest, -2100 expressions=expressions, -2101 ordinality=ordinality, -2102 alias=alias, -2103 offset=offset, -2104 ) +2093 if alias: +2094 this.set("alias", alias) +2095 +2096 if not this.args.get("pivots"): +2097 this.set("pivots", self._parse_pivots()) +2098 +2099 if self._match_pair(TokenType.WITH, TokenType.L_PAREN): +2100 this.set( +2101 "hints", +2102 self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)), +2103 ) +2104 self._match_r_paren() 2105 -2106 def _parse_derived_table_values(self) -> t.Optional[exp.Expression]: -2107 is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES) -2108 if not is_derived and not self._match(TokenType.VALUES): -2109 return None -2110 -2111 expressions = self._parse_csv(self._parse_value) +2106 if not self.alias_post_tablesample: +2107 table_sample = self._parse_table_sample() +2108 +2109 if table_sample: +2110 table_sample.set("this", this) +2111 this = table_sample 2112 -2113 if is_derived: -2114 self._match_r_paren() -2115 -2116 return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias()) -2117 -2118 def _parse_table_sample(self) -> t.Optional[exp.Expression]: -2119 if not self._match(TokenType.TABLE_SAMPLE): -2120 return None -2121 -2122 method = self._parse_var() -2123 bucket_numerator = None -2124 bucket_denominator = None -2125 bucket_field = None -2126 percent = None -2127 rows = None -2128 size = None -2129 seed = None -2130 -2131 self._match_l_paren() -2132 -2133 if self._match(TokenType.BUCKET): -2134 bucket_numerator = self._parse_number() -2135 self._match(TokenType.OUT_OF) -2136 bucket_denominator = bucket_denominator = self._parse_number() -2137 self._match(TokenType.ON) -2138 bucket_field = self._parse_field() -2139 else: -2140 num = self._parse_number() +2113 return this +2114 +2115 def _parse_unnest(self) -> t.Optional[exp.Expression]: +2116 if not self._match(TokenType.UNNEST): +2117 return None +2118 +2119 expressions = self._parse_wrapped_csv(self._parse_column) +2120 ordinality = bool(self._match(TokenType.WITH) and self._match(TokenType.ORDINALITY)) +2121 alias = self._parse_table_alias() +2122 +2123 if alias and self.unnest_column_only: +2124 if alias.args.get("columns"): +2125 self.raise_error("Unexpected extra column alias in unnest.") +2126 alias.set("columns", [alias.this]) +2127 alias.set("this", None) +2128 +2129 offset = None +2130 if self._match_pair(TokenType.WITH, TokenType.OFFSET): +2131 self._match(TokenType.ALIAS) +2132 offset = self._parse_conjunction() +2133 +2134 return self.expression( +2135 exp.Unnest, +2136 expressions=expressions, +2137 ordinality=ordinality, +2138 alias=alias, +2139 offset=offset, +2140 ) 2141 -2142 if self._match(TokenType.PERCENT): -2143 percent = num -2144 elif self._match(TokenType.ROWS): -2145 rows = num -2146 else: -2147 size = num +2142 def _parse_derived_table_values(self) -> t.Optional[exp.Expression]: +2143 is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES) +2144 if not is_derived and not self._match(TokenType.VALUES): +2145 return None +2146 +2147 expressions = self._parse_csv(self._parse_value) 2148 -2149 self._match_r_paren() -2150 -2151 if self._match(TokenType.SEED): -2152 seed = self._parse_wrapped(self._parse_number) +2149 if is_derived: +2150 self._match_r_paren() +2151 +2152 return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias()) 2153 -2154 return self.expression( -2155 exp.TableSample, -2156 method=method, -2157 bucket_numerator=bucket_numerator, -2158 bucket_denominator=bucket_denominator, -2159 bucket_field=bucket_field, -2160 percent=percent, -2161 rows=rows, -2162 size=size, -2163 seed=seed, -2164 ) -2165 -2166 def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]: -2167 return list(iter(self._parse_pivot, None)) +2154 def _parse_table_sample(self) -> t.Optional[exp.Expression]: +2155 if not self._match(TokenType.TABLE_SAMPLE): +2156 return None +2157 +2158 method = self._parse_var() +2159 bucket_numerator = None +2160 bucket_denominator = None +2161 bucket_field = None +2162 percent = None +2163 rows = None +2164 size = None +2165 seed = None +2166 +2167 self._match_l_paren() 2168 -2169 def _parse_pivot(self) -> t.Optional[exp.Expression]: -2170 index = self._index -2171 -2172 if self._match(TokenType.PIVOT): -2173 unpivot = False -2174 elif self._match(TokenType.UNPIVOT): -2175 unpivot = True -2176 else: -2177 return None -2178 -2179 expressions = [] -2180 field = None -2181 -2182 if not self._match(TokenType.L_PAREN): -2183 self._retreat(index) -2184 return None -2185 -2186 if unpivot: -2187 expressions = self._parse_csv(self._parse_column) -2188 else: -2189 expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function())) -2190 -2191 if not self._match(TokenType.FOR): -2192 self.raise_error("Expecting FOR") -2193 -2194 value = self._parse_column() -2195 -2196 if not self._match(TokenType.IN): -2197 self.raise_error("Expecting IN") -2198 -2199 field = self._parse_in(value) -2200 -2201 self._match_r_paren() -2202 -2203 pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot) +2169 if self._match(TokenType.BUCKET): +2170 bucket_numerator = self._parse_number() +2171 self._match(TokenType.OUT_OF) +2172 bucket_denominator = bucket_denominator = self._parse_number() +2173 self._match(TokenType.ON) +2174 bucket_field = self._parse_field() +2175 else: +2176 num = self._parse_number() +2177 +2178 if self._match(TokenType.PERCENT): +2179 percent = num +2180 elif self._match(TokenType.ROWS): +2181 rows = num +2182 else: +2183 size = num +2184 +2185 self._match_r_paren() +2186 +2187 if self._match(TokenType.SEED): +2188 seed = self._parse_wrapped(self._parse_number) +2189 +2190 return self.expression( +2191 exp.TableSample, +2192 method=method, +2193 bucket_numerator=bucket_numerator, +2194 bucket_denominator=bucket_denominator, +2195 bucket_field=bucket_field, +2196 percent=percent, +2197 rows=rows, +2198 size=size, +2199 seed=seed, +2200 ) +2201 +2202 def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]: +2203 return list(iter(self._parse_pivot, None)) 2204 -2205 if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False): -2206 pivot.set("alias", self._parse_table_alias()) +2205 def _parse_pivot(self) -> t.Optional[exp.Expression]: +2206 index = self._index 2207 -2208 return pivot -2209 -2210 def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]: -2211 if not skip_where_token and not self._match(TokenType.WHERE): -2212 return None -2213 -2214 return self.expression( -2215 exp.Where, comments=self._prev_comments, this=self._parse_conjunction() -2216 ) +2208 if self._match(TokenType.PIVOT): +2209 unpivot = False +2210 elif self._match(TokenType.UNPIVOT): +2211 unpivot = True +2212 else: +2213 return None +2214 +2215 expressions = [] +2216 field = None 2217 -2218 def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]: -2219 if not skip_group_by_token and not self._match(TokenType.GROUP_BY): +2218 if not self._match(TokenType.L_PAREN): +2219 self._retreat(index) 2220 return None 2221 -2222 elements = defaultdict(list) -2223 -2224 while True: -2225 expressions = self._parse_csv(self._parse_conjunction) -2226 if expressions: -2227 elements["expressions"].extend(expressions) -2228 -2229 grouping_sets = self._parse_grouping_sets() -2230 if grouping_sets: -2231 elements["grouping_sets"].extend(grouping_sets) -2232 -2233 rollup = None -2234 cube = None -2235 -2236 with_ = self._match(TokenType.WITH) -2237 if self._match(TokenType.ROLLUP): -2238 rollup = with_ or self._parse_wrapped_csv(self._parse_column) -2239 elements["rollup"].extend(ensure_list(rollup)) +2222 if unpivot: +2223 expressions = self._parse_csv(self._parse_column) +2224 else: +2225 expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function())) +2226 +2227 if not self._match(TokenType.FOR): +2228 self.raise_error("Expecting FOR") +2229 +2230 value = self._parse_column() +2231 +2232 if not self._match(TokenType.IN): +2233 self.raise_error("Expecting IN") +2234 +2235 field = self._parse_in(value) +2236 +2237 self._match_r_paren() +2238 +2239 pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot) 2240 -2241 if self._match(TokenType.CUBE): -2242 cube = with_ or self._parse_wrapped_csv(self._parse_column) -2243 elements["cube"].extend(ensure_list(cube)) -2244 -2245 if not (expressions or grouping_sets or rollup or cube): -2246 break -2247 -2248 return self.expression(exp.Group, **elements) # type: ignore +2241 if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False): +2242 pivot.set("alias", self._parse_table_alias()) +2243 +2244 return pivot +2245 +2246 def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]: +2247 if not skip_where_token and not self._match(TokenType.WHERE): +2248 return None 2249 -2250 def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -2251 if not self._match(TokenType.GROUPING_SETS): -2252 return None +2250 return self.expression( +2251 exp.Where, comments=self._prev_comments, this=self._parse_conjunction() +2252 ) 2253 -2254 return self._parse_wrapped_csv(self._parse_grouping_set) -2255 -2256 def _parse_grouping_set(self) -> t.Optional[exp.Expression]: -2257 if self._match(TokenType.L_PAREN): -2258 grouping_set = self._parse_csv(self._parse_column) -2259 self._match_r_paren() -2260 return self.expression(exp.Tuple, expressions=grouping_set) -2261 -2262 return self._parse_column() -2263 -2264 def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]: -2265 if not skip_having_token and not self._match(TokenType.HAVING): -2266 return None -2267 return self.expression(exp.Having, this=self._parse_conjunction()) +2254 def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]: +2255 if not skip_group_by_token and not self._match(TokenType.GROUP_BY): +2256 return None +2257 +2258 elements = defaultdict(list) +2259 +2260 while True: +2261 expressions = self._parse_csv(self._parse_conjunction) +2262 if expressions: +2263 elements["expressions"].extend(expressions) +2264 +2265 grouping_sets = self._parse_grouping_sets() +2266 if grouping_sets: +2267 elements["grouping_sets"].extend(grouping_sets) 2268 -2269 def _parse_qualify(self) -> t.Optional[exp.Expression]: -2270 if not self._match(TokenType.QUALIFY): -2271 return None -2272 return self.expression(exp.Qualify, this=self._parse_conjunction()) -2273 -2274 def _parse_order( -2275 self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False -2276 ) -> t.Optional[exp.Expression]: -2277 if not skip_order_token and not self._match(TokenType.ORDER_BY): -2278 return this -2279 -2280 return self.expression( -2281 exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered) -2282 ) +2269 rollup = None +2270 cube = None +2271 +2272 with_ = self._match(TokenType.WITH) +2273 if self._match(TokenType.ROLLUP): +2274 rollup = with_ or self._parse_wrapped_csv(self._parse_column) +2275 elements["rollup"].extend(ensure_list(rollup)) +2276 +2277 if self._match(TokenType.CUBE): +2278 cube = with_ or self._parse_wrapped_csv(self._parse_column) +2279 elements["cube"].extend(ensure_list(cube)) +2280 +2281 if not (expressions or grouping_sets or rollup or cube): +2282 break 2283 -2284 def _parse_sort( -2285 self, token_type: TokenType, exp_class: t.Type[exp.Expression] -2286 ) -> t.Optional[exp.Expression]: -2287 if not self._match(token_type): +2284 return self.expression(exp.Group, **elements) # type: ignore +2285 +2286 def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +2287 if not self._match(TokenType.GROUPING_SETS): 2288 return None -2289 return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered)) -2290 -2291 def _parse_ordered(self) -> exp.Expression: -2292 this = self._parse_conjunction() -2293 self._match(TokenType.ASC) -2294 is_desc = self._match(TokenType.DESC) -2295 is_nulls_first = self._match(TokenType.NULLS_FIRST) -2296 is_nulls_last = self._match(TokenType.NULLS_LAST) -2297 desc = is_desc or False -2298 asc = not desc -2299 nulls_first = is_nulls_first or False -2300 explicitly_null_ordered = is_nulls_first or is_nulls_last -2301 if ( -2302 not explicitly_null_ordered -2303 and ( -2304 (asc and self.null_ordering == "nulls_are_small") -2305 or (desc and self.null_ordering != "nulls_are_small") -2306 ) -2307 and self.null_ordering != "nulls_are_last" -2308 ): -2309 nulls_first = True -2310 -2311 return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first) -2312 -2313 def _parse_limit( -2314 self, this: t.Optional[exp.Expression] = None, top: bool = False -2315 ) -> t.Optional[exp.Expression]: -2316 if self._match(TokenType.TOP if top else TokenType.LIMIT): -2317 limit_paren = self._match(TokenType.L_PAREN) -2318 limit_exp = self.expression( -2319 exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term() -2320 ) -2321 -2322 if limit_paren: -2323 self._match_r_paren() -2324 -2325 return limit_exp +2289 +2290 return self._parse_wrapped_csv(self._parse_grouping_set) +2291 +2292 def _parse_grouping_set(self) -> t.Optional[exp.Expression]: +2293 if self._match(TokenType.L_PAREN): +2294 grouping_set = self._parse_csv(self._parse_column) +2295 self._match_r_paren() +2296 return self.expression(exp.Tuple, expressions=grouping_set) +2297 +2298 return self._parse_column() +2299 +2300 def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]: +2301 if not skip_having_token and not self._match(TokenType.HAVING): +2302 return None +2303 return self.expression(exp.Having, this=self._parse_conjunction()) +2304 +2305 def _parse_qualify(self) -> t.Optional[exp.Expression]: +2306 if not self._match(TokenType.QUALIFY): +2307 return None +2308 return self.expression(exp.Qualify, this=self._parse_conjunction()) +2309 +2310 def _parse_order( +2311 self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False +2312 ) -> t.Optional[exp.Expression]: +2313 if not skip_order_token and not self._match(TokenType.ORDER_BY): +2314 return this +2315 +2316 return self.expression( +2317 exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered) +2318 ) +2319 +2320 def _parse_sort( +2321 self, token_type: TokenType, exp_class: t.Type[exp.Expression] +2322 ) -> t.Optional[exp.Expression]: +2323 if not self._match(token_type): +2324 return None +2325 return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered)) 2326 -2327 if self._match(TokenType.FETCH): -2328 direction = self._match_set((TokenType.FIRST, TokenType.NEXT)) -2329 direction = self._prev.text if direction else "FIRST" -2330 count = self._parse_number() -2331 self._match_set((TokenType.ROW, TokenType.ROWS)) -2332 self._match(TokenType.ONLY) -2333 return self.expression(exp.Fetch, direction=direction, count=count) -2334 -2335 return this -2336 -2337 def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: -2338 if not self._match_set((TokenType.OFFSET, TokenType.COMMA)): -2339 return this -2340 -2341 count = self._parse_number() -2342 self._match_set((TokenType.ROW, TokenType.ROWS)) -2343 return self.expression(exp.Offset, this=this, expression=count) -2344 -2345 def _parse_lock(self) -> t.Optional[exp.Expression]: -2346 if self._match_text_seq("FOR", "UPDATE"): -2347 return self.expression(exp.Lock, update=True) -2348 if self._match_text_seq("FOR", "SHARE"): -2349 return self.expression(exp.Lock, update=False) -2350 -2351 return None -2352 -2353 def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2354 if not self._match_set(self.SET_OPERATIONS): -2355 return this -2356 -2357 token_type = self._prev.token_type -2358 -2359 if token_type == TokenType.UNION: -2360 expression = exp.Union -2361 elif token_type == TokenType.EXCEPT: -2362 expression = exp.Except -2363 else: -2364 expression = exp.Intersect -2365 -2366 return self.expression( -2367 expression, -2368 this=this, -2369 distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL), -2370 expression=self._parse_set_operations(self._parse_select(nested=True)), -2371 ) +2327 def _parse_ordered(self) -> exp.Expression: +2328 this = self._parse_conjunction() +2329 self._match(TokenType.ASC) +2330 is_desc = self._match(TokenType.DESC) +2331 is_nulls_first = self._match(TokenType.NULLS_FIRST) +2332 is_nulls_last = self._match(TokenType.NULLS_LAST) +2333 desc = is_desc or False +2334 asc = not desc +2335 nulls_first = is_nulls_first or False +2336 explicitly_null_ordered = is_nulls_first or is_nulls_last +2337 if ( +2338 not explicitly_null_ordered +2339 and ( +2340 (asc and self.null_ordering == "nulls_are_small") +2341 or (desc and self.null_ordering != "nulls_are_small") +2342 ) +2343 and self.null_ordering != "nulls_are_last" +2344 ): +2345 nulls_first = True +2346 +2347 return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first) +2348 +2349 def _parse_limit( +2350 self, this: t.Optional[exp.Expression] = None, top: bool = False +2351 ) -> t.Optional[exp.Expression]: +2352 if self._match(TokenType.TOP if top else TokenType.LIMIT): +2353 limit_paren = self._match(TokenType.L_PAREN) +2354 limit_exp = self.expression( +2355 exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term() +2356 ) +2357 +2358 if limit_paren: +2359 self._match_r_paren() +2360 +2361 return limit_exp +2362 +2363 if self._match(TokenType.FETCH): +2364 direction = self._match_set((TokenType.FIRST, TokenType.NEXT)) +2365 direction = self._prev.text if direction else "FIRST" +2366 count = self._parse_number() +2367 self._match_set((TokenType.ROW, TokenType.ROWS)) +2368 self._match(TokenType.ONLY) +2369 return self.expression(exp.Fetch, direction=direction, count=count) +2370 +2371 return this 2372 -2373 def _parse_expression(self) -> t.Optional[exp.Expression]: -2374 return self._parse_alias(self._parse_conjunction()) -2375 -2376 def _parse_conjunction(self) -> t.Optional[exp.Expression]: -2377 return self._parse_tokens(self._parse_equality, self.CONJUNCTION) -2378 -2379 def _parse_equality(self) -> t.Optional[exp.Expression]: -2380 return self._parse_tokens(self._parse_comparison, self.EQUALITY) -2381 -2382 def _parse_comparison(self) -> t.Optional[exp.Expression]: -2383 return self._parse_tokens(self._parse_range, self.COMPARISON) -2384 -2385 def _parse_range(self) -> t.Optional[exp.Expression]: -2386 this = self._parse_bitwise() -2387 negate = self._match(TokenType.NOT) +2373 def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: +2374 if not self._match_set((TokenType.OFFSET, TokenType.COMMA)): +2375 return this +2376 +2377 count = self._parse_number() +2378 self._match_set((TokenType.ROW, TokenType.ROWS)) +2379 return self.expression(exp.Offset, this=this, expression=count) +2380 +2381 def _parse_lock(self) -> t.Optional[exp.Expression]: +2382 if self._match_text_seq("FOR", "UPDATE"): +2383 return self.expression(exp.Lock, update=True) +2384 if self._match_text_seq("FOR", "SHARE"): +2385 return self.expression(exp.Lock, update=False) +2386 +2387 return None 2388 -2389 if self._match_set(self.RANGE_PARSERS): -2390 this = self.RANGE_PARSERS[self._prev.token_type](self, this) -2391 elif self._match(TokenType.ISNULL): -2392 this = self.expression(exp.Is, this=this, expression=exp.Null()) -2393 -2394 # Postgres supports ISNULL and NOTNULL for conditions. -2395 # https://blog.andreiavram.ro/postgresql-null-composite-type/ -2396 if self._match(TokenType.NOTNULL): -2397 this = self.expression(exp.Is, this=this, expression=exp.Null()) -2398 this = self.expression(exp.Not, this=this) -2399 -2400 if negate: -2401 this = self.expression(exp.Not, this=this) -2402 -2403 if self._match(TokenType.IS): -2404 this = self._parse_is(this) -2405 -2406 return this -2407 -2408 def _parse_is(self, this: t.Optional[exp.Expression]) -> exp.Expression: -2409 negate = self._match(TokenType.NOT) -2410 if self._match(TokenType.DISTINCT_FROM): -2411 klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ -2412 return self.expression(klass, this=this, expression=self._parse_expression()) -2413 -2414 this = self.expression( -2415 exp.Is, -2416 this=this, -2417 expression=self._parse_null() or self._parse_boolean(), -2418 ) -2419 return self.expression(exp.Not, this=this) if negate else this +2389 def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2390 if not self._match_set(self.SET_OPERATIONS): +2391 return this +2392 +2393 token_type = self._prev.token_type +2394 +2395 if token_type == TokenType.UNION: +2396 expression = exp.Union +2397 elif token_type == TokenType.EXCEPT: +2398 expression = exp.Except +2399 else: +2400 expression = exp.Intersect +2401 +2402 return self.expression( +2403 expression, +2404 this=this, +2405 distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL), +2406 expression=self._parse_set_operations(self._parse_select(nested=True)), +2407 ) +2408 +2409 def _parse_expression(self) -> t.Optional[exp.Expression]: +2410 return self._parse_alias(self._parse_conjunction()) +2411 +2412 def _parse_conjunction(self) -> t.Optional[exp.Expression]: +2413 return self._parse_tokens(self._parse_equality, self.CONJUNCTION) +2414 +2415 def _parse_equality(self) -> t.Optional[exp.Expression]: +2416 return self._parse_tokens(self._parse_comparison, self.EQUALITY) +2417 +2418 def _parse_comparison(self) -> t.Optional[exp.Expression]: +2419 return self._parse_tokens(self._parse_range, self.COMPARISON) 2420 -2421 def _parse_in(self, this: t.Optional[exp.Expression]) -> exp.Expression: -2422 unnest = self._parse_unnest() -2423 if unnest: -2424 this = self.expression(exp.In, this=this, unnest=unnest) -2425 elif self._match(TokenType.L_PAREN): -2426 expressions = self._parse_csv(self._parse_select_or_expression) -2427 -2428 if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable): -2429 this = self.expression(exp.In, this=this, query=expressions[0]) -2430 else: -2431 this = self.expression(exp.In, this=this, expressions=expressions) -2432 -2433 self._match_r_paren() -2434 else: -2435 this = self.expression(exp.In, this=this, field=self._parse_field()) -2436 -2437 return this +2421 def _parse_range(self) -> t.Optional[exp.Expression]: +2422 this = self._parse_bitwise() +2423 negate = self._match(TokenType.NOT) +2424 +2425 if self._match_set(self.RANGE_PARSERS): +2426 this = self.RANGE_PARSERS[self._prev.token_type](self, this) +2427 elif self._match(TokenType.ISNULL): +2428 this = self.expression(exp.Is, this=this, expression=exp.Null()) +2429 +2430 # Postgres supports ISNULL and NOTNULL for conditions. +2431 # https://blog.andreiavram.ro/postgresql-null-composite-type/ +2432 if self._match(TokenType.NOTNULL): +2433 this = self.expression(exp.Is, this=this, expression=exp.Null()) +2434 this = self.expression(exp.Not, this=this) +2435 +2436 if negate: +2437 this = self.expression(exp.Not, this=this) 2438 -2439 def _parse_between(self, this: exp.Expression) -> exp.Expression: -2440 low = self._parse_bitwise() -2441 self._match(TokenType.AND) -2442 high = self._parse_bitwise() -2443 return self.expression(exp.Between, this=this, low=low, high=high) -2444 -2445 def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2446 if not self._match(TokenType.ESCAPE): -2447 return this -2448 return self.expression(exp.Escape, this=this, expression=self._parse_string()) +2439 if self._match(TokenType.IS): +2440 this = self._parse_is(this) +2441 +2442 return this +2443 +2444 def _parse_is(self, this: t.Optional[exp.Expression]) -> exp.Expression: +2445 negate = self._match(TokenType.NOT) +2446 if self._match(TokenType.DISTINCT_FROM): +2447 klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ +2448 return self.expression(klass, this=this, expression=self._parse_expression()) 2449 -2450 def _parse_bitwise(self) -> t.Optional[exp.Expression]: -2451 this = self._parse_term() -2452 -2453 while True: -2454 if self._match_set(self.BITWISE): -2455 this = self.expression( -2456 self.BITWISE[self._prev.token_type], -2457 this=this, -2458 expression=self._parse_term(), -2459 ) -2460 elif self._match_pair(TokenType.LT, TokenType.LT): -2461 this = self.expression( -2462 exp.BitwiseLeftShift, this=this, expression=self._parse_term() -2463 ) -2464 elif self._match_pair(TokenType.GT, TokenType.GT): -2465 this = self.expression( -2466 exp.BitwiseRightShift, this=this, expression=self._parse_term() -2467 ) -2468 else: -2469 break -2470 -2471 return this +2450 this = self.expression( +2451 exp.Is, +2452 this=this, +2453 expression=self._parse_null() or self._parse_boolean(), +2454 ) +2455 return self.expression(exp.Not, this=this) if negate else this +2456 +2457 def _parse_in(self, this: t.Optional[exp.Expression]) -> exp.Expression: +2458 unnest = self._parse_unnest() +2459 if unnest: +2460 this = self.expression(exp.In, this=this, unnest=unnest) +2461 elif self._match(TokenType.L_PAREN): +2462 expressions = self._parse_csv(self._parse_select_or_expression) +2463 +2464 if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable): +2465 this = self.expression(exp.In, this=this, query=expressions[0]) +2466 else: +2467 this = self.expression(exp.In, this=this, expressions=expressions) +2468 +2469 self._match_r_paren() +2470 else: +2471 this = self.expression(exp.In, this=this, field=self._parse_field()) 2472 -2473 def _parse_term(self) -> t.Optional[exp.Expression]: -2474 return self._parse_tokens(self._parse_factor, self.TERM) -2475 -2476 def _parse_factor(self) -> t.Optional[exp.Expression]: -2477 return self._parse_tokens(self._parse_unary, self.FACTOR) -2478 -2479 def _parse_unary(self) -> t.Optional[exp.Expression]: -2480 if self._match_set(self.UNARY_PARSERS): -2481 return self.UNARY_PARSERS[self._prev.token_type](self) -2482 return self._parse_at_time_zone(self._parse_type()) -2483 -2484 def _parse_type(self) -> t.Optional[exp.Expression]: -2485 if self._match(TokenType.INTERVAL): -2486 return self.expression(exp.Interval, this=self._parse_term(), unit=self._parse_var()) -2487 -2488 index = self._index -2489 type_token = self._parse_types(check_func=True) -2490 this = self._parse_column() -2491 -2492 if type_token: -2493 if this and not isinstance(this, exp.Star): -2494 return self.expression(exp.Cast, this=this, to=type_token) -2495 if not type_token.args.get("expressions"): -2496 self._retreat(index) -2497 return self._parse_column() -2498 return type_token -2499 -2500 return this -2501 -2502 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: -2503 index = self._index -2504 -2505 prefix = self._match_text_seq("SYSUDTLIB", ".") +2473 return this +2474 +2475 def _parse_between(self, this: exp.Expression) -> exp.Expression: +2476 low = self._parse_bitwise() +2477 self._match(TokenType.AND) +2478 high = self._parse_bitwise() +2479 return self.expression(exp.Between, this=this, low=low, high=high) +2480 +2481 def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2482 if not self._match(TokenType.ESCAPE): +2483 return this +2484 return self.expression(exp.Escape, this=this, expression=self._parse_string()) +2485 +2486 def _parse_bitwise(self) -> t.Optional[exp.Expression]: +2487 this = self._parse_term() +2488 +2489 while True: +2490 if self._match_set(self.BITWISE): +2491 this = self.expression( +2492 self.BITWISE[self._prev.token_type], +2493 this=this, +2494 expression=self._parse_term(), +2495 ) +2496 elif self._match_pair(TokenType.LT, TokenType.LT): +2497 this = self.expression( +2498 exp.BitwiseLeftShift, this=this, expression=self._parse_term() +2499 ) +2500 elif self._match_pair(TokenType.GT, TokenType.GT): +2501 this = self.expression( +2502 exp.BitwiseRightShift, this=this, expression=self._parse_term() +2503 ) +2504 else: +2505 break 2506 -2507 if not self._match_set(self.TYPE_TOKENS): -2508 return None -2509 -2510 type_token = self._prev.token_type +2507 return this +2508 +2509 def _parse_term(self) -> t.Optional[exp.Expression]: +2510 return self._parse_tokens(self._parse_factor, self.TERM) 2511 -2512 if type_token == TokenType.PSEUDO_TYPE: -2513 return self.expression(exp.PseudoType, this=self._prev.text) +2512 def _parse_factor(self) -> t.Optional[exp.Expression]: +2513 return self._parse_tokens(self._parse_unary, self.FACTOR) 2514 -2515 nested = type_token in self.NESTED_TYPE_TOKENS -2516 is_struct = type_token == TokenType.STRUCT -2517 expressions = None -2518 maybe_func = False +2515 def _parse_unary(self) -> t.Optional[exp.Expression]: +2516 if self._match_set(self.UNARY_PARSERS): +2517 return self.UNARY_PARSERS[self._prev.token_type](self) +2518 return self._parse_at_time_zone(self._parse_type()) 2519 -2520 if self._match(TokenType.L_PAREN): -2521 if is_struct: -2522 expressions = self._parse_csv(self._parse_struct_kwargs) -2523 elif nested: -2524 expressions = self._parse_csv(self._parse_types) -2525 else: -2526 expressions = self._parse_csv(self._parse_conjunction) +2520 def _parse_type(self) -> t.Optional[exp.Expression]: +2521 if self._match(TokenType.INTERVAL): +2522 return self.expression(exp.Interval, this=self._parse_term(), unit=self._parse_var()) +2523 +2524 index = self._index +2525 type_token = self._parse_types(check_func=True) +2526 this = self._parse_column() 2527 -2528 if not expressions: -2529 self._retreat(index) -2530 return None -2531 -2532 self._match_r_paren() -2533 maybe_func = True -2534 -2535 if not nested and self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): -2536 this = exp.DataType( -2537 this=exp.DataType.Type.ARRAY, -2538 expressions=[exp.DataType.build(type_token.value, expressions=expressions)], -2539 nested=True, -2540 ) -2541 -2542 while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): -2543 this = exp.DataType( -2544 this=exp.DataType.Type.ARRAY, -2545 expressions=[this], -2546 nested=True, -2547 ) -2548 -2549 return this +2528 if type_token: +2529 if this and not isinstance(this, exp.Star): +2530 return self.expression(exp.Cast, this=this, to=type_token) +2531 if not type_token.args.get("expressions"): +2532 self._retreat(index) +2533 return self._parse_column() +2534 return type_token +2535 +2536 return this +2537 +2538 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: +2539 index = self._index +2540 +2541 prefix = self._match_text_seq("SYSUDTLIB", ".") +2542 +2543 if not self._match_set(self.TYPE_TOKENS): +2544 return None +2545 +2546 type_token = self._prev.token_type +2547 +2548 if type_token == TokenType.PSEUDO_TYPE: +2549 return self.expression(exp.PseudoType, this=self._prev.text) 2550 -2551 if self._match(TokenType.L_BRACKET): -2552 self._retreat(index) -2553 return None -2554 -2555 values: t.Optional[t.List[t.Optional[exp.Expression]]] = None -2556 if nested and self._match(TokenType.LT): +2551 nested = type_token in self.NESTED_TYPE_TOKENS +2552 is_struct = type_token == TokenType.STRUCT +2553 expressions = None +2554 maybe_func = False +2555 +2556 if self._match(TokenType.L_PAREN): 2557 if is_struct: 2558 expressions = self._parse_csv(self._parse_struct_kwargs) -2559 else: +2559 elif nested: 2560 expressions = self._parse_csv(self._parse_types) -2561 -2562 if not self._match(TokenType.GT): -2563 self.raise_error("Expecting >") -2564 -2565 if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)): -2566 values = self._parse_csv(self._parse_conjunction) -2567 self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN)) -2568 -2569 value: t.Optional[exp.Expression] = None -2570 if type_token in self.TIMESTAMPS: -2571 if self._match(TokenType.WITH_TIME_ZONE) or type_token == TokenType.TIMESTAMPTZ: -2572 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions) -2573 elif ( -2574 self._match(TokenType.WITH_LOCAL_TIME_ZONE) or type_token == TokenType.TIMESTAMPLTZ -2575 ): -2576 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions) -2577 elif self._match(TokenType.WITHOUT_TIME_ZONE): -2578 if type_token == TokenType.TIME: -2579 value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions) -2580 else: -2581 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) -2582 -2583 maybe_func = maybe_func and value is None +2561 else: +2562 expressions = self._parse_csv(self._parse_conjunction) +2563 +2564 if not expressions: +2565 self._retreat(index) +2566 return None +2567 +2568 self._match_r_paren() +2569 maybe_func = True +2570 +2571 if not nested and self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): +2572 this = exp.DataType( +2573 this=exp.DataType.Type.ARRAY, +2574 expressions=[exp.DataType.build(type_token.value, expressions=expressions)], +2575 nested=True, +2576 ) +2577 +2578 while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET): +2579 this = exp.DataType( +2580 this=exp.DataType.Type.ARRAY, +2581 expressions=[this], +2582 nested=True, +2583 ) 2584 -2585 if value is None: -2586 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) -2587 elif type_token == TokenType.INTERVAL: -2588 value = self.expression(exp.Interval, unit=self._parse_var()) -2589 -2590 if maybe_func and check_func: -2591 index2 = self._index -2592 peek = self._parse_string() -2593 -2594 if not peek: -2595 self._retreat(index) -2596 return None +2585 return this +2586 +2587 if self._match(TokenType.L_BRACKET): +2588 self._retreat(index) +2589 return None +2590 +2591 values: t.Optional[t.List[t.Optional[exp.Expression]]] = None +2592 if nested and self._match(TokenType.LT): +2593 if is_struct: +2594 expressions = self._parse_csv(self._parse_struct_kwargs) +2595 else: +2596 expressions = self._parse_csv(self._parse_types) 2597 -2598 self._retreat(index2) -2599 -2600 if value: -2601 return value -2602 -2603 return exp.DataType( -2604 this=exp.DataType.Type[type_token.value.upper()], -2605 expressions=expressions, -2606 nested=nested, -2607 values=values, -2608 prefix=prefix, -2609 ) -2610 -2611 def _parse_struct_kwargs(self) -> t.Optional[exp.Expression]: -2612 if self._curr and self._curr.token_type in self.TYPE_TOKENS: -2613 return self._parse_types() -2614 -2615 this = self._parse_id_var() -2616 self._match(TokenType.COLON) -2617 data_type = self._parse_types() +2598 if not self._match(TokenType.GT): +2599 self.raise_error("Expecting >") +2600 +2601 if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)): +2602 values = self._parse_csv(self._parse_conjunction) +2603 self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN)) +2604 +2605 value: t.Optional[exp.Expression] = None +2606 if type_token in self.TIMESTAMPS: +2607 if self._match(TokenType.WITH_TIME_ZONE) or type_token == TokenType.TIMESTAMPTZ: +2608 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions) +2609 elif ( +2610 self._match(TokenType.WITH_LOCAL_TIME_ZONE) or type_token == TokenType.TIMESTAMPLTZ +2611 ): +2612 value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions) +2613 elif self._match(TokenType.WITHOUT_TIME_ZONE): +2614 if type_token == TokenType.TIME: +2615 value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions) +2616 else: +2617 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) 2618 -2619 if not data_type: -2620 return None -2621 return self.expression(exp.StructKwarg, this=this, expression=data_type) -2622 -2623 def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2624 if not self._match(TokenType.AT_TIME_ZONE): -2625 return this -2626 return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary()) -2627 -2628 def _parse_column(self) -> t.Optional[exp.Expression]: -2629 this = self._parse_field() -2630 if isinstance(this, exp.Identifier): -2631 this = self.expression(exp.Column, this=this) -2632 elif not this: -2633 return self._parse_bracket(this) -2634 this = self._parse_bracket(this) +2619 maybe_func = maybe_func and value is None +2620 +2621 if value is None: +2622 value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions) +2623 elif type_token == TokenType.INTERVAL: +2624 value = self.expression(exp.Interval, unit=self._parse_var()) +2625 +2626 if maybe_func and check_func: +2627 index2 = self._index +2628 peek = self._parse_string() +2629 +2630 if not peek: +2631 self._retreat(index) +2632 return None +2633 +2634 self._retreat(index2) 2635 -2636 while self._match_set(self.COLUMN_OPERATORS): -2637 op_token = self._prev.token_type -2638 op = self.COLUMN_OPERATORS.get(op_token) -2639 -2640 if op_token == TokenType.DCOLON: -2641 field = self._parse_types() -2642 if not field: -2643 self.raise_error("Expected type") -2644 elif op: -2645 self._advance() -2646 value = self._prev.text -2647 field = ( -2648 exp.Literal.number(value) -2649 if self._prev.token_type == TokenType.NUMBER -2650 else exp.Literal.string(value) -2651 ) -2652 else: -2653 field = self._parse_star() or self._parse_function() or self._parse_id_var() +2636 if value: +2637 return value +2638 +2639 return exp.DataType( +2640 this=exp.DataType.Type[type_token.value.upper()], +2641 expressions=expressions, +2642 nested=nested, +2643 values=values, +2644 prefix=prefix, +2645 ) +2646 +2647 def _parse_struct_kwargs(self) -> t.Optional[exp.Expression]: +2648 if self._curr and self._curr.token_type in self.TYPE_TOKENS: +2649 return self._parse_types() +2650 +2651 this = self._parse_id_var() +2652 self._match(TokenType.COLON) +2653 data_type = self._parse_types() 2654 -2655 if isinstance(field, exp.Func): -2656 # bigquery allows function calls like x.y.count(...) -2657 # SAFE.SUBSTR(...) -2658 # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules -2659 this = self._replace_columns_with_dots(this) -2660 -2661 if op: -2662 this = op(self, this, field) -2663 elif isinstance(this, exp.Column) and not this.args.get("catalog"): -2664 this = self.expression( -2665 exp.Column, -2666 this=field, -2667 table=this.this, -2668 db=this.args.get("table"), -2669 catalog=this.args.get("db"), -2670 ) -2671 else: -2672 this = self.expression(exp.Dot, this=this, expression=field) -2673 this = self._parse_bracket(this) -2674 -2675 return this -2676 -2677 def _parse_primary(self) -> t.Optional[exp.Expression]: -2678 if self._match_set(self.PRIMARY_PARSERS): -2679 token_type = self._prev.token_type -2680 primary = self.PRIMARY_PARSERS[token_type](self, self._prev) -2681 -2682 if token_type == TokenType.STRING: -2683 expressions = [primary] -2684 while self._match(TokenType.STRING): -2685 expressions.append(exp.Literal.string(self._prev.text)) -2686 if len(expressions) > 1: -2687 return self.expression(exp.Concat, expressions=expressions) -2688 return primary -2689 -2690 if self._match_pair(TokenType.DOT, TokenType.NUMBER): -2691 return exp.Literal.number(f"0.{self._prev.text}") -2692 -2693 if self._match(TokenType.L_PAREN): -2694 comments = self._prev_comments -2695 query = self._parse_select() +2655 if not data_type: +2656 return None +2657 return self.expression(exp.StructKwarg, this=this, expression=data_type) +2658 +2659 def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2660 if not self._match(TokenType.AT_TIME_ZONE): +2661 return this +2662 return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary()) +2663 +2664 def _parse_column(self) -> t.Optional[exp.Expression]: +2665 this = self._parse_field() +2666 if isinstance(this, exp.Identifier): +2667 this = self.expression(exp.Column, this=this) +2668 elif not this: +2669 return self._parse_bracket(this) +2670 this = self._parse_bracket(this) +2671 +2672 while self._match_set(self.COLUMN_OPERATORS): +2673 op_token = self._prev.token_type +2674 op = self.COLUMN_OPERATORS.get(op_token) +2675 +2676 if op_token == TokenType.DCOLON: +2677 field = self._parse_types() +2678 if not field: +2679 self.raise_error("Expected type") +2680 elif op: +2681 self._advance() +2682 value = self._prev.text +2683 field = ( +2684 exp.Literal.number(value) +2685 if self._prev.token_type == TokenType.NUMBER +2686 else exp.Literal.string(value) +2687 ) +2688 else: +2689 field = self._parse_star() or self._parse_function() or self._parse_id_var() +2690 +2691 if isinstance(field, exp.Func): +2692 # bigquery allows function calls like x.y.count(...) +2693 # SAFE.SUBSTR(...) +2694 # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules +2695 this = self._replace_columns_with_dots(this) 2696 -2697 if query: -2698 expressions = [query] -2699 else: -2700 expressions = self._parse_csv( -2701 lambda: self._parse_alias(self._parse_conjunction(), explicit=True) -2702 ) -2703 -2704 this = seq_get(expressions, 0) -2705 self._parse_query_modifiers(this) -2706 self._match_r_paren() -2707 -2708 if isinstance(this, exp.Subqueryable): -2709 this = self._parse_set_operations( -2710 self._parse_subquery(this=this, parse_alias=False) -2711 ) -2712 elif len(expressions) > 1: -2713 this = self.expression(exp.Tuple, expressions=expressions) -2714 else: -2715 this = self.expression(exp.Paren, this=this) -2716 -2717 if this and comments: -2718 this.comments = comments -2719 -2720 return this -2721 -2722 return None -2723 -2724 def _parse_field(self, any_token: bool = False) -> t.Optional[exp.Expression]: -2725 return self._parse_primary() or self._parse_function() or self._parse_id_var(any_token) -2726 -2727 def _parse_function( -2728 self, functions: t.Optional[t.Dict[str, t.Callable]] = None -2729 ) -> t.Optional[exp.Expression]: -2730 if not self._curr: -2731 return None +2697 if op: +2698 this = op(self, this, field) +2699 elif isinstance(this, exp.Column) and not this.args.get("catalog"): +2700 this = self.expression( +2701 exp.Column, +2702 this=field, +2703 table=this.this, +2704 db=this.args.get("table"), +2705 catalog=this.args.get("db"), +2706 ) +2707 else: +2708 this = self.expression(exp.Dot, this=this, expression=field) +2709 this = self._parse_bracket(this) +2710 +2711 return this +2712 +2713 def _parse_primary(self) -> t.Optional[exp.Expression]: +2714 if self._match_set(self.PRIMARY_PARSERS): +2715 token_type = self._prev.token_type +2716 primary = self.PRIMARY_PARSERS[token_type](self, self._prev) +2717 +2718 if token_type == TokenType.STRING: +2719 expressions = [primary] +2720 while self._match(TokenType.STRING): +2721 expressions.append(exp.Literal.string(self._prev.text)) +2722 if len(expressions) > 1: +2723 return self.expression(exp.Concat, expressions=expressions) +2724 return primary +2725 +2726 if self._match_pair(TokenType.DOT, TokenType.NUMBER): +2727 return exp.Literal.number(f"0.{self._prev.text}") +2728 +2729 if self._match(TokenType.L_PAREN): +2730 comments = self._prev_comments +2731 query = self._parse_select() 2732 -2733 token_type = self._curr.token_type -2734 -2735 if self._match_set(self.NO_PAREN_FUNCTION_PARSERS): -2736 return self.NO_PAREN_FUNCTION_PARSERS[token_type](self) -2737 -2738 if not self._next or self._next.token_type != TokenType.L_PAREN: -2739 if token_type in self.NO_PAREN_FUNCTIONS: -2740 self._advance() -2741 return self.expression(self.NO_PAREN_FUNCTIONS[token_type]) -2742 -2743 return None -2744 -2745 if token_type not in self.FUNC_TOKENS: -2746 return None -2747 -2748 this = self._curr.text -2749 upper = this.upper() -2750 self._advance(2) -2751 -2752 parser = self.FUNCTION_PARSERS.get(upper) -2753 -2754 if parser: -2755 this = parser(self) -2756 else: -2757 subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type) -2758 -2759 if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH): -2760 this = self.expression(subquery_predicate, this=self._parse_select()) -2761 self._match_r_paren() -2762 return this -2763 -2764 if functions is None: -2765 functions = self.FUNCTIONS -2766 -2767 function = functions.get(upper) -2768 args = self._parse_csv(self._parse_lambda) -2769 -2770 if function: -2771 # Clickhouse supports function calls like foo(x, y)(z), so for these we need to also parse the -2772 # second parameter list (i.e. "(z)") and the corresponding function will receive both arg lists. -2773 if count_params(function) == 2: -2774 params = None -2775 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): -2776 params = self._parse_csv(self._parse_lambda) -2777 -2778 this = function(args, params) -2779 else: -2780 this = function(args) -2781 -2782 self.validate_expression(this, args) -2783 else: -2784 this = self.expression(exp.Anonymous, this=this, expressions=args) -2785 -2786 self._match_r_paren(this) -2787 return self._parse_window(this) -2788 -2789 def _parse_function_parameter(self) -> t.Optional[exp.Expression]: -2790 return self._parse_column_def(self._parse_id_var()) -2791 -2792 def _parse_user_defined_function( -2793 self, kind: t.Optional[TokenType] = None -2794 ) -> t.Optional[exp.Expression]: -2795 this = self._parse_id_var() -2796 -2797 while self._match(TokenType.DOT): -2798 this = self.expression(exp.Dot, this=this, expression=self._parse_id_var()) +2733 if query: +2734 expressions = [query] +2735 else: +2736 expressions = self._parse_csv( +2737 lambda: self._parse_alias(self._parse_conjunction(), explicit=True) +2738 ) +2739 +2740 this = seq_get(expressions, 0) +2741 self._parse_query_modifiers(this) +2742 self._match_r_paren() +2743 +2744 if isinstance(this, exp.Subqueryable): +2745 this = self._parse_set_operations( +2746 self._parse_subquery(this=this, parse_alias=False) +2747 ) +2748 elif len(expressions) > 1: +2749 this = self.expression(exp.Tuple, expressions=expressions) +2750 else: +2751 this = self.expression(exp.Paren, this=this) +2752 +2753 if this and comments: +2754 this.comments = comments +2755 +2756 return this +2757 +2758 return None +2759 +2760 def _parse_field(self, any_token: bool = False) -> t.Optional[exp.Expression]: +2761 return self._parse_primary() or self._parse_function() or self._parse_id_var(any_token) +2762 +2763 def _parse_function( +2764 self, functions: t.Optional[t.Dict[str, t.Callable]] = None +2765 ) -> t.Optional[exp.Expression]: +2766 if not self._curr: +2767 return None +2768 +2769 token_type = self._curr.token_type +2770 +2771 if self._match_set(self.NO_PAREN_FUNCTION_PARSERS): +2772 return self.NO_PAREN_FUNCTION_PARSERS[token_type](self) +2773 +2774 if not self._next or self._next.token_type != TokenType.L_PAREN: +2775 if token_type in self.NO_PAREN_FUNCTIONS: +2776 self._advance() +2777 return self.expression(self.NO_PAREN_FUNCTIONS[token_type]) +2778 +2779 return None +2780 +2781 if token_type not in self.FUNC_TOKENS: +2782 return None +2783 +2784 this = self._curr.text +2785 upper = this.upper() +2786 self._advance(2) +2787 +2788 parser = self.FUNCTION_PARSERS.get(upper) +2789 +2790 if parser: +2791 this = parser(self) +2792 else: +2793 subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type) +2794 +2795 if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH): +2796 this = self.expression(subquery_predicate, this=self._parse_select()) +2797 self._match_r_paren() +2798 return this 2799 -2800 if not self._match(TokenType.L_PAREN): -2801 return this +2800 if functions is None: +2801 functions = self.FUNCTIONS 2802 -2803 expressions = self._parse_csv(self._parse_function_parameter) -2804 self._match_r_paren() -2805 return self.expression( -2806 exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True -2807 ) -2808 -2809 def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]: -2810 literal = self._parse_primary() -2811 if literal: -2812 return self.expression(exp.Introducer, this=token.text, expression=literal) +2803 function = functions.get(upper) +2804 args = self._parse_csv(self._parse_lambda) +2805 +2806 if function: +2807 # Clickhouse supports function calls like foo(x, y)(z), so for these we need to also parse the +2808 # second parameter list (i.e. "(z)") and the corresponding function will receive both arg lists. +2809 if count_params(function) == 2: +2810 params = None +2811 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): +2812 params = self._parse_csv(self._parse_lambda) 2813 -2814 return self.expression(exp.Identifier, this=token.text) -2815 -2816 def _parse_national(self, token: Token) -> exp.Expression: -2817 return self.expression(exp.National, this=exp.Literal.string(token.text)) -2818 -2819 def _parse_session_parameter(self) -> exp.Expression: -2820 kind = None -2821 this = self._parse_id_var() or self._parse_primary() -2822 -2823 if this and self._match(TokenType.DOT): -2824 kind = this.name -2825 this = self._parse_var() or self._parse_primary() -2826 -2827 return self.expression(exp.SessionParameter, this=this, kind=kind) -2828 -2829 def _parse_lambda(self) -> t.Optional[exp.Expression]: -2830 index = self._index -2831 -2832 if self._match(TokenType.L_PAREN): -2833 expressions = self._parse_csv(self._parse_id_var) -2834 -2835 if not self._match(TokenType.R_PAREN): -2836 self._retreat(index) -2837 else: -2838 expressions = [self._parse_id_var()] -2839 -2840 if self._match_set(self.LAMBDAS): -2841 return self.LAMBDAS[self._prev.token_type](self, expressions) -2842 -2843 self._retreat(index) +2814 this = function(args, params) +2815 else: +2816 this = function(args) +2817 +2818 self.validate_expression(this, args) +2819 else: +2820 this = self.expression(exp.Anonymous, this=this, expressions=args) +2821 +2822 self._match_r_paren(this) +2823 return self._parse_window(this) +2824 +2825 def _parse_function_parameter(self) -> t.Optional[exp.Expression]: +2826 return self._parse_column_def(self._parse_id_var()) +2827 +2828 def _parse_user_defined_function( +2829 self, kind: t.Optional[TokenType] = None +2830 ) -> t.Optional[exp.Expression]: +2831 this = self._parse_id_var() +2832 +2833 while self._match(TokenType.DOT): +2834 this = self.expression(exp.Dot, this=this, expression=self._parse_id_var()) +2835 +2836 if not self._match(TokenType.L_PAREN): +2837 return this +2838 +2839 expressions = self._parse_csv(self._parse_function_parameter) +2840 self._match_r_paren() +2841 return self.expression( +2842 exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True +2843 ) 2844 -2845 this: t.Optional[exp.Expression] -2846 -2847 if self._match(TokenType.DISTINCT): -2848 this = self.expression( -2849 exp.Distinct, expressions=self._parse_csv(self._parse_conjunction) -2850 ) -2851 else: -2852 this = self._parse_select_or_expression() -2853 -2854 if self._match(TokenType.IGNORE_NULLS): -2855 this = self.expression(exp.IgnoreNulls, this=this) -2856 else: -2857 self._match(TokenType.RESPECT_NULLS) +2845 def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]: +2846 literal = self._parse_primary() +2847 if literal: +2848 return self.expression(exp.Introducer, this=token.text, expression=literal) +2849 +2850 return self.expression(exp.Identifier, this=token.text) +2851 +2852 def _parse_national(self, token: Token) -> exp.Expression: +2853 return self.expression(exp.National, this=exp.Literal.string(token.text)) +2854 +2855 def _parse_session_parameter(self) -> exp.Expression: +2856 kind = None +2857 this = self._parse_id_var() or self._parse_primary() 2858 -2859 return self._parse_limit(self._parse_order(this)) -2860 -2861 def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: -2862 index = self._index -2863 if not self._match(TokenType.L_PAREN) or self._match(TokenType.SELECT): -2864 self._retreat(index) -2865 return this -2866 -2867 args = self._parse_csv( -2868 lambda: self._parse_constraint() -2869 or self._parse_column_def(self._parse_field(any_token=True)) -2870 ) -2871 self._match_r_paren() -2872 return self.expression(exp.Schema, this=this, expressions=args) -2873 -2874 def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -2875 kind = self._parse_types() -2876 -2877 if self._match_text_seq("FOR", "ORDINALITY"): -2878 return self.expression(exp.ColumnDef, this=this, ordinality=True) -2879 -2880 constraints = [] -2881 while True: -2882 constraint = self._parse_column_constraint() -2883 if not constraint: -2884 break -2885 constraints.append(constraint) -2886 -2887 if not kind and not constraints: -2888 return this +2859 if this and self._match(TokenType.DOT): +2860 kind = this.name +2861 this = self._parse_var() or self._parse_primary() +2862 +2863 return self.expression(exp.SessionParameter, this=this, kind=kind) +2864 +2865 def _parse_lambda(self) -> t.Optional[exp.Expression]: +2866 index = self._index +2867 +2868 if self._match(TokenType.L_PAREN): +2869 expressions = self._parse_csv(self._parse_id_var) +2870 +2871 if not self._match(TokenType.R_PAREN): +2872 self._retreat(index) +2873 else: +2874 expressions = [self._parse_id_var()] +2875 +2876 if self._match_set(self.LAMBDAS): +2877 return self.LAMBDAS[self._prev.token_type](self, expressions) +2878 +2879 self._retreat(index) +2880 +2881 this: t.Optional[exp.Expression] +2882 +2883 if self._match(TokenType.DISTINCT): +2884 this = self.expression( +2885 exp.Distinct, expressions=self._parse_csv(self._parse_conjunction) +2886 ) +2887 else: +2888 this = self._parse_select_or_expression() 2889 -2890 return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints) -2891 -2892 def _parse_auto_increment(self) -> exp.Expression: -2893 start = None -2894 increment = None -2895 -2896 if self._match(TokenType.L_PAREN, advance=False): -2897 args = self._parse_wrapped_csv(self._parse_bitwise) -2898 start = seq_get(args, 0) -2899 increment = seq_get(args, 1) -2900 elif self._match_text_seq("START"): -2901 start = self._parse_bitwise() -2902 self._match_text_seq("INCREMENT") -2903 increment = self._parse_bitwise() -2904 -2905 if start and increment: -2906 return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment) -2907 -2908 return exp.AutoIncrementColumnConstraint() +2890 if self._match(TokenType.IGNORE_NULLS): +2891 this = self.expression(exp.IgnoreNulls, this=this) +2892 else: +2893 self._match(TokenType.RESPECT_NULLS) +2894 +2895 return self._parse_limit(self._parse_order(this)) +2896 +2897 def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]: +2898 index = self._index +2899 if not self._match(TokenType.L_PAREN) or self._match(TokenType.SELECT): +2900 self._retreat(index) +2901 return this +2902 +2903 args = self._parse_csv( +2904 lambda: self._parse_constraint() +2905 or self._parse_column_def(self._parse_field(any_token=True)) +2906 ) +2907 self._match_r_paren() +2908 return self.expression(exp.Schema, this=this, expressions=args) 2909 -2910 def _parse_compress(self) -> exp.Expression: -2911 if self._match(TokenType.L_PAREN, advance=False): -2912 return self.expression( -2913 exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise) -2914 ) +2910 def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +2911 kind = self._parse_types() +2912 +2913 if self._match_text_seq("FOR", "ORDINALITY"): +2914 return self.expression(exp.ColumnDef, this=this, ordinality=True) 2915 -2916 return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise()) -2917 -2918 def _parse_generated_as_identity(self) -> exp.Expression: -2919 if self._match(TokenType.BY_DEFAULT): -2920 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=False) -2921 else: -2922 self._match_text_seq("ALWAYS") -2923 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True) -2924 -2925 self._match_text_seq("AS", "IDENTITY") -2926 if self._match(TokenType.L_PAREN): -2927 if self._match_text_seq("START", "WITH"): -2928 this.set("start", self._parse_bitwise()) -2929 if self._match_text_seq("INCREMENT", "BY"): -2930 this.set("increment", self._parse_bitwise()) -2931 if self._match_text_seq("MINVALUE"): -2932 this.set("minvalue", self._parse_bitwise()) -2933 if self._match_text_seq("MAXVALUE"): -2934 this.set("maxvalue", self._parse_bitwise()) -2935 -2936 if self._match_text_seq("CYCLE"): -2937 this.set("cycle", True) -2938 elif self._match_text_seq("NO", "CYCLE"): -2939 this.set("cycle", False) +2916 constraints = [] +2917 while True: +2918 constraint = self._parse_column_constraint() +2919 if not constraint: +2920 break +2921 constraints.append(constraint) +2922 +2923 if not kind and not constraints: +2924 return this +2925 +2926 return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints) +2927 +2928 def _parse_auto_increment(self) -> exp.Expression: +2929 start = None +2930 increment = None +2931 +2932 if self._match(TokenType.L_PAREN, advance=False): +2933 args = self._parse_wrapped_csv(self._parse_bitwise) +2934 start = seq_get(args, 0) +2935 increment = seq_get(args, 1) +2936 elif self._match_text_seq("START"): +2937 start = self._parse_bitwise() +2938 self._match_text_seq("INCREMENT") +2939 increment = self._parse_bitwise() 2940 -2941 self._match_r_paren() -2942 -2943 return this -2944 -2945 def _parse_inline(self) -> t.Optional[exp.Expression]: -2946 self._match_text_seq("LENGTH") -2947 return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise()) -2948 -2949 def _parse_not_constraint(self) -> t.Optional[exp.Expression]: -2950 if self._match_text_seq("NULL"): -2951 return self.expression(exp.NotNullColumnConstraint) -2952 if self._match_text_seq("CASESPECIFIC"): -2953 return self.expression(exp.CaseSpecificColumnConstraint, not_=True) -2954 return None -2955 -2956 def _parse_column_constraint(self) -> t.Optional[exp.Expression]: -2957 this = self._parse_references() -2958 if this: -2959 return this +2941 if start and increment: +2942 return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment) +2943 +2944 return exp.AutoIncrementColumnConstraint() +2945 +2946 def _parse_compress(self) -> exp.Expression: +2947 if self._match(TokenType.L_PAREN, advance=False): +2948 return self.expression( +2949 exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise) +2950 ) +2951 +2952 return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise()) +2953 +2954 def _parse_generated_as_identity(self) -> exp.Expression: +2955 if self._match(TokenType.BY_DEFAULT): +2956 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=False) +2957 else: +2958 self._match_text_seq("ALWAYS") +2959 this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True) 2960 -2961 if self._match(TokenType.CONSTRAINT): -2962 this = self._parse_id_var() -2963 -2964 if self._match_texts(self.CONSTRAINT_PARSERS): -2965 return self.expression( -2966 exp.ColumnConstraint, -2967 this=this, -2968 kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self), -2969 ) -2970 -2971 return this -2972 -2973 def _parse_constraint(self) -> t.Optional[exp.Expression]: -2974 if not self._match(TokenType.CONSTRAINT): -2975 return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS) +2961 self._match_text_seq("AS", "IDENTITY") +2962 if self._match(TokenType.L_PAREN): +2963 if self._match_text_seq("START", "WITH"): +2964 this.set("start", self._parse_bitwise()) +2965 if self._match_text_seq("INCREMENT", "BY"): +2966 this.set("increment", self._parse_bitwise()) +2967 if self._match_text_seq("MINVALUE"): +2968 this.set("minvalue", self._parse_bitwise()) +2969 if self._match_text_seq("MAXVALUE"): +2970 this.set("maxvalue", self._parse_bitwise()) +2971 +2972 if self._match_text_seq("CYCLE"): +2973 this.set("cycle", True) +2974 elif self._match_text_seq("NO", "CYCLE"): +2975 this.set("cycle", False) 2976 -2977 this = self._parse_id_var() -2978 expressions = [] -2979 -2980 while True: -2981 constraint = self._parse_unnamed_constraint() or self._parse_function() -2982 if not constraint: -2983 break -2984 expressions.append(constraint) -2985 -2986 return self.expression(exp.Constraint, this=this, expressions=expressions) -2987 -2988 def _parse_unnamed_constraint( -2989 self, constraints: t.Optional[t.Collection[str]] = None -2990 ) -> t.Optional[exp.Expression]: -2991 if not self._match_texts(constraints or self.CONSTRAINT_PARSERS): -2992 return None -2993 -2994 constraint = self._prev.text.upper() -2995 if constraint not in self.CONSTRAINT_PARSERS: -2996 self.raise_error(f"No parser found for schema constraint {constraint}.") -2997 -2998 return self.CONSTRAINT_PARSERS[constraint](self) +2977 self._match_r_paren() +2978 +2979 return this +2980 +2981 def _parse_inline(self) -> t.Optional[exp.Expression]: +2982 self._match_text_seq("LENGTH") +2983 return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise()) +2984 +2985 def _parse_not_constraint(self) -> t.Optional[exp.Expression]: +2986 if self._match_text_seq("NULL"): +2987 return self.expression(exp.NotNullColumnConstraint) +2988 if self._match_text_seq("CASESPECIFIC"): +2989 return self.expression(exp.CaseSpecificColumnConstraint, not_=True) +2990 return None +2991 +2992 def _parse_column_constraint(self) -> t.Optional[exp.Expression]: +2993 this = self._parse_references() +2994 if this: +2995 return this +2996 +2997 if self._match(TokenType.CONSTRAINT): +2998 this = self._parse_id_var() 2999 -3000 def _parse_unique(self) -> exp.Expression: -3001 if not self._match(TokenType.L_PAREN, advance=False): -3002 return self.expression(exp.UniqueColumnConstraint) -3003 return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars()) -3004 -3005 def _parse_key_constraint_options(self) -> t.List[str]: -3006 options = [] -3007 while True: -3008 if not self._curr: -3009 break -3010 -3011 if self._match(TokenType.ON): -3012 action = None -3013 on = self._advance_any() and self._prev.text -3014 -3015 if self._match(TokenType.NO_ACTION): -3016 action = "NO ACTION" -3017 elif self._match(TokenType.CASCADE): -3018 action = "CASCADE" -3019 elif self._match_pair(TokenType.SET, TokenType.NULL): -3020 action = "SET NULL" -3021 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): -3022 action = "SET DEFAULT" -3023 else: -3024 self.raise_error("Invalid key constraint") -3025 -3026 options.append(f"ON {on} {action}") -3027 elif self._match_text_seq("NOT", "ENFORCED"): -3028 options.append("NOT ENFORCED") -3029 elif self._match_text_seq("DEFERRABLE"): -3030 options.append("DEFERRABLE") -3031 elif self._match_text_seq("INITIALLY", "DEFERRED"): -3032 options.append("INITIALLY DEFERRED") -3033 elif self._match_text_seq("NORELY"): -3034 options.append("NORELY") -3035 elif self._match_text_seq("MATCH", "FULL"): -3036 options.append("MATCH FULL") -3037 else: -3038 break -3039 -3040 return options -3041 -3042 def _parse_references(self) -> t.Optional[exp.Expression]: -3043 if not self._match(TokenType.REFERENCES): -3044 return None -3045 -3046 expressions = None -3047 this = self._parse_id_var() -3048 -3049 if self._match(TokenType.L_PAREN, advance=False): -3050 expressions = self._parse_wrapped_id_vars() -3051 -3052 options = self._parse_key_constraint_options() -3053 return self.expression(exp.Reference, this=this, expressions=expressions, options=options) -3054 -3055 def _parse_foreign_key(self) -> exp.Expression: -3056 expressions = self._parse_wrapped_id_vars() -3057 reference = self._parse_references() -3058 options = {} -3059 -3060 while self._match(TokenType.ON): -3061 if not self._match_set((TokenType.DELETE, TokenType.UPDATE)): -3062 self.raise_error("Expected DELETE or UPDATE") -3063 -3064 kind = self._prev.text.lower() -3065 -3066 if self._match(TokenType.NO_ACTION): -3067 action = "NO ACTION" -3068 elif self._match(TokenType.SET): -3069 self._match_set((TokenType.NULL, TokenType.DEFAULT)) -3070 action = "SET " + self._prev.text.upper() -3071 else: -3072 self._advance() -3073 action = self._prev.text.upper() -3074 -3075 options[kind] = action -3076 -3077 return self.expression( -3078 exp.ForeignKey, expressions=expressions, reference=reference, **options # type: ignore -3079 ) -3080 -3081 def _parse_primary_key(self) -> exp.Expression: -3082 desc = ( -3083 self._match_set((TokenType.ASC, TokenType.DESC)) -3084 and self._prev.token_type == TokenType.DESC -3085 ) -3086 -3087 if not self._match(TokenType.L_PAREN, advance=False): -3088 return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc) -3089 -3090 expressions = self._parse_wrapped_id_vars() -3091 options = self._parse_key_constraint_options() -3092 return self.expression(exp.PrimaryKey, expressions=expressions, options=options) -3093 -3094 def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -3095 if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)): -3096 return this -3097 -3098 bracket_kind = self._prev.token_type -3099 expressions: t.List[t.Optional[exp.Expression]] -3100 -3101 if self._match(TokenType.COLON): -3102 expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())] -3103 else: -3104 expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction())) -3105 -3106 # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs -3107 if bracket_kind == TokenType.L_BRACE: -3108 this = self.expression(exp.Struct, expressions=expressions) -3109 elif not this or this.name.upper() == "ARRAY": -3110 this = self.expression(exp.Array, expressions=expressions) -3111 else: -3112 expressions = apply_index_offset(expressions, -self.index_offset) -3113 this = self.expression(exp.Bracket, this=this, expressions=expressions) -3114 -3115 if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET: -3116 self.raise_error("Expected ]") -3117 elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE: -3118 self.raise_error("Expected }") -3119 -3120 this.comments = self._prev_comments -3121 return self._parse_bracket(this) +3000 if self._match_texts(self.CONSTRAINT_PARSERS): +3001 return self.expression( +3002 exp.ColumnConstraint, +3003 this=this, +3004 kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self), +3005 ) +3006 +3007 return this +3008 +3009 def _parse_constraint(self) -> t.Optional[exp.Expression]: +3010 if not self._match(TokenType.CONSTRAINT): +3011 return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS) +3012 +3013 this = self._parse_id_var() +3014 expressions = [] +3015 +3016 while True: +3017 constraint = self._parse_unnamed_constraint() or self._parse_function() +3018 if not constraint: +3019 break +3020 expressions.append(constraint) +3021 +3022 return self.expression(exp.Constraint, this=this, expressions=expressions) +3023 +3024 def _parse_unnamed_constraint( +3025 self, constraints: t.Optional[t.Collection[str]] = None +3026 ) -> t.Optional[exp.Expression]: +3027 if not self._match_texts(constraints or self.CONSTRAINT_PARSERS): +3028 return None +3029 +3030 constraint = self._prev.text.upper() +3031 if constraint not in self.CONSTRAINT_PARSERS: +3032 self.raise_error(f"No parser found for schema constraint {constraint}.") +3033 +3034 return self.CONSTRAINT_PARSERS[constraint](self) +3035 +3036 def _parse_unique(self) -> exp.Expression: +3037 if not self._match(TokenType.L_PAREN, advance=False): +3038 return self.expression(exp.UniqueColumnConstraint) +3039 return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars()) +3040 +3041 def _parse_key_constraint_options(self) -> t.List[str]: +3042 options = [] +3043 while True: +3044 if not self._curr: +3045 break +3046 +3047 if self._match(TokenType.ON): +3048 action = None +3049 on = self._advance_any() and self._prev.text +3050 +3051 if self._match(TokenType.NO_ACTION): +3052 action = "NO ACTION" +3053 elif self._match(TokenType.CASCADE): +3054 action = "CASCADE" +3055 elif self._match_pair(TokenType.SET, TokenType.NULL): +3056 action = "SET NULL" +3057 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): +3058 action = "SET DEFAULT" +3059 else: +3060 self.raise_error("Invalid key constraint") +3061 +3062 options.append(f"ON {on} {action}") +3063 elif self._match_text_seq("NOT", "ENFORCED"): +3064 options.append("NOT ENFORCED") +3065 elif self._match_text_seq("DEFERRABLE"): +3066 options.append("DEFERRABLE") +3067 elif self._match_text_seq("INITIALLY", "DEFERRED"): +3068 options.append("INITIALLY DEFERRED") +3069 elif self._match_text_seq("NORELY"): +3070 options.append("NORELY") +3071 elif self._match_text_seq("MATCH", "FULL"): +3072 options.append("MATCH FULL") +3073 else: +3074 break +3075 +3076 return options +3077 +3078 def _parse_references(self) -> t.Optional[exp.Expression]: +3079 if not self._match(TokenType.REFERENCES): +3080 return None +3081 +3082 expressions = None +3083 this = self._parse_id_var() +3084 +3085 if self._match(TokenType.L_PAREN, advance=False): +3086 expressions = self._parse_wrapped_id_vars() +3087 +3088 options = self._parse_key_constraint_options() +3089 return self.expression(exp.Reference, this=this, expressions=expressions, options=options) +3090 +3091 def _parse_foreign_key(self) -> exp.Expression: +3092 expressions = self._parse_wrapped_id_vars() +3093 reference = self._parse_references() +3094 options = {} +3095 +3096 while self._match(TokenType.ON): +3097 if not self._match_set((TokenType.DELETE, TokenType.UPDATE)): +3098 self.raise_error("Expected DELETE or UPDATE") +3099 +3100 kind = self._prev.text.lower() +3101 +3102 if self._match(TokenType.NO_ACTION): +3103 action = "NO ACTION" +3104 elif self._match(TokenType.SET): +3105 self._match_set((TokenType.NULL, TokenType.DEFAULT)) +3106 action = "SET " + self._prev.text.upper() +3107 else: +3108 self._advance() +3109 action = self._prev.text.upper() +3110 +3111 options[kind] = action +3112 +3113 return self.expression( +3114 exp.ForeignKey, expressions=expressions, reference=reference, **options # type: ignore +3115 ) +3116 +3117 def _parse_primary_key(self) -> exp.Expression: +3118 desc = ( +3119 self._match_set((TokenType.ASC, TokenType.DESC)) +3120 and self._prev.token_type == TokenType.DESC +3121 ) 3122 -3123 def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: -3124 if self._match(TokenType.COLON): -3125 return self.expression(exp.Slice, this=this, expression=self._parse_conjunction()) -3126 return this -3127 -3128 def _parse_case(self) -> t.Optional[exp.Expression]: -3129 ifs = [] -3130 default = None -3131 -3132 expression = self._parse_conjunction() +3123 if not self._match(TokenType.L_PAREN, advance=False): +3124 return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc) +3125 +3126 expressions = self._parse_wrapped_id_vars() +3127 options = self._parse_key_constraint_options() +3128 return self.expression(exp.PrimaryKey, expressions=expressions, options=options) +3129 +3130 def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +3131 if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)): +3132 return this 3133 -3134 while self._match(TokenType.WHEN): -3135 this = self._parse_conjunction() -3136 self._match(TokenType.THEN) -3137 then = self._parse_conjunction() -3138 ifs.append(self.expression(exp.If, this=this, true=then)) -3139 -3140 if self._match(TokenType.ELSE): -3141 default = self._parse_conjunction() -3142 -3143 if not self._match(TokenType.END): -3144 self.raise_error("Expected END after CASE", self._prev) -3145 -3146 return self._parse_window( -3147 self.expression(exp.Case, this=expression, ifs=ifs, default=default) -3148 ) -3149 -3150 def _parse_if(self) -> t.Optional[exp.Expression]: -3151 if self._match(TokenType.L_PAREN): -3152 args = self._parse_csv(self._parse_conjunction) -3153 this = exp.If.from_arg_list(args) -3154 self.validate_expression(this, args) -3155 self._match_r_paren() -3156 else: -3157 condition = self._parse_conjunction() -3158 self._match(TokenType.THEN) -3159 true = self._parse_conjunction() -3160 false = self._parse_conjunction() if self._match(TokenType.ELSE) else None -3161 self._match(TokenType.END) -3162 this = self.expression(exp.If, this=condition, true=true, false=false) +3134 bracket_kind = self._prev.token_type +3135 expressions: t.List[t.Optional[exp.Expression]] +3136 +3137 if self._match(TokenType.COLON): +3138 expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())] +3139 else: +3140 expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction())) +3141 +3142 # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs +3143 if bracket_kind == TokenType.L_BRACE: +3144 this = self.expression(exp.Struct, expressions=expressions) +3145 elif not this or this.name.upper() == "ARRAY": +3146 this = self.expression(exp.Array, expressions=expressions) +3147 else: +3148 expressions = apply_index_offset(expressions, -self.index_offset) +3149 this = self.expression(exp.Bracket, this=this, expressions=expressions) +3150 +3151 if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET: +3152 self.raise_error("Expected ]") +3153 elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE: +3154 self.raise_error("Expected }") +3155 +3156 this.comments = self._prev_comments +3157 return self._parse_bracket(this) +3158 +3159 def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]: +3160 if self._match(TokenType.COLON): +3161 return self.expression(exp.Slice, this=this, expression=self._parse_conjunction()) +3162 return this 3163 -3164 return self._parse_window(this) -3165 -3166 def _parse_extract(self) -> exp.Expression: -3167 this = self._parse_function() or self._parse_var() or self._parse_type() -3168 -3169 if self._match(TokenType.FROM): -3170 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) -3171 -3172 if not self._match(TokenType.COMMA): -3173 self.raise_error("Expected FROM or comma after EXTRACT", self._prev) -3174 -3175 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) -3176 -3177 def _parse_cast(self, strict: bool) -> exp.Expression: -3178 this = self._parse_conjunction() -3179 -3180 if not self._match(TokenType.ALIAS): -3181 self.raise_error("Expected AS after CAST") -3182 -3183 to = self._parse_types() -3184 -3185 if not to: -3186 self.raise_error("Expected TYPE after CAST") -3187 elif to.this == exp.DataType.Type.CHAR: -3188 if self._match(TokenType.CHARACTER_SET): -3189 to = self.expression(exp.CharacterSet, this=self._parse_var_or_string()) -3190 -3191 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) -3192 -3193 def _parse_string_agg(self) -> exp.Expression: -3194 expression: t.Optional[exp.Expression] -3195 -3196 if self._match(TokenType.DISTINCT): -3197 args = self._parse_csv(self._parse_conjunction) -3198 expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)]) -3199 else: -3200 args = self._parse_csv(self._parse_conjunction) -3201 expression = seq_get(args, 0) -3202 -3203 index = self._index -3204 if not self._match(TokenType.R_PAREN): -3205 # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]]) -3206 order = self._parse_order(this=expression) -3207 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) -3208 -3209 # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]). -3210 # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that -3211 # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them. -3212 if not self._match(TokenType.WITHIN_GROUP): -3213 self._retreat(index) -3214 this = exp.GroupConcat.from_arg_list(args) -3215 self.validate_expression(this, args) -3216 return this -3217 -3218 self._match_l_paren() # The corresponding match_r_paren will be called in parse_function (caller) -3219 order = self._parse_order(this=expression) -3220 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) -3221 -3222 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: -3223 to: t.Optional[exp.Expression] -3224 this = self._parse_column() -3225 -3226 if self._match(TokenType.USING): -3227 to = self.expression(exp.CharacterSet, this=self._parse_var()) -3228 elif self._match(TokenType.COMMA): -3229 to = self._parse_types() -3230 else: -3231 to = None -3232 -3233 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) -3234 -3235 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: -3236 args = self._parse_csv(self._parse_bitwise) -3237 -3238 if self._match(TokenType.IN): -3239 return self.expression( -3240 exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0) -3241 ) -3242 -3243 if haystack_first: -3244 haystack = seq_get(args, 0) -3245 needle = seq_get(args, 1) -3246 else: -3247 needle = seq_get(args, 0) -3248 haystack = seq_get(args, 1) -3249 -3250 this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2)) -3251 -3252 self.validate_expression(this, args) +3164 def _parse_case(self) -> t.Optional[exp.Expression]: +3165 ifs = [] +3166 default = None +3167 +3168 expression = self._parse_conjunction() +3169 +3170 while self._match(TokenType.WHEN): +3171 this = self._parse_conjunction() +3172 self._match(TokenType.THEN) +3173 then = self._parse_conjunction() +3174 ifs.append(self.expression(exp.If, this=this, true=then)) +3175 +3176 if self._match(TokenType.ELSE): +3177 default = self._parse_conjunction() +3178 +3179 if not self._match(TokenType.END): +3180 self.raise_error("Expected END after CASE", self._prev) +3181 +3182 return self._parse_window( +3183 self.expression(exp.Case, this=expression, ifs=ifs, default=default) +3184 ) +3185 +3186 def _parse_if(self) -> t.Optional[exp.Expression]: +3187 if self._match(TokenType.L_PAREN): +3188 args = self._parse_csv(self._parse_conjunction) +3189 this = exp.If.from_arg_list(args) +3190 self.validate_expression(this, args) +3191 self._match_r_paren() +3192 else: +3193 condition = self._parse_conjunction() +3194 self._match(TokenType.THEN) +3195 true = self._parse_conjunction() +3196 false = self._parse_conjunction() if self._match(TokenType.ELSE) else None +3197 self._match(TokenType.END) +3198 this = self.expression(exp.If, this=condition, true=true, false=false) +3199 +3200 return self._parse_window(this) +3201 +3202 def _parse_extract(self) -> exp.Expression: +3203 this = self._parse_function() or self._parse_var() or self._parse_type() +3204 +3205 if self._match(TokenType.FROM): +3206 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) +3207 +3208 if not self._match(TokenType.COMMA): +3209 self.raise_error("Expected FROM or comma after EXTRACT", self._prev) +3210 +3211 return self.expression(exp.Extract, this=this, expression=self._parse_bitwise()) +3212 +3213 def _parse_cast(self, strict: bool) -> exp.Expression: +3214 this = self._parse_conjunction() +3215 +3216 if not self._match(TokenType.ALIAS): +3217 self.raise_error("Expected AS after CAST") +3218 +3219 to = self._parse_types() +3220 +3221 if not to: +3222 self.raise_error("Expected TYPE after CAST") +3223 elif to.this == exp.DataType.Type.CHAR: +3224 if self._match(TokenType.CHARACTER_SET): +3225 to = self.expression(exp.CharacterSet, this=self._parse_var_or_string()) +3226 +3227 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) +3228 +3229 def _parse_string_agg(self) -> exp.Expression: +3230 expression: t.Optional[exp.Expression] +3231 +3232 if self._match(TokenType.DISTINCT): +3233 args = self._parse_csv(self._parse_conjunction) +3234 expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)]) +3235 else: +3236 args = self._parse_csv(self._parse_conjunction) +3237 expression = seq_get(args, 0) +3238 +3239 index = self._index +3240 if not self._match(TokenType.R_PAREN): +3241 # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]]) +3242 order = self._parse_order(this=expression) +3243 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) +3244 +3245 # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]). +3246 # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that +3247 # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them. +3248 if not self._match(TokenType.WITHIN_GROUP): +3249 self._retreat(index) +3250 this = exp.GroupConcat.from_arg_list(args) +3251 self.validate_expression(this, args) +3252 return this 3253 -3254 return this -3255 -3256 def _parse_join_hint(self, func_name: str) -> exp.Expression: -3257 args = self._parse_csv(self._parse_table) -3258 return exp.JoinHint(this=func_name.upper(), expressions=args) -3259 -3260 def _parse_substring(self) -> exp.Expression: -3261 # Postgres supports the form: substring(string [from int] [for int]) -3262 # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 -3263 -3264 args = self._parse_csv(self._parse_bitwise) -3265 -3266 if self._match(TokenType.FROM): -3267 args.append(self._parse_bitwise()) -3268 if self._match(TokenType.FOR): -3269 args.append(self._parse_bitwise()) +3254 self._match_l_paren() # The corresponding match_r_paren will be called in parse_function (caller) +3255 order = self._parse_order(this=expression) +3256 return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1)) +3257 +3258 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: +3259 to: t.Optional[exp.Expression] +3260 this = self._parse_column() +3261 +3262 if self._match(TokenType.USING): +3263 to = self.expression(exp.CharacterSet, this=self._parse_var()) +3264 elif self._match(TokenType.COMMA): +3265 to = self._parse_types() +3266 else: +3267 to = None +3268 +3269 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) 3270 -3271 this = exp.Substring.from_arg_list(args) -3272 self.validate_expression(this, args) +3271 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: +3272 args = self._parse_csv(self._parse_bitwise) 3273 -3274 return this -3275 -3276 def _parse_trim(self) -> exp.Expression: -3277 # https://www.w3resource.com/sql/character-functions/trim.php -3278 # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html -3279 -3280 position = None -3281 collation = None -3282 -3283 if self._match_set(self.TRIM_TYPES): -3284 position = self._prev.text.upper() +3274 if self._match(TokenType.IN): +3275 return self.expression( +3276 exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0) +3277 ) +3278 +3279 if haystack_first: +3280 haystack = seq_get(args, 0) +3281 needle = seq_get(args, 1) +3282 else: +3283 needle = seq_get(args, 0) +3284 haystack = seq_get(args, 1) 3285 -3286 expression = self._parse_term() -3287 if self._match_set((TokenType.FROM, TokenType.COMMA)): -3288 this = self._parse_term() -3289 else: -3290 this = expression -3291 expression = None -3292 -3293 if self._match(TokenType.COLLATE): -3294 collation = self._parse_term() +3286 this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2)) +3287 +3288 self.validate_expression(this, args) +3289 +3290 return this +3291 +3292 def _parse_join_hint(self, func_name: str) -> exp.Expression: +3293 args = self._parse_csv(self._parse_table) +3294 return exp.JoinHint(this=func_name.upper(), expressions=args) 3295 -3296 return self.expression( -3297 exp.Trim, -3298 this=this, -3299 position=position, -3300 expression=expression, -3301 collation=collation, -3302 ) -3303 -3304 def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3305 return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window) +3296 def _parse_substring(self) -> exp.Expression: +3297 # Postgres supports the form: substring(string [from int] [for int]) +3298 # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 +3299 +3300 args = self._parse_csv(self._parse_bitwise) +3301 +3302 if self._match(TokenType.FROM): +3303 args.append(self._parse_bitwise()) +3304 if self._match(TokenType.FOR): +3305 args.append(self._parse_bitwise()) 3306 -3307 def _parse_named_window(self) -> t.Optional[exp.Expression]: -3308 return self._parse_window(self._parse_id_var(), alias=True) +3307 this = exp.Substring.from_arg_list(args) +3308 self.validate_expression(this, args) 3309 -3310 def _parse_window( -3311 self, this: t.Optional[exp.Expression], alias: bool = False -3312 ) -> t.Optional[exp.Expression]: -3313 if self._match(TokenType.FILTER): -3314 where = self._parse_wrapped(self._parse_where) -3315 this = self.expression(exp.Filter, this=this, expression=where) -3316 -3317 # T-SQL allows the OVER (...) syntax after WITHIN GROUP. -3318 # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16 -3319 if self._match(TokenType.WITHIN_GROUP): -3320 order = self._parse_wrapped(self._parse_order) -3321 this = self.expression(exp.WithinGroup, this=this, expression=order) -3322 -3323 # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER -3324 # Some dialects choose to implement and some do not. -3325 # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html -3326 -3327 # There is some code above in _parse_lambda that handles -3328 # SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ... -3329 -3330 # The below changes handle -3331 # SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ... -3332 -3333 # Oracle allows both formats -3334 # (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html) -3335 # and Snowflake chose to do the same for familiarity -3336 # https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes -3337 if self._match(TokenType.IGNORE_NULLS): -3338 this = self.expression(exp.IgnoreNulls, this=this) -3339 elif self._match(TokenType.RESPECT_NULLS): -3340 this = self.expression(exp.RespectNulls, this=this) -3341 -3342 # bigquery select from window x AS (partition by ...) -3343 if alias: -3344 self._match(TokenType.ALIAS) -3345 elif not self._match(TokenType.OVER): -3346 return this -3347 -3348 if not self._match(TokenType.L_PAREN): -3349 return self.expression(exp.Window, this=this, alias=self._parse_id_var(False)) -3350 -3351 window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS) -3352 partition = self._parse_partition_by() -3353 order = self._parse_order() -3354 kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text -3355 -3356 if kind: -3357 self._match(TokenType.BETWEEN) -3358 start = self._parse_window_spec() -3359 self._match(TokenType.AND) -3360 end = self._parse_window_spec() -3361 -3362 spec = self.expression( -3363 exp.WindowSpec, -3364 kind=kind, -3365 start=start["value"], -3366 start_side=start["side"], -3367 end=end["value"], -3368 end_side=end["side"], -3369 ) -3370 else: -3371 spec = None -3372 -3373 self._match_r_paren() -3374 -3375 return self.expression( -3376 exp.Window, -3377 this=this, -3378 partition_by=partition, -3379 order=order, -3380 spec=spec, -3381 alias=window_alias, -3382 ) +3310 return this +3311 +3312 def _parse_trim(self) -> exp.Expression: +3313 # https://www.w3resource.com/sql/character-functions/trim.php +3314 # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html +3315 +3316 position = None +3317 collation = None +3318 +3319 if self._match_set(self.TRIM_TYPES): +3320 position = self._prev.text.upper() +3321 +3322 expression = self._parse_term() +3323 if self._match_set((TokenType.FROM, TokenType.COMMA)): +3324 this = self._parse_term() +3325 else: +3326 this = expression +3327 expression = None +3328 +3329 if self._match(TokenType.COLLATE): +3330 collation = self._parse_term() +3331 +3332 return self.expression( +3333 exp.Trim, +3334 this=this, +3335 position=position, +3336 expression=expression, +3337 collation=collation, +3338 ) +3339 +3340 def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3341 return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window) +3342 +3343 def _parse_named_window(self) -> t.Optional[exp.Expression]: +3344 return self._parse_window(self._parse_id_var(), alias=True) +3345 +3346 def _parse_window( +3347 self, this: t.Optional[exp.Expression], alias: bool = False +3348 ) -> t.Optional[exp.Expression]: +3349 if self._match(TokenType.FILTER): +3350 where = self._parse_wrapped(self._parse_where) +3351 this = self.expression(exp.Filter, this=this, expression=where) +3352 +3353 # T-SQL allows the OVER (...) syntax after WITHIN GROUP. +3354 # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16 +3355 if self._match(TokenType.WITHIN_GROUP): +3356 order = self._parse_wrapped(self._parse_order) +3357 this = self.expression(exp.WithinGroup, this=this, expression=order) +3358 +3359 # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER +3360 # Some dialects choose to implement and some do not. +3361 # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html +3362 +3363 # There is some code above in _parse_lambda that handles +3364 # SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ... +3365 +3366 # The below changes handle +3367 # SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ... +3368 +3369 # Oracle allows both formats +3370 # (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html) +3371 # and Snowflake chose to do the same for familiarity +3372 # https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes +3373 if self._match(TokenType.IGNORE_NULLS): +3374 this = self.expression(exp.IgnoreNulls, this=this) +3375 elif self._match(TokenType.RESPECT_NULLS): +3376 this = self.expression(exp.RespectNulls, this=this) +3377 +3378 # bigquery select from window x AS (partition by ...) +3379 if alias: +3380 self._match(TokenType.ALIAS) +3381 elif not self._match(TokenType.OVER): +3382 return this 3383 -3384 def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]: -3385 self._match(TokenType.BETWEEN) +3384 if not self._match(TokenType.L_PAREN): +3385 return self.expression(exp.Window, this=this, alias=self._parse_id_var(False)) 3386 -3387 return { -3388 "value": ( -3389 self._match_set((TokenType.UNBOUNDED, TokenType.CURRENT_ROW)) and self._prev.text -3390 ) -3391 or self._parse_bitwise(), -3392 "side": self._match_set((TokenType.PRECEDING, TokenType.FOLLOWING)) and self._prev.text, -3393 } -3394 -3395 def _parse_alias( -3396 self, this: t.Optional[exp.Expression], explicit: bool = False -3397 ) -> t.Optional[exp.Expression]: -3398 any_token = self._match(TokenType.ALIAS) -3399 -3400 if explicit and not any_token: -3401 return this -3402 -3403 if self._match(TokenType.L_PAREN): -3404 aliases = self.expression( -3405 exp.Aliases, -3406 this=this, -3407 expressions=self._parse_csv(lambda: self._parse_id_var(any_token)), -3408 ) -3409 self._match_r_paren(aliases) -3410 return aliases -3411 -3412 alias = self._parse_id_var(any_token) -3413 -3414 if alias: -3415 return self.expression(exp.Alias, this=this, alias=alias) -3416 -3417 return this -3418 -3419 def _parse_id_var( -3420 self, -3421 any_token: bool = True, -3422 tokens: t.Optional[t.Collection[TokenType]] = None, -3423 prefix_tokens: t.Optional[t.Collection[TokenType]] = None, -3424 ) -> t.Optional[exp.Expression]: -3425 identifier = self._parse_identifier() -3426 -3427 if identifier: -3428 return identifier -3429 -3430 prefix = "" -3431 -3432 if prefix_tokens: -3433 while self._match_set(prefix_tokens): -3434 prefix += self._prev.text +3387 window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS) +3388 partition = self._parse_partition_by() +3389 order = self._parse_order() +3390 kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text +3391 +3392 if kind: +3393 self._match(TokenType.BETWEEN) +3394 start = self._parse_window_spec() +3395 self._match(TokenType.AND) +3396 end = self._parse_window_spec() +3397 +3398 spec = self.expression( +3399 exp.WindowSpec, +3400 kind=kind, +3401 start=start["value"], +3402 start_side=start["side"], +3403 end=end["value"], +3404 end_side=end["side"], +3405 ) +3406 else: +3407 spec = None +3408 +3409 self._match_r_paren() +3410 +3411 return self.expression( +3412 exp.Window, +3413 this=this, +3414 partition_by=partition, +3415 order=order, +3416 spec=spec, +3417 alias=window_alias, +3418 ) +3419 +3420 def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]: +3421 self._match(TokenType.BETWEEN) +3422 +3423 return { +3424 "value": ( +3425 self._match_set((TokenType.UNBOUNDED, TokenType.CURRENT_ROW)) and self._prev.text +3426 ) +3427 or self._parse_bitwise(), +3428 "side": self._match_set((TokenType.PRECEDING, TokenType.FOLLOWING)) and self._prev.text, +3429 } +3430 +3431 def _parse_alias( +3432 self, this: t.Optional[exp.Expression], explicit: bool = False +3433 ) -> t.Optional[exp.Expression]: +3434 any_token = self._match(TokenType.ALIAS) 3435 -3436 if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS): -3437 quoted = self._prev.token_type == TokenType.STRING -3438 return exp.Identifier(this=prefix + self._prev.text, quoted=quoted) -3439 -3440 return None -3441 -3442 def _parse_string(self) -> t.Optional[exp.Expression]: -3443 if self._match(TokenType.STRING): -3444 return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev) -3445 return self._parse_placeholder() -3446 -3447 def _parse_number(self) -> t.Optional[exp.Expression]: -3448 if self._match(TokenType.NUMBER): -3449 return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev) -3450 return self._parse_placeholder() -3451 -3452 def _parse_identifier(self) -> t.Optional[exp.Expression]: -3453 if self._match(TokenType.IDENTIFIER): -3454 return self.expression(exp.Identifier, this=self._prev.text, quoted=True) -3455 return self._parse_placeholder() -3456 -3457 def _parse_var(self, any_token: bool = False) -> t.Optional[exp.Expression]: -3458 if (any_token and self._advance_any()) or self._match(TokenType.VAR): -3459 return self.expression(exp.Var, this=self._prev.text) -3460 return self._parse_placeholder() -3461 -3462 def _advance_any(self) -> t.Optional[Token]: -3463 if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS: -3464 self._advance() -3465 return self._prev -3466 return None +3436 if explicit and not any_token: +3437 return this +3438 +3439 if self._match(TokenType.L_PAREN): +3440 aliases = self.expression( +3441 exp.Aliases, +3442 this=this, +3443 expressions=self._parse_csv(lambda: self._parse_id_var(any_token)), +3444 ) +3445 self._match_r_paren(aliases) +3446 return aliases +3447 +3448 alias = self._parse_id_var(any_token) +3449 +3450 if alias: +3451 return self.expression(exp.Alias, this=this, alias=alias) +3452 +3453 return this +3454 +3455 def _parse_id_var( +3456 self, +3457 any_token: bool = True, +3458 tokens: t.Optional[t.Collection[TokenType]] = None, +3459 prefix_tokens: t.Optional[t.Collection[TokenType]] = None, +3460 ) -> t.Optional[exp.Expression]: +3461 identifier = self._parse_identifier() +3462 +3463 if identifier: +3464 return identifier +3465 +3466 prefix = "" 3467 -3468 def _parse_var_or_string(self) -> t.Optional[exp.Expression]: -3469 return self._parse_var() or self._parse_string() -3470 -3471 def _parse_null(self) -> t.Optional[exp.Expression]: -3472 if self._match(TokenType.NULL): -3473 return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev) -3474 return None +3468 if prefix_tokens: +3469 while self._match_set(prefix_tokens): +3470 prefix += self._prev.text +3471 +3472 if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS): +3473 quoted = self._prev.token_type == TokenType.STRING +3474 return exp.Identifier(this=prefix + self._prev.text, quoted=quoted) 3475 -3476 def _parse_boolean(self) -> t.Optional[exp.Expression]: -3477 if self._match(TokenType.TRUE): -3478 return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev) -3479 if self._match(TokenType.FALSE): -3480 return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev) -3481 return None +3476 return None +3477 +3478 def _parse_string(self) -> t.Optional[exp.Expression]: +3479 if self._match(TokenType.STRING): +3480 return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev) +3481 return self._parse_placeholder() 3482 -3483 def _parse_star(self) -> t.Optional[exp.Expression]: -3484 if self._match(TokenType.STAR): -3485 return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev) -3486 return None +3483 def _parse_number(self) -> t.Optional[exp.Expression]: +3484 if self._match(TokenType.NUMBER): +3485 return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev) +3486 return self._parse_placeholder() 3487 -3488 def _parse_parameter(self) -> exp.Expression: -3489 wrapped = self._match(TokenType.L_BRACE) -3490 this = self._parse_var() or self._parse_primary() -3491 self._match(TokenType.R_BRACE) -3492 return self.expression(exp.Parameter, this=this, wrapped=wrapped) -3493 -3494 def _parse_placeholder(self) -> t.Optional[exp.Expression]: -3495 if self._match_set(self.PLACEHOLDER_PARSERS): -3496 placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self) -3497 if placeholder: -3498 return placeholder -3499 self._advance(-1) -3500 return None -3501 -3502 def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3503 if not self._match(TokenType.EXCEPT): -3504 return None -3505 if self._match(TokenType.L_PAREN, advance=False): -3506 return self._parse_wrapped_csv(self._parse_column) -3507 return self._parse_csv(self._parse_column) -3508 -3509 def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -3510 if not self._match(TokenType.REPLACE): -3511 return None -3512 if self._match(TokenType.L_PAREN, advance=False): -3513 return self._parse_wrapped_csv(self._parse_expression) -3514 return self._parse_csv(self._parse_expression) -3515 -3516 def _parse_csv( -3517 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA -3518 ) -> t.List[t.Optional[exp.Expression]]: -3519 parse_result = parse_method() -3520 items = [parse_result] if parse_result is not None else [] -3521 -3522 while self._match(sep): -3523 if parse_result and self._prev_comments: -3524 parse_result.comments = self._prev_comments -3525 -3526 parse_result = parse_method() -3527 if parse_result is not None: -3528 items.append(parse_result) +3488 def _parse_identifier(self) -> t.Optional[exp.Expression]: +3489 if self._match(TokenType.IDENTIFIER): +3490 return self.expression(exp.Identifier, this=self._prev.text, quoted=True) +3491 return self._parse_placeholder() +3492 +3493 def _parse_var(self, any_token: bool = False) -> t.Optional[exp.Expression]: +3494 if (any_token and self._advance_any()) or self._match(TokenType.VAR): +3495 return self.expression(exp.Var, this=self._prev.text) +3496 return self._parse_placeholder() +3497 +3498 def _advance_any(self) -> t.Optional[Token]: +3499 if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS: +3500 self._advance() +3501 return self._prev +3502 return None +3503 +3504 def _parse_var_or_string(self) -> t.Optional[exp.Expression]: +3505 return self._parse_var() or self._parse_string() +3506 +3507 def _parse_null(self) -> t.Optional[exp.Expression]: +3508 if self._match(TokenType.NULL): +3509 return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev) +3510 return None +3511 +3512 def _parse_boolean(self) -> t.Optional[exp.Expression]: +3513 if self._match(TokenType.TRUE): +3514 return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev) +3515 if self._match(TokenType.FALSE): +3516 return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev) +3517 return None +3518 +3519 def _parse_star(self) -> t.Optional[exp.Expression]: +3520 if self._match(TokenType.STAR): +3521 return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev) +3522 return None +3523 +3524 def _parse_parameter(self) -> exp.Expression: +3525 wrapped = self._match(TokenType.L_BRACE) +3526 this = self._parse_var() or self._parse_primary() +3527 self._match(TokenType.R_BRACE) +3528 return self.expression(exp.Parameter, this=this, wrapped=wrapped) 3529 -3530 return items -3531 -3532 def _parse_tokens( -3533 self, parse_method: t.Callable, expressions: t.Dict -3534 ) -> t.Optional[exp.Expression]: -3535 this = parse_method() -3536 -3537 while self._match_set(expressions): -3538 this = self.expression( -3539 expressions[self._prev.token_type], -3540 this=this, -3541 comments=self._prev_comments, -3542 expression=parse_method(), -3543 ) +3530 def _parse_placeholder(self) -> t.Optional[exp.Expression]: +3531 if self._match_set(self.PLACEHOLDER_PARSERS): +3532 placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self) +3533 if placeholder: +3534 return placeholder +3535 self._advance(-1) +3536 return None +3537 +3538 def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3539 if not self._match(TokenType.EXCEPT): +3540 return None +3541 if self._match(TokenType.L_PAREN, advance=False): +3542 return self._parse_wrapped_csv(self._parse_column) +3543 return self._parse_csv(self._parse_column) 3544 -3545 return this -3546 -3547 def _parse_wrapped_id_vars(self) -> t.List[t.Optional[exp.Expression]]: -3548 return self._parse_wrapped_csv(self._parse_id_var) -3549 -3550 def _parse_wrapped_csv( -3551 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA -3552 ) -> t.List[t.Optional[exp.Expression]]: -3553 return self._parse_wrapped(lambda: self._parse_csv(parse_method, sep=sep)) -3554 -3555 def _parse_wrapped(self, parse_method: t.Callable) -> t.Any: -3556 self._match_l_paren() -3557 parse_result = parse_method() -3558 self._match_r_paren() -3559 return parse_result -3560 -3561 def _parse_select_or_expression(self) -> t.Optional[exp.Expression]: -3562 return self._parse_select() or self._parse_expression() -3563 -3564 def _parse_ddl_select(self) -> t.Optional[exp.Expression]: -3565 return self._parse_set_operations( -3566 self._parse_select(nested=True, parse_subquery_alias=False) -3567 ) -3568 -3569 def _parse_transaction(self) -> exp.Expression: -3570 this = None -3571 if self._match_texts(self.TRANSACTION_KIND): -3572 this = self._prev.text -3573 -3574 self._match_texts({"TRANSACTION", "WORK"}) -3575 -3576 modes = [] -3577 while True: -3578 mode = [] -3579 while self._match(TokenType.VAR): -3580 mode.append(self._prev.text) -3581 -3582 if mode: -3583 modes.append(" ".join(mode)) -3584 if not self._match(TokenType.COMMA): -3585 break -3586 -3587 return self.expression(exp.Transaction, this=this, modes=modes) -3588 -3589 def _parse_commit_or_rollback(self) -> exp.Expression: -3590 chain = None -3591 savepoint = None -3592 is_rollback = self._prev.token_type == TokenType.ROLLBACK -3593 -3594 self._match_texts({"TRANSACTION", "WORK"}) -3595 -3596 if self._match_text_seq("TO"): -3597 self._match_text_seq("SAVEPOINT") -3598 savepoint = self._parse_id_var() +3545 def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +3546 if not self._match(TokenType.REPLACE): +3547 return None +3548 if self._match(TokenType.L_PAREN, advance=False): +3549 return self._parse_wrapped_csv(self._parse_expression) +3550 return self._parse_csv(self._parse_expression) +3551 +3552 def _parse_csv( +3553 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA +3554 ) -> t.List[t.Optional[exp.Expression]]: +3555 parse_result = parse_method() +3556 items = [parse_result] if parse_result is not None else [] +3557 +3558 while self._match(sep): +3559 if parse_result and self._prev_comments: +3560 parse_result.comments = self._prev_comments +3561 +3562 parse_result = parse_method() +3563 if parse_result is not None: +3564 items.append(parse_result) +3565 +3566 return items +3567 +3568 def _parse_tokens( +3569 self, parse_method: t.Callable, expressions: t.Dict +3570 ) -> t.Optional[exp.Expression]: +3571 this = parse_method() +3572 +3573 while self._match_set(expressions): +3574 this = self.expression( +3575 expressions[self._prev.token_type], +3576 this=this, +3577 comments=self._prev_comments, +3578 expression=parse_method(), +3579 ) +3580 +3581 return this +3582 +3583 def _parse_wrapped_id_vars(self) -> t.List[t.Optional[exp.Expression]]: +3584 return self._parse_wrapped_csv(self._parse_id_var) +3585 +3586 def _parse_wrapped_csv( +3587 self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA +3588 ) -> t.List[t.Optional[exp.Expression]]: +3589 return self._parse_wrapped(lambda: self._parse_csv(parse_method, sep=sep)) +3590 +3591 def _parse_wrapped(self, parse_method: t.Callable) -> t.Any: +3592 self._match_l_paren() +3593 parse_result = parse_method() +3594 self._match_r_paren() +3595 return parse_result +3596 +3597 def _parse_select_or_expression(self) -> t.Optional[exp.Expression]: +3598 return self._parse_select() or self._parse_expression() 3599 -3600 if self._match(TokenType.AND): -3601 chain = not self._match_text_seq("NO") -3602 self._match_text_seq("CHAIN") -3603 -3604 if is_rollback: -3605 return self.expression(exp.Rollback, savepoint=savepoint) -3606 return self.expression(exp.Commit, chain=chain) -3607 -3608 def _parse_add_column(self) -> t.Optional[exp.Expression]: -3609 if not self._match_text_seq("ADD"): -3610 return None +3600 def _parse_ddl_select(self) -> t.Optional[exp.Expression]: +3601 return self._parse_set_operations( +3602 self._parse_select(nested=True, parse_subquery_alias=False) +3603 ) +3604 +3605 def _parse_transaction(self) -> exp.Expression: +3606 this = None +3607 if self._match_texts(self.TRANSACTION_KIND): +3608 this = self._prev.text +3609 +3610 self._match_texts({"TRANSACTION", "WORK"}) 3611 -3612 self._match(TokenType.COLUMN) -3613 exists_column = self._parse_exists(not_=True) -3614 expression = self._parse_column_def(self._parse_field(any_token=True)) -3615 -3616 if expression: -3617 expression.set("exists", exists_column) -3618 -3619 return expression -3620 -3621 def _parse_drop_column(self) -> t.Optional[exp.Expression]: -3622 return self._match(TokenType.DROP) and self._parse_drop(default_kind="COLUMN") -3623 -3624 # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html -3625 def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression: -3626 return self.expression( -3627 exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists -3628 ) +3612 modes = [] +3613 while True: +3614 mode = [] +3615 while self._match(TokenType.VAR): +3616 mode.append(self._prev.text) +3617 +3618 if mode: +3619 modes.append(" ".join(mode)) +3620 if not self._match(TokenType.COMMA): +3621 break +3622 +3623 return self.expression(exp.Transaction, this=this, modes=modes) +3624 +3625 def _parse_commit_or_rollback(self) -> exp.Expression: +3626 chain = None +3627 savepoint = None +3628 is_rollback = self._prev.token_type == TokenType.ROLLBACK 3629 -3630 def _parse_add_constraint(self) -> t.Optional[exp.Expression]: -3631 this = None -3632 kind = self._prev.token_type -3633 -3634 if kind == TokenType.CONSTRAINT: -3635 this = self._parse_id_var() -3636 -3637 if self._match_text_seq("CHECK"): -3638 expression = self._parse_wrapped(self._parse_conjunction) -3639 enforced = self._match_text_seq("ENFORCED") -3640 -3641 return self.expression( -3642 exp.AddConstraint, this=this, expression=expression, enforced=enforced -3643 ) -3644 -3645 if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY): -3646 expression = self._parse_foreign_key() -3647 elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY): -3648 expression = self._parse_primary_key() -3649 -3650 return self.expression(exp.AddConstraint, this=this, expression=expression) +3630 self._match_texts({"TRANSACTION", "WORK"}) +3631 +3632 if self._match_text_seq("TO"): +3633 self._match_text_seq("SAVEPOINT") +3634 savepoint = self._parse_id_var() +3635 +3636 if self._match(TokenType.AND): +3637 chain = not self._match_text_seq("NO") +3638 self._match_text_seq("CHAIN") +3639 +3640 if is_rollback: +3641 return self.expression(exp.Rollback, savepoint=savepoint) +3642 return self.expression(exp.Commit, chain=chain) +3643 +3644 def _parse_add_column(self) -> t.Optional[exp.Expression]: +3645 if not self._match_text_seq("ADD"): +3646 return None +3647 +3648 self._match(TokenType.COLUMN) +3649 exists_column = self._parse_exists(not_=True) +3650 expression = self._parse_column_def(self._parse_field(any_token=True)) 3651 -3652 def _parse_alter(self) -> t.Optional[exp.Expression]: -3653 if not self._match(TokenType.TABLE): -3654 return self._parse_as_command(self._prev) -3655 -3656 exists = self._parse_exists() -3657 this = self._parse_table(schema=True) -3658 -3659 actions: t.Optional[exp.Expression | t.List[t.Optional[exp.Expression]]] = None -3660 -3661 index = self._index -3662 if self._match(TokenType.DELETE): -3663 actions = [self.expression(exp.Delete, where=self._parse_where())] -3664 elif self._match_text_seq("ADD"): -3665 if self._match_set(self.ADD_CONSTRAINT_TOKENS): -3666 actions = self._parse_csv(self._parse_add_constraint) -3667 else: -3668 self._retreat(index) -3669 actions = self._parse_csv(self._parse_add_column) -3670 elif self._match_text_seq("DROP"): -3671 partition_exists = self._parse_exists() +3652 if expression: +3653 expression.set("exists", exists_column) +3654 +3655 return expression +3656 +3657 def _parse_drop_column(self) -> t.Optional[exp.Expression]: +3658 return self._match(TokenType.DROP) and self._parse_drop(default_kind="COLUMN") +3659 +3660 # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html +3661 def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression: +3662 return self.expression( +3663 exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists +3664 ) +3665 +3666 def _parse_add_constraint(self) -> t.Optional[exp.Expression]: +3667 this = None +3668 kind = self._prev.token_type +3669 +3670 if kind == TokenType.CONSTRAINT: +3671 this = self._parse_id_var() 3672 -3673 if self._match(TokenType.PARTITION, advance=False): -3674 actions = self._parse_csv( -3675 lambda: self._parse_drop_partition(exists=partition_exists) -3676 ) -3677 else: -3678 self._retreat(index) -3679 actions = self._parse_csv(self._parse_drop_column) -3680 elif self._match_text_seq("RENAME", "TO"): -3681 actions = self.expression(exp.RenameTable, this=self._parse_table(schema=True)) -3682 elif self._match_text_seq("ALTER"): -3683 self._match(TokenType.COLUMN) -3684 column = self._parse_field(any_token=True) +3673 if self._match_text_seq("CHECK"): +3674 expression = self._parse_wrapped(self._parse_conjunction) +3675 enforced = self._match_text_seq("ENFORCED") +3676 +3677 return self.expression( +3678 exp.AddConstraint, this=this, expression=expression, enforced=enforced +3679 ) +3680 +3681 if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY): +3682 expression = self._parse_foreign_key() +3683 elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY): +3684 expression = self._parse_primary_key() 3685 -3686 if self._match_pair(TokenType.DROP, TokenType.DEFAULT): -3687 actions = self.expression(exp.AlterColumn, this=column, drop=True) -3688 elif self._match_pair(TokenType.SET, TokenType.DEFAULT): -3689 actions = self.expression( -3690 exp.AlterColumn, this=column, default=self._parse_conjunction() -3691 ) -3692 else: -3693 self._match_text_seq("SET", "DATA") -3694 actions = self.expression( -3695 exp.AlterColumn, -3696 this=column, -3697 dtype=self._match_text_seq("TYPE") and self._parse_types(), -3698 collate=self._match(TokenType.COLLATE) and self._parse_term(), -3699 using=self._match(TokenType.USING) and self._parse_conjunction(), -3700 ) -3701 -3702 actions = ensure_list(actions) -3703 return self.expression(exp.AlterTable, this=this, exists=exists, actions=actions) -3704 -3705 def _parse_show(self) -> t.Optional[exp.Expression]: -3706 parser = self._find_parser(self.SHOW_PARSERS, self._show_trie) # type: ignore -3707 if parser: -3708 return parser(self) -3709 self._advance() -3710 return self.expression(exp.Show, this=self._prev.text.upper()) -3711 -3712 def _default_parse_set_item(self) -> exp.Expression: -3713 return self.expression( -3714 exp.SetItem, -3715 this=self._parse_statement(), -3716 ) +3686 return self.expression(exp.AddConstraint, this=this, expression=expression) +3687 +3688 def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]: +3689 index = self._index - 1 +3690 +3691 if self._match_set(self.ADD_CONSTRAINT_TOKENS): +3692 return self._parse_csv(self._parse_add_constraint) +3693 +3694 self._retreat(index) +3695 return self._parse_csv(self._parse_add_column) +3696 +3697 def _parse_alter_table_alter(self) -> exp.Expression: +3698 self._match(TokenType.COLUMN) +3699 column = self._parse_field(any_token=True) +3700 +3701 if self._match_pair(TokenType.DROP, TokenType.DEFAULT): +3702 return self.expression(exp.AlterColumn, this=column, drop=True) +3703 if self._match_pair(TokenType.SET, TokenType.DEFAULT): +3704 return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction()) +3705 +3706 self._match_text_seq("SET", "DATA") +3707 return self.expression( +3708 exp.AlterColumn, +3709 this=column, +3710 dtype=self._match_text_seq("TYPE") and self._parse_types(), +3711 collate=self._match(TokenType.COLLATE) and self._parse_term(), +3712 using=self._match(TokenType.USING) and self._parse_conjunction(), +3713 ) +3714 +3715 def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]: +3716 index = self._index - 1 3717 -3718 def _parse_set_item(self) -> t.Optional[exp.Expression]: -3719 parser = self._find_parser(self.SET_PARSERS, self._set_trie) # type: ignore -3720 return parser(self) if parser else self._default_parse_set_item() +3718 partition_exists = self._parse_exists() +3719 if self._match(TokenType.PARTITION, advance=False): +3720 return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists)) 3721 -3722 def _parse_merge(self) -> exp.Expression: -3723 self._match(TokenType.INTO) -3724 target = self._parse_table() -3725 -3726 self._match(TokenType.USING) -3727 using = self._parse_table() +3722 self._retreat(index) +3723 return self._parse_csv(self._parse_drop_column) +3724 +3725 def _parse_alter_table_rename(self) -> exp.Expression: +3726 self._match_text_seq("TO") +3727 return self.expression(exp.RenameTable, this=self._parse_table(schema=True)) 3728 -3729 self._match(TokenType.ON) -3730 on = self._parse_conjunction() -3731 -3732 whens = [] -3733 while self._match(TokenType.WHEN): -3734 this = self._parse_conjunction() -3735 self._match(TokenType.THEN) -3736 -3737 if self._match(TokenType.INSERT): -3738 _this = self._parse_star() -3739 if _this: -3740 then = self.expression(exp.Insert, this=_this) -3741 else: -3742 then = self.expression( -3743 exp.Insert, -3744 this=self._parse_value(), -3745 expression=self._match(TokenType.VALUES) and self._parse_value(), -3746 ) -3747 elif self._match(TokenType.UPDATE): -3748 expressions = self._parse_star() -3749 if expressions: -3750 then = self.expression(exp.Update, expressions=expressions) -3751 else: -3752 then = self.expression( -3753 exp.Update, -3754 expressions=self._match(TokenType.SET) -3755 and self._parse_csv(self._parse_equality), -3756 ) -3757 elif self._match(TokenType.DELETE): -3758 then = self.expression(exp.Var, this=self._prev.text) -3759 -3760 whens.append(self.expression(exp.When, this=this, then=then)) -3761 -3762 return self.expression( -3763 exp.Merge, -3764 this=target, -3765 using=using, -3766 on=on, -3767 expressions=whens, -3768 ) -3769 -3770 def _parse_set(self) -> exp.Expression: -3771 return self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item)) -3772 -3773 def _parse_as_command(self, start: Token) -> exp.Command: -3774 while self._curr: -3775 self._advance() -3776 return exp.Command(this=self._find_sql(start, self._prev)) -3777 -3778 def _find_parser( -3779 self, parsers: t.Dict[str, t.Callable], trie: t.Dict -3780 ) -> t.Optional[t.Callable]: -3781 index = self._index -3782 this = [] -3783 while True: -3784 # The current token might be multiple words -3785 curr = self._curr.text.upper() -3786 key = curr.split(" ") -3787 this.append(curr) -3788 self._advance() -3789 result, trie = in_trie(trie, key) -3790 if result == 0: -3791 break -3792 if result == 2: -3793 subparser = parsers[" ".join(this)] -3794 return subparser -3795 self._retreat(index) -3796 return None -3797 -3798 def _match(self, token_type, advance=True): -3799 if not self._curr: -3800 return None -3801 -3802 if self._curr.token_type == token_type: -3803 if advance: -3804 self._advance() -3805 return True -3806 -3807 return None +3729 def _parse_alter(self) -> t.Optional[exp.Expression]: +3730 if not self._match(TokenType.TABLE): +3731 return self._parse_as_command(self._prev) +3732 +3733 exists = self._parse_exists() +3734 this = self._parse_table(schema=True) +3735 +3736 if not self._curr: +3737 return None +3738 +3739 parser = self.ALTER_PARSERS.get(self._curr.text.upper()) +3740 actions = ensure_list(self._advance() or parser(self)) if parser else [] # type: ignore +3741 +3742 return self.expression(exp.AlterTable, this=this, exists=exists, actions=actions) +3743 +3744 def _parse_show(self) -> t.Optional[exp.Expression]: +3745 parser = self._find_parser(self.SHOW_PARSERS, self._show_trie) # type: ignore +3746 if parser: +3747 return parser(self) +3748 self._advance() +3749 return self.expression(exp.Show, this=self._prev.text.upper()) +3750 +3751 def _default_parse_set_item(self) -> exp.Expression: +3752 return self.expression( +3753 exp.SetItem, +3754 this=self._parse_statement(), +3755 ) +3756 +3757 def _parse_set_item(self) -> t.Optional[exp.Expression]: +3758 parser = self._find_parser(self.SET_PARSERS, self._set_trie) # type: ignore +3759 return parser(self) if parser else self._default_parse_set_item() +3760 +3761 def _parse_merge(self) -> exp.Expression: +3762 self._match(TokenType.INTO) +3763 target = self._parse_table() +3764 +3765 self._match(TokenType.USING) +3766 using = self._parse_table() +3767 +3768 self._match(TokenType.ON) +3769 on = self._parse_conjunction() +3770 +3771 whens = [] +3772 while self._match(TokenType.WHEN): +3773 this = self._parse_conjunction() +3774 self._match(TokenType.THEN) +3775 +3776 if self._match(TokenType.INSERT): +3777 _this = self._parse_star() +3778 if _this: +3779 then = self.expression(exp.Insert, this=_this) +3780 else: +3781 then = self.expression( +3782 exp.Insert, +3783 this=self._parse_value(), +3784 expression=self._match(TokenType.VALUES) and self._parse_value(), +3785 ) +3786 elif self._match(TokenType.UPDATE): +3787 expressions = self._parse_star() +3788 if expressions: +3789 then = self.expression(exp.Update, expressions=expressions) +3790 else: +3791 then = self.expression( +3792 exp.Update, +3793 expressions=self._match(TokenType.SET) +3794 and self._parse_csv(self._parse_equality), +3795 ) +3796 elif self._match(TokenType.DELETE): +3797 then = self.expression(exp.Var, this=self._prev.text) +3798 +3799 whens.append(self.expression(exp.When, this=this, then=then)) +3800 +3801 return self.expression( +3802 exp.Merge, +3803 this=target, +3804 using=using, +3805 on=on, +3806 expressions=whens, +3807 ) 3808 -3809 def _match_set(self, types, advance=True): -3810 if not self._curr: -3811 return None -3812 -3813 if self._curr.token_type in types: -3814 if advance: -3815 self._advance() -3816 return True -3817 -3818 return None -3819 -3820 def _match_pair(self, token_type_a, token_type_b, advance=True): -3821 if not self._curr or not self._next: -3822 return None -3823 -3824 if self._curr.token_type == token_type_a and self._next.token_type == token_type_b: -3825 if advance: -3826 self._advance(2) -3827 return True -3828 -3829 return None -3830 -3831 def _match_l_paren(self, expression=None): -3832 if not self._match(TokenType.L_PAREN): -3833 self.raise_error("Expecting (") -3834 if expression and self._prev_comments: -3835 expression.comments = self._prev_comments -3836 -3837 def _match_r_paren(self, expression=None): -3838 if not self._match(TokenType.R_PAREN): -3839 self.raise_error("Expecting )") -3840 if expression and self._prev_comments: -3841 expression.comments = self._prev_comments +3809 def _parse_set(self) -> exp.Expression: +3810 return self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item)) +3811 +3812 def _parse_as_command(self, start: Token) -> exp.Command: +3813 while self._curr: +3814 self._advance() +3815 text = self._find_sql(start, self._prev) +3816 size = len(start.text) +3817 return exp.Command(this=text[:size], expression=text[size:]) +3818 +3819 def _find_parser( +3820 self, parsers: t.Dict[str, t.Callable], trie: t.Dict +3821 ) -> t.Optional[t.Callable]: +3822 index = self._index +3823 this = [] +3824 while True: +3825 # The current token might be multiple words +3826 curr = self._curr.text.upper() +3827 key = curr.split(" ") +3828 this.append(curr) +3829 self._advance() +3830 result, trie = in_trie(trie, key) +3831 if result == 0: +3832 break +3833 if result == 2: +3834 subparser = parsers[" ".join(this)] +3835 return subparser +3836 self._retreat(index) +3837 return None +3838 +3839 def _match(self, token_type, advance=True): +3840 if not self._curr: +3841 return None 3842 -3843 def _match_texts(self, texts, advance=True): -3844 if self._curr and self._curr.text.upper() in texts: -3845 if advance: -3846 self._advance() -3847 return True -3848 return False +3843 if self._curr.token_type == token_type: +3844 if advance: +3845 self._advance() +3846 return True +3847 +3848 return None 3849 -3850 def _match_text_seq(self, *texts, advance=True): -3851 index = self._index -3852 for text in texts: -3853 if self._curr and self._curr.text.upper() == text: -3854 self._advance() -3855 else: -3856 self._retreat(index) -3857 return False +3850 def _match_set(self, types, advance=True): +3851 if not self._curr: +3852 return None +3853 +3854 if self._curr.token_type in types: +3855 if advance: +3856 self._advance() +3857 return True 3858 -3859 if not advance: -3860 self._retreat(index) -3861 -3862 return True -3863 -3864 def _replace_columns_with_dots(self, this): -3865 if isinstance(this, exp.Dot): -3866 exp.replace_children(this, self._replace_columns_with_dots) -3867 elif isinstance(this, exp.Column): -3868 exp.replace_children(this, self._replace_columns_with_dots) -3869 table = this.args.get("table") -3870 this = ( -3871 self.expression(exp.Dot, this=table, expression=this.this) -3872 if table -3873 else self.expression(exp.Var, this=this.name) -3874 ) -3875 elif isinstance(this, exp.Identifier): -3876 this = self.expression(exp.Var, this=this.name) -3877 return this -3878 -3879 def _replace_lambda(self, node, lambda_variables): -3880 if isinstance(node, exp.Column): -3881 if node.name in lambda_variables: -3882 return node.this -3883 return node +3859 return None +3860 +3861 def _match_pair(self, token_type_a, token_type_b, advance=True): +3862 if not self._curr or not self._next: +3863 return None +3864 +3865 if self._curr.token_type == token_type_a and self._next.token_type == token_type_b: +3866 if advance: +3867 self._advance(2) +3868 return True +3869 +3870 return None +3871 +3872 def _match_l_paren(self, expression=None): +3873 if not self._match(TokenType.L_PAREN): +3874 self.raise_error("Expecting (") +3875 if expression and self._prev_comments: +3876 expression.comments = self._prev_comments +3877 +3878 def _match_r_paren(self, expression=None): +3879 if not self._match(TokenType.R_PAREN): +3880 self.raise_error("Expecting )") +3881 if expression and self._prev_comments: +3882 expression.comments = self._prev_comments +3883 +3884 def _match_texts(self, texts, advance=True): +3885 if self._curr and self._curr.text.upper() in texts: +3886 if advance: +3887 self._advance() +3888 return True +3889 return False +3890 +3891 def _match_text_seq(self, *texts, advance=True): +3892 index = self._index +3893 for text in texts: +3894 if self._curr and self._curr.text.upper() == text: +3895 self._advance() +3896 else: +3897 self._retreat(index) +3898 return False +3899 +3900 if not advance: +3901 self._retreat(index) +3902 +3903 return True +3904 +3905 def _replace_columns_with_dots(self, this): +3906 if isinstance(this, exp.Dot): +3907 exp.replace_children(this, self._replace_columns_with_dots) +3908 elif isinstance(this, exp.Column): +3909 exp.replace_children(this, self._replace_columns_with_dots) +3910 table = this.args.get("table") +3911 this = ( +3912 self.expression(exp.Dot, this=table, expression=this.this) +3913 if table +3914 else self.expression(exp.Var, this=this.name) +3915 ) +3916 elif isinstance(this, exp.Identifier): +3917 this = self.expression(exp.Var, this=this.name) +3918 return this +3919 +3920 def _replace_lambda(self, node, lambda_variables): +3921 if isinstance(node, exp.Column): +3922 if node.name in lambda_variables: +3923 return node.this +3924 return node @@ -7889,24 +7971,24 @@ Default: "nulls_are_small" -
    713    def __init__(
    -714        self,
    -715        error_level: t.Optional[ErrorLevel] = None,
    -716        error_message_context: int = 100,
    -717        index_offset: int = 0,
    -718        unnest_column_only: bool = False,
    -719        alias_post_tablesample: bool = False,
    -720        max_errors: int = 3,
    -721        null_ordering: t.Optional[str] = None,
    -722    ):
    -723        self.error_level = error_level or ErrorLevel.IMMEDIATE
    -724        self.error_message_context = error_message_context
    -725        self.index_offset = index_offset
    -726        self.unnest_column_only = unnest_column_only
    -727        self.alias_post_tablesample = alias_post_tablesample
    -728        self.max_errors = max_errors
    -729        self.null_ordering = null_ordering
    -730        self.reset()
    +            
    725    def __init__(
    +726        self,
    +727        error_level: t.Optional[ErrorLevel] = None,
    +728        error_message_context: int = 100,
    +729        index_offset: int = 0,
    +730        unnest_column_only: bool = False,
    +731        alias_post_tablesample: bool = False,
    +732        max_errors: int = 3,
    +733        null_ordering: t.Optional[str] = None,
    +734    ):
    +735        self.error_level = error_level or ErrorLevel.IMMEDIATE
    +736        self.error_message_context = error_message_context
    +737        self.index_offset = index_offset
    +738        self.unnest_column_only = unnest_column_only
    +739        self.alias_post_tablesample = alias_post_tablesample
    +740        self.max_errors = max_errors
    +741        self.null_ordering = null_ordering
    +742        self.reset()
     
    @@ -7924,15 +8006,15 @@ Default: "nulls_are_small"
    -
    732    def reset(self):
    -733        self.sql = ""
    -734        self.errors = []
    -735        self._tokens = []
    -736        self._index = 0
    -737        self._curr = None
    -738        self._next = None
    -739        self._prev = None
    -740        self._prev_comments = None
    +            
    744    def reset(self):
    +745        self.sql = ""
    +746        self.errors = []
    +747        self._tokens = []
    +748        self._index = 0
    +749        self._curr = None
    +750        self._next = None
    +751        self._prev = None
    +752        self._prev_comments = None
     
    @@ -7950,23 +8032,23 @@ Default: "nulls_are_small"
    -
    742    def parse(
    -743        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
    -744    ) -> t.List[t.Optional[exp.Expression]]:
    -745        """
    -746        Parses a list of tokens and returns a list of syntax trees, one tree
    -747        per parsed SQL statement.
    -748
    -749        Args:
    -750            raw_tokens: the list of tokens.
    -751            sql: the original SQL string, used to produce helpful debug messages.
    -752
    -753        Returns:
    -754            The list of syntax trees.
    -755        """
    -756        return self._parse(
    -757            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
    -758        )
    +            
    754    def parse(
    +755        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
    +756    ) -> t.List[t.Optional[exp.Expression]]:
    +757        """
    +758        Parses a list of tokens and returns a list of syntax trees, one tree
    +759        per parsed SQL statement.
    +760
    +761        Args:
    +762            raw_tokens: the list of tokens.
    +763            sql: the original SQL string, used to produce helpful debug messages.
    +764
    +765        Returns:
    +766            The list of syntax trees.
    +767        """
    +768        return self._parse(
    +769            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
    +770        )
     
    @@ -8000,39 +8082,39 @@ per parsed SQL statement.

    -
    760    def parse_into(
    -761        self,
    -762        expression_types: exp.IntoType,
    -763        raw_tokens: t.List[Token],
    -764        sql: t.Optional[str] = None,
    -765    ) -> t.List[t.Optional[exp.Expression]]:
    -766        """
    -767        Parses a list of tokens into a given Expression type. If a collection of Expression
    -768        types is given instead, this method will try to parse the token list into each one
    -769        of them, stopping at the first for which the parsing succeeds.
    -770
    -771        Args:
    -772            expression_types: the expression type(s) to try and parse the token list into.
    -773            raw_tokens: the list of tokens.
    -774            sql: the original SQL string, used to produce helpful debug messages.
    -775
    -776        Returns:
    -777            The target Expression.
    -778        """
    -779        errors = []
    -780        for expression_type in ensure_collection(expression_types):
    -781            parser = self.EXPRESSION_PARSERS.get(expression_type)
    -782            if not parser:
    -783                raise TypeError(f"No parser registered for {expression_type}")
    -784            try:
    -785                return self._parse(parser, raw_tokens, sql)
    -786            except ParseError as e:
    -787                e.errors[0]["into_expression"] = expression_type
    -788                errors.append(e)
    -789        raise ParseError(
    -790            f"Failed to parse into {expression_types}",
    -791            errors=merge_errors(errors),
    -792        ) from errors[-1]
    +            
    772    def parse_into(
    +773        self,
    +774        expression_types: exp.IntoType,
    +775        raw_tokens: t.List[Token],
    +776        sql: t.Optional[str] = None,
    +777    ) -> t.List[t.Optional[exp.Expression]]:
    +778        """
    +779        Parses a list of tokens into a given Expression type. If a collection of Expression
    +780        types is given instead, this method will try to parse the token list into each one
    +781        of them, stopping at the first for which the parsing succeeds.
    +782
    +783        Args:
    +784            expression_types: the expression type(s) to try and parse the token list into.
    +785            raw_tokens: the list of tokens.
    +786            sql: the original SQL string, used to produce helpful debug messages.
    +787
    +788        Returns:
    +789            The target Expression.
    +790        """
    +791        errors = []
    +792        for expression_type in ensure_collection(expression_types):
    +793            parser = self.EXPRESSION_PARSERS.get(expression_type)
    +794            if not parser:
    +795                raise TypeError(f"No parser registered for {expression_type}")
    +796            try:
    +797                return self._parse(parser, raw_tokens, sql)
    +798            except ParseError as e:
    +799                e.errors[0]["into_expression"] = expression_type
    +800                errors.append(e)
    +801        raise ParseError(
    +802            f"Failed to parse into {expression_types}",
    +803            errors=merge_errors(errors),
    +804        ) from errors[-1]
     
    @@ -8068,18 +8150,18 @@ of them, stopping at the first for which the parsing succeeds.

    -
    828    def check_errors(self) -> None:
    -829        """
    -830        Logs or raises any found errors, depending on the chosen error level setting.
    -831        """
    -832        if self.error_level == ErrorLevel.WARN:
    -833            for error in self.errors:
    -834                logger.error(str(error))
    -835        elif self.error_level == ErrorLevel.RAISE and self.errors:
    -836            raise ParseError(
    -837                concat_messages(self.errors, self.max_errors),
    -838                errors=merge_errors(self.errors),
    -839            )
    +            
    840    def check_errors(self) -> None:
    +841        """
    +842        Logs or raises any found errors, depending on the chosen error level setting.
    +843        """
    +844        if self.error_level == ErrorLevel.WARN:
    +845            for error in self.errors:
    +846                logger.error(str(error))
    +847        elif self.error_level == ErrorLevel.RAISE and self.errors:
    +848            raise ParseError(
    +849                concat_messages(self.errors, self.max_errors),
    +850                errors=merge_errors(self.errors),
    +851            )
     
    @@ -8099,33 +8181,33 @@ of them, stopping at the first for which the parsing succeeds.

    -
    841    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
    -842        """
    -843        Appends an error in the list of recorded errors or raises it, depending on the chosen
    -844        error level setting.
    -845        """
    -846        token = token or self._curr or self._prev or Token.string("")
    -847        start = self._find_token(token)
    -848        end = start + len(token.text)
    -849        start_context = self.sql[max(start - self.error_message_context, 0) : start]
    -850        highlight = self.sql[start:end]
    -851        end_context = self.sql[end : end + self.error_message_context]
    -852
    -853        error = ParseError.new(
    -854            f"{message}. Line {token.line}, Col: {token.col}.\n"
    -855            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
    -856            description=message,
    -857            line=token.line,
    -858            col=token.col,
    -859            start_context=start_context,
    -860            highlight=highlight,
    -861            end_context=end_context,
    -862        )
    -863
    -864        if self.error_level == ErrorLevel.IMMEDIATE:
    -865            raise error
    -866
    -867        self.errors.append(error)
    +            
    853    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
    +854        """
    +855        Appends an error in the list of recorded errors or raises it, depending on the chosen
    +856        error level setting.
    +857        """
    +858        token = token or self._curr or self._prev or Token.string("")
    +859        start = self._find_token(token)
    +860        end = start + len(token.text)
    +861        start_context = self.sql[max(start - self.error_message_context, 0) : start]
    +862        highlight = self.sql[start:end]
    +863        end_context = self.sql[end : end + self.error_message_context]
    +864
    +865        error = ParseError.new(
    +866            f"{message}. Line {token.line}, Col: {token.col}.\n"
    +867            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
    +868            description=message,
    +869            line=token.line,
    +870            col=token.col,
    +871            start_context=start_context,
    +872            highlight=highlight,
    +873            end_context=end_context,
    +874        )
    +875
    +876        if self.error_level == ErrorLevel.IMMEDIATE:
    +877            raise error
    +878
    +879        self.errors.append(error)
     
    @@ -8146,28 +8228,28 @@ error level setting.

    -
    869    def expression(
    -870        self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs
    -871    ) -> exp.Expression:
    -872        """
    -873        Creates a new, validated Expression.
    -874
    -875        Args:
    -876            exp_class: the expression class to instantiate.
    -877            comments: an optional list of comments to attach to the expression.
    -878            kwargs: the arguments to set for the expression along with their respective values.
    -879
    -880        Returns:
    -881            The target expression.
    -882        """
    -883        instance = exp_class(**kwargs)
    -884        if self._prev_comments:
    -885            instance.comments = self._prev_comments
    -886            self._prev_comments = None
    -887        if comments:
    -888            instance.comments = comments
    -889        self.validate_expression(instance)
    -890        return instance
    +            
    881    def expression(
    +882        self, exp_class: t.Type[exp.Expression], comments: t.Optional[t.List[str]] = None, **kwargs
    +883    ) -> exp.Expression:
    +884        """
    +885        Creates a new, validated Expression.
    +886
    +887        Args:
    +888            exp_class: the expression class to instantiate.
    +889            comments: an optional list of comments to attach to the expression.
    +890            kwargs: the arguments to set for the expression along with their respective values.
    +891
    +892        Returns:
    +893            The target expression.
    +894        """
    +895        instance = exp_class(**kwargs)
    +896        if self._prev_comments:
    +897            instance.comments = self._prev_comments
    +898            self._prev_comments = None
    +899        if comments:
    +900            instance.comments = comments
    +901        self.validate_expression(instance)
    +902        return instance
     
    @@ -8201,22 +8283,22 @@ error level setting.

    -
    892    def validate_expression(
    -893        self, expression: exp.Expression, args: t.Optional[t.List] = None
    -894    ) -> None:
    -895        """
    -896        Validates an already instantiated expression, making sure that all its mandatory arguments
    -897        are set.
    -898
    -899        Args:
    -900            expression: the expression to validate.
    -901            args: an optional list of items that was used to instantiate the expression, if it's a Func.
    -902        """
    -903        if self.error_level == ErrorLevel.IGNORE:
    -904            return
    -905
    -906        for error_message in expression.error_messages(args):
    -907            self.raise_error(error_message)
    +            
    904    def validate_expression(
    +905        self, expression: exp.Expression, args: t.Optional[t.List] = None
    +906    ) -> None:
    +907        """
    +908        Validates an already instantiated expression, making sure that all its mandatory arguments
    +909        are set.
    +910
    +911        Args:
    +912            expression: the expression to validate.
    +913            args: an optional list of items that was used to instantiate the expression, if it's a Func.
    +914        """
    +915        if self.error_level == ErrorLevel.IGNORE:
    +916            return
    +917
    +918        for error_message in expression.error_messages(args):
    +919            self.raise_error(error_message)
     
    diff --git a/docs/sqlglot/tokens.html b/docs/sqlglot/tokens.html index 101b3bc..6427485 100644 --- a/docs/sqlglot/tokens.html +++ b/docs/sqlglot/tokens.html @@ -180,6 +180,9 @@
  • IDENTIFIER
  • +
  • + DATABASE +
  • COLUMN
  • @@ -597,6 +600,9 @@
  • JOIN
  • +
  • + JOIN_MARKER +
  • LANGUAGE
  • @@ -693,6 +699,9 @@
  • OVER
  • +
  • + OVERLAPS +
  • OVERWRITE
  • @@ -1006,643 +1015,643 @@
    60 STRING = auto() 61 NUMBER = auto() 62 IDENTIFIER = auto() - 63 COLUMN = auto() - 64 COLUMN_DEF = auto() - 65 SCHEMA = auto() - 66 TABLE = auto() - 67 VAR = auto() - 68 BIT_STRING = auto() - 69 HEX_STRING = auto() - 70 BYTE_STRING = auto() - 71 - 72 # types - 73 BOOLEAN = auto() - 74 TINYINT = auto() - 75 SMALLINT = auto() - 76 INT = auto() - 77 BIGINT = auto() - 78 FLOAT = auto() - 79 DOUBLE = auto() - 80 DECIMAL = auto() - 81 CHAR = auto() - 82 NCHAR = auto() - 83 VARCHAR = auto() - 84 NVARCHAR = auto() - 85 TEXT = auto() - 86 MEDIUMTEXT = auto() - 87 LONGTEXT = auto() - 88 MEDIUMBLOB = auto() - 89 LONGBLOB = auto() - 90 BINARY = auto() - 91 VARBINARY = auto() - 92 JSON = auto() - 93 JSONB = auto() - 94 TIME = auto() - 95 TIMESTAMP = auto() - 96 TIMESTAMPTZ = auto() - 97 TIMESTAMPLTZ = auto() - 98 DATETIME = auto() - 99 DATE = auto() - 100 UUID = auto() - 101 GEOGRAPHY = auto() - 102 NULLABLE = auto() - 103 GEOMETRY = auto() - 104 HLLSKETCH = auto() - 105 HSTORE = auto() - 106 SUPER = auto() - 107 SERIAL = auto() - 108 SMALLSERIAL = auto() - 109 BIGSERIAL = auto() - 110 XML = auto() - 111 UNIQUEIDENTIFIER = auto() - 112 MONEY = auto() - 113 SMALLMONEY = auto() - 114 ROWVERSION = auto() - 115 IMAGE = auto() - 116 VARIANT = auto() - 117 OBJECT = auto() - 118 INET = auto() - 119 - 120 # keywords - 121 ALIAS = auto() - 122 ALTER = auto() - 123 ALWAYS = auto() - 124 ALL = auto() - 125 ANTI = auto() - 126 ANY = auto() - 127 APPLY = auto() - 128 ARRAY = auto() - 129 ASC = auto() - 130 ASOF = auto() - 131 AT_TIME_ZONE = auto() - 132 AUTO_INCREMENT = auto() - 133 BEGIN = auto() - 134 BETWEEN = auto() - 135 BOTH = auto() - 136 BUCKET = auto() - 137 BY_DEFAULT = auto() - 138 CACHE = auto() - 139 CASCADE = auto() - 140 CASE = auto() - 141 CHARACTER_SET = auto() - 142 CLUSTER_BY = auto() - 143 COLLATE = auto() - 144 COMMAND = auto() - 145 COMMENT = auto() - 146 COMMIT = auto() - 147 COMPOUND = auto() - 148 CONSTRAINT = auto() - 149 CREATE = auto() - 150 CROSS = auto() - 151 CUBE = auto() - 152 CURRENT_DATE = auto() - 153 CURRENT_DATETIME = auto() - 154 CURRENT_ROW = auto() - 155 CURRENT_TIME = auto() - 156 CURRENT_TIMESTAMP = auto() - 157 DEFAULT = auto() - 158 DELETE = auto() - 159 DESC = auto() - 160 DESCRIBE = auto() - 161 DISTINCT = auto() - 162 DISTINCT_FROM = auto() - 163 DISTRIBUTE_BY = auto() - 164 DIV = auto() - 165 DROP = auto() - 166 ELSE = auto() - 167 END = auto() - 168 ESCAPE = auto() - 169 EXCEPT = auto() - 170 EXECUTE = auto() - 171 EXISTS = auto() - 172 FALSE = auto() - 173 FETCH = auto() - 174 FILTER = auto() - 175 FINAL = auto() - 176 FIRST = auto() - 177 FOLLOWING = auto() - 178 FOR = auto() - 179 FOREIGN_KEY = auto() - 180 FORMAT = auto() - 181 FROM = auto() - 182 FULL = auto() - 183 FUNCTION = auto() - 184 GLOB = auto() - 185 GLOBAL = auto() - 186 GROUP_BY = auto() - 187 GROUPING_SETS = auto() - 188 HAVING = auto() - 189 HINT = auto() - 190 IF = auto() - 191 IGNORE_NULLS = auto() - 192 ILIKE = auto() - 193 ILIKE_ANY = auto() - 194 IN = auto() - 195 INDEX = auto() - 196 INNER = auto() - 197 INSERT = auto() - 198 INTERSECT = auto() - 199 INTERVAL = auto() - 200 INTO = auto() - 201 INTRODUCER = auto() - 202 IRLIKE = auto() - 203 IS = auto() - 204 ISNULL = auto() - 205 JOIN = auto() - 206 LANGUAGE = auto() - 207 LATERAL = auto() - 208 LAZY = auto() - 209 LEADING = auto() - 210 LEFT = auto() - 211 LIKE = auto() - 212 LIKE_ANY = auto() - 213 LIMIT = auto() - 214 LOAD_DATA = auto() - 215 LOCAL = auto() - 216 MAP = auto() - 217 MATCH_RECOGNIZE = auto() - 218 MATERIALIZED = auto() - 219 MERGE = auto() - 220 MOD = auto() - 221 NATURAL = auto() - 222 NEXT = auto() - 223 NO_ACTION = auto() - 224 NOTNULL = auto() - 225 NULL = auto() - 226 NULLS_FIRST = auto() - 227 NULLS_LAST = auto() - 228 OFFSET = auto() - 229 ON = auto() - 230 ONLY = auto() - 231 OPTIONS = auto() - 232 ORDER_BY = auto() - 233 ORDERED = auto() - 234 ORDINALITY = auto() - 235 OUTER = auto() - 236 OUT_OF = auto() - 237 OVER = auto() - 238 OVERWRITE = auto() - 239 PARTITION = auto() - 240 PARTITION_BY = auto() - 241 PERCENT = auto() - 242 PIVOT = auto() - 243 PLACEHOLDER = auto() - 244 PRECEDING = auto() - 245 PRIMARY_KEY = auto() - 246 PROCEDURE = auto() - 247 PROPERTIES = auto() - 248 PSEUDO_TYPE = auto() - 249 QUALIFY = auto() - 250 QUOTE = auto() - 251 RANGE = auto() - 252 RECURSIVE = auto() - 253 REPLACE = auto() - 254 RESPECT_NULLS = auto() - 255 RETURNING = auto() - 256 REFERENCES = auto() - 257 RIGHT = auto() - 258 RLIKE = auto() - 259 ROLLBACK = auto() - 260 ROLLUP = auto() - 261 ROW = auto() - 262 ROWS = auto() - 263 SEED = auto() - 264 SELECT = auto() - 265 SEMI = auto() - 266 SEPARATOR = auto() - 267 SERDE_PROPERTIES = auto() - 268 SET = auto() - 269 SHOW = auto() - 270 SIMILAR_TO = auto() - 271 SOME = auto() - 272 SORTKEY = auto() - 273 SORT_BY = auto() - 274 STRUCT = auto() - 275 TABLE_SAMPLE = auto() - 276 TEMPORARY = auto() - 277 TOP = auto() - 278 THEN = auto() - 279 TRAILING = auto() - 280 TRUE = auto() - 281 UNBOUNDED = auto() - 282 UNCACHE = auto() - 283 UNION = auto() - 284 UNLOGGED = auto() - 285 UNNEST = auto() - 286 UNPIVOT = auto() - 287 UPDATE = auto() - 288 USE = auto() - 289 USING = auto() - 290 VALUES = auto() - 291 VIEW = auto() - 292 VOLATILE = auto() - 293 WHEN = auto() - 294 WHERE = auto() - 295 WINDOW = auto() - 296 WITH = auto() - 297 WITH_TIME_ZONE = auto() - 298 WITH_LOCAL_TIME_ZONE = auto() - 299 WITHIN_GROUP = auto() - 300 WITHOUT_TIME_ZONE = auto() - 301 UNIQUE = auto() - 302 - 303 - 304class Token: - 305 __slots__ = ("token_type", "text", "line", "col", "comments") + 63 DATABASE = auto() + 64 COLUMN = auto() + 65 COLUMN_DEF = auto() + 66 SCHEMA = auto() + 67 TABLE = auto() + 68 VAR = auto() + 69 BIT_STRING = auto() + 70 HEX_STRING = auto() + 71 BYTE_STRING = auto() + 72 + 73 # types + 74 BOOLEAN = auto() + 75 TINYINT = auto() + 76 SMALLINT = auto() + 77 INT = auto() + 78 BIGINT = auto() + 79 FLOAT = auto() + 80 DOUBLE = auto() + 81 DECIMAL = auto() + 82 CHAR = auto() + 83 NCHAR = auto() + 84 VARCHAR = auto() + 85 NVARCHAR = auto() + 86 TEXT = auto() + 87 MEDIUMTEXT = auto() + 88 LONGTEXT = auto() + 89 MEDIUMBLOB = auto() + 90 LONGBLOB = auto() + 91 BINARY = auto() + 92 VARBINARY = auto() + 93 JSON = auto() + 94 JSONB = auto() + 95 TIME = auto() + 96 TIMESTAMP = auto() + 97 TIMESTAMPTZ = auto() + 98 TIMESTAMPLTZ = auto() + 99 DATETIME = auto() + 100 DATE = auto() + 101 UUID = auto() + 102 GEOGRAPHY = auto() + 103 NULLABLE = auto() + 104 GEOMETRY = auto() + 105 HLLSKETCH = auto() + 106 HSTORE = auto() + 107 SUPER = auto() + 108 SERIAL = auto() + 109 SMALLSERIAL = auto() + 110 BIGSERIAL = auto() + 111 XML = auto() + 112 UNIQUEIDENTIFIER = auto() + 113 MONEY = auto() + 114 SMALLMONEY = auto() + 115 ROWVERSION = auto() + 116 IMAGE = auto() + 117 VARIANT = auto() + 118 OBJECT = auto() + 119 INET = auto() + 120 + 121 # keywords + 122 ALIAS = auto() + 123 ALTER = auto() + 124 ALWAYS = auto() + 125 ALL = auto() + 126 ANTI = auto() + 127 ANY = auto() + 128 APPLY = auto() + 129 ARRAY = auto() + 130 ASC = auto() + 131 ASOF = auto() + 132 AT_TIME_ZONE = auto() + 133 AUTO_INCREMENT = auto() + 134 BEGIN = auto() + 135 BETWEEN = auto() + 136 BOTH = auto() + 137 BUCKET = auto() + 138 BY_DEFAULT = auto() + 139 CACHE = auto() + 140 CASCADE = auto() + 141 CASE = auto() + 142 CHARACTER_SET = auto() + 143 CLUSTER_BY = auto() + 144 COLLATE = auto() + 145 COMMAND = auto() + 146 COMMENT = auto() + 147 COMMIT = auto() + 148 COMPOUND = auto() + 149 CONSTRAINT = auto() + 150 CREATE = auto() + 151 CROSS = auto() + 152 CUBE = auto() + 153 CURRENT_DATE = auto() + 154 CURRENT_DATETIME = auto() + 155 CURRENT_ROW = auto() + 156 CURRENT_TIME = auto() + 157 CURRENT_TIMESTAMP = auto() + 158 DEFAULT = auto() + 159 DELETE = auto() + 160 DESC = auto() + 161 DESCRIBE = auto() + 162 DISTINCT = auto() + 163 DISTINCT_FROM = auto() + 164 DISTRIBUTE_BY = auto() + 165 DIV = auto() + 166 DROP = auto() + 167 ELSE = auto() + 168 END = auto() + 169 ESCAPE = auto() + 170 EXCEPT = auto() + 171 EXECUTE = auto() + 172 EXISTS = auto() + 173 FALSE = auto() + 174 FETCH = auto() + 175 FILTER = auto() + 176 FINAL = auto() + 177 FIRST = auto() + 178 FOLLOWING = auto() + 179 FOR = auto() + 180 FOREIGN_KEY = auto() + 181 FORMAT = auto() + 182 FROM = auto() + 183 FULL = auto() + 184 FUNCTION = auto() + 185 GLOB = auto() + 186 GLOBAL = auto() + 187 GROUP_BY = auto() + 188 GROUPING_SETS = auto() + 189 HAVING = auto() + 190 HINT = auto() + 191 IF = auto() + 192 IGNORE_NULLS = auto() + 193 ILIKE = auto() + 194 ILIKE_ANY = auto() + 195 IN = auto() + 196 INDEX = auto() + 197 INNER = auto() + 198 INSERT = auto() + 199 INTERSECT = auto() + 200 INTERVAL = auto() + 201 INTO = auto() + 202 INTRODUCER = auto() + 203 IRLIKE = auto() + 204 IS = auto() + 205 ISNULL = auto() + 206 JOIN = auto() + 207 JOIN_MARKER = auto() + 208 LANGUAGE = auto() + 209 LATERAL = auto() + 210 LAZY = auto() + 211 LEADING = auto() + 212 LEFT = auto() + 213 LIKE = auto() + 214 LIKE_ANY = auto() + 215 LIMIT = auto() + 216 LOAD_DATA = auto() + 217 LOCAL = auto() + 218 MAP = auto() + 219 MATCH_RECOGNIZE = auto() + 220 MATERIALIZED = auto() + 221 MERGE = auto() + 222 MOD = auto() + 223 NATURAL = auto() + 224 NEXT = auto() + 225 NO_ACTION = auto() + 226 NOTNULL = auto() + 227 NULL = auto() + 228 NULLS_FIRST = auto() + 229 NULLS_LAST = auto() + 230 OFFSET = auto() + 231 ON = auto() + 232 ONLY = auto() + 233 OPTIONS = auto() + 234 ORDER_BY = auto() + 235 ORDERED = auto() + 236 ORDINALITY = auto() + 237 OUTER = auto() + 238 OUT_OF = auto() + 239 OVER = auto() + 240 OVERLAPS = auto() + 241 OVERWRITE = auto() + 242 PARTITION = auto() + 243 PARTITION_BY = auto() + 244 PERCENT = auto() + 245 PIVOT = auto() + 246 PLACEHOLDER = auto() + 247 PRECEDING = auto() + 248 PRIMARY_KEY = auto() + 249 PROCEDURE = auto() + 250 PROPERTIES = auto() + 251 PSEUDO_TYPE = auto() + 252 QUALIFY = auto() + 253 QUOTE = auto() + 254 RANGE = auto() + 255 RECURSIVE = auto() + 256 REPLACE = auto() + 257 RESPECT_NULLS = auto() + 258 RETURNING = auto() + 259 REFERENCES = auto() + 260 RIGHT = auto() + 261 RLIKE = auto() + 262 ROLLBACK = auto() + 263 ROLLUP = auto() + 264 ROW = auto() + 265 ROWS = auto() + 266 SEED = auto() + 267 SELECT = auto() + 268 SEMI = auto() + 269 SEPARATOR = auto() + 270 SERDE_PROPERTIES = auto() + 271 SET = auto() + 272 SHOW = auto() + 273 SIMILAR_TO = auto() + 274 SOME = auto() + 275 SORTKEY = auto() + 276 SORT_BY = auto() + 277 STRUCT = auto() + 278 TABLE_SAMPLE = auto() + 279 TEMPORARY = auto() + 280 TOP = auto() + 281 THEN = auto() + 282 TRAILING = auto() + 283 TRUE = auto() + 284 UNBOUNDED = auto() + 285 UNCACHE = auto() + 286 UNION = auto() + 287 UNLOGGED = auto() + 288 UNNEST = auto() + 289 UNPIVOT = auto() + 290 UPDATE = auto() + 291 USE = auto() + 292 USING = auto() + 293 VALUES = auto() + 294 VIEW = auto() + 295 VOLATILE = auto() + 296 WHEN = auto() + 297 WHERE = auto() + 298 WINDOW = auto() + 299 WITH = auto() + 300 WITH_TIME_ZONE = auto() + 301 WITH_LOCAL_TIME_ZONE = auto() + 302 WITHIN_GROUP = auto() + 303 WITHOUT_TIME_ZONE = auto() + 304 UNIQUE = auto() + 305 306 - 307 @classmethod - 308 def number(cls, number: int) -> Token: - 309 """Returns a NUMBER token with `number` as its text.""" - 310 return cls(TokenType.NUMBER, str(number)) - 311 - 312 @classmethod - 313 def string(cls, string: str) -> Token: - 314 """Returns a STRING token with `string` as its text.""" - 315 return cls(TokenType.STRING, string) - 316 - 317 @classmethod - 318 def identifier(cls, identifier: str) -> Token: - 319 """Returns an IDENTIFIER token with `identifier` as its text.""" - 320 return cls(TokenType.IDENTIFIER, identifier) - 321 - 322 @classmethod - 323 def var(cls, var: str) -> Token: - 324 """Returns an VAR token with `var` as its text.""" - 325 return cls(TokenType.VAR, var) - 326 - 327 def __init__( - 328 self, - 329 token_type: TokenType, - 330 text: str, - 331 line: int = 1, - 332 col: int = 1, - 333 comments: t.List[str] = [], - 334 ) -> None: - 335 self.token_type = token_type - 336 self.text = text - 337 self.line = line - 338 self.col = max(col - len(text), 1) - 339 self.comments = comments - 340 - 341 def __repr__(self) -> str: - 342 attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__) - 343 return f"<Token {attributes}>" - 344 - 345 - 346class _Tokenizer(type): - 347 def __new__(cls, clsname, bases, attrs): # type: ignore - 348 klass = super().__new__(cls, clsname, bases, attrs) - 349 - 350 klass._QUOTES = { - 351 f"{prefix}{s}": e - 352 for s, e in cls._delimeter_list_to_dict(klass.QUOTES).items() - 353 for prefix in (("",) if s[0].isalpha() else ("", "n", "N")) - 354 } - 355 klass._BIT_STRINGS = cls._delimeter_list_to_dict(klass.BIT_STRINGS) - 356 klass._HEX_STRINGS = cls._delimeter_list_to_dict(klass.HEX_STRINGS) - 357 klass._BYTE_STRINGS = cls._delimeter_list_to_dict(klass.BYTE_STRINGS) - 358 klass._IDENTIFIERS = cls._delimeter_list_to_dict(klass.IDENTIFIERS) - 359 klass._STRING_ESCAPES = set(klass.STRING_ESCAPES) - 360 klass._IDENTIFIER_ESCAPES = set(klass.IDENTIFIER_ESCAPES) - 361 klass._COMMENTS = dict( - 362 (comment, None) if isinstance(comment, str) else (comment[0], comment[1]) - 363 for comment in klass.COMMENTS - 364 ) - 365 - 366 klass.KEYWORD_TRIE = new_trie( - 367 key.upper() - 368 for key in { - 369 **klass.KEYWORDS, - 370 **{comment: TokenType.COMMENT for comment in klass._COMMENTS}, - 371 **{quote: TokenType.QUOTE for quote in klass._QUOTES}, - 372 **{bit_string: TokenType.BIT_STRING for bit_string in klass._BIT_STRINGS}, - 373 **{hex_string: TokenType.HEX_STRING for hex_string in klass._HEX_STRINGS}, - 374 **{byte_string: TokenType.BYTE_STRING for byte_string in klass._BYTE_STRINGS}, - 375 } - 376 if " " in key or any(single in key for single in klass.SINGLE_TOKENS) - 377 ) - 378 - 379 return klass - 380 - 381 @staticmethod - 382 def _delimeter_list_to_dict(list: t.List[str | t.Tuple[str, str]]) -> t.Dict[str, str]: - 383 return dict((item, item) if isinstance(item, str) else (item[0], item[1]) for item in list) - 384 - 385 - 386class Tokenizer(metaclass=_Tokenizer): - 387 SINGLE_TOKENS = { - 388 "(": TokenType.L_PAREN, - 389 ")": TokenType.R_PAREN, - 390 "[": TokenType.L_BRACKET, - 391 "]": TokenType.R_BRACKET, - 392 "{": TokenType.L_BRACE, - 393 "}": TokenType.R_BRACE, - 394 "&": TokenType.AMP, - 395 "^": TokenType.CARET, - 396 ":": TokenType.COLON, - 397 ",": TokenType.COMMA, - 398 ".": TokenType.DOT, - 399 "-": TokenType.DASH, - 400 "=": TokenType.EQ, - 401 ">": TokenType.GT, - 402 "<": TokenType.LT, - 403 "%": TokenType.MOD, - 404 "!": TokenType.NOT, - 405 "|": TokenType.PIPE, - 406 "+": TokenType.PLUS, - 407 ";": TokenType.SEMICOLON, - 408 "/": TokenType.SLASH, - 409 "\\": TokenType.BACKSLASH, - 410 "*": TokenType.STAR, - 411 "~": TokenType.TILDA, - 412 "?": TokenType.PLACEHOLDER, - 413 "@": TokenType.PARAMETER, - 414 # used for breaking a var like x'y' but nothing else - 415 # the token type doesn't matter - 416 "'": TokenType.QUOTE, - 417 "`": TokenType.IDENTIFIER, - 418 '"': TokenType.IDENTIFIER, - 419 "#": TokenType.HASH, - 420 } - 421 - 422 QUOTES: t.List[t.Tuple[str, str] | str] = ["'"] - 423 - 424 BIT_STRINGS: t.List[str | t.Tuple[str, str]] = [] - 425 - 426 HEX_STRINGS: t.List[str | t.Tuple[str, str]] = [] - 427 - 428 BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = [] - 429 - 430 IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"'] - 431 - 432 STRING_ESCAPES = ["'"] - 433 - 434 _STRING_ESCAPES: t.Set[str] = set() - 435 - 436 IDENTIFIER_ESCAPES = ['"'] - 437 - 438 _IDENTIFIER_ESCAPES: t.Set[str] = set() - 439 - 440 KEYWORDS = { - 441 **{ - 442 f"{key}{postfix}": TokenType.BLOCK_START - 443 for key in ("{%", "{#") - 444 for postfix in ("", "+", "-") - 445 }, - 446 **{ - 447 f"{prefix}{key}": TokenType.BLOCK_END - 448 for key in ("%}", "#}") - 449 for prefix in ("", "+", "-") - 450 }, - 451 "{{+": TokenType.BLOCK_START, - 452 "{{-": TokenType.BLOCK_START, - 453 "+}}": TokenType.BLOCK_END, - 454 "-}}": TokenType.BLOCK_END, - 455 "/*+": TokenType.HINT, - 456 "==": TokenType.EQ, - 457 "::": TokenType.DCOLON, - 458 "||": TokenType.DPIPE, - 459 ">=": TokenType.GTE, - 460 "<=": TokenType.LTE, - 461 "<>": TokenType.NEQ, - 462 "!=": TokenType.NEQ, - 463 "<=>": TokenType.NULLSAFE_EQ, - 464 "->": TokenType.ARROW, - 465 "->>": TokenType.DARROW, - 466 "=>": TokenType.FARROW, - 467 "#>": TokenType.HASH_ARROW, - 468 "#>>": TokenType.DHASH_ARROW, - 469 "<->": TokenType.LR_ARROW, - 470 "ALL": TokenType.ALL, - 471 "ALWAYS": TokenType.ALWAYS, - 472 "AND": TokenType.AND, - 473 "ANTI": TokenType.ANTI, - 474 "ANY": TokenType.ANY, - 475 "ASC": TokenType.ASC, - 476 "AS": TokenType.ALIAS, - 477 "AT TIME ZONE": TokenType.AT_TIME_ZONE, - 478 "AUTOINCREMENT": TokenType.AUTO_INCREMENT, - 479 "AUTO_INCREMENT": TokenType.AUTO_INCREMENT, - 480 "BEGIN": TokenType.BEGIN, - 481 "BETWEEN": TokenType.BETWEEN, - 482 "BOTH": TokenType.BOTH, - 483 "BUCKET": TokenType.BUCKET, - 484 "BY DEFAULT": TokenType.BY_DEFAULT, - 485 "CACHE": TokenType.CACHE, - 486 "UNCACHE": TokenType.UNCACHE, - 487 "CASE": TokenType.CASE, - 488 "CASCADE": TokenType.CASCADE, - 489 "CHARACTER SET": TokenType.CHARACTER_SET, - 490 "CLUSTER BY": TokenType.CLUSTER_BY, - 491 "COLLATE": TokenType.COLLATE, - 492 "COLUMN": TokenType.COLUMN, - 493 "COMMIT": TokenType.COMMIT, - 494 "COMPOUND": TokenType.COMPOUND, - 495 "CONSTRAINT": TokenType.CONSTRAINT, - 496 "CREATE": TokenType.CREATE, - 497 "CROSS": TokenType.CROSS, - 498 "CUBE": TokenType.CUBE, - 499 "CURRENT_DATE": TokenType.CURRENT_DATE, - 500 "CURRENT ROW": TokenType.CURRENT_ROW, - 501 "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP, - 502 "DEFAULT": TokenType.DEFAULT, - 503 "DELETE": TokenType.DELETE, - 504 "DESC": TokenType.DESC, - 505 "DESCRIBE": TokenType.DESCRIBE, - 506 "DISTINCT": TokenType.DISTINCT, - 507 "DISTINCT FROM": TokenType.DISTINCT_FROM, - 508 "DISTRIBUTE BY": TokenType.DISTRIBUTE_BY, - 509 "DIV": TokenType.DIV, - 510 "DROP": TokenType.DROP, - 511 "ELSE": TokenType.ELSE, - 512 "END": TokenType.END, - 513 "ESCAPE": TokenType.ESCAPE, - 514 "EXCEPT": TokenType.EXCEPT, - 515 "EXECUTE": TokenType.EXECUTE, - 516 "EXISTS": TokenType.EXISTS, - 517 "FALSE": TokenType.FALSE, - 518 "FETCH": TokenType.FETCH, - 519 "FILTER": TokenType.FILTER, - 520 "FIRST": TokenType.FIRST, - 521 "FULL": TokenType.FULL, - 522 "FUNCTION": TokenType.FUNCTION, - 523 "FOLLOWING": TokenType.FOLLOWING, - 524 "FOR": TokenType.FOR, - 525 "FOREIGN KEY": TokenType.FOREIGN_KEY, - 526 "FORMAT": TokenType.FORMAT, - 527 "FROM": TokenType.FROM, - 528 "GLOB": TokenType.GLOB, - 529 "GROUP BY": TokenType.GROUP_BY, - 530 "GROUPING SETS": TokenType.GROUPING_SETS, - 531 "HAVING": TokenType.HAVING, - 532 "IF": TokenType.IF, - 533 "ILIKE": TokenType.ILIKE, - 534 "IGNORE NULLS": TokenType.IGNORE_NULLS, - 535 "IN": TokenType.IN, - 536 "INDEX": TokenType.INDEX, - 537 "INET": TokenType.INET, - 538 "INNER": TokenType.INNER, - 539 "INSERT": TokenType.INSERT, - 540 "INTERVAL": TokenType.INTERVAL, - 541 "INTERSECT": TokenType.INTERSECT, - 542 "INTO": TokenType.INTO, - 543 "IS": TokenType.IS, - 544 "ISNULL": TokenType.ISNULL, - 545 "JOIN": TokenType.JOIN, - 546 "LATERAL": TokenType.LATERAL, - 547 "LAZY": TokenType.LAZY, - 548 "LEADING": TokenType.LEADING, - 549 "LEFT": TokenType.LEFT, - 550 "LIKE": TokenType.LIKE, - 551 "LIMIT": TokenType.LIMIT, - 552 "LOAD DATA": TokenType.LOAD_DATA, - 553 "LOCAL": TokenType.LOCAL, - 554 "MATERIALIZED": TokenType.MATERIALIZED, - 555 "MERGE": TokenType.MERGE, - 556 "NATURAL": TokenType.NATURAL, - 557 "NEXT": TokenType.NEXT, - 558 "NO ACTION": TokenType.NO_ACTION, - 559 "NOT": TokenType.NOT, - 560 "NOTNULL": TokenType.NOTNULL, - 561 "NULL": TokenType.NULL, - 562 "NULLS FIRST": TokenType.NULLS_FIRST, - 563 "NULLS LAST": TokenType.NULLS_LAST, - 564 "OBJECT": TokenType.OBJECT, - 565 "OFFSET": TokenType.OFFSET, - 566 "ON": TokenType.ON, - 567 "ONLY": TokenType.ONLY, - 568 "OPTIONS": TokenType.OPTIONS, - 569 "OR": TokenType.OR, - 570 "ORDER BY": TokenType.ORDER_BY, - 571 "ORDINALITY": TokenType.ORDINALITY, - 572 "OUTER": TokenType.OUTER, - 573 "OUT OF": TokenType.OUT_OF, - 574 "OVER": TokenType.OVER, - 575 "OVERWRITE": TokenType.OVERWRITE, - 576 "PARTITION": TokenType.PARTITION, - 577 "PARTITION BY": TokenType.PARTITION_BY, - 578 "PARTITIONED BY": TokenType.PARTITION_BY, - 579 "PARTITIONED_BY": TokenType.PARTITION_BY, - 580 "PERCENT": TokenType.PERCENT, - 581 "PIVOT": TokenType.PIVOT, - 582 "PRECEDING": TokenType.PRECEDING, - 583 "PRIMARY KEY": TokenType.PRIMARY_KEY, - 584 "PROCEDURE": TokenType.PROCEDURE, - 585 "QUALIFY": TokenType.QUALIFY, - 586 "RANGE": TokenType.RANGE, - 587 "RECURSIVE": TokenType.RECURSIVE, - 588 "REGEXP": TokenType.RLIKE, - 589 "REPLACE": TokenType.REPLACE, - 590 "RESPECT NULLS": TokenType.RESPECT_NULLS, - 591 "REFERENCES": TokenType.REFERENCES, - 592 "RIGHT": TokenType.RIGHT, - 593 "RLIKE": TokenType.RLIKE, - 594 "ROLLBACK": TokenType.ROLLBACK, - 595 "ROLLUP": TokenType.ROLLUP, - 596 "ROW": TokenType.ROW, - 597 "ROWS": TokenType.ROWS, - 598 "SCHEMA": TokenType.SCHEMA, - 599 "SEED": TokenType.SEED, - 600 "SELECT": TokenType.SELECT, - 601 "SEMI": TokenType.SEMI, - 602 "SET": TokenType.SET, - 603 "SHOW": TokenType.SHOW, - 604 "SIMILAR TO": TokenType.SIMILAR_TO, - 605 "SOME": TokenType.SOME, - 606 "SORTKEY": TokenType.SORTKEY, - 607 "SORT BY": TokenType.SORT_BY, - 608 "TABLE": TokenType.TABLE, - 609 "TABLESAMPLE": TokenType.TABLE_SAMPLE, - 610 "TEMP": TokenType.TEMPORARY, - 611 "TEMPORARY": TokenType.TEMPORARY, - 612 "THEN": TokenType.THEN, - 613 "TRUE": TokenType.TRUE, - 614 "TRAILING": TokenType.TRAILING, - 615 "UNBOUNDED": TokenType.UNBOUNDED, - 616 "UNION": TokenType.UNION, - 617 "UNLOGGED": TokenType.UNLOGGED, - 618 "UNNEST": TokenType.UNNEST, - 619 "UNPIVOT": TokenType.UNPIVOT, - 620 "UPDATE": TokenType.UPDATE, - 621 "USE": TokenType.USE, - 622 "USING": TokenType.USING, - 623 "VALUES": TokenType.VALUES, - 624 "VIEW": TokenType.VIEW, - 625 "VOLATILE": TokenType.VOLATILE, - 626 "WHEN": TokenType.WHEN, - 627 "WHERE": TokenType.WHERE, - 628 "WINDOW": TokenType.WINDOW, - 629 "WITH": TokenType.WITH, - 630 "WITH TIME ZONE": TokenType.WITH_TIME_ZONE, - 631 "WITH LOCAL TIME ZONE": TokenType.WITH_LOCAL_TIME_ZONE, - 632 "WITHIN GROUP": TokenType.WITHIN_GROUP, - 633 "WITHOUT TIME ZONE": TokenType.WITHOUT_TIME_ZONE, - 634 "APPLY": TokenType.APPLY, - 635 "ARRAY": TokenType.ARRAY, - 636 "BOOL": TokenType.BOOLEAN, - 637 "BOOLEAN": TokenType.BOOLEAN, - 638 "BYTE": TokenType.TINYINT, - 639 "TINYINT": TokenType.TINYINT, - 640 "SHORT": TokenType.SMALLINT, - 641 "SMALLINT": TokenType.SMALLINT, - 642 "INT2": TokenType.SMALLINT, - 643 "INTEGER": TokenType.INT, - 644 "INT": TokenType.INT, - 645 "INT4": TokenType.INT, - 646 "LONG": TokenType.BIGINT, - 647 "BIGINT": TokenType.BIGINT, - 648 "INT8": TokenType.BIGINT, - 649 "DECIMAL": TokenType.DECIMAL, - 650 "MAP": TokenType.MAP, - 651 "NULLABLE": TokenType.NULLABLE, - 652 "NUMBER": TokenType.DECIMAL, - 653 "NUMERIC": TokenType.DECIMAL, - 654 "FIXED": TokenType.DECIMAL, - 655 "REAL": TokenType.FLOAT, - 656 "FLOAT": TokenType.FLOAT, - 657 "FLOAT4": TokenType.FLOAT, - 658 "FLOAT8": TokenType.DOUBLE, - 659 "DOUBLE": TokenType.DOUBLE, - 660 "DOUBLE PRECISION": TokenType.DOUBLE, - 661 "JSON": TokenType.JSON, - 662 "CHAR": TokenType.CHAR, - 663 "NCHAR": TokenType.NCHAR, - 664 "VARCHAR": TokenType.VARCHAR, - 665 "VARCHAR2": TokenType.VARCHAR, - 666 "NVARCHAR": TokenType.NVARCHAR, - 667 "NVARCHAR2": TokenType.NVARCHAR, - 668 "STR": TokenType.TEXT, - 669 "STRING": TokenType.TEXT, - 670 "TEXT": TokenType.TEXT, - 671 "CLOB": TokenType.TEXT, - 672 "LONGVARCHAR": TokenType.TEXT, - 673 "BINARY": TokenType.BINARY, - 674 "BLOB": TokenType.VARBINARY, - 675 "BYTEA": TokenType.VARBINARY, - 676 "VARBINARY": TokenType.VARBINARY, - 677 "TIME": TokenType.TIME, - 678 "TIMESTAMP": TokenType.TIMESTAMP, - 679 "TIMESTAMPTZ": TokenType.TIMESTAMPTZ, - 680 "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ, - 681 "DATE": TokenType.DATE, - 682 "DATETIME": TokenType.DATETIME, - 683 "UNIQUE": TokenType.UNIQUE, - 684 "STRUCT": TokenType.STRUCT, - 685 "VARIANT": TokenType.VARIANT, - 686 "ALTER": TokenType.ALTER, - 687 "ALTER AGGREGATE": TokenType.COMMAND, - 688 "ALTER DEFAULT": TokenType.COMMAND, - 689 "ALTER DOMAIN": TokenType.COMMAND, - 690 "ALTER ROLE": TokenType.COMMAND, - 691 "ALTER RULE": TokenType.COMMAND, - 692 "ALTER SEQUENCE": TokenType.COMMAND, - 693 "ALTER TYPE": TokenType.COMMAND, - 694 "ALTER USER": TokenType.COMMAND, - 695 "ALTER VIEW": TokenType.COMMAND, - 696 "ANALYZE": TokenType.COMMAND, - 697 "CALL": TokenType.COMMAND, - 698 "COPY": TokenType.COMMAND, - 699 "EXPLAIN": TokenType.COMMAND, + 307class Token: + 308 __slots__ = ("token_type", "text", "line", "col", "comments") + 309 + 310 @classmethod + 311 def number(cls, number: int) -> Token: + 312 """Returns a NUMBER token with `number` as its text.""" + 313 return cls(TokenType.NUMBER, str(number)) + 314 + 315 @classmethod + 316 def string(cls, string: str) -> Token: + 317 """Returns a STRING token with `string` as its text.""" + 318 return cls(TokenType.STRING, string) + 319 + 320 @classmethod + 321 def identifier(cls, identifier: str) -> Token: + 322 """Returns an IDENTIFIER token with `identifier` as its text.""" + 323 return cls(TokenType.IDENTIFIER, identifier) + 324 + 325 @classmethod + 326 def var(cls, var: str) -> Token: + 327 """Returns an VAR token with `var` as its text.""" + 328 return cls(TokenType.VAR, var) + 329 + 330 def __init__( + 331 self, + 332 token_type: TokenType, + 333 text: str, + 334 line: int = 1, + 335 col: int = 1, + 336 comments: t.List[str] = [], + 337 ) -> None: + 338 self.token_type = token_type + 339 self.text = text + 340 self.line = line + 341 self.col = max(col - len(text), 1) + 342 self.comments = comments + 343 + 344 def __repr__(self) -> str: + 345 attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__) + 346 return f"<Token {attributes}>" + 347 + 348 + 349class _Tokenizer(type): + 350 def __new__(cls, clsname, bases, attrs): # type: ignore + 351 klass = super().__new__(cls, clsname, bases, attrs) + 352 + 353 klass._QUOTES = { + 354 f"{prefix}{s}": e + 355 for s, e in cls._delimeter_list_to_dict(klass.QUOTES).items() + 356 for prefix in (("",) if s[0].isalpha() else ("", "n", "N")) + 357 } + 358 klass._BIT_STRINGS = cls._delimeter_list_to_dict(klass.BIT_STRINGS) + 359 klass._HEX_STRINGS = cls._delimeter_list_to_dict(klass.HEX_STRINGS) + 360 klass._BYTE_STRINGS = cls._delimeter_list_to_dict(klass.BYTE_STRINGS) + 361 klass._IDENTIFIERS = cls._delimeter_list_to_dict(klass.IDENTIFIERS) + 362 klass._STRING_ESCAPES = set(klass.STRING_ESCAPES) + 363 klass._IDENTIFIER_ESCAPES = set(klass.IDENTIFIER_ESCAPES) + 364 klass._COMMENTS = dict( + 365 (comment, None) if isinstance(comment, str) else (comment[0], comment[1]) + 366 for comment in klass.COMMENTS + 367 ) + 368 + 369 klass.KEYWORD_TRIE = new_trie( + 370 key.upper() + 371 for key in { + 372 **klass.KEYWORDS, + 373 **{comment: TokenType.COMMENT for comment in klass._COMMENTS}, + 374 **{quote: TokenType.QUOTE for quote in klass._QUOTES}, + 375 **{bit_string: TokenType.BIT_STRING for bit_string in klass._BIT_STRINGS}, + 376 **{hex_string: TokenType.HEX_STRING for hex_string in klass._HEX_STRINGS}, + 377 **{byte_string: TokenType.BYTE_STRING for byte_string in klass._BYTE_STRINGS}, + 378 } + 379 if " " in key or any(single in key for single in klass.SINGLE_TOKENS) + 380 ) + 381 + 382 return klass + 383 + 384 @staticmethod + 385 def _delimeter_list_to_dict(list: t.List[str | t.Tuple[str, str]]) -> t.Dict[str, str]: + 386 return dict((item, item) if isinstance(item, str) else (item[0], item[1]) for item in list) + 387 + 388 + 389class Tokenizer(metaclass=_Tokenizer): + 390 SINGLE_TOKENS = { + 391 "(": TokenType.L_PAREN, + 392 ")": TokenType.R_PAREN, + 393 "[": TokenType.L_BRACKET, + 394 "]": TokenType.R_BRACKET, + 395 "{": TokenType.L_BRACE, + 396 "}": TokenType.R_BRACE, + 397 "&": TokenType.AMP, + 398 "^": TokenType.CARET, + 399 ":": TokenType.COLON, + 400 ",": TokenType.COMMA, + 401 ".": TokenType.DOT, + 402 "-": TokenType.DASH, + 403 "=": TokenType.EQ, + 404 ">": TokenType.GT, + 405 "<": TokenType.LT, + 406 "%": TokenType.MOD, + 407 "!": TokenType.NOT, + 408 "|": TokenType.PIPE, + 409 "+": TokenType.PLUS, + 410 ";": TokenType.SEMICOLON, + 411 "/": TokenType.SLASH, + 412 "\\": TokenType.BACKSLASH, + 413 "*": TokenType.STAR, + 414 "~": TokenType.TILDA, + 415 "?": TokenType.PLACEHOLDER, + 416 "@": TokenType.PARAMETER, + 417 # used for breaking a var like x'y' but nothing else + 418 # the token type doesn't matter + 419 "'": TokenType.QUOTE, + 420 "`": TokenType.IDENTIFIER, + 421 '"': TokenType.IDENTIFIER, + 422 "#": TokenType.HASH, + 423 } + 424 + 425 QUOTES: t.List[t.Tuple[str, str] | str] = ["'"] + 426 + 427 BIT_STRINGS: t.List[str | t.Tuple[str, str]] = [] + 428 + 429 HEX_STRINGS: t.List[str | t.Tuple[str, str]] = [] + 430 + 431 BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = [] + 432 + 433 IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"'] + 434 + 435 STRING_ESCAPES = ["'"] + 436 + 437 _STRING_ESCAPES: t.Set[str] = set() + 438 + 439 IDENTIFIER_ESCAPES = ['"'] + 440 + 441 _IDENTIFIER_ESCAPES: t.Set[str] = set() + 442 + 443 KEYWORDS = { + 444 **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")}, + 445 **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")}, + 446 "{{+": TokenType.BLOCK_START, + 447 "{{-": TokenType.BLOCK_START, + 448 "+}}": TokenType.BLOCK_END, + 449 "-}}": TokenType.BLOCK_END, + 450 "/*+": TokenType.HINT, + 451 "==": TokenType.EQ, + 452 "::": TokenType.DCOLON, + 453 "||": TokenType.DPIPE, + 454 ">=": TokenType.GTE, + 455 "<=": TokenType.LTE, + 456 "<>": TokenType.NEQ, + 457 "!=": TokenType.NEQ, + 458 "<=>": TokenType.NULLSAFE_EQ, + 459 "->": TokenType.ARROW, + 460 "->>": TokenType.DARROW, + 461 "=>": TokenType.FARROW, + 462 "#>": TokenType.HASH_ARROW, + 463 "#>>": TokenType.DHASH_ARROW, + 464 "<->": TokenType.LR_ARROW, + 465 "ALL": TokenType.ALL, + 466 "ALWAYS": TokenType.ALWAYS, + 467 "AND": TokenType.AND, + 468 "ANTI": TokenType.ANTI, + 469 "ANY": TokenType.ANY, + 470 "ASC": TokenType.ASC, + 471 "AS": TokenType.ALIAS, + 472 "AT TIME ZONE": TokenType.AT_TIME_ZONE, + 473 "AUTOINCREMENT": TokenType.AUTO_INCREMENT, + 474 "AUTO_INCREMENT": TokenType.AUTO_INCREMENT, + 475 "BEGIN": TokenType.BEGIN, + 476 "BETWEEN": TokenType.BETWEEN, + 477 "BOTH": TokenType.BOTH, + 478 "BUCKET": TokenType.BUCKET, + 479 "BY DEFAULT": TokenType.BY_DEFAULT, + 480 "CACHE": TokenType.CACHE, + 481 "UNCACHE": TokenType.UNCACHE, + 482 "CASE": TokenType.CASE, + 483 "CASCADE": TokenType.CASCADE, + 484 "CHARACTER SET": TokenType.CHARACTER_SET, + 485 "CLUSTER BY": TokenType.CLUSTER_BY, + 486 "COLLATE": TokenType.COLLATE, + 487 "COLUMN": TokenType.COLUMN, + 488 "COMMIT": TokenType.COMMIT, + 489 "COMPOUND": TokenType.COMPOUND, + 490 "CONSTRAINT": TokenType.CONSTRAINT, + 491 "CREATE": TokenType.CREATE, + 492 "CROSS": TokenType.CROSS, + 493 "CUBE": TokenType.CUBE, + 494 "CURRENT_DATE": TokenType.CURRENT_DATE, + 495 "CURRENT ROW": TokenType.CURRENT_ROW, + 496 "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP, + 497 "DATABASE": TokenType.DATABASE, + 498 "DEFAULT": TokenType.DEFAULT, + 499 "DELETE": TokenType.DELETE, + 500 "DESC": TokenType.DESC, + 501 "DESCRIBE": TokenType.DESCRIBE, + 502 "DISTINCT": TokenType.DISTINCT, + 503 "DISTINCT FROM": TokenType.DISTINCT_FROM, + 504 "DISTRIBUTE BY": TokenType.DISTRIBUTE_BY, + 505 "DIV": TokenType.DIV, + 506 "DROP": TokenType.DROP, + 507 "ELSE": TokenType.ELSE, + 508 "END": TokenType.END, + 509 "ESCAPE": TokenType.ESCAPE, + 510 "EXCEPT": TokenType.EXCEPT, + 511 "EXECUTE": TokenType.EXECUTE, + 512 "EXISTS": TokenType.EXISTS, + 513 "FALSE": TokenType.FALSE, + 514 "FETCH": TokenType.FETCH, + 515 "FILTER": TokenType.FILTER, + 516 "FIRST": TokenType.FIRST, + 517 "FULL": TokenType.FULL, + 518 "FUNCTION": TokenType.FUNCTION, + 519 "FOLLOWING": TokenType.FOLLOWING, + 520 "FOR": TokenType.FOR, + 521 "FOREIGN KEY": TokenType.FOREIGN_KEY, + 522 "FORMAT": TokenType.FORMAT, + 523 "FROM": TokenType.FROM, + 524 "GLOB": TokenType.GLOB, + 525 "GROUP BY": TokenType.GROUP_BY, + 526 "GROUPING SETS": TokenType.GROUPING_SETS, + 527 "HAVING": TokenType.HAVING, + 528 "IF": TokenType.IF, + 529 "ILIKE": TokenType.ILIKE, + 530 "IGNORE NULLS": TokenType.IGNORE_NULLS, + 531 "IN": TokenType.IN, + 532 "INDEX": TokenType.INDEX, + 533 "INET": TokenType.INET, + 534 "INNER": TokenType.INNER, + 535 "INSERT": TokenType.INSERT, + 536 "INTERVAL": TokenType.INTERVAL, + 537 "INTERSECT": TokenType.INTERSECT, + 538 "INTO": TokenType.INTO, + 539 "IS": TokenType.IS, + 540 "ISNULL": TokenType.ISNULL, + 541 "JOIN": TokenType.JOIN, + 542 "LATERAL": TokenType.LATERAL, + 543 "LAZY": TokenType.LAZY, + 544 "LEADING": TokenType.LEADING, + 545 "LEFT": TokenType.LEFT, + 546 "LIKE": TokenType.LIKE, + 547 "LIMIT": TokenType.LIMIT, + 548 "LOAD DATA": TokenType.LOAD_DATA, + 549 "LOCAL": TokenType.LOCAL, + 550 "MATERIALIZED": TokenType.MATERIALIZED, + 551 "MERGE": TokenType.MERGE, + 552 "NATURAL": TokenType.NATURAL, + 553 "NEXT": TokenType.NEXT, + 554 "NO ACTION": TokenType.NO_ACTION, + 555 "NOT": TokenType.NOT, + 556 "NOTNULL": TokenType.NOTNULL, + 557 "NULL": TokenType.NULL, + 558 "NULLS FIRST": TokenType.NULLS_FIRST, + 559 "NULLS LAST": TokenType.NULLS_LAST, + 560 "OBJECT": TokenType.OBJECT, + 561 "OFFSET": TokenType.OFFSET, + 562 "ON": TokenType.ON, + 563 "ONLY": TokenType.ONLY, + 564 "OPTIONS": TokenType.OPTIONS, + 565 "OR": TokenType.OR, + 566 "ORDER BY": TokenType.ORDER_BY, + 567 "ORDINALITY": TokenType.ORDINALITY, + 568 "OUTER": TokenType.OUTER, + 569 "OUT OF": TokenType.OUT_OF, + 570 "OVER": TokenType.OVER, + 571 "OVERLAPS": TokenType.OVERLAPS, + 572 "OVERWRITE": TokenType.OVERWRITE, + 573 "PARTITION": TokenType.PARTITION, + 574 "PARTITION BY": TokenType.PARTITION_BY, + 575 "PARTITIONED BY": TokenType.PARTITION_BY, + 576 "PARTITIONED_BY": TokenType.PARTITION_BY, + 577 "PERCENT": TokenType.PERCENT, + 578 "PIVOT": TokenType.PIVOT, + 579 "PRECEDING": TokenType.PRECEDING, + 580 "PRIMARY KEY": TokenType.PRIMARY_KEY, + 581 "PROCEDURE": TokenType.PROCEDURE, + 582 "QUALIFY": TokenType.QUALIFY, + 583 "RANGE": TokenType.RANGE, + 584 "RECURSIVE": TokenType.RECURSIVE, + 585 "REGEXP": TokenType.RLIKE, + 586 "REPLACE": TokenType.REPLACE, + 587 "RESPECT NULLS": TokenType.RESPECT_NULLS, + 588 "REFERENCES": TokenType.REFERENCES, + 589 "RIGHT": TokenType.RIGHT, + 590 "RLIKE": TokenType.RLIKE, + 591 "ROLLBACK": TokenType.ROLLBACK, + 592 "ROLLUP": TokenType.ROLLUP, + 593 "ROW": TokenType.ROW, + 594 "ROWS": TokenType.ROWS, + 595 "SCHEMA": TokenType.SCHEMA, + 596 "SEED": TokenType.SEED, + 597 "SELECT": TokenType.SELECT, + 598 "SEMI": TokenType.SEMI, + 599 "SET": TokenType.SET, + 600 "SHOW": TokenType.SHOW, + 601 "SIMILAR TO": TokenType.SIMILAR_TO, + 602 "SOME": TokenType.SOME, + 603 "SORTKEY": TokenType.SORTKEY, + 604 "SORT BY": TokenType.SORT_BY, + 605 "TABLE": TokenType.TABLE, + 606 "TABLESAMPLE": TokenType.TABLE_SAMPLE, + 607 "TEMP": TokenType.TEMPORARY, + 608 "TEMPORARY": TokenType.TEMPORARY, + 609 "THEN": TokenType.THEN, + 610 "TRUE": TokenType.TRUE, + 611 "TRAILING": TokenType.TRAILING, + 612 "UNBOUNDED": TokenType.UNBOUNDED, + 613 "UNION": TokenType.UNION, + 614 "UNLOGGED": TokenType.UNLOGGED, + 615 "UNNEST": TokenType.UNNEST, + 616 "UNPIVOT": TokenType.UNPIVOT, + 617 "UPDATE": TokenType.UPDATE, + 618 "USE": TokenType.USE, + 619 "USING": TokenType.USING, + 620 "VALUES": TokenType.VALUES, + 621 "VIEW": TokenType.VIEW, + 622 "VOLATILE": TokenType.VOLATILE, + 623 "WHEN": TokenType.WHEN, + 624 "WHERE": TokenType.WHERE, + 625 "WINDOW": TokenType.WINDOW, + 626 "WITH": TokenType.WITH, + 627 "WITH TIME ZONE": TokenType.WITH_TIME_ZONE, + 628 "WITH LOCAL TIME ZONE": TokenType.WITH_LOCAL_TIME_ZONE, + 629 "WITHIN GROUP": TokenType.WITHIN_GROUP, + 630 "WITHOUT TIME ZONE": TokenType.WITHOUT_TIME_ZONE, + 631 "APPLY": TokenType.APPLY, + 632 "ARRAY": TokenType.ARRAY, + 633 "BOOL": TokenType.BOOLEAN, + 634 "BOOLEAN": TokenType.BOOLEAN, + 635 "BYTE": TokenType.TINYINT, + 636 "TINYINT": TokenType.TINYINT, + 637 "SHORT": TokenType.SMALLINT, + 638 "SMALLINT": TokenType.SMALLINT, + 639 "INT2": TokenType.SMALLINT, + 640 "INTEGER": TokenType.INT, + 641 "INT": TokenType.INT, + 642 "INT4": TokenType.INT, + 643 "LONG": TokenType.BIGINT, + 644 "BIGINT": TokenType.BIGINT, + 645 "INT8": TokenType.BIGINT, + 646 "DECIMAL": TokenType.DECIMAL, + 647 "MAP": TokenType.MAP, + 648 "NULLABLE": TokenType.NULLABLE, + 649 "NUMBER": TokenType.DECIMAL, + 650 "NUMERIC": TokenType.DECIMAL, + 651 "FIXED": TokenType.DECIMAL, + 652 "REAL": TokenType.FLOAT, + 653 "FLOAT": TokenType.FLOAT, + 654 "FLOAT4": TokenType.FLOAT, + 655 "FLOAT8": TokenType.DOUBLE, + 656 "DOUBLE": TokenType.DOUBLE, + 657 "DOUBLE PRECISION": TokenType.DOUBLE, + 658 "JSON": TokenType.JSON, + 659 "CHAR": TokenType.CHAR, + 660 "CHARACTER": TokenType.CHAR, + 661 "NCHAR": TokenType.NCHAR, + 662 "VARCHAR": TokenType.VARCHAR, + 663 "VARCHAR2": TokenType.VARCHAR, + 664 "NVARCHAR": TokenType.NVARCHAR, + 665 "NVARCHAR2": TokenType.NVARCHAR, + 666 "STR": TokenType.TEXT, + 667 "STRING": TokenType.TEXT, + 668 "TEXT": TokenType.TEXT, + 669 "CLOB": TokenType.TEXT, + 670 "LONGVARCHAR": TokenType.TEXT, + 671 "BINARY": TokenType.BINARY, + 672 "BLOB": TokenType.VARBINARY, + 673 "BYTEA": TokenType.VARBINARY, + 674 "VARBINARY": TokenType.VARBINARY, + 675 "TIME": TokenType.TIME, + 676 "TIMESTAMP": TokenType.TIMESTAMP, + 677 "TIMESTAMPTZ": TokenType.TIMESTAMPTZ, + 678 "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ, + 679 "DATE": TokenType.DATE, + 680 "DATETIME": TokenType.DATETIME, + 681 "UNIQUE": TokenType.UNIQUE, + 682 "STRUCT": TokenType.STRUCT, + 683 "VARIANT": TokenType.VARIANT, + 684 "ALTER": TokenType.ALTER, + 685 "ALTER AGGREGATE": TokenType.COMMAND, + 686 "ALTER DEFAULT": TokenType.COMMAND, + 687 "ALTER DOMAIN": TokenType.COMMAND, + 688 "ALTER ROLE": TokenType.COMMAND, + 689 "ALTER RULE": TokenType.COMMAND, + 690 "ALTER SEQUENCE": TokenType.COMMAND, + 691 "ALTER TYPE": TokenType.COMMAND, + 692 "ALTER USER": TokenType.COMMAND, + 693 "ALTER VIEW": TokenType.COMMAND, + 694 "ANALYZE": TokenType.COMMAND, + 695 "CALL": TokenType.COMMAND, + 696 "COMMENT": TokenType.COMMENT, + 697 "COPY": TokenType.COMMAND, + 698 "EXPLAIN": TokenType.COMMAND, + 699 "GRANT": TokenType.COMMAND, 700 "OPTIMIZE": TokenType.COMMAND, 701 "PREPARE": TokenType.COMMAND, 702 "TRUNCATE": TokenType.COMMAND, @@ -1671,7 +1680,7 @@ 725 NUMERIC_LITERALS: t.Dict[str, str] = {} 726 ENCODE: t.Optional[str] = None 727 - 728 COMMENTS = ["--", ("/*", "*/")] + 728 COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")] 729 KEYWORD_TRIE = None # autofilled 730 731 IDENTIFIER_CAN_START_WITH_DIGIT = False @@ -2129,245 +2138,248 @@ 61 STRING = auto() 62 NUMBER = auto() 63 IDENTIFIER = auto() - 64 COLUMN = auto() - 65 COLUMN_DEF = auto() - 66 SCHEMA = auto() - 67 TABLE = auto() - 68 VAR = auto() - 69 BIT_STRING = auto() - 70 HEX_STRING = auto() - 71 BYTE_STRING = auto() - 72 - 73 # types - 74 BOOLEAN = auto() - 75 TINYINT = auto() - 76 SMALLINT = auto() - 77 INT = auto() - 78 BIGINT = auto() - 79 FLOAT = auto() - 80 DOUBLE = auto() - 81 DECIMAL = auto() - 82 CHAR = auto() - 83 NCHAR = auto() - 84 VARCHAR = auto() - 85 NVARCHAR = auto() - 86 TEXT = auto() - 87 MEDIUMTEXT = auto() - 88 LONGTEXT = auto() - 89 MEDIUMBLOB = auto() - 90 LONGBLOB = auto() - 91 BINARY = auto() - 92 VARBINARY = auto() - 93 JSON = auto() - 94 JSONB = auto() - 95 TIME = auto() - 96 TIMESTAMP = auto() - 97 TIMESTAMPTZ = auto() - 98 TIMESTAMPLTZ = auto() - 99 DATETIME = auto() -100 DATE = auto() -101 UUID = auto() -102 GEOGRAPHY = auto() -103 NULLABLE = auto() -104 GEOMETRY = auto() -105 HLLSKETCH = auto() -106 HSTORE = auto() -107 SUPER = auto() -108 SERIAL = auto() -109 SMALLSERIAL = auto() -110 BIGSERIAL = auto() -111 XML = auto() -112 UNIQUEIDENTIFIER = auto() -113 MONEY = auto() -114 SMALLMONEY = auto() -115 ROWVERSION = auto() -116 IMAGE = auto() -117 VARIANT = auto() -118 OBJECT = auto() -119 INET = auto() -120 -121 # keywords -122 ALIAS = auto() -123 ALTER = auto() -124 ALWAYS = auto() -125 ALL = auto() -126 ANTI = auto() -127 ANY = auto() -128 APPLY = auto() -129 ARRAY = auto() -130 ASC = auto() -131 ASOF = auto() -132 AT_TIME_ZONE = auto() -133 AUTO_INCREMENT = auto() -134 BEGIN = auto() -135 BETWEEN = auto() -136 BOTH = auto() -137 BUCKET = auto() -138 BY_DEFAULT = auto() -139 CACHE = auto() -140 CASCADE = auto() -141 CASE = auto() -142 CHARACTER_SET = auto() -143 CLUSTER_BY = auto() -144 COLLATE = auto() -145 COMMAND = auto() -146 COMMENT = auto() -147 COMMIT = auto() -148 COMPOUND = auto() -149 CONSTRAINT = auto() -150 CREATE = auto() -151 CROSS = auto() -152 CUBE = auto() -153 CURRENT_DATE = auto() -154 CURRENT_DATETIME = auto() -155 CURRENT_ROW = auto() -156 CURRENT_TIME = auto() -157 CURRENT_TIMESTAMP = auto() -158 DEFAULT = auto() -159 DELETE = auto() -160 DESC = auto() -161 DESCRIBE = auto() -162 DISTINCT = auto() -163 DISTINCT_FROM = auto() -164 DISTRIBUTE_BY = auto() -165 DIV = auto() -166 DROP = auto() -167 ELSE = auto() -168 END = auto() -169 ESCAPE = auto() -170 EXCEPT = auto() -171 EXECUTE = auto() -172 EXISTS = auto() -173 FALSE = auto() -174 FETCH = auto() -175 FILTER = auto() -176 FINAL = auto() -177 FIRST = auto() -178 FOLLOWING = auto() -179 FOR = auto() -180 FOREIGN_KEY = auto() -181 FORMAT = auto() -182 FROM = auto() -183 FULL = auto() -184 FUNCTION = auto() -185 GLOB = auto() -186 GLOBAL = auto() -187 GROUP_BY = auto() -188 GROUPING_SETS = auto() -189 HAVING = auto() -190 HINT = auto() -191 IF = auto() -192 IGNORE_NULLS = auto() -193 ILIKE = auto() -194 ILIKE_ANY = auto() -195 IN = auto() -196 INDEX = auto() -197 INNER = auto() -198 INSERT = auto() -199 INTERSECT = auto() -200 INTERVAL = auto() -201 INTO = auto() -202 INTRODUCER = auto() -203 IRLIKE = auto() -204 IS = auto() -205 ISNULL = auto() -206 JOIN = auto() -207 LANGUAGE = auto() -208 LATERAL = auto() -209 LAZY = auto() -210 LEADING = auto() -211 LEFT = auto() -212 LIKE = auto() -213 LIKE_ANY = auto() -214 LIMIT = auto() -215 LOAD_DATA = auto() -216 LOCAL = auto() -217 MAP = auto() -218 MATCH_RECOGNIZE = auto() -219 MATERIALIZED = auto() -220 MERGE = auto() -221 MOD = auto() -222 NATURAL = auto() -223 NEXT = auto() -224 NO_ACTION = auto() -225 NOTNULL = auto() -226 NULL = auto() -227 NULLS_FIRST = auto() -228 NULLS_LAST = auto() -229 OFFSET = auto() -230 ON = auto() -231 ONLY = auto() -232 OPTIONS = auto() -233 ORDER_BY = auto() -234 ORDERED = auto() -235 ORDINALITY = auto() -236 OUTER = auto() -237 OUT_OF = auto() -238 OVER = auto() -239 OVERWRITE = auto() -240 PARTITION = auto() -241 PARTITION_BY = auto() -242 PERCENT = auto() -243 PIVOT = auto() -244 PLACEHOLDER = auto() -245 PRECEDING = auto() -246 PRIMARY_KEY = auto() -247 PROCEDURE = auto() -248 PROPERTIES = auto() -249 PSEUDO_TYPE = auto() -250 QUALIFY = auto() -251 QUOTE = auto() -252 RANGE = auto() -253 RECURSIVE = auto() -254 REPLACE = auto() -255 RESPECT_NULLS = auto() -256 RETURNING = auto() -257 REFERENCES = auto() -258 RIGHT = auto() -259 RLIKE = auto() -260 ROLLBACK = auto() -261 ROLLUP = auto() -262 ROW = auto() -263 ROWS = auto() -264 SEED = auto() -265 SELECT = auto() -266 SEMI = auto() -267 SEPARATOR = auto() -268 SERDE_PROPERTIES = auto() -269 SET = auto() -270 SHOW = auto() -271 SIMILAR_TO = auto() -272 SOME = auto() -273 SORTKEY = auto() -274 SORT_BY = auto() -275 STRUCT = auto() -276 TABLE_SAMPLE = auto() -277 TEMPORARY = auto() -278 TOP = auto() -279 THEN = auto() -280 TRAILING = auto() -281 TRUE = auto() -282 UNBOUNDED = auto() -283 UNCACHE = auto() -284 UNION = auto() -285 UNLOGGED = auto() -286 UNNEST = auto() -287 UNPIVOT = auto() -288 UPDATE = auto() -289 USE = auto() -290 USING = auto() -291 VALUES = auto() -292 VIEW = auto() -293 VOLATILE = auto() -294 WHEN = auto() -295 WHERE = auto() -296 WINDOW = auto() -297 WITH = auto() -298 WITH_TIME_ZONE = auto() -299 WITH_LOCAL_TIME_ZONE = auto() -300 WITHIN_GROUP = auto() -301 WITHOUT_TIME_ZONE = auto() -302 UNIQUE = auto() + 64 DATABASE = auto() + 65 COLUMN = auto() + 66 COLUMN_DEF = auto() + 67 SCHEMA = auto() + 68 TABLE = auto() + 69 VAR = auto() + 70 BIT_STRING = auto() + 71 HEX_STRING = auto() + 72 BYTE_STRING = auto() + 73 + 74 # types + 75 BOOLEAN = auto() + 76 TINYINT = auto() + 77 SMALLINT = auto() + 78 INT = auto() + 79 BIGINT = auto() + 80 FLOAT = auto() + 81 DOUBLE = auto() + 82 DECIMAL = auto() + 83 CHAR = auto() + 84 NCHAR = auto() + 85 VARCHAR = auto() + 86 NVARCHAR = auto() + 87 TEXT = auto() + 88 MEDIUMTEXT = auto() + 89 LONGTEXT = auto() + 90 MEDIUMBLOB = auto() + 91 LONGBLOB = auto() + 92 BINARY = auto() + 93 VARBINARY = auto() + 94 JSON = auto() + 95 JSONB = auto() + 96 TIME = auto() + 97 TIMESTAMP = auto() + 98 TIMESTAMPTZ = auto() + 99 TIMESTAMPLTZ = auto() +100 DATETIME = auto() +101 DATE = auto() +102 UUID = auto() +103 GEOGRAPHY = auto() +104 NULLABLE = auto() +105 GEOMETRY = auto() +106 HLLSKETCH = auto() +107 HSTORE = auto() +108 SUPER = auto() +109 SERIAL = auto() +110 SMALLSERIAL = auto() +111 BIGSERIAL = auto() +112 XML = auto() +113 UNIQUEIDENTIFIER = auto() +114 MONEY = auto() +115 SMALLMONEY = auto() +116 ROWVERSION = auto() +117 IMAGE = auto() +118 VARIANT = auto() +119 OBJECT = auto() +120 INET = auto() +121 +122 # keywords +123 ALIAS = auto() +124 ALTER = auto() +125 ALWAYS = auto() +126 ALL = auto() +127 ANTI = auto() +128 ANY = auto() +129 APPLY = auto() +130 ARRAY = auto() +131 ASC = auto() +132 ASOF = auto() +133 AT_TIME_ZONE = auto() +134 AUTO_INCREMENT = auto() +135 BEGIN = auto() +136 BETWEEN = auto() +137 BOTH = auto() +138 BUCKET = auto() +139 BY_DEFAULT = auto() +140 CACHE = auto() +141 CASCADE = auto() +142 CASE = auto() +143 CHARACTER_SET = auto() +144 CLUSTER_BY = auto() +145 COLLATE = auto() +146 COMMAND = auto() +147 COMMENT = auto() +148 COMMIT = auto() +149 COMPOUND = auto() +150 CONSTRAINT = auto() +151 CREATE = auto() +152 CROSS = auto() +153 CUBE = auto() +154 CURRENT_DATE = auto() +155 CURRENT_DATETIME = auto() +156 CURRENT_ROW = auto() +157 CURRENT_TIME = auto() +158 CURRENT_TIMESTAMP = auto() +159 DEFAULT = auto() +160 DELETE = auto() +161 DESC = auto() +162 DESCRIBE = auto() +163 DISTINCT = auto() +164 DISTINCT_FROM = auto() +165 DISTRIBUTE_BY = auto() +166 DIV = auto() +167 DROP = auto() +168 ELSE = auto() +169 END = auto() +170 ESCAPE = auto() +171 EXCEPT = auto() +172 EXECUTE = auto() +173 EXISTS = auto() +174 FALSE = auto() +175 FETCH = auto() +176 FILTER = auto() +177 FINAL = auto() +178 FIRST = auto() +179 FOLLOWING = auto() +180 FOR = auto() +181 FOREIGN_KEY = auto() +182 FORMAT = auto() +183 FROM = auto() +184 FULL = auto() +185 FUNCTION = auto() +186 GLOB = auto() +187 GLOBAL = auto() +188 GROUP_BY = auto() +189 GROUPING_SETS = auto() +190 HAVING = auto() +191 HINT = auto() +192 IF = auto() +193 IGNORE_NULLS = auto() +194 ILIKE = auto() +195 ILIKE_ANY = auto() +196 IN = auto() +197 INDEX = auto() +198 INNER = auto() +199 INSERT = auto() +200 INTERSECT = auto() +201 INTERVAL = auto() +202 INTO = auto() +203 INTRODUCER = auto() +204 IRLIKE = auto() +205 IS = auto() +206 ISNULL = auto() +207 JOIN = auto() +208 JOIN_MARKER = auto() +209 LANGUAGE = auto() +210 LATERAL = auto() +211 LAZY = auto() +212 LEADING = auto() +213 LEFT = auto() +214 LIKE = auto() +215 LIKE_ANY = auto() +216 LIMIT = auto() +217 LOAD_DATA = auto() +218 LOCAL = auto() +219 MAP = auto() +220 MATCH_RECOGNIZE = auto() +221 MATERIALIZED = auto() +222 MERGE = auto() +223 MOD = auto() +224 NATURAL = auto() +225 NEXT = auto() +226 NO_ACTION = auto() +227 NOTNULL = auto() +228 NULL = auto() +229 NULLS_FIRST = auto() +230 NULLS_LAST = auto() +231 OFFSET = auto() +232 ON = auto() +233 ONLY = auto() +234 OPTIONS = auto() +235 ORDER_BY = auto() +236 ORDERED = auto() +237 ORDINALITY = auto() +238 OUTER = auto() +239 OUT_OF = auto() +240 OVER = auto() +241 OVERLAPS = auto() +242 OVERWRITE = auto() +243 PARTITION = auto() +244 PARTITION_BY = auto() +245 PERCENT = auto() +246 PIVOT = auto() +247 PLACEHOLDER = auto() +248 PRECEDING = auto() +249 PRIMARY_KEY = auto() +250 PROCEDURE = auto() +251 PROPERTIES = auto() +252 PSEUDO_TYPE = auto() +253 QUALIFY = auto() +254 QUOTE = auto() +255 RANGE = auto() +256 RECURSIVE = auto() +257 REPLACE = auto() +258 RESPECT_NULLS = auto() +259 RETURNING = auto() +260 REFERENCES = auto() +261 RIGHT = auto() +262 RLIKE = auto() +263 ROLLBACK = auto() +264 ROLLUP = auto() +265 ROW = auto() +266 ROWS = auto() +267 SEED = auto() +268 SELECT = auto() +269 SEMI = auto() +270 SEPARATOR = auto() +271 SERDE_PROPERTIES = auto() +272 SET = auto() +273 SHOW = auto() +274 SIMILAR_TO = auto() +275 SOME = auto() +276 SORTKEY = auto() +277 SORT_BY = auto() +278 STRUCT = auto() +279 TABLE_SAMPLE = auto() +280 TEMPORARY = auto() +281 TOP = auto() +282 THEN = auto() +283 TRAILING = auto() +284 TRUE = auto() +285 UNBOUNDED = auto() +286 UNCACHE = auto() +287 UNION = auto() +288 UNLOGGED = auto() +289 UNNEST = auto() +290 UNPIVOT = auto() +291 UPDATE = auto() +292 USE = auto() +293 USING = auto() +294 VALUES = auto() +295 VIEW = auto() +296 VOLATILE = auto() +297 WHEN = auto() +298 WHERE = auto() +299 WINDOW = auto() +300 WITH = auto() +301 WITH_TIME_ZONE = auto() +302 WITH_LOCAL_TIME_ZONE = auto() +303 WITHIN_GROUP = auto() +304 WITHOUT_TIME_ZONE = auto() +305 UNIQUE = auto()
    @@ -2962,6 +2974,18 @@ + +
    +
    + DATABASE = +<TokenType.DATABASE: 'DATABASE'> + + +
    + + + +
    @@ -4630,6 +4654,18 @@ +
    +
    +
    + JOIN_MARKER = +<TokenType.JOIN_MARKER: 'JOIN_MARKER'> + + +
    + + + +
    @@ -5014,6 +5050,18 @@ +
    +
    +
    + OVERLAPS = +<TokenType.OVERLAPS: 'OVERLAPS'> + + +
    + + + +
    @@ -5805,46 +5853,46 @@
    -
    305class Token:
    -306    __slots__ = ("token_type", "text", "line", "col", "comments")
    -307
    -308    @classmethod
    -309    def number(cls, number: int) -> Token:
    -310        """Returns a NUMBER token with `number` as its text."""
    -311        return cls(TokenType.NUMBER, str(number))
    -312
    -313    @classmethod
    -314    def string(cls, string: str) -> Token:
    -315        """Returns a STRING token with `string` as its text."""
    -316        return cls(TokenType.STRING, string)
    -317
    -318    @classmethod
    -319    def identifier(cls, identifier: str) -> Token:
    -320        """Returns an IDENTIFIER token with `identifier` as its text."""
    -321        return cls(TokenType.IDENTIFIER, identifier)
    -322
    -323    @classmethod
    -324    def var(cls, var: str) -> Token:
    -325        """Returns an VAR token with `var` as its text."""
    -326        return cls(TokenType.VAR, var)
    -327
    -328    def __init__(
    -329        self,
    -330        token_type: TokenType,
    -331        text: str,
    -332        line: int = 1,
    -333        col: int = 1,
    -334        comments: t.List[str] = [],
    -335    ) -> None:
    -336        self.token_type = token_type
    -337        self.text = text
    -338        self.line = line
    -339        self.col = max(col - len(text), 1)
    -340        self.comments = comments
    -341
    -342    def __repr__(self) -> str:
    -343        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
    -344        return f"<Token {attributes}>"
    +            
    308class Token:
    +309    __slots__ = ("token_type", "text", "line", "col", "comments")
    +310
    +311    @classmethod
    +312    def number(cls, number: int) -> Token:
    +313        """Returns a NUMBER token with `number` as its text."""
    +314        return cls(TokenType.NUMBER, str(number))
    +315
    +316    @classmethod
    +317    def string(cls, string: str) -> Token:
    +318        """Returns a STRING token with `string` as its text."""
    +319        return cls(TokenType.STRING, string)
    +320
    +321    @classmethod
    +322    def identifier(cls, identifier: str) -> Token:
    +323        """Returns an IDENTIFIER token with `identifier` as its text."""
    +324        return cls(TokenType.IDENTIFIER, identifier)
    +325
    +326    @classmethod
    +327    def var(cls, var: str) -> Token:
    +328        """Returns an VAR token with `var` as its text."""
    +329        return cls(TokenType.VAR, var)
    +330
    +331    def __init__(
    +332        self,
    +333        token_type: TokenType,
    +334        text: str,
    +335        line: int = 1,
    +336        col: int = 1,
    +337        comments: t.List[str] = [],
    +338    ) -> None:
    +339        self.token_type = token_type
    +340        self.text = text
    +341        self.line = line
    +342        self.col = max(col - len(text), 1)
    +343        self.comments = comments
    +344
    +345    def __repr__(self) -> str:
    +346        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
    +347        return f"<Token {attributes}>"
     
    @@ -5860,19 +5908,19 @@
    -
    328    def __init__(
    -329        self,
    -330        token_type: TokenType,
    -331        text: str,
    -332        line: int = 1,
    -333        col: int = 1,
    -334        comments: t.List[str] = [],
    -335    ) -> None:
    -336        self.token_type = token_type
    -337        self.text = text
    -338        self.line = line
    -339        self.col = max(col - len(text), 1)
    -340        self.comments = comments
    +            
    331    def __init__(
    +332        self,
    +333        token_type: TokenType,
    +334        text: str,
    +335        line: int = 1,
    +336        col: int = 1,
    +337        comments: t.List[str] = [],
    +338    ) -> None:
    +339        self.token_type = token_type
    +340        self.text = text
    +341        self.line = line
    +342        self.col = max(col - len(text), 1)
    +343        self.comments = comments
     
    @@ -5891,10 +5939,10 @@
    -
    308    @classmethod
    -309    def number(cls, number: int) -> Token:
    -310        """Returns a NUMBER token with `number` as its text."""
    -311        return cls(TokenType.NUMBER, str(number))
    +            
    311    @classmethod
    +312    def number(cls, number: int) -> Token:
    +313        """Returns a NUMBER token with `number` as its text."""
    +314        return cls(TokenType.NUMBER, str(number))
     
    @@ -5915,10 +5963,10 @@
    -
    313    @classmethod
    -314    def string(cls, string: str) -> Token:
    -315        """Returns a STRING token with `string` as its text."""
    -316        return cls(TokenType.STRING, string)
    +            
    316    @classmethod
    +317    def string(cls, string: str) -> Token:
    +318        """Returns a STRING token with `string` as its text."""
    +319        return cls(TokenType.STRING, string)
     
    @@ -5939,10 +5987,10 @@
    -
    318    @classmethod
    -319    def identifier(cls, identifier: str) -> Token:
    -320        """Returns an IDENTIFIER token with `identifier` as its text."""
    -321        return cls(TokenType.IDENTIFIER, identifier)
    +            
    321    @classmethod
    +322    def identifier(cls, identifier: str) -> Token:
    +323        """Returns an IDENTIFIER token with `identifier` as its text."""
    +324        return cls(TokenType.IDENTIFIER, identifier)
     
    @@ -5963,10 +6011,10 @@
    -
    323    @classmethod
    -324    def var(cls, var: str) -> Token:
    -325        """Returns an VAR token with `var` as its text."""
    -326        return cls(TokenType.VAR, var)
    +            
    326    @classmethod
    +327    def var(cls, var: str) -> Token:
    +328        """Returns an VAR token with `var` as its text."""
    +329        return cls(TokenType.VAR, var)
     
    @@ -5987,320 +6035,317 @@
    -
     387class Tokenizer(metaclass=_Tokenizer):
    - 388    SINGLE_TOKENS = {
    - 389        "(": TokenType.L_PAREN,
    - 390        ")": TokenType.R_PAREN,
    - 391        "[": TokenType.L_BRACKET,
    - 392        "]": TokenType.R_BRACKET,
    - 393        "{": TokenType.L_BRACE,
    - 394        "}": TokenType.R_BRACE,
    - 395        "&": TokenType.AMP,
    - 396        "^": TokenType.CARET,
    - 397        ":": TokenType.COLON,
    - 398        ",": TokenType.COMMA,
    - 399        ".": TokenType.DOT,
    - 400        "-": TokenType.DASH,
    - 401        "=": TokenType.EQ,
    - 402        ">": TokenType.GT,
    - 403        "<": TokenType.LT,
    - 404        "%": TokenType.MOD,
    - 405        "!": TokenType.NOT,
    - 406        "|": TokenType.PIPE,
    - 407        "+": TokenType.PLUS,
    - 408        ";": TokenType.SEMICOLON,
    - 409        "/": TokenType.SLASH,
    - 410        "\\": TokenType.BACKSLASH,
    - 411        "*": TokenType.STAR,
    - 412        "~": TokenType.TILDA,
    - 413        "?": TokenType.PLACEHOLDER,
    - 414        "@": TokenType.PARAMETER,
    - 415        # used for breaking a var like x'y' but nothing else
    - 416        # the token type doesn't matter
    - 417        "'": TokenType.QUOTE,
    - 418        "`": TokenType.IDENTIFIER,
    - 419        '"': TokenType.IDENTIFIER,
    - 420        "#": TokenType.HASH,
    - 421    }
    - 422
    - 423    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
    - 424
    - 425    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
    - 426
    - 427    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
    - 428
    - 429    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
    - 430
    - 431    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
    - 432
    - 433    STRING_ESCAPES = ["'"]
    - 434
    - 435    _STRING_ESCAPES: t.Set[str] = set()
    - 436
    - 437    IDENTIFIER_ESCAPES = ['"']
    - 438
    - 439    _IDENTIFIER_ESCAPES: t.Set[str] = set()
    - 440
    - 441    KEYWORDS = {
    - 442        **{
    - 443            f"{key}{postfix}": TokenType.BLOCK_START
    - 444            for key in ("{%", "{#")
    - 445            for postfix in ("", "+", "-")
    - 446        },
    - 447        **{
    - 448            f"{prefix}{key}": TokenType.BLOCK_END
    - 449            for key in ("%}", "#}")
    - 450            for prefix in ("", "+", "-")
    - 451        },
    - 452        "{{+": TokenType.BLOCK_START,
    - 453        "{{-": TokenType.BLOCK_START,
    - 454        "+}}": TokenType.BLOCK_END,
    - 455        "-}}": TokenType.BLOCK_END,
    - 456        "/*+": TokenType.HINT,
    - 457        "==": TokenType.EQ,
    - 458        "::": TokenType.DCOLON,
    - 459        "||": TokenType.DPIPE,
    - 460        ">=": TokenType.GTE,
    - 461        "<=": TokenType.LTE,
    - 462        "<>": TokenType.NEQ,
    - 463        "!=": TokenType.NEQ,
    - 464        "<=>": TokenType.NULLSAFE_EQ,
    - 465        "->": TokenType.ARROW,
    - 466        "->>": TokenType.DARROW,
    - 467        "=>": TokenType.FARROW,
    - 468        "#>": TokenType.HASH_ARROW,
    - 469        "#>>": TokenType.DHASH_ARROW,
    - 470        "<->": TokenType.LR_ARROW,
    - 471        "ALL": TokenType.ALL,
    - 472        "ALWAYS": TokenType.ALWAYS,
    - 473        "AND": TokenType.AND,
    - 474        "ANTI": TokenType.ANTI,
    - 475        "ANY": TokenType.ANY,
    - 476        "ASC": TokenType.ASC,
    - 477        "AS": TokenType.ALIAS,
    - 478        "AT TIME ZONE": TokenType.AT_TIME_ZONE,
    - 479        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
    - 480        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
    - 481        "BEGIN": TokenType.BEGIN,
    - 482        "BETWEEN": TokenType.BETWEEN,
    - 483        "BOTH": TokenType.BOTH,
    - 484        "BUCKET": TokenType.BUCKET,
    - 485        "BY DEFAULT": TokenType.BY_DEFAULT,
    - 486        "CACHE": TokenType.CACHE,
    - 487        "UNCACHE": TokenType.UNCACHE,
    - 488        "CASE": TokenType.CASE,
    - 489        "CASCADE": TokenType.CASCADE,
    - 490        "CHARACTER SET": TokenType.CHARACTER_SET,
    - 491        "CLUSTER BY": TokenType.CLUSTER_BY,
    - 492        "COLLATE": TokenType.COLLATE,
    - 493        "COLUMN": TokenType.COLUMN,
    - 494        "COMMIT": TokenType.COMMIT,
    - 495        "COMPOUND": TokenType.COMPOUND,
    - 496        "CONSTRAINT": TokenType.CONSTRAINT,
    - 497        "CREATE": TokenType.CREATE,
    - 498        "CROSS": TokenType.CROSS,
    - 499        "CUBE": TokenType.CUBE,
    - 500        "CURRENT_DATE": TokenType.CURRENT_DATE,
    - 501        "CURRENT ROW": TokenType.CURRENT_ROW,
    - 502        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
    - 503        "DEFAULT": TokenType.DEFAULT,
    - 504        "DELETE": TokenType.DELETE,
    - 505        "DESC": TokenType.DESC,
    - 506        "DESCRIBE": TokenType.DESCRIBE,
    - 507        "DISTINCT": TokenType.DISTINCT,
    - 508        "DISTINCT FROM": TokenType.DISTINCT_FROM,
    - 509        "DISTRIBUTE BY": TokenType.DISTRIBUTE_BY,
    - 510        "DIV": TokenType.DIV,
    - 511        "DROP": TokenType.DROP,
    - 512        "ELSE": TokenType.ELSE,
    - 513        "END": TokenType.END,
    - 514        "ESCAPE": TokenType.ESCAPE,
    - 515        "EXCEPT": TokenType.EXCEPT,
    - 516        "EXECUTE": TokenType.EXECUTE,
    - 517        "EXISTS": TokenType.EXISTS,
    - 518        "FALSE": TokenType.FALSE,
    - 519        "FETCH": TokenType.FETCH,
    - 520        "FILTER": TokenType.FILTER,
    - 521        "FIRST": TokenType.FIRST,
    - 522        "FULL": TokenType.FULL,
    - 523        "FUNCTION": TokenType.FUNCTION,
    - 524        "FOLLOWING": TokenType.FOLLOWING,
    - 525        "FOR": TokenType.FOR,
    - 526        "FOREIGN KEY": TokenType.FOREIGN_KEY,
    - 527        "FORMAT": TokenType.FORMAT,
    - 528        "FROM": TokenType.FROM,
    - 529        "GLOB": TokenType.GLOB,
    - 530        "GROUP BY": TokenType.GROUP_BY,
    - 531        "GROUPING SETS": TokenType.GROUPING_SETS,
    - 532        "HAVING": TokenType.HAVING,
    - 533        "IF": TokenType.IF,
    - 534        "ILIKE": TokenType.ILIKE,
    - 535        "IGNORE NULLS": TokenType.IGNORE_NULLS,
    - 536        "IN": TokenType.IN,
    - 537        "INDEX": TokenType.INDEX,
    - 538        "INET": TokenType.INET,
    - 539        "INNER": TokenType.INNER,
    - 540        "INSERT": TokenType.INSERT,
    - 541        "INTERVAL": TokenType.INTERVAL,
    - 542        "INTERSECT": TokenType.INTERSECT,
    - 543        "INTO": TokenType.INTO,
    - 544        "IS": TokenType.IS,
    - 545        "ISNULL": TokenType.ISNULL,
    - 546        "JOIN": TokenType.JOIN,
    - 547        "LATERAL": TokenType.LATERAL,
    - 548        "LAZY": TokenType.LAZY,
    - 549        "LEADING": TokenType.LEADING,
    - 550        "LEFT": TokenType.LEFT,
    - 551        "LIKE": TokenType.LIKE,
    - 552        "LIMIT": TokenType.LIMIT,
    - 553        "LOAD DATA": TokenType.LOAD_DATA,
    - 554        "LOCAL": TokenType.LOCAL,
    - 555        "MATERIALIZED": TokenType.MATERIALIZED,
    - 556        "MERGE": TokenType.MERGE,
    - 557        "NATURAL": TokenType.NATURAL,
    - 558        "NEXT": TokenType.NEXT,
    - 559        "NO ACTION": TokenType.NO_ACTION,
    - 560        "NOT": TokenType.NOT,
    - 561        "NOTNULL": TokenType.NOTNULL,
    - 562        "NULL": TokenType.NULL,
    - 563        "NULLS FIRST": TokenType.NULLS_FIRST,
    - 564        "NULLS LAST": TokenType.NULLS_LAST,
    - 565        "OBJECT": TokenType.OBJECT,
    - 566        "OFFSET": TokenType.OFFSET,
    - 567        "ON": TokenType.ON,
    - 568        "ONLY": TokenType.ONLY,
    - 569        "OPTIONS": TokenType.OPTIONS,
    - 570        "OR": TokenType.OR,
    - 571        "ORDER BY": TokenType.ORDER_BY,
    - 572        "ORDINALITY": TokenType.ORDINALITY,
    - 573        "OUTER": TokenType.OUTER,
    - 574        "OUT OF": TokenType.OUT_OF,
    - 575        "OVER": TokenType.OVER,
    - 576        "OVERWRITE": TokenType.OVERWRITE,
    - 577        "PARTITION": TokenType.PARTITION,
    - 578        "PARTITION BY": TokenType.PARTITION_BY,
    - 579        "PARTITIONED BY": TokenType.PARTITION_BY,
    - 580        "PARTITIONED_BY": TokenType.PARTITION_BY,
    - 581        "PERCENT": TokenType.PERCENT,
    - 582        "PIVOT": TokenType.PIVOT,
    - 583        "PRECEDING": TokenType.PRECEDING,
    - 584        "PRIMARY KEY": TokenType.PRIMARY_KEY,
    - 585        "PROCEDURE": TokenType.PROCEDURE,
    - 586        "QUALIFY": TokenType.QUALIFY,
    - 587        "RANGE": TokenType.RANGE,
    - 588        "RECURSIVE": TokenType.RECURSIVE,
    - 589        "REGEXP": TokenType.RLIKE,
    - 590        "REPLACE": TokenType.REPLACE,
    - 591        "RESPECT NULLS": TokenType.RESPECT_NULLS,
    - 592        "REFERENCES": TokenType.REFERENCES,
    - 593        "RIGHT": TokenType.RIGHT,
    - 594        "RLIKE": TokenType.RLIKE,
    - 595        "ROLLBACK": TokenType.ROLLBACK,
    - 596        "ROLLUP": TokenType.ROLLUP,
    - 597        "ROW": TokenType.ROW,
    - 598        "ROWS": TokenType.ROWS,
    - 599        "SCHEMA": TokenType.SCHEMA,
    - 600        "SEED": TokenType.SEED,
    - 601        "SELECT": TokenType.SELECT,
    - 602        "SEMI": TokenType.SEMI,
    - 603        "SET": TokenType.SET,
    - 604        "SHOW": TokenType.SHOW,
    - 605        "SIMILAR TO": TokenType.SIMILAR_TO,
    - 606        "SOME": TokenType.SOME,
    - 607        "SORTKEY": TokenType.SORTKEY,
    - 608        "SORT BY": TokenType.SORT_BY,
    - 609        "TABLE": TokenType.TABLE,
    - 610        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
    - 611        "TEMP": TokenType.TEMPORARY,
    - 612        "TEMPORARY": TokenType.TEMPORARY,
    - 613        "THEN": TokenType.THEN,
    - 614        "TRUE": TokenType.TRUE,
    - 615        "TRAILING": TokenType.TRAILING,
    - 616        "UNBOUNDED": TokenType.UNBOUNDED,
    - 617        "UNION": TokenType.UNION,
    - 618        "UNLOGGED": TokenType.UNLOGGED,
    - 619        "UNNEST": TokenType.UNNEST,
    - 620        "UNPIVOT": TokenType.UNPIVOT,
    - 621        "UPDATE": TokenType.UPDATE,
    - 622        "USE": TokenType.USE,
    - 623        "USING": TokenType.USING,
    - 624        "VALUES": TokenType.VALUES,
    - 625        "VIEW": TokenType.VIEW,
    - 626        "VOLATILE": TokenType.VOLATILE,
    - 627        "WHEN": TokenType.WHEN,
    - 628        "WHERE": TokenType.WHERE,
    - 629        "WINDOW": TokenType.WINDOW,
    - 630        "WITH": TokenType.WITH,
    - 631        "WITH TIME ZONE": TokenType.WITH_TIME_ZONE,
    - 632        "WITH LOCAL TIME ZONE": TokenType.WITH_LOCAL_TIME_ZONE,
    - 633        "WITHIN GROUP": TokenType.WITHIN_GROUP,
    - 634        "WITHOUT TIME ZONE": TokenType.WITHOUT_TIME_ZONE,
    - 635        "APPLY": TokenType.APPLY,
    - 636        "ARRAY": TokenType.ARRAY,
    - 637        "BOOL": TokenType.BOOLEAN,
    - 638        "BOOLEAN": TokenType.BOOLEAN,
    - 639        "BYTE": TokenType.TINYINT,
    - 640        "TINYINT": TokenType.TINYINT,
    - 641        "SHORT": TokenType.SMALLINT,
    - 642        "SMALLINT": TokenType.SMALLINT,
    - 643        "INT2": TokenType.SMALLINT,
    - 644        "INTEGER": TokenType.INT,
    - 645        "INT": TokenType.INT,
    - 646        "INT4": TokenType.INT,
    - 647        "LONG": TokenType.BIGINT,
    - 648        "BIGINT": TokenType.BIGINT,
    - 649        "INT8": TokenType.BIGINT,
    - 650        "DECIMAL": TokenType.DECIMAL,
    - 651        "MAP": TokenType.MAP,
    - 652        "NULLABLE": TokenType.NULLABLE,
    - 653        "NUMBER": TokenType.DECIMAL,
    - 654        "NUMERIC": TokenType.DECIMAL,
    - 655        "FIXED": TokenType.DECIMAL,
    - 656        "REAL": TokenType.FLOAT,
    - 657        "FLOAT": TokenType.FLOAT,
    - 658        "FLOAT4": TokenType.FLOAT,
    - 659        "FLOAT8": TokenType.DOUBLE,
    - 660        "DOUBLE": TokenType.DOUBLE,
    - 661        "DOUBLE PRECISION": TokenType.DOUBLE,
    - 662        "JSON": TokenType.JSON,
    - 663        "CHAR": TokenType.CHAR,
    - 664        "NCHAR": TokenType.NCHAR,
    - 665        "VARCHAR": TokenType.VARCHAR,
    - 666        "VARCHAR2": TokenType.VARCHAR,
    - 667        "NVARCHAR": TokenType.NVARCHAR,
    - 668        "NVARCHAR2": TokenType.NVARCHAR,
    - 669        "STR": TokenType.TEXT,
    - 670        "STRING": TokenType.TEXT,
    - 671        "TEXT": TokenType.TEXT,
    - 672        "CLOB": TokenType.TEXT,
    - 673        "LONGVARCHAR": TokenType.TEXT,
    - 674        "BINARY": TokenType.BINARY,
    - 675        "BLOB": TokenType.VARBINARY,
    - 676        "BYTEA": TokenType.VARBINARY,
    - 677        "VARBINARY": TokenType.VARBINARY,
    - 678        "TIME": TokenType.TIME,
    - 679        "TIMESTAMP": TokenType.TIMESTAMP,
    - 680        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
    - 681        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
    - 682        "DATE": TokenType.DATE,
    - 683        "DATETIME": TokenType.DATETIME,
    - 684        "UNIQUE": TokenType.UNIQUE,
    - 685        "STRUCT": TokenType.STRUCT,
    - 686        "VARIANT": TokenType.VARIANT,
    - 687        "ALTER": TokenType.ALTER,
    - 688        "ALTER AGGREGATE": TokenType.COMMAND,
    - 689        "ALTER DEFAULT": TokenType.COMMAND,
    - 690        "ALTER DOMAIN": TokenType.COMMAND,
    - 691        "ALTER ROLE": TokenType.COMMAND,
    - 692        "ALTER RULE": TokenType.COMMAND,
    - 693        "ALTER SEQUENCE": TokenType.COMMAND,
    - 694        "ALTER TYPE": TokenType.COMMAND,
    - 695        "ALTER USER": TokenType.COMMAND,
    - 696        "ALTER VIEW": TokenType.COMMAND,
    - 697        "ANALYZE": TokenType.COMMAND,
    - 698        "CALL": TokenType.COMMAND,
    - 699        "COPY": TokenType.COMMAND,
    - 700        "EXPLAIN": TokenType.COMMAND,
    +            
     390class Tokenizer(metaclass=_Tokenizer):
    + 391    SINGLE_TOKENS = {
    + 392        "(": TokenType.L_PAREN,
    + 393        ")": TokenType.R_PAREN,
    + 394        "[": TokenType.L_BRACKET,
    + 395        "]": TokenType.R_BRACKET,
    + 396        "{": TokenType.L_BRACE,
    + 397        "}": TokenType.R_BRACE,
    + 398        "&": TokenType.AMP,
    + 399        "^": TokenType.CARET,
    + 400        ":": TokenType.COLON,
    + 401        ",": TokenType.COMMA,
    + 402        ".": TokenType.DOT,
    + 403        "-": TokenType.DASH,
    + 404        "=": TokenType.EQ,
    + 405        ">": TokenType.GT,
    + 406        "<": TokenType.LT,
    + 407        "%": TokenType.MOD,
    + 408        "!": TokenType.NOT,
    + 409        "|": TokenType.PIPE,
    + 410        "+": TokenType.PLUS,
    + 411        ";": TokenType.SEMICOLON,
    + 412        "/": TokenType.SLASH,
    + 413        "\\": TokenType.BACKSLASH,
    + 414        "*": TokenType.STAR,
    + 415        "~": TokenType.TILDA,
    + 416        "?": TokenType.PLACEHOLDER,
    + 417        "@": TokenType.PARAMETER,
    + 418        # used for breaking a var like x'y' but nothing else
    + 419        # the token type doesn't matter
    + 420        "'": TokenType.QUOTE,
    + 421        "`": TokenType.IDENTIFIER,
    + 422        '"': TokenType.IDENTIFIER,
    + 423        "#": TokenType.HASH,
    + 424    }
    + 425
    + 426    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
    + 427
    + 428    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
    + 429
    + 430    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
    + 431
    + 432    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
    + 433
    + 434    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
    + 435
    + 436    STRING_ESCAPES = ["'"]
    + 437
    + 438    _STRING_ESCAPES: t.Set[str] = set()
    + 439
    + 440    IDENTIFIER_ESCAPES = ['"']
    + 441
    + 442    _IDENTIFIER_ESCAPES: t.Set[str] = set()
    + 443
    + 444    KEYWORDS = {
    + 445        **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")},
    + 446        **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")},
    + 447        "{{+": TokenType.BLOCK_START,
    + 448        "{{-": TokenType.BLOCK_START,
    + 449        "+}}": TokenType.BLOCK_END,
    + 450        "-}}": TokenType.BLOCK_END,
    + 451        "/*+": TokenType.HINT,
    + 452        "==": TokenType.EQ,
    + 453        "::": TokenType.DCOLON,
    + 454        "||": TokenType.DPIPE,
    + 455        ">=": TokenType.GTE,
    + 456        "<=": TokenType.LTE,
    + 457        "<>": TokenType.NEQ,
    + 458        "!=": TokenType.NEQ,
    + 459        "<=>": TokenType.NULLSAFE_EQ,
    + 460        "->": TokenType.ARROW,
    + 461        "->>": TokenType.DARROW,
    + 462        "=>": TokenType.FARROW,
    + 463        "#>": TokenType.HASH_ARROW,
    + 464        "#>>": TokenType.DHASH_ARROW,
    + 465        "<->": TokenType.LR_ARROW,
    + 466        "ALL": TokenType.ALL,
    + 467        "ALWAYS": TokenType.ALWAYS,
    + 468        "AND": TokenType.AND,
    + 469        "ANTI": TokenType.ANTI,
    + 470        "ANY": TokenType.ANY,
    + 471        "ASC": TokenType.ASC,
    + 472        "AS": TokenType.ALIAS,
    + 473        "AT TIME ZONE": TokenType.AT_TIME_ZONE,
    + 474        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
    + 475        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
    + 476        "BEGIN": TokenType.BEGIN,
    + 477        "BETWEEN": TokenType.BETWEEN,
    + 478        "BOTH": TokenType.BOTH,
    + 479        "BUCKET": TokenType.BUCKET,
    + 480        "BY DEFAULT": TokenType.BY_DEFAULT,
    + 481        "CACHE": TokenType.CACHE,
    + 482        "UNCACHE": TokenType.UNCACHE,
    + 483        "CASE": TokenType.CASE,
    + 484        "CASCADE": TokenType.CASCADE,
    + 485        "CHARACTER SET": TokenType.CHARACTER_SET,
    + 486        "CLUSTER BY": TokenType.CLUSTER_BY,
    + 487        "COLLATE": TokenType.COLLATE,
    + 488        "COLUMN": TokenType.COLUMN,
    + 489        "COMMIT": TokenType.COMMIT,
    + 490        "COMPOUND": TokenType.COMPOUND,
    + 491        "CONSTRAINT": TokenType.CONSTRAINT,
    + 492        "CREATE": TokenType.CREATE,
    + 493        "CROSS": TokenType.CROSS,
    + 494        "CUBE": TokenType.CUBE,
    + 495        "CURRENT_DATE": TokenType.CURRENT_DATE,
    + 496        "CURRENT ROW": TokenType.CURRENT_ROW,
    + 497        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
    + 498        "DATABASE": TokenType.DATABASE,
    + 499        "DEFAULT": TokenType.DEFAULT,
    + 500        "DELETE": TokenType.DELETE,
    + 501        "DESC": TokenType.DESC,
    + 502        "DESCRIBE": TokenType.DESCRIBE,
    + 503        "DISTINCT": TokenType.DISTINCT,
    + 504        "DISTINCT FROM": TokenType.DISTINCT_FROM,
    + 505        "DISTRIBUTE BY": TokenType.DISTRIBUTE_BY,
    + 506        "DIV": TokenType.DIV,
    + 507        "DROP": TokenType.DROP,
    + 508        "ELSE": TokenType.ELSE,
    + 509        "END": TokenType.END,
    + 510        "ESCAPE": TokenType.ESCAPE,
    + 511        "EXCEPT": TokenType.EXCEPT,
    + 512        "EXECUTE": TokenType.EXECUTE,
    + 513        "EXISTS": TokenType.EXISTS,
    + 514        "FALSE": TokenType.FALSE,
    + 515        "FETCH": TokenType.FETCH,
    + 516        "FILTER": TokenType.FILTER,
    + 517        "FIRST": TokenType.FIRST,
    + 518        "FULL": TokenType.FULL,
    + 519        "FUNCTION": TokenType.FUNCTION,
    + 520        "FOLLOWING": TokenType.FOLLOWING,
    + 521        "FOR": TokenType.FOR,
    + 522        "FOREIGN KEY": TokenType.FOREIGN_KEY,
    + 523        "FORMAT": TokenType.FORMAT,
    + 524        "FROM": TokenType.FROM,
    + 525        "GLOB": TokenType.GLOB,
    + 526        "GROUP BY": TokenType.GROUP_BY,
    + 527        "GROUPING SETS": TokenType.GROUPING_SETS,
    + 528        "HAVING": TokenType.HAVING,
    + 529        "IF": TokenType.IF,
    + 530        "ILIKE": TokenType.ILIKE,
    + 531        "IGNORE NULLS": TokenType.IGNORE_NULLS,
    + 532        "IN": TokenType.IN,
    + 533        "INDEX": TokenType.INDEX,
    + 534        "INET": TokenType.INET,
    + 535        "INNER": TokenType.INNER,
    + 536        "INSERT": TokenType.INSERT,
    + 537        "INTERVAL": TokenType.INTERVAL,
    + 538        "INTERSECT": TokenType.INTERSECT,
    + 539        "INTO": TokenType.INTO,
    + 540        "IS": TokenType.IS,
    + 541        "ISNULL": TokenType.ISNULL,
    + 542        "JOIN": TokenType.JOIN,
    + 543        "LATERAL": TokenType.LATERAL,
    + 544        "LAZY": TokenType.LAZY,
    + 545        "LEADING": TokenType.LEADING,
    + 546        "LEFT": TokenType.LEFT,
    + 547        "LIKE": TokenType.LIKE,
    + 548        "LIMIT": TokenType.LIMIT,
    + 549        "LOAD DATA": TokenType.LOAD_DATA,
    + 550        "LOCAL": TokenType.LOCAL,
    + 551        "MATERIALIZED": TokenType.MATERIALIZED,
    + 552        "MERGE": TokenType.MERGE,
    + 553        "NATURAL": TokenType.NATURAL,
    + 554        "NEXT": TokenType.NEXT,
    + 555        "NO ACTION": TokenType.NO_ACTION,
    + 556        "NOT": TokenType.NOT,
    + 557        "NOTNULL": TokenType.NOTNULL,
    + 558        "NULL": TokenType.NULL,
    + 559        "NULLS FIRST": TokenType.NULLS_FIRST,
    + 560        "NULLS LAST": TokenType.NULLS_LAST,
    + 561        "OBJECT": TokenType.OBJECT,
    + 562        "OFFSET": TokenType.OFFSET,
    + 563        "ON": TokenType.ON,
    + 564        "ONLY": TokenType.ONLY,
    + 565        "OPTIONS": TokenType.OPTIONS,
    + 566        "OR": TokenType.OR,
    + 567        "ORDER BY": TokenType.ORDER_BY,
    + 568        "ORDINALITY": TokenType.ORDINALITY,
    + 569        "OUTER": TokenType.OUTER,
    + 570        "OUT OF": TokenType.OUT_OF,
    + 571        "OVER": TokenType.OVER,
    + 572        "OVERLAPS": TokenType.OVERLAPS,
    + 573        "OVERWRITE": TokenType.OVERWRITE,
    + 574        "PARTITION": TokenType.PARTITION,
    + 575        "PARTITION BY": TokenType.PARTITION_BY,
    + 576        "PARTITIONED BY": TokenType.PARTITION_BY,
    + 577        "PARTITIONED_BY": TokenType.PARTITION_BY,
    + 578        "PERCENT": TokenType.PERCENT,
    + 579        "PIVOT": TokenType.PIVOT,
    + 580        "PRECEDING": TokenType.PRECEDING,
    + 581        "PRIMARY KEY": TokenType.PRIMARY_KEY,
    + 582        "PROCEDURE": TokenType.PROCEDURE,
    + 583        "QUALIFY": TokenType.QUALIFY,
    + 584        "RANGE": TokenType.RANGE,
    + 585        "RECURSIVE": TokenType.RECURSIVE,
    + 586        "REGEXP": TokenType.RLIKE,
    + 587        "REPLACE": TokenType.REPLACE,
    + 588        "RESPECT NULLS": TokenType.RESPECT_NULLS,
    + 589        "REFERENCES": TokenType.REFERENCES,
    + 590        "RIGHT": TokenType.RIGHT,
    + 591        "RLIKE": TokenType.RLIKE,
    + 592        "ROLLBACK": TokenType.ROLLBACK,
    + 593        "ROLLUP": TokenType.ROLLUP,
    + 594        "ROW": TokenType.ROW,
    + 595        "ROWS": TokenType.ROWS,
    + 596        "SCHEMA": TokenType.SCHEMA,
    + 597        "SEED": TokenType.SEED,
    + 598        "SELECT": TokenType.SELECT,
    + 599        "SEMI": TokenType.SEMI,
    + 600        "SET": TokenType.SET,
    + 601        "SHOW": TokenType.SHOW,
    + 602        "SIMILAR TO": TokenType.SIMILAR_TO,
    + 603        "SOME": TokenType.SOME,
    + 604        "SORTKEY": TokenType.SORTKEY,
    + 605        "SORT BY": TokenType.SORT_BY,
    + 606        "TABLE": TokenType.TABLE,
    + 607        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
    + 608        "TEMP": TokenType.TEMPORARY,
    + 609        "TEMPORARY": TokenType.TEMPORARY,
    + 610        "THEN": TokenType.THEN,
    + 611        "TRUE": TokenType.TRUE,
    + 612        "TRAILING": TokenType.TRAILING,
    + 613        "UNBOUNDED": TokenType.UNBOUNDED,
    + 614        "UNION": TokenType.UNION,
    + 615        "UNLOGGED": TokenType.UNLOGGED,
    + 616        "UNNEST": TokenType.UNNEST,
    + 617        "UNPIVOT": TokenType.UNPIVOT,
    + 618        "UPDATE": TokenType.UPDATE,
    + 619        "USE": TokenType.USE,
    + 620        "USING": TokenType.USING,
    + 621        "VALUES": TokenType.VALUES,
    + 622        "VIEW": TokenType.VIEW,
    + 623        "VOLATILE": TokenType.VOLATILE,
    + 624        "WHEN": TokenType.WHEN,
    + 625        "WHERE": TokenType.WHERE,
    + 626        "WINDOW": TokenType.WINDOW,
    + 627        "WITH": TokenType.WITH,
    + 628        "WITH TIME ZONE": TokenType.WITH_TIME_ZONE,
    + 629        "WITH LOCAL TIME ZONE": TokenType.WITH_LOCAL_TIME_ZONE,
    + 630        "WITHIN GROUP": TokenType.WITHIN_GROUP,
    + 631        "WITHOUT TIME ZONE": TokenType.WITHOUT_TIME_ZONE,
    + 632        "APPLY": TokenType.APPLY,
    + 633        "ARRAY": TokenType.ARRAY,
    + 634        "BOOL": TokenType.BOOLEAN,
    + 635        "BOOLEAN": TokenType.BOOLEAN,
    + 636        "BYTE": TokenType.TINYINT,
    + 637        "TINYINT": TokenType.TINYINT,
    + 638        "SHORT": TokenType.SMALLINT,
    + 639        "SMALLINT": TokenType.SMALLINT,
    + 640        "INT2": TokenType.SMALLINT,
    + 641        "INTEGER": TokenType.INT,
    + 642        "INT": TokenType.INT,
    + 643        "INT4": TokenType.INT,
    + 644        "LONG": TokenType.BIGINT,
    + 645        "BIGINT": TokenType.BIGINT,
    + 646        "INT8": TokenType.BIGINT,
    + 647        "DECIMAL": TokenType.DECIMAL,
    + 648        "MAP": TokenType.MAP,
    + 649        "NULLABLE": TokenType.NULLABLE,
    + 650        "NUMBER": TokenType.DECIMAL,
    + 651        "NUMERIC": TokenType.DECIMAL,
    + 652        "FIXED": TokenType.DECIMAL,
    + 653        "REAL": TokenType.FLOAT,
    + 654        "FLOAT": TokenType.FLOAT,
    + 655        "FLOAT4": TokenType.FLOAT,
    + 656        "FLOAT8": TokenType.DOUBLE,
    + 657        "DOUBLE": TokenType.DOUBLE,
    + 658        "DOUBLE PRECISION": TokenType.DOUBLE,
    + 659        "JSON": TokenType.JSON,
    + 660        "CHAR": TokenType.CHAR,
    + 661        "CHARACTER": TokenType.CHAR,
    + 662        "NCHAR": TokenType.NCHAR,
    + 663        "VARCHAR": TokenType.VARCHAR,
    + 664        "VARCHAR2": TokenType.VARCHAR,
    + 665        "NVARCHAR": TokenType.NVARCHAR,
    + 666        "NVARCHAR2": TokenType.NVARCHAR,
    + 667        "STR": TokenType.TEXT,
    + 668        "STRING": TokenType.TEXT,
    + 669        "TEXT": TokenType.TEXT,
    + 670        "CLOB": TokenType.TEXT,
    + 671        "LONGVARCHAR": TokenType.TEXT,
    + 672        "BINARY": TokenType.BINARY,
    + 673        "BLOB": TokenType.VARBINARY,
    + 674        "BYTEA": TokenType.VARBINARY,
    + 675        "VARBINARY": TokenType.VARBINARY,
    + 676        "TIME": TokenType.TIME,
    + 677        "TIMESTAMP": TokenType.TIMESTAMP,
    + 678        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
    + 679        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
    + 680        "DATE": TokenType.DATE,
    + 681        "DATETIME": TokenType.DATETIME,
    + 682        "UNIQUE": TokenType.UNIQUE,
    + 683        "STRUCT": TokenType.STRUCT,
    + 684        "VARIANT": TokenType.VARIANT,
    + 685        "ALTER": TokenType.ALTER,
    + 686        "ALTER AGGREGATE": TokenType.COMMAND,
    + 687        "ALTER DEFAULT": TokenType.COMMAND,
    + 688        "ALTER DOMAIN": TokenType.COMMAND,
    + 689        "ALTER ROLE": TokenType.COMMAND,
    + 690        "ALTER RULE": TokenType.COMMAND,
    + 691        "ALTER SEQUENCE": TokenType.COMMAND,
    + 692        "ALTER TYPE": TokenType.COMMAND,
    + 693        "ALTER USER": TokenType.COMMAND,
    + 694        "ALTER VIEW": TokenType.COMMAND,
    + 695        "ANALYZE": TokenType.COMMAND,
    + 696        "CALL": TokenType.COMMAND,
    + 697        "COMMENT": TokenType.COMMENT,
    + 698        "COPY": TokenType.COMMAND,
    + 699        "EXPLAIN": TokenType.COMMAND,
    + 700        "GRANT": TokenType.COMMAND,
      701        "OPTIMIZE": TokenType.COMMAND,
      702        "PREPARE": TokenType.COMMAND,
      703        "TRUNCATE": TokenType.COMMAND,
    @@ -6329,7 +6374,7 @@
      726    NUMERIC_LITERALS: t.Dict[str, str] = {}
      727    ENCODE: t.Optional[str] = None
      728
    - 729    COMMENTS = ["--", ("/*", "*/")]
    + 729    COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")]
      730    KEYWORD_TRIE = None  # autofilled
      731
      732    IDENTIFIER_CAN_START_WITH_DIGIT = False
    diff --git a/sqlglot/__init__.py b/sqlglot/__init__.py
    index 87b36b0..d026627 100644
    --- a/sqlglot/__init__.py
    +++ b/sqlglot/__init__.py
    @@ -47,7 +47,7 @@ if t.TYPE_CHECKING:
         T = t.TypeVar("T", bound=Expression)
     
     
    -__version__ = "11.2.3"
    +__version__ = "11.3.0"
     
     pretty = False
     """Whether to format generated SQL by default."""
    diff --git a/sqlglot/dataframe/sql/column.py b/sqlglot/dataframe/sql/column.py
    index 609b2a4..f45d467 100644
    --- a/sqlglot/dataframe/sql/column.py
    +++ b/sqlglot/dataframe/sql/column.py
    @@ -67,10 +67,10 @@ class Column:
             return self.binary_op(exp.Mul, other)
     
         def __truediv__(self, other: ColumnOrLiteral) -> Column:
    -        return self.binary_op(exp.Div, other)
    +        return self.binary_op(exp.FloatDiv, other)
     
         def __div__(self, other: ColumnOrLiteral) -> Column:
    -        return self.binary_op(exp.Div, other)
    +        return self.binary_op(exp.FloatDiv, other)
     
         def __neg__(self) -> Column:
             return self.unary_op(exp.Neg)
    @@ -85,10 +85,10 @@ class Column:
             return self.inverse_binary_op(exp.Mul, other)
     
         def __rdiv__(self, other: ColumnOrLiteral) -> Column:
    -        return self.inverse_binary_op(exp.Div, other)
    +        return self.inverse_binary_op(exp.FloatDiv, other)
     
         def __rtruediv__(self, other: ColumnOrLiteral) -> Column:
    -        return self.inverse_binary_op(exp.Div, other)
    +        return self.inverse_binary_op(exp.FloatDiv, other)
     
         def __rmod__(self, other: ColumnOrLiteral) -> Column:
             return self.inverse_binary_op(exp.Mod, other)
    diff --git a/sqlglot/dataframe/sql/dataframe.py b/sqlglot/dataframe/sql/dataframe.py
    index 93ca45a..32ee927 100644
    --- a/sqlglot/dataframe/sql/dataframe.py
    +++ b/sqlglot/dataframe/sql/dataframe.py
    @@ -260,7 +260,7 @@ class DataFrame:
         @classmethod
         def _get_outer_select_columns(cls, item: t.Union[exp.Expression, DataFrame]) -> t.List[Column]:
             expression = item.expression if isinstance(item, DataFrame) else item
    -        return [Column(x) for x in expression.find(exp.Select).expressions]
    +        return [Column(x) for x in (expression.find(exp.Select) or exp.Select()).expressions]
     
         @classmethod
         def _create_hash_from_expression(cls, expression: exp.Select):
    diff --git a/sqlglot/dataframe/sql/functions.py b/sqlglot/dataframe/sql/functions.py
    index 8f24746..3c98f42 100644
    --- a/sqlglot/dataframe/sql/functions.py
    +++ b/sqlglot/dataframe/sql/functions.py
    @@ -954,10 +954,12 @@ def array_join(
         col: ColumnOrName, delimiter: str, null_replacement: t.Optional[str] = None
     ) -> Column:
         if null_replacement is not None:
    -        return Column.invoke_anonymous_function(
    -            col, "ARRAY_JOIN", lit(delimiter), lit(null_replacement)
    +        return Column.invoke_expression_over_column(
    +            col, expression.ArrayJoin, expression=lit(delimiter), null=lit(null_replacement)
             )
    -    return Column.invoke_anonymous_function(col, "ARRAY_JOIN", lit(delimiter))
    +    return Column.invoke_expression_over_column(
    +        col, expression.ArrayJoin, expression=lit(delimiter)
    +    )
     
     
     def concat(*cols: ColumnOrName) -> Column:
    diff --git a/sqlglot/dialects/bigquery.py b/sqlglot/dialects/bigquery.py
    index 32b5147..a3869c6 100644
    --- a/sqlglot/dialects/bigquery.py
    +++ b/sqlglot/dialects/bigquery.py
    @@ -213,7 +213,11 @@ class BigQuery(Dialect):
                 ),
             }
     
    +        INTEGER_DIVISION = False
    +
         class Generator(generator.Generator):
    +        INTEGER_DIVISION = False
    +
             TRANSFORMS = {
                 **generator.Generator.TRANSFORMS,  # type: ignore
                 **transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES,  # type: ignore
    diff --git a/sqlglot/dialects/clickhouse.py b/sqlglot/dialects/clickhouse.py
    index b553df2..a78d4db 100644
    --- a/sqlglot/dialects/clickhouse.py
    +++ b/sqlglot/dialects/clickhouse.py
    @@ -56,6 +56,8 @@ class ClickHouse(Dialect):
     
             TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {TokenType.ANY}  # type: ignore
     
    +        INTEGER_DIVISION = False
    +
             def _parse_in(
                 self, this: t.Optional[exp.Expression], is_global: bool = False
             ) -> exp.Expression:
    @@ -94,6 +96,7 @@ class ClickHouse(Dialect):
     
         class Generator(generator.Generator):
             STRUCT_DELIMITER = ("(", ")")
    +        INTEGER_DIVISION = False
     
             TYPE_MAPPING = {
                 **generator.Generator.TYPE_MAPPING,  # type: ignore
    diff --git a/sqlglot/dialects/dialect.py b/sqlglot/dialects/dialect.py
    index af36256..6939705 100644
    --- a/sqlglot/dialects/dialect.py
    +++ b/sqlglot/dialects/dialect.py
    @@ -360,10 +360,9 @@ def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
         if has_schema and is_partitionable:
             expression = expression.copy()
             prop = expression.find(exp.PartitionedByProperty)
    -        this = prop and prop.this
    -        if prop and not isinstance(this, exp.Schema):
    +        if prop and prop.this and not isinstance(prop.this, exp.Schema):
                 schema = expression.this
    -            columns = {v.name.upper() for v in this.expressions}
    +            columns = {v.name.upper() for v in prop.this.expressions}
                 partitions = [col for col in schema.expressions if col.name.upper() in columns]
                 schema.set("expressions", [e for e in schema.expressions if e not in partitions])
                 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
    diff --git a/sqlglot/dialects/duckdb.py b/sqlglot/dialects/duckdb.py
    index 6144101..c2755cd 100644
    --- a/sqlglot/dialects/duckdb.py
    +++ b/sqlglot/dialects/duckdb.py
    @@ -83,6 +83,7 @@ class DuckDB(Dialect):
                 ":=": TokenType.EQ,
                 "ATTACH": TokenType.COMMAND,
                 "CHARACTER VARYING": TokenType.VARCHAR,
    +            "EXCLUDE": TokenType.EXCEPT,
             }
     
         class Parser(parser.Parser):
    @@ -173,3 +174,8 @@ class DuckDB(Dialect):
                 exp.DataType.Type.VARCHAR: "TEXT",
                 exp.DataType.Type.NVARCHAR: "TEXT",
             }
    +
    +        STAR_MAPPING = {
    +            **generator.Generator.STAR_MAPPING,
    +            "except": "EXCLUDE",
    +        }
    diff --git a/sqlglot/dialects/hive.py b/sqlglot/dialects/hive.py
    index ea1191e..44cd875 100644
    --- a/sqlglot/dialects/hive.py
    +++ b/sqlglot/dialects/hive.py
    @@ -256,7 +256,11 @@ class Hive(Dialect):
                 ),
             }
     
    +        INTEGER_DIVISION = False
    +
         class Generator(generator.Generator):
    +        INTEGER_DIVISION = False
    +
             TYPE_MAPPING = {
                 **generator.Generator.TYPE_MAPPING,  # type: ignore
                 exp.DataType.Type.TEXT: "STRING",
    diff --git a/sqlglot/dialects/mysql.py b/sqlglot/dialects/mysql.py
    index 836bf3c..b1e20bd 100644
    --- a/sqlglot/dialects/mysql.py
    +++ b/sqlglot/dialects/mysql.py
    @@ -300,6 +300,8 @@ class MySQL(Dialect):
                 "READ ONLY",
             }
     
    +        INTEGER_DIVISION = False
    +
             def _parse_show_mysql(self, this, target=False, full=None, global_=None):
                 if target:
                     if isinstance(target, str):
    @@ -432,6 +434,7 @@ class MySQL(Dialect):
         class Generator(generator.Generator):
             LOCKING_READS_SUPPORTED = True
             NULL_ORDERING_SUPPORTED = False
    +        INTEGER_DIVISION = False
     
             TRANSFORMS = {
                 **generator.Generator.TRANSFORMS,  # type: ignore
    diff --git a/sqlglot/dialects/oracle.py b/sqlglot/dialects/oracle.py
    index 74baa8a..795bbeb 100644
    --- a/sqlglot/dialects/oracle.py
    +++ b/sqlglot/dialects/oracle.py
    @@ -82,8 +82,17 @@ class Oracle(Dialect):
                 "XMLTABLE": _parse_xml_table,
             }
     
    +        INTEGER_DIVISION = False
    +
    +        def _parse_column(self) -> t.Optional[exp.Expression]:
    +            column = super()._parse_column()
    +            if column:
    +                column.set("join_mark", self._match(TokenType.JOIN_MARKER))
    +            return column
    +
         class Generator(generator.Generator):
             LOCKING_READS_SUPPORTED = True
    +        INTEGER_DIVISION = False
     
             TYPE_MAPPING = {
                 **generator.Generator.TYPE_MAPPING,  # type: ignore
    @@ -108,6 +117,8 @@ class Oracle(Dialect):
                 exp.Trim: trim_sql,
                 exp.Matches: rename_func("DECODE"),
                 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    +            exp.Subquery: lambda self, e: self.subquery_sql(e, sep=" "),
    +            exp.Table: lambda self, e: self.table_sql(e, sep=" "),
                 exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
                 exp.UnixToTime: lambda self, e: f"TO_DATE('1970-01-01','YYYY-MM-DD') + ({self.sql(e, 'this')} / 86400)",
                 exp.Substring: rename_func("SUBSTR"),
    @@ -139,8 +150,9 @@ class Oracle(Dialect):
             def offset_sql(self, expression: exp.Offset) -> str:
                 return f"{super().offset_sql(expression)} ROWS"
     
    -        def table_sql(self, expression: exp.Table, sep: str = " ") -> str:
    -            return super().table_sql(expression, sep=sep)
    +        def column_sql(self, expression: exp.Column) -> str:
    +            column = super().column_sql(expression)
    +            return f"{column} (+)" if expression.args.get("join_mark") else column
     
             def xmltable_sql(self, expression: exp.XMLTable) -> str:
                 this = self.sql(expression, "this")
    @@ -156,6 +168,7 @@ class Oracle(Dialect):
         class Tokenizer(tokens.Tokenizer):
             KEYWORDS = {
                 **tokens.Tokenizer.KEYWORDS,
    +            "(+)": TokenType.JOIN_MARKER,
                 "COLUMNS": TokenType.COLUMN,
                 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
                 "MINUS": TokenType.EXCEPT,
    diff --git a/sqlglot/dialects/postgres.py b/sqlglot/dialects/postgres.py
    index 3507cb5..35076db 100644
    --- a/sqlglot/dialects/postgres.py
    +++ b/sqlglot/dialects/postgres.py
    @@ -222,10 +222,8 @@ class Postgres(Dialect):
                 "BEGIN TRANSACTION": TokenType.BEGIN,
                 "BIGSERIAL": TokenType.BIGSERIAL,
                 "CHARACTER VARYING": TokenType.VARCHAR,
    -            "COMMENT ON": TokenType.COMMAND,
                 "DECLARE": TokenType.COMMAND,
                 "DO": TokenType.COMMAND,
    -            "GRANT": TokenType.COMMAND,
                 "HSTORE": TokenType.HSTORE,
                 "JSONB": TokenType.JSONB,
                 "REFRESH": TokenType.COMMAND,
    @@ -260,10 +258,7 @@ class Postgres(Dialect):
                 TokenType.HASH: exp.BitwiseXor,
             }
     
    -        FACTOR = {
    -            **parser.Parser.FACTOR,  # type: ignore
    -            TokenType.CARET: exp.Pow,
    -        }
    +        FACTOR = {**parser.Parser.FACTOR, TokenType.CARET: exp.Pow}
     
         class Generator(generator.Generator):
             LOCKING_READS_SUPPORTED = True
    diff --git a/sqlglot/dialects/snowflake.py b/sqlglot/dialects/snowflake.py
    index 5931364..4a090c2 100644
    --- a/sqlglot/dialects/snowflake.py
    +++ b/sqlglot/dialects/snowflake.py
    @@ -1,5 +1,7 @@
     from __future__ import annotations
     
    +import typing as t
    +
     from sqlglot import exp, generator, parser, tokens
     from sqlglot.dialects.dialect import (
         Dialect,
    @@ -104,6 +106,20 @@ def _parse_date_part(self):
         return self.expression(exp.Extract, this=this, expression=expression)
     
     
    +# https://docs.snowflake.com/en/sql-reference/functions/div0
    +def _div0_to_if(args):
    +    cond = exp.EQ(this=seq_get(args, 1), expression=exp.Literal.number(0))
    +    true = exp.Literal.number(0)
    +    false = exp.FloatDiv(this=seq_get(args, 0), expression=seq_get(args, 1))
    +    return exp.If(this=cond, true=true, false=false)
    +
    +
    +# https://docs.snowflake.com/en/sql-reference/functions/zeroifnull
    +def _zeroifnull_to_if(args):
    +    cond = exp.EQ(this=seq_get(args, 0), expression=exp.Null())
    +    return exp.If(this=cond, true=exp.Literal.number(0), false=seq_get(args, 0))
    +
    +
     def _datatype_sql(self, expression):
         if expression.this == exp.DataType.Type.ARRAY:
             return "ARRAY"
    @@ -150,16 +166,20 @@ class Snowflake(Dialect):
             FUNCTIONS = {
                 **parser.Parser.FUNCTIONS,
                 "ARRAYAGG": exp.ArrayAgg.from_arg_list,
    +            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
                 "DATE_TRUNC": lambda args: exp.DateTrunc(
                     unit=exp.Literal.string(seq_get(args, 0).name),  # type: ignore
                     this=seq_get(args, 1),
                 ),
    +            "DIV0": _div0_to_if,
                 "IFF": exp.If.from_arg_list,
    +            "TO_ARRAY": exp.Array.from_arg_list,
                 "TO_TIMESTAMP": _snowflake_to_timestamp,
                 "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
                 "RLIKE": exp.RegexpLike.from_arg_list,
                 "DECODE": exp.Matches.from_arg_list,
                 "OBJECT_CONSTRUCT": parser.parse_var_map,
    +            "ZEROIFNULL": _zeroifnull_to_if,
             }
     
             FUNCTION_PARSERS = {
    @@ -193,6 +213,19 @@ class Snowflake(Dialect):
                 ),
             }
     
    +        ALTER_PARSERS = {
    +            **parser.Parser.ALTER_PARSERS,  # type: ignore
    +            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
    +            "SET": lambda self: self._parse_alter_table_set_tag(),
    +        }
    +
    +        INTEGER_DIVISION = False
    +
    +        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
    +            self._match_text_seq("TAG")
    +            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
    +            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
    +
         class Tokenizer(tokens.Tokenizer):
             QUOTES = ["'", "$$"]
             STRING_ESCAPES = ["\\", "'"]
    @@ -220,12 +253,14 @@ class Snowflake(Dialect):
     
         class Generator(generator.Generator):
             PARAMETER_TOKEN = "$"
    +        INTEGER_DIVISION = False
     
             TRANSFORMS = {
                 **generator.Generator.TRANSFORMS,  # type: ignore
                 exp.Array: inline_array_sql,
                 exp.ArrayConcat: rename_func("ARRAY_CAT"),
    -            exp.DateAdd: rename_func("DATEADD"),
    +            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
    +            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
                 exp.DateStrToDate: datestrtodate_sql,
                 exp.DataType: _datatype_sql,
                 exp.If: rename_func("IFF"),
    @@ -294,6 +329,10 @@ class Snowflake(Dialect):
                     return self.no_identify(lambda: super(self.__class__, self).values_sql(expression))
                 return super().values_sql(expression)
     
    +        def settag_sql(self, expression: exp.SetTag) -> str:
    +            action = "UNSET" if expression.args.get("unset") else "SET"
    +            return f"{action} TAG {self.expressions(expression)}"
    +
             def select_sql(self, expression: exp.Select) -> str:
                 """Due to a bug in Snowflake we want to make sure that all columns in a VALUES table alias are unquoted and also
                 that all columns in a SELECT are unquoted. We also want to make sure that after we find matches where we need
    diff --git a/sqlglot/dialects/teradata.py b/sqlglot/dialects/teradata.py
    index 7953bc5..415681c 100644
    --- a/sqlglot/dialects/teradata.py
    +++ b/sqlglot/dialects/teradata.py
    @@ -74,6 +74,7 @@ class Teradata(Dialect):
     
             FUNCTION_PARSERS = {
                 **parser.Parser.FUNCTION_PARSERS,  # type: ignore
    +            "RANGE_N": lambda self: self._parse_rangen(),
                 "TRANSLATE": lambda self: self._parse_translate(self.STRICT_CAST),
             }
     
    @@ -105,6 +106,15 @@ class Teradata(Dialect):
                     },
                 )
     
    +        def _parse_rangen(self):
    +            this = self._parse_id_var()
    +            self._match(TokenType.BETWEEN)
    +
    +            expressions = self._parse_csv(self._parse_conjunction)
    +            each = self._match_text_seq("EACH") and self._parse_conjunction()
    +
    +            return self.expression(exp.RangeN, this=this, expressions=expressions, each=each)
    +
         class Generator(generator.Generator):
             TYPE_MAPPING = {
                 **generator.Generator.TYPE_MAPPING,  # type: ignore
    @@ -114,7 +124,6 @@ class Teradata(Dialect):
             PROPERTIES_LOCATION = {
                 **generator.Generator.PROPERTIES_LOCATION,  # type: ignore
                 exp.PartitionedByProperty: exp.Properties.Location.POST_INDEX,
    -            exp.VolatilityProperty: exp.Properties.Location.POST_CREATE,
             }
     
             def partitionedbyproperty_sql(self, expression: exp.PartitionedByProperty) -> str:
    @@ -137,3 +146,11 @@ class Teradata(Dialect):
                 type_sql = super().datatype_sql(expression)
                 prefix_sql = expression.args.get("prefix")
                 return f"SYSUDTLIB.{type_sql}" if prefix_sql else type_sql
    +
    +        def rangen_sql(self, expression: exp.RangeN) -> str:
    +            this = self.sql(expression, "this")
    +            expressions_sql = self.expressions(expression)
    +            each_sql = self.sql(expression, "each")
    +            each_sql = f" EACH {each_sql}" if each_sql else ""
    +
    +            return f"RANGE_N({this} BETWEEN {expressions_sql}{each_sql})"
    diff --git a/sqlglot/expressions.py b/sqlglot/expressions.py
    index 59881d6..00a3b45 100644
    --- a/sqlglot/expressions.py
    +++ b/sqlglot/expressions.py
    @@ -35,6 +35,8 @@ from sqlglot.tokens import Token
     if t.TYPE_CHECKING:
         from sqlglot.dialects.dialect import DialectType
     
    +E = t.TypeVar("E", bound="Expression")
    +
     
     class _Expression(type):
         def __new__(cls, clsname, bases, attrs):
    @@ -293,7 +295,7 @@ class Expression(metaclass=_Expression):
                 return self.parent.depth + 1
             return 0
     
    -    def find(self, *expression_types, bfs=True):
    +    def find(self, *expression_types: t.Type[E], bfs=True) -> E | None:
             """
             Returns the first node in this tree which matches at least one of
             the specified types.
    @@ -306,7 +308,7 @@ class Expression(metaclass=_Expression):
             """
             return next(self.find_all(*expression_types, bfs=bfs), None)
     
    -    def find_all(self, *expression_types, bfs=True):
    +    def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]:
             """
             Returns a generator object which visits all nodes in this tree and only
             yields those that match at least one of the specified expression types.
    @@ -321,7 +323,7 @@ class Expression(metaclass=_Expression):
                 if isinstance(expression, expression_types):
                     yield expression
     
    -    def find_ancestor(self, *expression_types):
    +    def find_ancestor(self, *expression_types: t.Type[E]) -> E | None:
             """
             Returns a nearest parent matching expression_types.
     
    @@ -334,7 +336,8 @@ class Expression(metaclass=_Expression):
             ancestor = self.parent
             while ancestor and not isinstance(ancestor, expression_types):
                 ancestor = ancestor.parent
    -        return ancestor
    +        # ignore type because mypy doesn't know that we're checking type in the loop
    +        return ancestor  # type: ignore[return-value]
     
         @property
         def parent_select(self):
    @@ -794,6 +797,7 @@ class Create(Expression):
             "properties": False,
             "replace": False,
             "unique": False,
    +        "volatile": False,
             "indexes": False,
             "no_schema_binding": False,
             "begin": False,
    @@ -883,7 +887,7 @@ class ByteString(Condition):
     
     
     class Column(Condition):
    -    arg_types = {"this": True, "table": False, "db": False, "catalog": False}
    +    arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False}
     
         @property
         def table(self) -> str:
    @@ -926,6 +930,14 @@ class RenameTable(Expression):
         pass
     
     
    +class SetTag(Expression):
    +    arg_types = {"expressions": True, "unset": False}
    +
    +
    +class Comment(Expression):
    +    arg_types = {"this": True, "kind": True, "expression": True, "exists": False}
    +
    +
     class ColumnConstraint(Expression):
         arg_types = {"this": False, "kind": True}
     
    @@ -2829,6 +2841,14 @@ class Div(Binary):
         pass
     
     
    +class FloatDiv(Binary):
    +    pass
    +
    +
    +class Overlaps(Binary):
    +    pass
    +
    +
     class Dot(Binary):
         @property
         def name(self) -> str:
    @@ -3125,6 +3145,10 @@ class ArrayFilter(Func):
         _sql_names = ["FILTER", "ARRAY_FILTER"]
     
     
    +class ArrayJoin(Func):
    +    arg_types = {"this": True, "expression": True, "null": False}
    +
    +
     class ArraySize(Func):
         arg_types = {"this": True, "expression": False}
     
    @@ -3510,6 +3534,10 @@ class ApproxQuantile(Quantile):
         arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
     
     
    +class RangeN(Func):
    +    arg_types = {"this": True, "expressions": True, "each": False}
    +
    +
     class ReadCSV(Func):
         _sql_names = ["READ_CSV"]
         is_var_len_args = True
    diff --git a/sqlglot/generator.py b/sqlglot/generator.py
    index 0a7a81f..79501ef 100644
    --- a/sqlglot/generator.py
    +++ b/sqlglot/generator.py
    @@ -109,6 +109,9 @@ class Generator:
         # Whether or not create function uses an AS before the RETURN
         CREATE_FUNCTION_RETURN_AS = True
     
    +    # Whether or not to treat the division operator "/" as integer division
    +    INTEGER_DIVISION = True
    +
         TYPE_MAPPING = {
             exp.DataType.Type.NCHAR: "CHAR",
             exp.DataType.Type.NVARCHAR: "VARCHAR",
    @@ -550,14 +553,17 @@ class Generator:
                     else:
                         expression_sql = f" AS{expression_sql}"
     
    -        replace = " OR REPLACE" if expression.args.get("replace") else ""
    -        unique = " UNIQUE" if expression.args.get("unique") else ""
    -        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
    +        postindex_props_sql = ""
    +        if properties_locs.get(exp.Properties.Location.POST_INDEX):
    +            postindex_props_sql = self.properties(
    +                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
    +                wrapped=False,
    +                prefix=" ",
    +            )
     
             indexes = expression.args.get("indexes")
    -        index_sql = ""
             if indexes:
    -            indexes_sql = []
    +            indexes_sql: t.List[str] = []
                 for index in indexes:
                     ind_unique = " UNIQUE" if index.args.get("unique") else ""
                     ind_primary = " PRIMARY" if index.args.get("primary") else ""
    @@ -568,21 +574,24 @@ class Generator:
                         if index.args.get("columns")
                         else ""
                     )
    -                if index.args.get("primary") and properties_locs.get(
    -                    exp.Properties.Location.POST_INDEX
    -                ):
    -                    postindex_props_sql = self.properties(
    -                        exp.Properties(
    -                            expressions=properties_locs[exp.Properties.Location.POST_INDEX]
    -                        ),
    -                        wrapped=False,
    +                ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}"
    +
    +                if indexes_sql:
    +                    indexes_sql.append(ind_sql)
    +                else:
    +                    indexes_sql.append(
    +                        f"{ind_sql}{postindex_props_sql}"
    +                        if index.args.get("primary")
    +                        else f"{postindex_props_sql}{ind_sql}"
                         )
    -                    ind_columns = f"{ind_columns} {postindex_props_sql}"
     
    -                indexes_sql.append(
    -                    f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}"
    -                )
                 index_sql = "".join(indexes_sql)
    +        else:
    +            index_sql = postindex_props_sql
    +
    +        replace = " OR REPLACE" if expression.args.get("replace") else ""
    +        unique = " UNIQUE" if expression.args.get("unique") else ""
    +        volatile = " VOLATILE" if expression.args.get("volatile") else ""
     
             postcreate_props_sql = ""
             if properties_locs.get(exp.Properties.Location.POST_CREATE):
    @@ -593,7 +602,7 @@ class Generator:
                     wrapped=False,
                 )
     
    -        modifiers = "".join((replace, unique, postcreate_props_sql))
    +        modifiers = "".join((replace, unique, volatile, postcreate_props_sql))
     
             postexpression_props_sql = ""
             if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
    @@ -606,6 +615,7 @@ class Generator:
                     wrapped=False,
                 )
     
    +        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
             no_schema_binding = (
                 " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
             )
    @@ -1335,14 +1345,15 @@ class Generator:
         def placeholder_sql(self, expression: exp.Placeholder) -> str:
             return f":{expression.name}" if expression.name else "?"
     
    -    def subquery_sql(self, expression: exp.Subquery) -> str:
    +    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
             alias = self.sql(expression, "alias")
    +        alias = f"{sep}{alias}" if alias else ""
     
             sql = self.query_modifiers(
                 expression,
                 self.wrap(expression),
                 self.expressions(expression, key="pivots", sep=" "),
    -            f" AS {alias}" if alias else "",
    +            alias,
             )
     
             return self.prepend_ctes(expression, sql)
    @@ -1643,6 +1654,13 @@ class Generator:
         def command_sql(self, expression: exp.Command) -> str:
             return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
     
    +    def comment_sql(self, expression: exp.Comment) -> str:
    +        this = self.sql(expression, "this")
    +        kind = expression.args["kind"]
    +        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
    +        expression_sql = self.sql(expression, "expression")
    +        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
    +
         def transaction_sql(self, *_) -> str:
             return "BEGIN"
     
    @@ -1728,19 +1746,30 @@ class Generator:
             return f"{self.sql(expression, 'this')} RESPECT NULLS"
     
         def intdiv_sql(self, expression: exp.IntDiv) -> str:
    -        return self.sql(
    -            exp.Cast(
    -                this=exp.Div(this=expression.this, expression=expression.expression),
    -                to=exp.DataType(this=exp.DataType.Type.INT),
    -            )
    -        )
    +        div = self.binary(expression, "/")
    +        return self.sql(exp.Cast(this=div, to=exp.DataType.build("INT")))
     
         def dpipe_sql(self, expression: exp.DPipe) -> str:
             return self.binary(expression, "||")
     
         def div_sql(self, expression: exp.Div) -> str:
    +        div = self.binary(expression, "/")
    +
    +        if not self.INTEGER_DIVISION:
    +            return self.sql(exp.Cast(this=div, to=exp.DataType.build("INT")))
    +
    +        return div
    +
    +    def floatdiv_sql(self, expression: exp.FloatDiv) -> str:
    +        if self.INTEGER_DIVISION:
    +            this = exp.Cast(this=expression.this, to=exp.DataType.build("DOUBLE"))
    +            return self.div_sql(exp.Div(this=this, expression=expression.expression))
    +
             return self.binary(expression, "/")
     
    +    def overlaps_sql(self, expression: exp.Overlaps) -> str:
    +        return self.binary(expression, "OVERLAPS")
    +
         def distance_sql(self, expression: exp.Distance) -> str:
             return self.binary(expression, "<->")
     
    diff --git a/sqlglot/optimizer/merge_subqueries.py b/sqlglot/optimizer/merge_subqueries.py
    index 16aaf17..70172f4 100644
    --- a/sqlglot/optimizer/merge_subqueries.py
    +++ b/sqlglot/optimizer/merge_subqueries.py
    @@ -314,13 +314,27 @@ def _merge_where(outer_scope, inner_scope, from_or_join):
         if not where or not where.this:
             return
     
    +    expression = outer_scope.expression
    +
         if isinstance(from_or_join, exp.Join):
             # Merge predicates from an outer join to the ON clause
    -        from_or_join.on(where.this, copy=False)
    -        from_or_join.set("on", simplify(from_or_join.args.get("on")))
    -    else:
    -        outer_scope.expression.where(where.this, copy=False)
    -        outer_scope.expression.set("where", simplify(outer_scope.expression.args.get("where")))
    +        # if it only has columns that are already joined
    +        from_ = expression.args.get("from")
    +        sources = {table.alias_or_name for table in from_.expressions} if from_ else {}
    +
    +        for join in expression.args["joins"]:
    +            source = join.alias_or_name
    +            sources.add(source)
    +            if source == from_or_join.alias_or_name:
    +                break
    +
    +        if set(exp.column_table_names(where.this)) <= sources:
    +            from_or_join.on(where.this, copy=False)
    +            from_or_join.set("on", simplify(from_or_join.args.get("on")))
    +            return
    +
    +    expression.where(where.this, copy=False)
    +    expression.set("where", simplify(expression.args.get("where")))
     
     
     def _merge_order(outer_scope, inner_scope):
    diff --git a/sqlglot/optimizer/pushdown_projections.py b/sqlglot/optimizer/pushdown_projections.py
    index 3f360f9..07a1b70 100644
    --- a/sqlglot/optimizer/pushdown_projections.py
    +++ b/sqlglot/optimizer/pushdown_projections.py
    @@ -13,7 +13,7 @@ SELECT_ALL = object()
     DEFAULT_SELECTION = lambda: alias("1", "_")
     
     
    -def pushdown_projections(expression, schema=None):
    +def pushdown_projections(expression, schema=None, remove_unused_selections=True):
         """
         Rewrite sqlglot AST to remove unused columns projections.
     
    @@ -26,6 +26,7 @@ def pushdown_projections(expression, schema=None):
     
         Args:
             expression (sqlglot.Expression): expression to optimize
    +        remove_unused_selections (bool): remove selects that are unused
         Returns:
             sqlglot.Expression: optimized expression
         """
    @@ -57,7 +58,8 @@ def pushdown_projections(expression, schema=None):
                     ]
     
             if isinstance(scope.expression, exp.Select):
    -            _remove_unused_selections(scope, parent_selections, schema)
    +            if remove_unused_selections:
    +                _remove_unused_selections(scope, parent_selections, schema)
     
                 # Group columns by source name
                 selects = defaultdict(set)
    diff --git a/sqlglot/parser.py b/sqlglot/parser.py
    index 9f32765..f39bb39 100644
    --- a/sqlglot/parser.py
    +++ b/sqlglot/parser.py
    @@ -36,6 +36,10 @@ class _Parser(type):
             klass = super().__new__(cls, clsname, bases, attrs)
             klass._show_trie = new_trie(key.split(" ") for key in klass.SHOW_PARSERS)
             klass._set_trie = new_trie(key.split(" ") for key in klass.SET_PARSERS)
    +
    +        if not klass.INTEGER_DIVISION:
    +            klass.FACTOR = {**klass.FACTOR, TokenType.SLASH: exp.FloatDiv}
    +
             return klass
     
     
    @@ -157,6 +161,21 @@ class Parser(metaclass=_Parser):
     
         RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT}
     
    +    DB_CREATABLES = {
    +        TokenType.DATABASE,
    +        TokenType.SCHEMA,
    +        TokenType.TABLE,
    +        TokenType.VIEW,
    +    }
    +
    +    CREATABLES = {
    +        TokenType.COLUMN,
    +        TokenType.FUNCTION,
    +        TokenType.INDEX,
    +        TokenType.PROCEDURE,
    +        *DB_CREATABLES,
    +    }
    +
         ID_VAR_TOKENS = {
             TokenType.VAR,
             TokenType.ANTI,
    @@ -168,8 +187,8 @@ class Parser(metaclass=_Parser):
             TokenType.CACHE,
             TokenType.CASCADE,
             TokenType.COLLATE,
    -        TokenType.COLUMN,
             TokenType.COMMAND,
    +        TokenType.COMMENT,
             TokenType.COMMIT,
             TokenType.COMPOUND,
             TokenType.CONSTRAINT,
    @@ -186,9 +205,7 @@ class Parser(metaclass=_Parser):
             TokenType.FILTER,
             TokenType.FOLLOWING,
             TokenType.FORMAT,
    -        TokenType.FUNCTION,
             TokenType.IF,
    -        TokenType.INDEX,
             TokenType.ISNULL,
             TokenType.INTERVAL,
             TokenType.LAZY,
    @@ -211,13 +228,11 @@ class Parser(metaclass=_Parser):
             TokenType.RIGHT,
             TokenType.ROW,
             TokenType.ROWS,
    -        TokenType.SCHEMA,
             TokenType.SEED,
             TokenType.SEMI,
             TokenType.SET,
             TokenType.SHOW,
             TokenType.SORTKEY,
    -        TokenType.TABLE,
             TokenType.TEMPORARY,
             TokenType.TOP,
             TokenType.TRAILING,
    @@ -226,10 +241,9 @@ class Parser(metaclass=_Parser):
             TokenType.UNIQUE,
             TokenType.UNLOGGED,
             TokenType.UNPIVOT,
    -        TokenType.PROCEDURE,
    -        TokenType.VIEW,
             TokenType.VOLATILE,
             TokenType.WINDOW,
    +        *CREATABLES,
             *SUBQUERY_PREDICATES,
             *TYPE_TOKENS,
             *NO_PAREN_FUNCTIONS,
    @@ -428,6 +442,7 @@ class Parser(metaclass=_Parser):
             TokenType.BEGIN: lambda self: self._parse_transaction(),
             TokenType.CACHE: lambda self: self._parse_cache(),
             TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
    +        TokenType.COMMENT: lambda self: self._parse_comment(),
             TokenType.CREATE: lambda self: self._parse_create(),
             TokenType.DELETE: lambda self: self._parse_delete(),
             TokenType.DESC: lambda self: self._parse_describe(),
    @@ -490,6 +505,9 @@ class Parser(metaclass=_Parser):
             TokenType.GLOB: lambda self, this: self._parse_escape(
                 self.expression(exp.Glob, this=this, expression=self._parse_bitwise())
             ),
    +        TokenType.OVERLAPS: lambda self, this: self._parse_escape(
    +            self.expression(exp.Overlaps, this=this, expression=self._parse_bitwise())
    +        ),
             TokenType.IN: lambda self, this: self._parse_in(this),
             TokenType.IS: lambda self, this: self._parse_is(this),
             TokenType.LIKE: lambda self, this: self._parse_escape(
    @@ -628,6 +646,14 @@ class Parser(metaclass=_Parser):
             "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
         }
     
    +    ALTER_PARSERS = {
    +        "ADD": lambda self: self._parse_alter_table_add(),
    +        "ALTER": lambda self: self._parse_alter_table_alter(),
    +        "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
    +        "DROP": lambda self: self._parse_alter_table_drop(),
    +        "RENAME": lambda self: self._parse_alter_table_rename(),
    +    }
    +
         SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
     
         NO_PAREN_FUNCTION_PARSERS = {
    @@ -669,16 +695,6 @@ class Parser(metaclass=_Parser):
     
         MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
     
    -    CREATABLES = {
    -        TokenType.COLUMN,
    -        TokenType.FUNCTION,
    -        TokenType.INDEX,
    -        TokenType.PROCEDURE,
    -        TokenType.SCHEMA,
    -        TokenType.TABLE,
    -        TokenType.VIEW,
    -    }
    -
         TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
     
         INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
    @@ -689,6 +705,8 @@ class Parser(metaclass=_Parser):
     
         STRICT_CAST = True
     
    +    INTEGER_DIVISION = True
    +
         __slots__ = (
             "error_level",
             "error_message_context",
    @@ -940,6 +958,32 @@ class Parser(metaclass=_Parser):
         def _parse_command(self) -> exp.Expression:
             return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
     
    +    def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
    +        start = self._prev
    +        exists = self._parse_exists() if allow_exists else None
    +
    +        self._match(TokenType.ON)
    +
    +        kind = self._match_set(self.CREATABLES) and self._prev
    +
    +        if not kind:
    +            return self._parse_as_command(start)
    +
    +        if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
    +            this = self._parse_user_defined_function(kind=kind.token_type)
    +        elif kind.token_type == TokenType.TABLE:
    +            this = self._parse_table()
    +        elif kind.token_type == TokenType.COLUMN:
    +            this = self._parse_column()
    +        else:
    +            this = self._parse_id_var()
    +
    +        self._match(TokenType.IS)
    +
    +        return self.expression(
    +            exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
    +        )
    +
         def _parse_statement(self) -> t.Optional[exp.Expression]:
             if self._curr is None:
                 return None
    @@ -990,6 +1034,7 @@ class Parser(metaclass=_Parser):
                 TokenType.OR, TokenType.REPLACE
             )
             unique = self._match(TokenType.UNIQUE)
    +        volatile = self._match(TokenType.VOLATILE)
     
             if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
                 self._match(TokenType.TABLE)
    @@ -1028,11 +1073,7 @@ class Parser(metaclass=_Parser):
                     expression = self.expression(exp.Return, this=expression)
             elif create_token.token_type == TokenType.INDEX:
                 this = self._parse_index()
    -        elif create_token.token_type in (
    -            TokenType.TABLE,
    -            TokenType.VIEW,
    -            TokenType.SCHEMA,
    -        ):
    +        elif create_token.token_type in self.DB_CREATABLES:
                 table_parts = self._parse_table_parts(schema=True)
     
                 # exp.Properties.Location.POST_NAME
    @@ -1100,11 +1141,12 @@ class Parser(metaclass=_Parser):
                 exp.Create,
                 this=this,
                 kind=create_token.text,
    +            replace=replace,
                 unique=unique,
    +            volatile=volatile,
                 expression=expression,
                 exists=exists,
                 properties=properties,
    -            replace=replace,
                 indexes=indexes,
                 no_schema_binding=no_schema_binding,
                 begin=begin,
    @@ -3648,6 +3690,47 @@ class Parser(metaclass=_Parser):
     
             return self.expression(exp.AddConstraint, this=this, expression=expression)
     
    +    def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
    +        index = self._index - 1
    +
    +        if self._match_set(self.ADD_CONSTRAINT_TOKENS):
    +            return self._parse_csv(self._parse_add_constraint)
    +
    +        self._retreat(index)
    +        return self._parse_csv(self._parse_add_column)
    +
    +    def _parse_alter_table_alter(self) -> exp.Expression:
    +        self._match(TokenType.COLUMN)
    +        column = self._parse_field(any_token=True)
    +
    +        if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
    +            return self.expression(exp.AlterColumn, this=column, drop=True)
    +        if self._match_pair(TokenType.SET, TokenType.DEFAULT):
    +            return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
    +
    +        self._match_text_seq("SET", "DATA")
    +        return self.expression(
    +            exp.AlterColumn,
    +            this=column,
    +            dtype=self._match_text_seq("TYPE") and self._parse_types(),
    +            collate=self._match(TokenType.COLLATE) and self._parse_term(),
    +            using=self._match(TokenType.USING) and self._parse_conjunction(),
    +        )
    +
    +    def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
    +        index = self._index - 1
    +
    +        partition_exists = self._parse_exists()
    +        if self._match(TokenType.PARTITION, advance=False):
    +            return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
    +
    +        self._retreat(index)
    +        return self._parse_csv(self._parse_drop_column)
    +
    +    def _parse_alter_table_rename(self) -> exp.Expression:
    +        self._match_text_seq("TO")
    +        return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
    +
         def _parse_alter(self) -> t.Optional[exp.Expression]:
             if not self._match(TokenType.TABLE):
                 return self._parse_as_command(self._prev)
    @@ -3655,50 +3738,12 @@ class Parser(metaclass=_Parser):
             exists = self._parse_exists()
             this = self._parse_table(schema=True)
     
    -        actions: t.Optional[exp.Expression | t.List[t.Optional[exp.Expression]]] = None
    -
    -        index = self._index
    -        if self._match(TokenType.DELETE):
    -            actions = [self.expression(exp.Delete, where=self._parse_where())]
    -        elif self._match_text_seq("ADD"):
    -            if self._match_set(self.ADD_CONSTRAINT_TOKENS):
    -                actions = self._parse_csv(self._parse_add_constraint)
    -            else:
    -                self._retreat(index)
    -                actions = self._parse_csv(self._parse_add_column)
    -        elif self._match_text_seq("DROP"):
    -            partition_exists = self._parse_exists()
    +        if not self._curr:
    +            return None
     
    -            if self._match(TokenType.PARTITION, advance=False):
    -                actions = self._parse_csv(
    -                    lambda: self._parse_drop_partition(exists=partition_exists)
    -                )
    -            else:
    -                self._retreat(index)
    -                actions = self._parse_csv(self._parse_drop_column)
    -        elif self._match_text_seq("RENAME", "TO"):
    -            actions = self.expression(exp.RenameTable, this=self._parse_table(schema=True))
    -        elif self._match_text_seq("ALTER"):
    -            self._match(TokenType.COLUMN)
    -            column = self._parse_field(any_token=True)
    -
    -            if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
    -                actions = self.expression(exp.AlterColumn, this=column, drop=True)
    -            elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
    -                actions = self.expression(
    -                    exp.AlterColumn, this=column, default=self._parse_conjunction()
    -                )
    -            else:
    -                self._match_text_seq("SET", "DATA")
    -                actions = self.expression(
    -                    exp.AlterColumn,
    -                    this=column,
    -                    dtype=self._match_text_seq("TYPE") and self._parse_types(),
    -                    collate=self._match(TokenType.COLLATE) and self._parse_term(),
    -                    using=self._match(TokenType.USING) and self._parse_conjunction(),
    -                )
    +        parser = self.ALTER_PARSERS.get(self._curr.text.upper())
    +        actions = ensure_list(self._advance() or parser(self)) if parser else []  # type: ignore
     
    -        actions = ensure_list(actions)
             return self.expression(exp.AlterTable, this=this, exists=exists, actions=actions)
     
         def _parse_show(self) -> t.Optional[exp.Expression]:
    @@ -3772,7 +3817,9 @@ class Parser(metaclass=_Parser):
         def _parse_as_command(self, start: Token) -> exp.Command:
             while self._curr:
                 self._advance()
    -        return exp.Command(this=self._find_sql(start, self._prev))
    +        text = self._find_sql(start, self._prev)
    +        size = len(start.text)
    +        return exp.Command(this=text[:size], expression=text[size:])
     
         def _find_parser(
             self, parsers: t.Dict[str, t.Callable], trie: t.Dict
    diff --git a/sqlglot/tokens.py b/sqlglot/tokens.py
    index f3f1a70..7a23803 100644
    --- a/sqlglot/tokens.py
    +++ b/sqlglot/tokens.py
    @@ -60,6 +60,7 @@ class TokenType(AutoName):
         STRING = auto()
         NUMBER = auto()
         IDENTIFIER = auto()
    +    DATABASE = auto()
         COLUMN = auto()
         COLUMN_DEF = auto()
         SCHEMA = auto()
    @@ -203,6 +204,7 @@ class TokenType(AutoName):
         IS = auto()
         ISNULL = auto()
         JOIN = auto()
    +    JOIN_MARKER = auto()
         LANGUAGE = auto()
         LATERAL = auto()
         LAZY = auto()
    @@ -235,6 +237,7 @@ class TokenType(AutoName):
         OUTER = auto()
         OUT_OF = auto()
         OVER = auto()
    +    OVERLAPS = auto()
         OVERWRITE = auto()
         PARTITION = auto()
         PARTITION_BY = auto()
    @@ -491,6 +494,7 @@ class Tokenizer(metaclass=_Tokenizer):
             "CURRENT_DATE": TokenType.CURRENT_DATE,
             "CURRENT ROW": TokenType.CURRENT_ROW,
             "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
    +        "DATABASE": TokenType.DATABASE,
             "DEFAULT": TokenType.DEFAULT,
             "DELETE": TokenType.DELETE,
             "DESC": TokenType.DESC,
    @@ -564,6 +568,7 @@ class Tokenizer(metaclass=_Tokenizer):
             "OUTER": TokenType.OUTER,
             "OUT OF": TokenType.OUT_OF,
             "OVER": TokenType.OVER,
    +        "OVERLAPS": TokenType.OVERLAPS,
             "OVERWRITE": TokenType.OVERWRITE,
             "PARTITION": TokenType.PARTITION,
             "PARTITION BY": TokenType.PARTITION_BY,
    @@ -652,6 +657,7 @@ class Tokenizer(metaclass=_Tokenizer):
             "DOUBLE PRECISION": TokenType.DOUBLE,
             "JSON": TokenType.JSON,
             "CHAR": TokenType.CHAR,
    +        "CHARACTER": TokenType.CHAR,
             "NCHAR": TokenType.NCHAR,
             "VARCHAR": TokenType.VARCHAR,
             "VARCHAR2": TokenType.VARCHAR,
    @@ -687,8 +693,10 @@ class Tokenizer(metaclass=_Tokenizer):
             "ALTER VIEW": TokenType.COMMAND,
             "ANALYZE": TokenType.COMMAND,
             "CALL": TokenType.COMMAND,
    +        "COMMENT": TokenType.COMMENT,
             "COPY": TokenType.COMMAND,
             "EXPLAIN": TokenType.COMMAND,
    +        "GRANT": TokenType.COMMAND,
             "OPTIMIZE": TokenType.COMMAND,
             "PREPARE": TokenType.COMMAND,
             "TRUNCATE": TokenType.COMMAND,
    diff --git a/tests/dialects/test_dialect.py b/tests/dialects/test_dialect.py
    index 3186390..5054d94 100644
    --- a/tests/dialects/test_dialect.py
    +++ b/tests/dialects/test_dialect.py
    @@ -520,7 +520,7 @@ class TestDialect(Validator):
                     "mysql": "DATE_ADD(x, INTERVAL 1 DAY)",
                     "postgres": "x + INTERVAL '1' 'day'",
                     "presto": "DATE_ADD('day', 1, x)",
    -                "snowflake": "DATEADD(x, 1, 'day')",
    +                "snowflake": "DATEADD(day, 1, x)",
                     "spark": "DATE_ADD(x, 1)",
                     "sqlite": "DATE(x, '1 day')",
                     "starrocks": "DATE_ADD(x, INTERVAL 1 DAY)",
    @@ -1279,6 +1279,16 @@ class TestDialect(Validator):
                     "sqlite": "SELECT y AS x FROM my_table AS t",
                 },
             )
    +        self.validate_all(
    +            "SELECT * FROM (SELECT * FROM my_table AS t) AS tbl",
    +            write={
    +                "drill": "SELECT * FROM (SELECT * FROM my_table AS t) AS tbl",
    +                "hive": "SELECT * FROM (SELECT * FROM my_table AS t) AS tbl",
    +                "oracle": "SELECT * FROM (SELECT * FROM my_table t) tbl",
    +                "postgres": "SELECT * FROM (SELECT * FROM my_table AS t) AS tbl",
    +                "sqlite": "SELECT * FROM (SELECT * FROM my_table AS t) AS tbl",
    +            },
    +        )
             self.validate_all(
                 "WITH cte1 AS (SELECT a, b FROM table1), cte2 AS (SELECT c, e AS d FROM table2) SELECT b, d AS dd FROM cte1 AS t JOIN cte2 WHERE cte1.a = cte2.c",
                 write={
    diff --git a/tests/dialects/test_duckdb.py b/tests/dialects/test_duckdb.py
    index 46e75c0..0efb7e7 100644
    --- a/tests/dialects/test_duckdb.py
    +++ b/tests/dialects/test_duckdb.py
    @@ -21,10 +21,10 @@ class TestDuckDB(Validator):
             self.validate_all(
                 "EPOCH_MS(x)",
                 write={
    -                "bigquery": "UNIX_TO_TIME(x / 1000)",
    +                "bigquery": "UNIX_TO_TIME(CAST(x / 1000 AS INT64))",
                     "duckdb": "TO_TIMESTAMP(x / 1000)",
                     "presto": "FROM_UNIXTIME(x / 1000)",
    -                "spark": "FROM_UNIXTIME(x / 1000)",
    +                "spark": "FROM_UNIXTIME(CAST(x / 1000 AS INT))",
                 },
             )
             self.validate_all(
    diff --git a/tests/dialects/test_oracle.py b/tests/dialects/test_oracle.py
    index f85a117..4dc3f1b 100644
    --- a/tests/dialects/test_oracle.py
    +++ b/tests/dialects/test_oracle.py
    @@ -7,6 +7,11 @@ class TestOracle(Validator):
         def test_oracle(self):
             self.validate_identity("SELECT * FROM V$SESSION")
     
    +    def test_join_marker(self):
    +        self.validate_identity("SELECT e1.x, e2.x FROM e e1, e e2 WHERE e1.y (+) = e2.y")
    +        self.validate_identity("SELECT e1.x, e2.x FROM e e1, e e2 WHERE e1.y = e2.y (+)")
    +        self.validate_identity("SELECT e1.x, e2.x FROM e e1, e e2 WHERE e1.y (+) = e2.y (+)")
    +
         def test_xml_table(self):
             self.validate_identity("XMLTABLE('x')")
             self.validate_identity("XMLTABLE('x' RETURNING SEQUENCE BY REF)")
    diff --git a/tests/dialects/test_postgres.py b/tests/dialects/test_postgres.py
    index f0117bc..5c4a23e 100644
    --- a/tests/dialects/test_postgres.py
    +++ b/tests/dialects/test_postgres.py
    @@ -106,6 +106,47 @@ class TestPostgres(Validator):
             self.validate_identity("x ~ 'y'")
             self.validate_identity("x ~* 'y'")
     
    +        self.validate_all(
    +            "1 / 2",
    +            read={
    +                "drill": "1 / 2",
    +                "duckdb": "1 / 2",
    +                "postgres": "1 / 2",
    +                "presto": "1 / 2",
    +                "redshift": "1 / 2",
    +                "sqlite": "1 / 2",
    +                "teradata": "1 / 2",
    +                "trino": "1 / 2",
    +                "tsql": "1 / 2",
    +            },
    +            write={
    +                "drill": "1 / 2",
    +                "duckdb": "1 / 2",
    +                "postgres": "1 / 2",
    +                "presto": "1 / 2",
    +                "redshift": "1 / 2",
    +                "sqlite": "1 / 2",
    +                "teradata": "1 / 2",
    +                "trino": "1 / 2",
    +                "tsql": "1 / 2",
    +                "bigquery": "CAST(1 / 2 AS INT64)",
    +                "clickhouse": "CAST(1 / 2 AS Int32)",
    +                "databricks": "CAST(1 / 2 AS INT)",
    +                "hive": "CAST(1 / 2 AS INT)",
    +                "mysql": "CAST(1 / 2 AS INT)",
    +                "oracle": "CAST(1 / 2 AS NUMBER)",
    +                "snowflake": "CAST(1 / 2 AS INT)",
    +                "spark": "CAST(1 / 2 AS INT)",
    +                "starrocks": "CAST(1 / 2 AS INT)",
    +            },
    +        )
    +        self.validate_all(
    +            "SELECT (DATE '2016-01-10', DATE '2016-02-01') OVERLAPS (DATE '2016-01-20', DATE '2016-02-10')",
    +            write={
    +                "postgres": "SELECT (CAST('2016-01-10' AS DATE), CAST('2016-02-01' AS DATE)) OVERLAPS (CAST('2016-01-20' AS DATE), CAST('2016-02-10' AS DATE))",
    +                "tsql": "SELECT (CAST('2016-01-10' AS DATE), CAST('2016-02-01' AS DATE)) OVERLAPS (CAST('2016-01-20' AS DATE), CAST('2016-02-10' AS DATE))",
    +            },
    +        )
             self.validate_all(
                 "x ^ y",
                 write={
    diff --git a/tests/dialects/test_redshift.py b/tests/dialects/test_redshift.py
    index fa4d422..640706a 100644
    --- a/tests/dialects/test_redshift.py
    +++ b/tests/dialects/test_redshift.py
    @@ -38,6 +38,12 @@ class TestRedshift(Validator):
                     "redshift": "SELECT CAST('abc' AS VARBYTE)",
                 },
             )
    +        self.validate_all(
    +            "SELECT 'abc'::CHARACTER",
    +            write={
    +                "redshift": "SELECT CAST('abc' AS CHAR)",
    +            },
    +        )
             self.validate_all(
                 "SELECT * FROM venue WHERE (venuecity, venuestate) IN (('Miami', 'FL'), ('Tampa', 'FL')) ORDER BY venueid",
                 write={
    diff --git a/tests/dialects/test_snowflake.py b/tests/dialects/test_snowflake.py
    index a934c78..3358227 100644
    --- a/tests/dialects/test_snowflake.py
    +++ b/tests/dialects/test_snowflake.py
    @@ -10,10 +10,58 @@ class TestSnowflake(Validator):
             self.validate_identity("SELECT REGEXP_LIKE(a, b, c)")
             self.validate_identity("PUT file:///dir/tmp.csv @%table")
             self.validate_identity("CREATE TABLE foo (bar FLOAT AUTOINCREMENT START 0 INCREMENT 1)")
    +        self.validate_identity("ALTER TABLE IF EXISTS foo SET TAG a = 'a', b = 'b', c = 'c'")
    +        self.validate_identity("ALTER TABLE foo UNSET TAG a, b, c")
             self.validate_identity(
                 'COPY INTO NEW_TABLE ("foo", "bar") FROM (SELECT $1, $2, $3, $4 FROM @%old_table)'
             )
    +        self.validate_identity("COMMENT IF EXISTS ON TABLE foo IS 'bar'")
     
    +        self.validate_all(
    +            "1 / 2",
    +            read={
    +                "bigquery": "1 / 2",
    +                "clickhouse": "1 / 2",
    +                "databricks": "1 / 2",
    +                "hive": "1 / 2",
    +                "mysql": "1 / 2",
    +                "oracle": "1 / 2",
    +                "snowflake": "1 / 2",
    +                "spark": "1 / 2",
    +                "starrocks": "1 / 2",
    +            },
    +            write={
    +                "bigquery": "1 / 2",
    +                "clickhouse": "1 / 2",
    +                "databricks": "1 / 2",
    +                "hive": "1 / 2",
    +                "mysql": "1 / 2",
    +                "oracle": "1 / 2",
    +                "snowflake": "1 / 2",
    +                "spark": "1 / 2",
    +                "starrocks": "1 / 2",
    +                "drill": "CAST(1 AS DOUBLE) / 2",
    +                "duckdb": "CAST(1 AS DOUBLE) / 2",
    +                "postgres": "CAST(1 AS DOUBLE PRECISION) / 2",
    +                "presto": "CAST(1 AS DOUBLE) / 2",
    +                "redshift": "CAST(1 AS DOUBLE PRECISION) / 2",
    +                "sqlite": "CAST(1 AS REAL) / 2",
    +                "teradata": "CAST(1 AS DOUBLE) / 2",
    +                "trino": "CAST(1 AS DOUBLE) / 2",
    +                "tsql": "CAST(1 AS DOUBLE) / 2",
    +            },
    +        )
    +        self.validate_all(
    +            "DIV0(foo, bar)",
    +            write={
    +                "snowflake": "IFF(bar = 0, 0, foo / bar)",
    +                "sqlite": "CASE WHEN bar = 0 THEN 0 ELSE CAST(foo AS REAL) / bar END",
    +                "presto": "IF(bar = 0, 0, CAST(foo AS DOUBLE) / bar)",
    +                "spark": "IF(bar = 0, 0, foo / bar)",
    +                "hive": "IF(bar = 0, 0, foo / bar)",
    +                "duckdb": "CASE WHEN bar = 0 THEN 0 ELSE CAST(foo AS DOUBLE) / bar END",
    +            },
    +        )
             self.validate_all(
                 "CREATE OR REPLACE TEMPORARY TABLE x (y NUMBER IDENTITY(0, 1))",
                 write={
    @@ -63,9 +111,13 @@ class TestSnowflake(Validator):
                 },
             )
             self.validate_all(
    -            "SELECT * EXCLUDE a, b RENAME (c AS d, E as F) FROM xxx",
    +            "SELECT * EXCLUDE (a, b) RENAME (c AS d, E AS F) FROM xxx",
    +            read={
    +                "duckdb": "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx",
    +            },
                 write={
                     "snowflake": "SELECT * EXCLUDE (a, b) RENAME (c AS d, E AS F) FROM xxx",
    +                "duckdb": "SELECT * EXCLUDE (a, b) REPLACE (c AS d, E AS F) FROM xxx",
                 },
             )
             self.validate_all(
    @@ -170,6 +222,20 @@ class TestSnowflake(Validator):
                     "snowflake": "SELECT ARRAY_AGG(DISTINCT a)",
                 },
             )
    +        self.validate_all(
    +            "ARRAY_TO_STRING(x, '')",
    +            write={
    +                "spark": "ARRAY_JOIN(x, '')",
    +                "snowflake": "ARRAY_TO_STRING(x, '')",
    +            },
    +        )
    +        self.validate_all(
    +            "TO_ARRAY(x)",
    +            write={
    +                "spark": "ARRAY(x)",
    +                "snowflake": "[x]",
    +            },
    +        )
             self.validate_all(
                 "SELECT * FROM a INTERSECT ALL SELECT * FROM b",
                 write={
    diff --git a/tests/dialects/test_teradata.py b/tests/dialects/test_teradata.py
    index dd251ab..5d4f7db 100644
    --- a/tests/dialects/test_teradata.py
    +++ b/tests/dialects/test_teradata.py
    @@ -24,19 +24,21 @@ class TestTeradata(Validator):
     
         def test_create(self):
             self.validate_identity("CREATE TABLE x (y INT) PRIMARY INDEX (y) PARTITION BY y INDEX (y)")
    +        self.validate_identity(
    +            "CREATE TABLE a (b INT) PRIMARY INDEX (y) PARTITION BY RANGE_N(b BETWEEN 'a', 'b' AND 'c' EACH '1')"
    +        )
    +        self.validate_identity(
    +            "CREATE TABLE a (b INT) PARTITION BY RANGE_N(b BETWEEN 0, 1 AND 2 EACH 1)"
    +        )
    +        self.validate_identity(
    +            "CREATE TABLE a (b INT) PARTITION BY RANGE_N(b BETWEEN *, 1 AND * EACH b) INDEX (a)"
    +        )
     
             self.validate_all(
                 "REPLACE VIEW a AS (SELECT b FROM c)",
                 write={"teradata": "CREATE OR REPLACE VIEW a AS (SELECT b FROM c)"},
             )
     
    -        self.validate_all(
    -            "SEL a FROM b",
    -            write={"teradata": "SELECT a FROM b"},
    -        )
    -
    -        self.validate_identity("CREATE VOLATILE TABLE a (b INT)")
    -
         def test_insert(self):
             self.validate_all(
                 "INS INTO x SELECT * FROM y", write={"teradata": "INSERT INTO x SELECT * FROM y"}
    @@ -54,6 +56,11 @@ class TestTeradata(Validator):
             self.validate_all("a NE b", write={"teradata": "a <> b"})
             self.validate_all("a NOT= b", write={"teradata": "a <> b"})
     
    +        self.validate_all(
    +            "SEL a FROM b",
    +            write={"teradata": "SELECT a FROM b"},
    +        )
    +
         def test_datatype(self):
             self.validate_all(
                 "CREATE TABLE z (a ST_GEOMETRY(1))",
    diff --git a/tests/fixtures/identity.sql b/tests/fixtures/identity.sql
    index 5e2260c..0677a05 100644
    --- a/tests/fixtures/identity.sql
    +++ b/tests/fixtures/identity.sql
    @@ -558,7 +558,7 @@ CREATE TABLE a, BEFORE JOURNAL, AFTER JOURNAL, FREESPACE=1, DEFAULT DATABLOCKSIZ
     CREATE TABLE a, DUAL JOURNAL, DUAL AFTER JOURNAL, MERGEBLOCKRATIO=1 PERCENT, DATABLOCKSIZE=10 KILOBYTES (a INT)
     CREATE TABLE a, DUAL BEFORE JOURNAL, LOCAL AFTER JOURNAL, MAXIMUM DATABLOCKSIZE, BLOCKCOMPRESSION=AUTOTEMP(c1 INT) (a INT)
     CREATE SET GLOBAL TEMPORARY TABLE a, NO BEFORE JOURNAL, NO AFTER JOURNAL, MINIMUM DATABLOCKSIZE, BLOCKCOMPRESSION=NEVER (a INT)
    -CREATE MULTISET TABLE a, NOT LOCAL AFTER JOURNAL, FREESPACE=1 PERCENT, DATABLOCKSIZE=10 BYTES, WITH NO CONCURRENT ISOLATED LOADING FOR ALL (a INT)
    +CREATE VOLATILE MULTISET TABLE a, NOT LOCAL AFTER JOURNAL, FREESPACE=1 PERCENT, DATABLOCKSIZE=10 BYTES, WITH NO CONCURRENT ISOLATED LOADING FOR ALL (a INT)
     CREATE ALGORITHM=UNDEFINED DEFINER=foo@% SQL SECURITY DEFINER VIEW a AS (SELECT a FROM b)
     CREATE TEMPORARY TABLE x AS SELECT a FROM d
     CREATE TEMPORARY TABLE IF NOT EXISTS x AS SELECT a FROM d
    @@ -591,6 +591,8 @@ CREATE UNIQUE INDEX abc ON t (a, b, b)
     CREATE UNIQUE INDEX IF NOT EXISTS my_idx ON tbl (a, b)
     CREATE SCHEMA x
     CREATE SCHEMA IF NOT EXISTS y
    +CREATE DATABASE x
    +CREATE DATABASE IF NOT EXISTS y
     CREATE PROCEDURE IF NOT EXISTS a.b.c() AS 'DECLARE BEGIN; END'
     CREATE OR REPLACE STAGE
     DESCRIBE x
    @@ -619,6 +621,7 @@ ALTER SEQUENCE IF EXISTS baz RESTART WITH boo
     ALTER TYPE electronic_mail RENAME TO email
     ALTER VIEW foo ALTER COLUMN bla SET DEFAULT 'NOT SET'
     ALTER DOMAIN foo VALIDATE CONSTRAINT bla
    +ALTER schema doo
     ANALYZE a.y
     DELETE FROM x WHERE y > 1
     DELETE FROM y
    @@ -671,6 +674,11 @@ UPDATE db.tbl_name SET foo = 123, foo_1 = 234 WHERE tbl_name.bar = 234
     TRUNCATE TABLE x
     OPTIMIZE TABLE y
     VACUUM FREEZE my_table
    +COMMENT ON ACCESS METHOD gin IS 'GIN index access method'
    +COMMENT ON COLUMN my_schema.my_table.my_column IS 'Employee ID number'
    +COMMENT ON DATABASE my_database IS 'Development Database'
    +COMMENT ON PROCEDURE my_proc(integer, integer) IS 'Runs a report'
    +COMMENT ON TABLE my_schema.my_table IS 'Employee Information'
     WITH a AS (SELECT 1) INSERT INTO b SELECT * FROM a
     WITH a AS (SELECT * FROM b) UPDATE a SET col = 1
     WITH a AS (SELECT * FROM b) CREATE TABLE b AS SELECT * FROM a
    @@ -753,3 +761,5 @@ SELECT RIGHT.FOO FROM BLA AS RIGHT
     SELECT LEFT FROM LEFT LEFT JOIN RIGHT RIGHT JOIN LEFT
     SELECT * FROM x WHERE name ILIKE ANY XXX('a', 'b')
     SELECT * FROM x WHERE name LIKE ANY XXX('a', 'b')
    +a OVERLAPS b
    +GRANT INSERT ON foo TO bla
    diff --git a/tests/fixtures/optimizer/optimizer.sql b/tests/fixtures/optimizer/optimizer.sql
    index 6ccf24e..a14e325 100644
    --- a/tests/fixtures/optimizer/optimizer.sql
    +++ b/tests/fixtures/optimizer/optimizer.sql
    @@ -385,3 +385,48 @@ SELECT
       "x"."a" + 1 AS "b",
       "x"."b" + 1 AS "c"
     FROM "x" AS "x";
    +
    +# title: left join doesnt push down predicate to join in merge subqueries
    +# execute: false
    +SELECT
    +  main_query.id,
    +  main_query.score
    +FROM (
    +  SELECT
    +    alias_1.id,
    +    score
    +  FROM (
    +    SELECT
    +      company_table.score AS score,
    +      id
    +    FROM company_table
    +  ) AS alias_1
    +  JOIN (
    +    SELECT
    +      id
    +    FROM (
    +      SELECT
    +        company_table_2.id,
    +        CASE WHEN unlocked.company_id IS NULL THEN 0 ELSE 1 END AS is_exported
    +      FROM company_table AS company_table_2
    +      LEFT JOIN unlocked AS unlocked
    +        ON company_table_2.id = unlocked.company_id
    +    )
    +    WHERE
    +      NOT id IS NULL AND is_exported = FALSE
    +  ) AS alias_2
    +    ON (
    +      alias_1.id = alias_2.id
    +    )
    +) AS main_query;
    +SELECT
    +  "company_table"."id" AS "id",
    +  "company_table"."score" AS "score"
    +FROM "company_table" AS "company_table"
    +JOIN "company_table" AS "company_table_2"
    +  ON "company_table"."id" = "company_table_2"."id"
    +LEFT JOIN "unlocked" AS "unlocked"
    +  ON "company_table_2"."id" = "unlocked"."company_id"
    +WHERE
    +  CASE WHEN "unlocked"."company_id" IS NULL THEN 0 ELSE 1 END = FALSE
    +  AND NOT "company_table_2"."id" IS NULL;
    -- 
    cgit v1.2.3